CN114266412A - Optimization method and device for coking production, electronic equipment and storage medium - Google Patents
Optimization method and device for coking production, electronic equipment and storage medium Download PDFInfo
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- 238000004519 manufacturing process Methods 0.000 title claims abstract description 429
- 238000000034 method Methods 0.000 title claims abstract description 249
- 238000004939 coking Methods 0.000 title claims abstract description 112
- 238000005457 optimization Methods 0.000 title claims abstract description 51
- 238000003860 storage Methods 0.000 title claims abstract description 28
- 230000008569 process Effects 0.000 claims abstract description 206
- 230000002159 abnormal effect Effects 0.000 claims abstract description 46
- 239000000571 coke Substances 0.000 claims description 104
- 238000004590 computer program Methods 0.000 claims description 5
- 238000013480 data collection Methods 0.000 claims description 3
- 239000003245 coal Substances 0.000 description 9
- 238000007599 discharging Methods 0.000 description 9
- 238000010586 diagram Methods 0.000 description 7
- 238000000197 pyrolysis Methods 0.000 description 4
- 230000000630 rising effect Effects 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000011112 process operation Methods 0.000 description 3
- 238000000137 annealing Methods 0.000 description 2
- 238000010923 batch production Methods 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000005065 mining Methods 0.000 description 2
- 238000002156 mixing Methods 0.000 description 2
- 238000012163 sequencing technique Methods 0.000 description 2
- 238000005235 decoking Methods 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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Abstract
The application provides an optimization method, an optimization device, electronic equipment and a storage medium for coking production, wherein the optimization method comprises the following steps: acquiring the furnace hole number of a target furnace hole to be optimized; based on the furnace hole numbers, acquiring a plurality of production batches corresponding to the furnace hole numbers and historical process data of each production batch from a pre-stored coking production data table; and determining abnormal process data of the target furnace hole according to the historical process data of each production batch, and optimizing and adjusting the abnormal process data. The technical scheme provided by the application can be used for storing the coking production data according to the production batch in a structuralization mode, obtaining the production batch corresponding to the furnace holes in the historical production data by using the structuralization storage mode, directly determining the corresponding production data according to the production batch, optimizing the current coking production process, improving the utilization rate of the coking production data and realizing the optimal control of the current coking production process.
Description
Technical Field
The application relates to the field of coking production control, in particular to an optimization method and device for coking production, electronic equipment and a storage medium.
Background
The coke oven production is a standard process for periodically carrying out coal charging, dry distillation, coke discharging and the like on coking blended coal, and is a main mode of coke production, one process cycle of the coking blended coal dry distillation comprises a coking stage and an annealing stage in two stages, and the coking cycle is generally 18 to 30 hours in the normal production process; the continuous safe and stable production is realized by carrying out fixed series sequencing management on the coal charging and coke pushing time of each furnace hole, and the coking production has typical batch production characteristics.
At present, the storage of the coking production data is sequential storage, that is, all coking production data are stored according to time, each production data is only distinguished through the production time, and the source of each production data cannot be distinguished, when historical production data are analyzed, if a large amount of time is needed for searching target data in the same time period, the historical production data are difficult to be called efficiently, and effective mining of historical operation information is difficult to realize; therefore, how to improve the utilization rate of coking production data and realize the optimal control of coking production becomes a problem to be solved urgently.
Disclosure of Invention
In view of this, an object of the present application is to provide a method and an apparatus for optimizing coking production, an electronic device and a storage medium, which are capable of performing structured storage on coking production data according to production batches, obtaining the production batches corresponding to furnace holes from historical production data by using a structured storage manner, directly determining corresponding production data according to the production batches, optimizing a current coking production process, improving a utilization rate of coking production data, and implementing optimal control on the current coking production process.
The application mainly comprises the following aspects:
in a first aspect, an embodiment of the present application provides an optimization method for coking production, including:
acquiring the furnace hole number of a target furnace hole to be optimized;
based on the furnace hole numbers, obtaining a plurality of production batches corresponding to the furnace hole numbers and historical process data of each production batch from a pre-stored coking production data table; the coking production data table comprises a plurality of historical process data which are stored according to corresponding production batches in a classified manner;
and determining abnormal process data of the target furnace hole according to the historical process data of each production batch, and optimizing and adjusting the abnormal process data.
Further, a coking production data table is constructed by the following steps:
determining a plurality of data acquisition types according to the setting requirements of a production target coke oven; the data acquisition types comprise coke oven numbers, oven hole numbers under each coke oven number, production batch switching marks and data marks under each oven hole number, and each data mark is provided with an acquisition mark corresponding to the data mark;
acquiring a plurality of process data according to the production batches numbered by the furnace holes in the production process of each coke oven based on a plurality of data acquisition types, and storing all the process data acquired in each production batch as target data in a memory;
and storing the target data of all production batches of all the furnace hole numbers corresponding to all the coke ovens in the memory according to a plurality of data acquisition types to obtain a coking production data table.
