CN116703336B - Steel production process data management method and device based on material portrait - Google Patents
Steel production process data management method and device based on material portrait Download PDFInfo
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/448—Execution paradigms, e.g. implementations of programming paradigms
- G06F9/4482—Procedural
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
-
- 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
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention discloses a steel production process data management method and device based on material portraits, and relates to the technical field of computers of steel enterprises. Comprising the following steps: establishing a production process data configuration table; acquiring the change of the material position and the change of the material state according to a preset period, and generating material tracking event information; reading tag data of a specified time period in a production process data configuration table according to the material tracking event information, and converting, identifying and storing the tag data; and combining the converted tag data according to the application requirements to form an application theme, and providing data service to the outside through a unified service interface. According to the invention, the material tracking is taken as a main line, and the data gathering, managing and service model taking the material digital portrait as a core is established based on the production management element dimension, the production procedure dimension and the production planning sequence dimension, so that the sharing and the application of the production process data are facilitated.
Description
Technical Field
The invention relates to the technical field of computers of iron and steel enterprises, in particular to a method and a device for managing data of an iron and steel production process based on material portraits.
Background
The steel production process generates a large amount of various production data at every moment, and contains abundant valuable information. Therefore, along with the continuous promotion of intelligent factory construction, more and more steel factories establish a special data acquisition platform based on an industrial internet technology, so that acquisition and mining analysis of production data are realized, the production efficiency, the product quality, equipment management and the cost are optimized, the cost reduction and synergy are realized, and the digital transformation is promoted. However, due to the fact that the steel production process involves a plurality of devices and complex processes, the data generated in the production and business processing processes are various in variety, complex in structure and high in instantaneity, various time sequence data and structured data exist, a set of targeted treatment method for multi-source heterogeneous data in the steel production process is necessary to be established, and development of upper application services of intelligent factories is better supported.
The steel production process is developed around materials, so that various related production data can be related through material information, carding is carried out according to production procedures and management elements (equipment, process, operation, detection and energy medium) thereof, so as to form a digital image of the materials, thereby establishing an efficient data management method and model, realizing omnibearing data integration, modeling and theme service, forming enterprise data assets and providing support for data sharing and upper-layer application development.
Disclosure of Invention
The invention provides the method for managing the multi-source heterogeneous data in the steel production process aiming at the problem of how to establish a set of targeted method for managing the multi-source heterogeneous data in the steel production process.
In order to solve the technical problems, the invention provides the following technical scheme:
in one aspect, the invention provides a method for managing data of a steel production process based on material portraits, the method being implemented by electronic equipment, the method comprising:
s1, establishing a production process data configuration table.
S2, acquiring the change of the material position and the change of the material state according to a preset period, and generating material tracking event information.
And S3, reading the label data of a specified time period in the production process data configuration table according to the material tracking event information, and converting, identifying and storing the label data.
S4, combining the converted tag data according to application requirements to form an application theme, and providing data service to the outside through a unified service interface.
Optionally, the production process data configuration table in S1 includes: tag data, basic attributes of the tag, and data access information of the tag.
Wherein the tag data includes: production data of the whole period of the steel production process.
Basic attributes of the tag include: a label name, a label ID, a unit conversion factor, a data source variable name, a time resolution, an annotation, and a production management element identification.
The data access information includes: the method comprises the steps of reading an API interface of tag data from a data acquisition platform, calling parameters of the API interface and a material tracking event ID for determining a reading time sequence.
Optionally, the production management element identification includes: equipment, processes, operations, detection, and energy intermediation.
Optionally, the call parameters of the API interface include: a list of data sources, a material ID, a start time, an end time, and a time resolution.
Optionally, in S2, the acquiring, according to a preset period, the change of the material position and the change of the material state, and generating the material tracking event information includes:
s21, acquiring material tracking signals and production plan information of each production procedure from a data acquisition platform according to a preset period.
S22, calculating and updating the material position and the material state according to the material tracking signal and the production plan information.
S23, generating material tracking event information according to the material positions and the material states before and after updating.
Wherein, the material tracking event information includes: event ID, process identification, material ID, production serial number, material arrival time, departure time and passing speed of the current tracking position.
Optionally, in S2, the step of acquiring the change of the material position and the change of the material state according to a preset period, and generating the material tracking event information further includes:
and releasing the packaged material tracking event information through a message bus component.
Optionally, reading tag data of a specified time period in the production process data configuration table according to the material tracking event information in S3 includes:
s311, reading tags from the production process data configuration table according to event IDs in the material tracking event information, and combining the tags with the API interfaces and the calling parameters with the same configuration to obtain a plurality of tag sets.