Further, the step of acquiring a plurality of process data according to the production batches with the furnace hole numbers in the production process of each coke oven based on a plurality of data acquisition types, and storing all the process data acquired in each production batch as target data in a memory includes:
acquiring the number of the current coke oven according to the size sequence of the coke oven number of each coke oven in the production process of each coke oven based on a plurality of data acquisition types;
determining the current furnace hole number in the furnace holes included in the current coke furnace number according to the size sequence of the furnace hole numbers;
when the production batch switching mark of the current furnace hole number is in an open state, acquiring a plurality of process data of the current production batch;
detecting whether the current production batch is finished or not;
if the process is finished, the production batch switching mark is switched from the on state to the off state, all the process data acquired by the current production batch are stored in the memory as target data until the production batch switching mark of the current furnace hole number is switched to the on state, and a plurality of process data of the next production batch of the current furnace hole number are acquired;
and if not, continuing to acquire a plurality of process data of the current production batch of the current furnace hole number.
Further, the step before the collection of the plurality of process data of the current production lot is performed when the production lot switching flag of the current furnace hole number is in the on state includes:
determining the current production batch according to the production batch switching mark of the current furnace hole number;
if the production batch switching mark is in a closed state, establishing a new production batch, and updating the new production batch to the current production batch;
and if the production batch switching mark is in an open state, acquiring the current production batch.
Further, the step of collecting a plurality of process data of the current production batch when the production batch switching flag of the current furnace hole number is in an on state includes:
when the production batch switching mark of the current furnace hole number is in an open state, acquiring acquisition marks corresponding to all data marks according to all data marks of the current production batch;
and acquiring a plurality of process data of the current production batch according to the acquisition mark.
Further, the step of collecting a plurality of process data of the current production lot according to the collection flag includes:
determining whether the acquisition mark corresponding to each data identifier is in an open state or not according to the acquisition mark;
if so, acquiring the process data of the current production batch of the data identifier corresponding to the on state of the acquisition mark;
if not, stopping the process data acquisition of the current production batch for the data identifier corresponding to the closed state of the acquisition mark.
Further, the step of determining abnormal process data of the target furnace hole according to the historical process data of each production batch and performing optimization adjustment on the abnormal process data includes:
determining a reference batch from a plurality of production batches according to historical process data of each production batch;
and according to the reference process data in the reference batch, determining abnormal process data of which the difference value between the current process data of the target furnace hole and the reference process data is greater than a preset threshold value, and performing optimization adjustment on the abnormal process data according to the reference process data.
In a second aspect, embodiments of the present application further provide an optimization apparatus for coking production, the optimization apparatus including:
the first acquisition module is used for acquiring the furnace hole number of a target furnace hole to be optimized;
the second acquisition module is used for acquiring a plurality of production batches corresponding to the furnace hole numbers and historical process data of each production batch from a pre-stored coking production data table based on the furnace hole numbers; the coking production data table comprises a plurality of historical process data which are stored according to corresponding production batches in a classified manner;
and the optimization module is used for determining the abnormal process production parameters of the target furnace hole according to the historical process data of each production batch and carrying out optimization adjustment on the abnormal process production parameters.
In a third aspect, an embodiment of the present application further provides an electronic device, including: a processor, a memory and a bus, the memory storing machine readable instructions executable by the processor, the processor and the memory communicating over the bus when the electronic device is running, the machine readable instructions when executed by the processor performing the steps of the method of optimizing coking production as described above.
In a fourth aspect, the present embodiments also provide a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to execute the steps of the optimization method for coking production as described above.
The embodiment of the application provides an optimization method, an optimization device, electronic equipment and a storage medium for coking production, wherein the optimization method comprises the following steps: acquiring the furnace hole number of a target furnace hole to be optimized; based on the furnace hole numbers, obtaining a plurality of production batches corresponding to the furnace hole numbers and historical process data of each production batch from a pre-stored coking production data table; the coking production data table comprises a plurality of historical process data which are stored according to corresponding production batches in a classified manner; and determining abnormal process data of the target furnace hole according to the historical process data of each production batch, and optimizing and adjusting the abnormal process data.