S312, reading all tag data in the tag sets from the data acquisition platform at one time according to the API interface and the calling parameters for each tag set in the tag sets.
Optionally, converting, identifying and storing the tag data in S3 includes:
s321, converting tag data according to the unit conversion coefficient of the tag.
S322, integrating according to the passing speed of the materials in the material tracking event information and the time resolution of the calling parameters, calculating the sampling position on the material corresponding to each sampling time, generating the conversion relation between the sampling time and the sampling position of the tag data, and converting the tag data.
S323, establishing a multi-dimensional attribute identifier of the tag data according to the material ID, the production serial number, the process identifier and the production management element identifier in the material tracking event information.
S324, storing tag data by taking the material ID, the production serial number, the process identifier and the production management element identifier as key values.
Optionally, in S4, the converted tag data is combined according to the application requirement to form an application theme, and the data service is provided to the outside through a unified service interface, including:
and selecting required labels according to application requirements, recombining the labels into a label set, creating an application theme, and distributing unique application theme IDs for the application theme.
And taking the material ID and the application subject ID as parameters, and providing data service to the outside through a unified service interface.
In another aspect, the present invention provides a steel production process data management apparatus based on a material portrait, which is applied to implement a steel production process data management method based on a material portrait, the apparatus comprising:
and the configuration table establishing module is used for establishing a production process data configuration table.
The event information generation module is used for acquiring the change of the material position and the change of the material state according to a preset period and generating material tracking event information.
And the tag data conversion module is used for reading tag data of a specified time period in the production process data configuration table according to the material tracking event information, and converting, identifying and storing the tag data.
And the output module is used for combining the converted tag data according to the application requirements to form an application theme and providing data service to the outside through the unified service interface.
Optionally, the production process data configuration table comprises: tag data, basic attributes of the tag, and data access information of the tag.
Wherein the tag data includes: production data of the whole period of the steel production process.
Basic attributes of the tag include: a label name, a label ID, a unit conversion factor, a data source variable name, a time resolution, an annotation, and a production management element identification.
The data access information includes: the method comprises the steps of reading an API interface of tag data from a data acquisition platform, calling parameters of the API interface and a material tracking event ID for determining a reading time sequence.
Optionally, the production management element identification includes: equipment, processes, operations, detection, and energy intermediation.
Optionally, the call parameters of the API interface include: a list of data sources, a material ID, a start time, an end time, and a time resolution.
Optionally, the event information generating module is further configured to:
s21, acquiring material tracking signals and production plan information of each production procedure from a data acquisition platform according to a preset period.
S22, calculating and updating the material position and the material state according to the material tracking signal and the production plan information.
S23, generating material tracking event information according to the material positions and the material states before and after updating.
Wherein, the material tracking event information includes: event ID, process identification, material ID, production serial number, material arrival time, departure time and passing speed of the current tracking position.
Optionally, the event information generating module is further configured to:
and releasing the packaged material tracking event information through a message bus component.
Optionally, the tag data conversion module is further configured to:
s311, reading tags from the production process data configuration table according to event IDs in the material tracking event information, and combining the tags with the API interfaces and the calling parameters with the same configuration to obtain a plurality of tag sets.
S312, reading all tag data in the tag sets from the data acquisition platform at one time according to the API interface and the calling parameters for each tag set in the tag sets.
Optionally, the tag data conversion module is further configured to:
s321, converting tag data according to the unit conversion coefficient of the tag.
S322, integrating according to the passing speed of the materials in the material tracking event information and the time resolution of the calling parameters, calculating the sampling position on the material corresponding to each sampling time, generating the conversion relation between the sampling time and the sampling position of the tag data, and converting the tag data.
S323, establishing a multi-dimensional attribute identifier of the tag data according to the material ID, the production serial number, the process identifier and the production management element identifier in the material tracking event information.
S324, storing tag data by taking the material ID, the production serial number, the process identifier and the production management element identifier as key values.
Optionally, the output module is further configured to:
and selecting required labels according to application requirements, recombining the labels into a label set, creating an application theme, and distributing unique application theme IDs for the application theme.
And taking the material ID and the application subject ID as parameters, and providing data service to the outside through a unified service interface.
In one aspect, an electronic device is provided, the electronic device including a processor and a memory, the memory storing at least one instruction, the at least one instruction loaded and executed by the processor to implement the method for managing steel production process data based on material representation.
In one aspect, a computer readable storage medium having stored therein at least one instruction loaded and executed by a processor to implement the above-described method of steel production process data management based on a representation of a material is provided.
Compared with the prior art, the technical scheme has at least the following beneficial effects:
the scheme realizes the data management, aggregation and storage of the material data in the steel production process. The invention realizes the complete scheme of data management, material matching, data storage and data application of materials.
The invention provides a data service model. And the data items are recombined from different application dimensions to form the subject service of the material digital portrait, so that data exchange with an application system is realized, and data sharing and application are promoted.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow diagram of a method for managing data of a steel production process based on material portraits, which is provided by an embodiment of the invention;
FIG. 2 is a schematic flow chart of periodically determining changes in material position and status during steel production of the present invention, generating and distributing material tracking event information;
fig. 3 is a functional diagram of data contents of a designated time period for reading tags according to event information in the steel production process of the present invention;
FIG. 4 is a schematic diagram of a tag storage structure in the steel production process of the present invention;
FIG. 5 is a block diagram of a steel production process data management device based on material portraits provided by an embodiment of the invention;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by a person skilled in the art without creative efforts, based on the described embodiments of the present invention fall within the protection scope of the present invention.
As shown in FIG. 1, the embodiment of the invention provides a steel production process data management method based on material portrait, which can be realized by electronic equipment. The flow chart of the steel production process data management method based on material portrait as shown in fig. 1, the process flow of the method can comprise the following steps:
s1, establishing a production process data configuration table.
Optionally, the production process data configuration table in S1 includes: tag data, basic attributes of the tag, and data access information of the tag.
Wherein the tag data includes: production data of the whole period of the steel production process.
In a possible embodiment, the tag data comprises production data of the whole steel production process, such as raw material data, production data, manual operation data, actual measurement data, setting data, quality data, energy meter data, equipment data in the production process.
Basic attributes of the tag include: a label name, a label ID, a unit conversion coefficient, a data source variable name, a time resolution, an annotation, and a production management element identification.
In a possible embodiment, for the element identifier, the production element identifier is configured as an energy medium element identifier according to the data attribute, and the data type of the tag, such as an energy consumption tag of electricity, industrial clean water, gas, oxygen, natural gas, compressed air, oxygen, steam, nitrogen and the like, so as to identify the tag as an energy medium tag.
Optionally, the production management element identification includes: equipment, processes, operations, detection, and energy intermediation.
The data access information includes: the method comprises the steps of reading an API interface of tag data from a data acquisition platform, calling parameters of the API interface and a material tracking event ID for determining a reading time sequence.
Optionally, the call parameters of the API interface include: a list of data sources, a material ID, a start time, an end time, and a time resolution.
The reading of the time sequence of the coil tracking event ID comprises the following steps: the system comprises an updating event, a starting event and an ending event, wherein the updating event is a triggering event for data acquisition, and the time resolution is acquired through the starting event and the ending event.
For the process identification, the label producing process, such as heating area labels of gas, electricity, water, slab temperature and the like, is marked according to the data producing position, and the label producing process identification is configured as a heating area, so that the label is changed into the heating area label.
S2, acquiring the change of the material position and the change of the material state according to a preset period, and generating material tracking event information.
Optionally, as shown in fig. 2, the step S2 may include the following steps S21 to S23:
s21, acquiring material tracking signals and production plan information of each production procedure from a data acquisition platform according to a preset period.
In a possible implementation mode, in the steel coil production process, when each steel coil passes through a heating furnace, rough rolling, hot coil boxes, flying shears, finish rolling, laminar cooling and coiling production processes, the system periodically acquires action signals of all process equipment from a data acquisition platform.
S22, calculating and updating the material position and the material state according to the material tracking signal and the production plan information.
S23, generating material tracking event information according to the material positions and the material states before and after updating.
Wherein, the material tracking event information includes: event ID, process identification, material ID, production serial number, material arrival time, departure time and passing speed of the current tracking position.
In a possible implementation mode, the system calculates and updates the position and the state of the steel coil according to the acquired operation signals of the process equipment, and generates steel coil tracking information according to the change before and after the update. And packaging the generated material tracking event information event ID, the process identification, the steel coil number, the production serial number and the time when the steel coil of the process reaches, leaves, time resolution and passing speed into a steel coil tracking event.
The process identification can be obtained from tracking matters without prior configuration. The benefit obtained from the tracking information is that if the material is repeatedly processed multiple times during the process, it can be marked with the process identification number.
S24, the packaged material tracking event information is issued through the message bus component.
And S3, reading the label data of a specified time period in the production process data configuration table according to the material tracking event information, and converting, identifying and storing the label data.
Optionally, as shown in fig. 3, reading the tag data of the specified time period in the production process data configuration table according to the material tracking event information in the above step S3 may include S311-S312:
s311, inquiring all corresponding label records from the production process data information configuration table through the material tracking event ID, and merging records with the same configuration API interface and call parameters.