Therefore, the technical scheme provided by the application can be used for storing the coking production data according to the production batch in a structuralization mode, obtaining the production batch corresponding to the furnace hole in the historical production data by using the structuralization storage mode, directly determining the corresponding production data according to the production batch, optimizing the current coking production process, improving the utilization rate of the coking production data and realizing the optimal control of the current coking production process.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
FIG. 1 illustrates a flow chart of a method for optimizing coking production provided by an embodiment of the present application;
FIG. 2 illustrates a flow chart of another method of optimizing coking production provided by an embodiment of the present application;
FIG. 3 shows one of the schematic structural diagrams of an optimizing device for coking production provided by the embodiment of the application;
FIG. 4 is a second schematic diagram of the structure of an optimizing device for coking production provided by the embodiment of the present application;
fig. 5 shows a schematic structural diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
To make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it should be understood that the drawings in the present application are for illustrative and descriptive purposes only and are not used to limit the scope of protection of the present application. Additionally, it should be understood that the schematic drawings are not necessarily drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of the present application. It should be understood that the operations of the flow diagrams may be performed out of order, and that steps without logical context may be performed in reverse order or concurrently. One skilled in the art, under the guidance of this application, may add one or more other operations to, or remove one or more operations from, the flowchart.
In addition, the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
To enable those skilled in the art to use the present disclosure in conjunction with a specific application scenario "optimizing a current coking production process using stored historical data," the following embodiments are presented to enable those skilled in the art to apply the general principles defined herein to other embodiments and application scenarios without departing from the spirit and scope of the present application.
The method, the apparatus, the electronic device, or the computer-readable storage medium described in the embodiments of the present application may be applied to any scenario in which the current coking production needs to be optimized, and the embodiments of the present application do not limit a specific application scenario, and any scheme that uses the method, the apparatus, the electronic device, and the storage medium for optimizing the coking production provided in the embodiments of the present application is within the protection scope of the present application.
It is worth noting that the coke oven production is a standard process of periodically charging, dry distillation, coke discharging and the like for the coking blending coal, and is a main mode of coke production, one process cycle of the dry distillation of the coking blending coal comprises two stages of a coking stage and an annealing stage, and the coking cycle is generally 18 to 30 hours in the normal production process; the continuous safe and stable production is realized by carrying out fixed series sequencing management on the coal charging and coke pushing time of each furnace hole, and the coking production has typical batch production characteristics.
At present, the storage of the coking production data is sequential storage, that is, all coking production data are stored according to time, each production data is only distinguished through the production time, and the source of each production data cannot be distinguished, when historical production data are analyzed, if a large amount of time is needed for searching target data in the same time period, the historical production data are difficult to be called efficiently, and effective mining of historical operation information is difficult to realize; therefore, how to improve the utilization rate of coking production data and realize the optimal control of coking production becomes a problem to be solved urgently.
Based on this, this application has proposed the optimization method, apparatus, electronic equipment and storage medium of a kind of coking production, the said optimization method includes: acquiring the furnace hole number of a target furnace hole to be optimized; based on the furnace hole numbers, obtaining a plurality of production batches corresponding to the furnace hole numbers and historical process data of each production batch from a pre-stored coking production data table; the coking production data table comprises a plurality of historical process data which are stored according to corresponding production batches in a classified manner; and determining abnormal process data of the target furnace hole according to the historical process data of each production batch, and optimizing and adjusting the abnormal process data.
Therefore, the technical scheme provided by the application can be used for storing the coking production data according to the production batch in a structuralization mode, obtaining the production batch corresponding to the furnace hole in the historical production data by using the structuralization storage mode, directly determining the corresponding production data according to the production batch, optimizing the current coking production process, improving the utilization rate of the coking production data and realizing the optimal control of the current coking production process.
For the purpose of facilitating an understanding of the present application, the technical solutions provided in the present application will be described in detail below with reference to specific embodiments.
Referring to fig. 1, fig. 1 is a flowchart of an optimization method for coking production according to an embodiment of the present application, as shown in fig. 1, the optimization method includes:
s101, acquiring a furnace hole number of a target furnace hole to be optimized;
in the step, a plurality of coke ovens are arranged in the coking production process, each coke oven is provided with a plurality of oven holes, each coke oven is distinguished according to the coke oven number, the coke oven number is unique, and the oven hole number of each coke oven can be uniquely numbered according to the coke pushing sequence mode of the coking process; for example, the furnace holes are numbered by 9-2, 5-2, 2-1, etc. Acquiring the furnace hole number of a target furnace hole to be optimized according to the production requirement or the production result; illustratively, in the target oven hole, the produced coke is less mature, and the oven hole number is acquired as the oven hole number of the target oven hole to be optimized.
S102, acquiring a plurality of production batches corresponding to the furnace hole numbers and historical process data of each production batch from a pre-stored coking production data table based on the furnace hole numbers;
in the step, a coking production data table comprises a plurality of historical process data which are stored according to corresponding production batches in a classified manner;
it should be noted that before step S102, a coking production data table needs to be established, please refer to fig. 2, fig. 2 is a flow chart of another method for optimizing coking production provided in the embodiment of the present application, and as shown in fig. 2, the coking production data table is constructed by the following steps:
s201, determining a plurality of data acquisition types according to the setting requirements of a production target coke oven;
in the step, the data acquisition types comprise coke oven numbers, oven hole numbers under each coke oven number, production batch switching marks and data marks under each oven hole number, and each data mark is provided with an acquisition mark corresponding to the data mark.
Here, since the production start time and the production end time of each batch of each furnace hole are independent from each other, a production batch switching flag needs to be set for each furnace hole, and the production batch switching flag represents a flag for judging switching between the current batch and the next batch, that is, the current batch is ended and the next batch is started; indicating the end of last coke discharging to the end of the coke discharging in one production batch; for example, the end of the current production batch may be determined by covering the oven door (variable read) or by the ram retracting less than a certain value (intermediate variable read).
Here, the data identifier is a name identifier of data to be collected for each furnace hole, such as temperature, pressure, flow production records, and information of process data such as operation condition recording time, material weight, planning time, actual operation time, deviation and the like in the coal charging and coke pushing process; the sequence of the acquired data is not fixed and can be randomly set, and the data is basically consistent with the data acquisition points of other furnace holes of the template after the data is set, and the data can be freely added, deleted and modified; the collected data are stored through a relational database, and each data is independently set.
Each acquired data mark corresponds to one acquisition mark, and each furnace hole can be timely and independently acquired according to the process requirement by respectively setting the respective data acquisition marks; for example, the process data corresponding to the respective data identifier may be independently collected by reading the bit number or reading the intermediate variable.
The method comprises the steps of storing a structured data table consisting of coke oven numbers, oven hole numbers, production batch switching marks, data marks required to be acquired by each oven hole and acquisition marks corresponding to each data mark in a real-time database, reading all data in the structured data table from the real-time database, storing the data in a memory, recording and storing process data required to be acquired in the memory through periodic operation, and finally storing the process data acquired by all coke ovens in a relational database from the memory.
S202, acquiring a plurality of process data according to production batches numbered by furnace holes in the production process of each coke oven based on a plurality of data acquisition types, and storing all the process data acquired in each production batch as target data in a memory;
in the step, in the production process of each coke oven, a plurality of process data are collected according to production batches under the current production furnace hole number, and all the process data collected in each production batch are stored in a memory as target data.
It should be noted that, in the production process of each coke oven based on a plurality of data acquisition types, a plurality of process data acquisition is performed according to the production batches numbered by the oven holes, and all the process data acquired by each production batch are stored in the memory as target data, including:
s2021, acquiring the number of the current coke oven according to the size sequence of the coke oven number of each coke oven in the production process of each coke oven based on a plurality of data acquisition types;
in the step, in the production process of each coke oven, based on a plurality of data acquisition types, in the coke oven numbers in the data acquisition types, the current coke oven number is acquired according to the size sequence of the coke oven number of each coke oven, the configured coke oven numbers are traversed, after the current coke oven number finishes the acquisition of all process data, the next coke oven number is acquired, the next coke oven number is updated to the current coke oven number until all the configured coke oven numbers finish the acquisition of corresponding process data, and all the process data acquired by all the coke oven numbers in the memory are stored in the relational database from the memory.
S2022, determining the number of the current fire hole in the plurality of fire holes included in the current coke oven number according to the size sequence of the fire hole numbers;
in this step, the current coke oven serial number is determined according to the size sequence of the oven hole serial numbers under the current coke oven serial number obtained in step S2021, wherein each coke oven serial number has a plurality of oven hole serial numbers, all oven hole serial numbers configured under each coke oven serial number are traversed, after the current oven hole serial number completes the acquisition of all batches of process data, the acquisition of the next oven hole serial number is performed, the next oven hole serial number is updated to the current oven hole serial number, and until all oven hole serial numbers complete the acquisition of all process data of each production batch, the acquisition of the next coke oven hole serial number is performed.
S2023, when the production batch switching mark of the current furnace hole number is in an open state, acquiring a plurality of process data of the current production batch;
for example, the production batch switching flag may be obtained by collecting switching value information, for example, detecting whether the oven door is opened or covered by a relay, and if the oven door is opened, indicating that the oven hole coke discharging is not finished, the production batch switching flag is in an open state; if the furnace door is covered, the coke discharging is finished, and the production batch switching mark is switched to a closed state; for example, the production lot switching flag may also be obtained through an intermediate variable, for example, if the distance of the coke pushing rod retreating is less than a preset coal pushing end distance, it indicates that coke pushing is ended, and the production lot switching flag is switched to an off state.
It should be noted that, when the production lot switching flag of the current furnace hole number is in the on state, the step before the collection of the plurality of process data of the current production lot includes:
a) determining the current production batch according to the production batch switching mark of the current furnace hole number;
in this step, whether the production lot switching flag of the furnace hole number is in an on state or an off state is detected under the current furnace hole number, thereby determining the current production lot.
b) If the production batch switching mark is in a closed state, establishing a new production batch, and updating the new production batch to the current production batch;
in this step, the production lot switching means that one lot ends and the next lot starts; when the production batch switching mark is in a closed state, the coke discharging is finished, and when the current production batch is finished, a new production batch is created, the new production batch is updated to the current production batch, and the production batch switching mark is switched from the closed state to an open state; illustratively, the switching of the production lot switching flag from 0 to 1 indicates that the current production lot is finished and a new production lot is needed, and the collection of process data is performed in the new production lot after the production lot switching flag is changed from 1 to 0.
c) And if the production batch switching mark is in an open state, acquiring the current production batch.
In this step, if the production lot switching flag is in the on state, which indicates that coke discharging is not completed, the current production lot is obtained, and process data is collected in the current production lot.
Here, the step S2023, when the production lot switching flag of the current furnace hole number is in the on state, performs the step of collecting the plurality of process data of the current production lot, and includes:
1) when the production batch switching mark of the current furnace hole number is in an open state, acquiring acquisition marks corresponding to all data marks according to all data marks of the current production batch;
in this step, when the current production batch switching flag is in the on state, all the data identifiers and the acquisition flag corresponding to each data identifier in the production batch are acquired according to the current production batch.
2) And acquiring a plurality of process data of the current production batch according to the acquisition mark.
It should be noted that the step of collecting a plurality of process data of the current production lot according to the collection flag includes:
determining whether the acquisition mark corresponding to each data mark is in an open state or not according to the acquisition mark;
in the step, the collection mark comprises an opening state and a closing state, wherein the opening state represents that the collection of the process data of the data mark is carried out, and the closing state represents that the collection of the process data of the data mark is stopped; therefore, whether the acquisition mark corresponding to each data identifier is in an on state is determined according to the acquisition mark so as to determine whether to acquire the process data of the data identifier.
If yes, acquiring the process data of the current production batch of the data identification corresponding to the acquisition mark in the opening state;
in the step, if the acquisition mark corresponding to the data identifier is in an open state, all the data identifiers corresponding to the acquisition marks in the open state are subjected to process data acquisition of the current production batch; illustratively, when the rising edge of the collection mark (from 0 to 1) represents an on state, namely, the collection of the process data corresponding to the data identifier is started, when 1 is changed to 0, namely, the collection of the process data corresponding to the data identifier is stopped, a time dead zone can be set between two collections, the time dead zone is defined as that after the rising edge of the collection mark acting as an input signal is effective, the timing exceeds the time interval, the rising edge of the next collection mark is effective, and the rising edge in the time interval is ineffective. Illustratively, the process data includes meter measurement data, process operation data, and the like, and the meter measurement data can be acquired by a sensor; process operation data such as time may be established or recorded in accordance with the process operation, material weight may be visually analyzed, and deviations may be calculated from the program data.
And thirdly, if not, stopping the process data acquisition of the current production batch for the data identification corresponding to the closed state of the acquisition mark.
In this step, if the collection flag corresponding to the data identifier is not in the on state, that is, in the off state, the process data collection of the current production lot is stopped for all the data identifiers corresponding to the collection flags in the off state.
S2024, detecting whether the current production batch is finished;
in the step, after all process data of the current production batch are collected, whether the current production batch is finished or not is detected through a production batch cut flower mark; illustratively, when the production lot switching flag is switched from 0 to 1, the end of the current production lot, i.e., the end of the decoking process, is indicated.
S2025, if the process is finished, switching the production batch switching mark from the on state to the off state, storing all the process data acquired by the current production batch in a memory as target data until the production batch switching mark of the current furnace hole number is switched to the on state, and acquiring a plurality of process data of a next production batch of the current furnace hole number;
in this step, if the current production batch is finished, that is, when the production batch switching flag is switched from the on state to the off state, it indicates that coke discharging is finished, and stores the current furnace hole number, the current production batch, and all the process data acquired by the current furnace hole number in the batch as target data in the memory, until the production batch switching flag of the current furnace hole number is switched to the on state, a plurality of process data of a next production batch of the current furnace hole number are acquired.
S2026, if not, continuing to collect the plurality of process data of the current production batch of the current furnace hole number.
In this step, if the current production batch is not finished, the collection of the plurality of process data of the current production batch of the current furnace hole number is continued until the production batch switching flag of the current furnace hole number is switched from the on state to the off state.
And S203, storing the target data of all production batches of all the furnace hole numbers corresponding to all the coke furnaces in the memory according to a plurality of data acquisition types to obtain a coking production data table.
In the step, target data of all production batches corresponding to all the furnace hole numbers under all the coke furnace numbers temporarily stored in the memory are stored in a relational database as a coking production data table after being stored according to a plurality of data acquisition types.
S103, determining abnormal process data of the target furnace hole according to the historical process data of each production batch, and carrying out optimization adjustment on the abnormal process data.
In this step, the step of determining abnormal process data of the target furnace hole according to the historical process data of each production batch, and performing optimization adjustment on the abnormal process data includes:
s1031, determining a reference batch from a plurality of production batches according to historical process data of each production batch;
in the step, according to historical data stored in a coking production data table in a relational database and according to the furnace opening number of a target furnace opening of the current coke oven, acquiring historical process data of all production batches under the furnace opening number in the coking production data table, and determining a reference batch from the production batches; illustratively, a reference batch is determined from a plurality of production batches according to the maturity of the coke in the production results, and the reference batch can be the production batch with the best maturity of the coke in the production batches or the production batch with the worst maturity of the coke.
S1032, according to the reference process data in the reference batch, determining abnormal process data of which the difference value between the current process data of the target furnace hole and the reference process data is larger than a preset threshold value, and performing optimization adjustment on the abnormal process data according to the reference process data.
Determining abnormal process data of which the difference value between the current process data of the target furnace hole and the reference process data is greater than a preset threshold according to the reference process data in the reference batch, and performing optimization adjustment on the abnormal process data according to the reference process data; for example, when the reference batch is a production batch with the best maturity of coke, and the difference between the current process data of the target furnace hole, such as the temperature value, and the temperature value in the reference process data is greater than the preset threshold, the temperature value of the current process data of the target furnace hole is used as abnormal process data, and the temperature value needs to be adjusted to tend to the temperature value in the reference process data, so that the abnormal process data is optimally adjusted to improve the quality of coking production.
For example, when the reference batch is a production batch with poor maturity of coke, the coke pushing time may be delayed a little later during the production process of the current production batch of the target furnace hole, i.e. the coke pushing time of the production batch with good maturity of coke is biased by comparing the process data of the production batch with good maturity of coke, which is determined to be because the coke pushing time of the reference batch is earlier, thereby resulting in poor maturity of coke.
Illustratively, through the established coking production data table, the corresponding coke oven number, the oven hole number and the production batch can be selected in the monitoring page for displaying the relevant information.
For example, a corresponding preset threshold may be set for a plurality of process data collected by each furnace hole, and when a plurality of process data in the furnace holes reach the preset threshold at the same time, it represents that the furnace hole is abnormal, and an abnormal furnace hole corresponding to the furnace hole number needs to be detected, and a maintenance worker is guided to analyze and judge the abnormal furnace hole according to the abnormal process data.
The embodiment of the application provides an optimization method, an optimization device, electronic equipment and a storage medium for coking production, wherein the optimization method comprises the following steps: acquiring the furnace hole number of a target furnace hole to be optimized; based on the furnace hole numbers, obtaining a plurality of production batches corresponding to the furnace hole numbers and historical process data of each production batch from a pre-stored coking production data table; the coking production data table comprises a plurality of historical process data which are stored according to corresponding production batches in a classified manner; and determining abnormal process data of the target furnace hole according to the historical process data of each production batch, and optimizing and adjusting the abnormal process data.
Therefore, the technical scheme provided by the application can be used for storing the coking production data according to the production batch in a structuralization mode, obtaining the production batch corresponding to the furnace hole in the historical production data by using the structuralization storage mode, directly determining the corresponding production data according to the production batch, optimizing the current coking production process, improving the utilization rate of the coking production data and realizing the optimal control of the current coking production process.
Based on the same application concept, the embodiment of the present application further provides an optimization device for coking production corresponding to the optimization method for coking production provided by the above embodiment, and as the principle of solving the problem of the device in the embodiment of the present application is similar to the optimization method for coking production provided by the above embodiment of the present application, the implementation of the device can refer to the implementation of the method, and repeated details are omitted.
Referring to fig. 3 and 4, fig. 3 is a first structural diagram of an optimizing device for coking production according to an embodiment of the present application, and fig. 4 is a second structural diagram of an optimizing device for coking production according to an embodiment of the present application. As shown in fig. 3, the optimizing device 310 includes:
a first obtaining module 311, configured to obtain a furnace hole number of a target furnace hole to be optimized;
a second obtaining module 312, configured to obtain, based on the furnace hole number, a plurality of production batches corresponding to the furnace hole number and historical process data in each production batch from a pre-stored coking production data table; the coking production data table comprises a plurality of historical process data which are stored according to corresponding production batches in a classified manner;
and the optimization module 313 is used for determining the abnormal process production parameters of the target furnace hole according to the historical process data of each production batch, and performing optimization adjustment on the abnormal process production parameters.
Optionally, as shown in fig. 4, the optimizing device 310 further includes a building module 314, where the building module 314 is configured to:
determining a plurality of data acquisition types according to the setting requirements of a production target coke oven; the data acquisition types comprise coke oven numbers, oven hole numbers under each coke oven number, production batch switching marks and data marks under each oven hole number, and each data mark is provided with an acquisition mark corresponding to the data mark;
acquiring a plurality of process data according to the production batches numbered by the furnace holes in the production process of each coke oven based on a plurality of data acquisition types, and storing all the process data acquired in each production batch as target data in a memory;
and storing the target data of all production batches of all the furnace hole numbers corresponding to all the coke ovens in the memory according to a plurality of data acquisition types to obtain a coking production data table.
Optionally, when the building module 314 is configured to collect a plurality of process data according to the production batches of the oven hole numbers in the production process of each coke oven based on a plurality of data collection types, and store all the process data collected in each production batch as target data in the memory, the building module 314 is specifically configured to:
acquiring the number of the current coke oven according to the size sequence of the coke oven number of each coke oven in the production process of each coke oven based on a plurality of data acquisition types;
determining the current furnace hole number in the furnace holes included in the current coke furnace number according to the size sequence of the furnace hole numbers;
when the production batch switching mark of the current furnace hole number is in an open state, acquiring a plurality of process data of the current production batch;
detecting whether the current production batch is finished or not;
if the process is finished, the production batch switching mark is switched from the on state to the off state, all the process data acquired by the current production batch are stored in the memory as target data until the production batch switching mark of the current furnace hole number is switched to the on state, and a plurality of process data of the next production batch of the current furnace hole number are acquired;
and if not, continuing to acquire a plurality of process data of the current production batch of the current furnace hole number.
Optionally, as shown in fig. 4, before the building module 314 is configured to collect a plurality of process data of the current production lot when the production lot switching flag of the current furnace opening number is in an on state, the building module 314 is configured to:
determining the current production batch according to the production batch switching mark of the current furnace hole number;
if the production batch switching mark is in a closed state, establishing a new production batch, and updating the new production batch to the current production batch;
and if the production batch switching mark is in an open state, acquiring the current production batch.
Optionally, as shown in fig. 4, when the building module 314 is configured to collect a plurality of process data of a current production lot when the production lot switching flag of the current furnace opening number is in an on state, the building module 314 is specifically configured to:
when the production batch switching mark of the current furnace hole number is in an open state, acquiring acquisition marks corresponding to all data marks according to all data marks of the current production batch;
and acquiring a plurality of process data of the current production batch according to the acquisition mark.
Optionally, as shown in fig. 4, when the building module 314 is used for collecting a plurality of process data of the current production lot according to the collection flag, the building module 314 is specifically configured to:
determining whether the acquisition mark corresponding to each data identifier is in an open state or not according to the acquisition mark;
if so, acquiring the process data of the current production batch of the data identifier corresponding to the on state of the acquisition mark;
if not, stopping the process data acquisition of the current production batch for the data identifier corresponding to the closed state of the acquisition mark.
Optionally, as shown in fig. 3, when the optimization module 313 is configured to determine abnormal process data of the target furnace hole according to historical process data of each production batch, and perform optimization adjustment on the abnormal process data, the optimization module 313 is specifically configured to:
determining a reference batch from a plurality of production batches according to historical process data of each production batch;
and according to the reference process data in the reference batch, determining abnormal process data of which the difference value between the current process data of the target furnace hole and the reference process data is greater than a preset threshold value, and performing optimization adjustment on the abnormal process data according to the reference process data.
The optimizing apparatus of coking production that this application embodiment provided, optimizing apparatus includes:
the first acquisition module is used for acquiring the furnace hole number of a target furnace hole to be optimized;
the second acquisition module is used for acquiring a plurality of production batches corresponding to the furnace hole numbers and historical process data of each production batch from a pre-stored coking production data table based on the furnace hole numbers; the coking production data table comprises a plurality of historical process data which are stored according to corresponding production batches in a classified manner;
and the optimization module is used for determining the abnormal process production parameters of the target furnace hole according to the historical process data of each production batch and carrying out optimization adjustment on the abnormal process production parameters.
Therefore, the technical scheme provided by the application can be used for storing the coking production data according to the production batch in a structuralization mode, obtaining the production batch corresponding to the furnace hole in the historical production data by using the structuralization storage mode, directly determining the corresponding production data according to the production batch, optimizing the current coking production process, improving the utilization rate of the coking production data and realizing the optimal control of the current coking production process.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. As shown in fig. 5, the electronic device 500 includes a processor 510, a memory 520, and a bus 530.
The memory 520 stores machine-readable instructions executable by the processor 510, when the electronic device 500 runs, the processor 510 communicates with the memory 520 through the bus 530, and when the machine-readable instructions are executed by the processor 510, the steps of the method for optimizing coking production in the method embodiments shown in fig. 1 and fig. 2 may be performed.
An embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method for optimizing coking production in the method embodiments shown in fig. 1 and fig. 2 may be executed.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the exemplary embodiments of the present application, and are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method of optimizing coking production, the method comprising:
acquiring the furnace hole number of a target furnace hole to be optimized;
based on the furnace hole numbers, obtaining a plurality of production batches corresponding to the furnace hole numbers and historical process data of each production batch from a pre-stored coking production data table; the coking production data table comprises a plurality of historical process data which are stored according to corresponding production batches in a classified manner;
and determining abnormal process data of the target furnace hole according to the historical process data of each production batch, and optimizing and adjusting the abnormal process data.
2. The optimization method of claim 1, wherein the coking production data table is constructed by:
determining a plurality of data acquisition types according to the setting requirements of a production target coke oven; the data acquisition types comprise coke oven numbers, oven hole numbers under each coke oven number, production batch switching marks and data marks under each oven hole number, and each data mark is provided with an acquisition mark corresponding to the data mark;
acquiring a plurality of process data according to the production batches numbered by the furnace holes in the production process of each coke oven based on a plurality of data acquisition types, and storing all the process data acquired in each production batch as target data in a memory;
and storing the target data of all production batches of all the furnace hole numbers corresponding to all the coke ovens in the memory according to a plurality of data acquisition types to obtain a coking production data table.
3. The optimization method according to claim 2, wherein the step of collecting a plurality of process data for each production lot numbered by a furnace hole during the production of each coke oven based on a plurality of data collection types and storing all the process data collected for each production lot in the memory as target data comprises:
acquiring the number of the current coke oven according to the size sequence of the coke oven number of each coke oven in the production process of each coke oven based on a plurality of data acquisition types;
determining the current furnace hole number in the furnace holes included in the current coke furnace number according to the size sequence of the furnace hole numbers;
when the production batch switching mark of the current furnace hole number is in an open state, acquiring a plurality of process data of the current production batch;
detecting whether the current production batch is finished or not;
if the process is finished, the production batch switching mark is switched from the on state to the off state, all the process data acquired by the current production batch are stored in the memory as target data until the production batch switching mark of the current furnace hole number is switched to the on state, and a plurality of process data of the next production batch of the current furnace hole number are acquired;
and if not, continuing to acquire a plurality of process data of the current production batch of the current furnace hole number.
4. The optimization method according to claim 3, wherein the step before the collecting of the plurality of process data of the current production lot is performed when the production lot switching flag of the current furnace hole number is in an on state includes:
determining the current production batch according to the production batch switching mark of the current furnace hole number;
if the production batch switching mark is in a closed state, establishing a new production batch, and updating the new production batch to the current production batch;
and if the production batch switching mark is in an open state, acquiring the current production batch.
5. The optimization method according to claim 3, wherein the step of collecting the plurality of process data of the current production lot when the production lot switching flag of the current furnace hole number is in an on state comprises:
when the production batch switching mark of the current furnace hole number is in an open state, acquiring acquisition marks corresponding to all data marks according to all data marks of the current production batch;
and acquiring a plurality of process data of the current production batch according to the acquisition mark.
6. The optimization method according to claim 5, wherein the step of collecting the plurality of process data of the current production lot according to the collection flag comprises:
determining whether the acquisition mark corresponding to each data identifier is in an open state or not according to the acquisition mark;
if so, acquiring the process data of the current production batch of the data identifier corresponding to the on state of the acquisition mark;
if not, stopping the process data acquisition of the current production batch for the data identifier corresponding to the closed state of the acquisition mark.
7. The optimization method according to claim 1, wherein the step of determining abnormal process data of the target furnace hole according to the historical process data of each production batch and performing optimization adjustment on the abnormal process data comprises the following steps:
determining a reference batch from a plurality of production batches according to historical process data of each production batch;
and according to the reference process data in the reference batch, determining abnormal process data of which the difference value between the current process data of the target furnace hole and the reference process data is greater than a preset threshold value, and performing optimization adjustment on the abnormal process data according to the reference process data.
8. An optimization device for coking production, the optimization device comprising:
the first acquisition module is used for acquiring the furnace hole number of a target furnace hole to be optimized;
the second acquisition module is used for acquiring a plurality of production batches corresponding to the furnace hole numbers and historical process data of each production batch from a pre-stored coking production data table based on the furnace hole numbers; the coking production data table comprises a plurality of historical process data which are stored according to corresponding production batches in a classified manner;
and the optimization module is used for determining the abnormal process production parameters of the target furnace hole according to the historical process data of each production batch and carrying out optimization adjustment on the abnormal process production parameters.
9. An electronic device, comprising: a processor, a memory and a bus, the memory storing machine readable instructions executable by the processor, the processor and the memory communicating over the bus when the electronic device is running, the machine readable instructions when executed by the processor performing the steps of the method of optimizing coking production according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that it has stored thereon a computer program which, when being executed by a processor, carries out the steps of the method for optimizing coking production according to any one of claims 1 to 7.
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