S312, for each combined label record set, reading all label data contents in the label set from the data acquisition platform at one time according to the corresponding API interface and call parameters.
The data source list in the calling parameter is all the variable names of the data sources in the tag record set; the starting time and the ending time in the calling parameters are the material reaching time and the leaving time in the material tracking event; the time resolution in the call parameter is the time resolution in the tag record.
In a possible implementation mode, the system monitors a steel coil tracking event, analyzes the steel coil tracking event into data in a JSON data format, and acquires event ID, process identification, steel coil number, production serial number and steel coil arrival time, departure time, time resolution and passing speed data of the tracking position in the event.
Further, according to the analyzed steel coil tracking event ID, all corresponding tag records are inquired from the data information configuration table, records with the same configuration API interfaces and calling parameters are combined, and for each combined tag record set, the calling parameters in the corresponding API interfaces read tag data contents from the data acquisition platform. The labels are combined into a set, so that data of a plurality of labels can be acquired simultaneously in one API call, and the interface efficiency is improved.
Optionally, the converting, identifying and storing the tag data in the step S3 may include S321-S324:
s321, converting tag data according to the unit conversion coefficient of the tag.
S322, integrating according to the passing speed of the materials in the material tracking event information and the time resolution of the calling parameters, calculating the sampling position on the material corresponding to each sampling time, generating the conversion relation between the sampling time and the sampling position of the tag data, and converting the tag data.
In a possible embodiment, the starting time, the ending time and the time resolution in the parameters are the material arrival time, the departure time and the time resolution in the material tracking event. And intercepting the numerical value of the tag when the steel coil passes through the procedure through the starting time and the ending time in the parameters, integrating the numerical value according to the time resolution according to the passing speed in the steel coil tracking event information by the system, calculating the sampling position on the steel coil corresponding to each sampling time, and generating the conversion relation between the sampling time and the sampling position of the tag data.
S323, establishing a multi-dimensional attribute identifier of the tag data according to the material ID, the production serial number, the process identifier and the production management element identifier in the material tracking event information.
In a feasible implementation mode, the steel coil number, the production serial number, the multi-dimensional management element mark and the label of the process mark are recorded, so that the production of the steel coil is described from multiple dimensions, and a material image of the steel coil is constructed.
S324, as shown in fig. 4, the label data is stored with the material ID, the production serial number, the process identifier, and the production management element identifier as key values.
S4, combining the converted tag data according to application requirements to form an application theme, and providing data service to the outside through a unified service interface.
Optionally, the step S4 may include the following steps S41 to S42:
s41, selecting required labels according to application requirements, recombining the labels into a label set, creating an application theme, and distributing unique application theme IDs for the application theme.
S42, adding the tag name contained in the application theme into the configuration record.
S43, taking the material ID and the application theme ID as parameters, and providing data service to the outside through a unified service interface.
According to the data management method for the hot continuous rolling production process, the system provides basic tag attributes and data access information according to the data configuration table to acquire data, and processes a steel coil tracking event in the steel coil production process, so that the data content of a specified time period of the tag is read, stored in a key value pair mode, tag data of the steel coil are combined to form a data subject, and data service is provided to the outside through a unified service interface.
According to the embodiment of the invention, the data management, aggregation and storage of the material data in the steel production process are realized. The invention realizes the complete scheme of data management, material matching, data storage and data application of materials.
The invention provides a data service model. And the data items are recombined from different application dimensions to form the subject service of the material digital portrait, so that data exchange with an application system is realized, and data sharing and application are promoted.
As shown in fig. 5, an embodiment of the present invention provides a steel production process data management apparatus 500 based on a material portrait, the apparatus 500 being applied to implement a steel production process data management method based on a material portrait, the apparatus 500 comprising:
the configuration table establishment module 510 is configured to establish a production process data configuration table.
The event information generating module 520 is configured to obtain a change in a material position and a change in a material state according to a preset period, and generate material tracking event information.
The tag data conversion module 530 is configured to read tag data of a specified time period in the production process data configuration table according to the material tracking event information, and convert, identify and store the tag data.
And the output module 540 is configured to combine the converted tag data according to the application requirements to form an application theme, and provide data services to the outside through the unified service interface.
Optionally, the production process data configuration table comprises: tag data, basic attributes of the tag, and data access information of the tag.
Wherein the tag data includes: production data of the whole period of the steel production process.
Basic attributes of the tag include: a label name, a label ID, a unit conversion factor, a data source variable name, a time resolution, an annotation, and a production management element identification.
The data access information includes: the method comprises the steps of reading an API interface of tag data from a data acquisition platform, calling parameters of the API interface and a material tracking event ID for determining a reading time sequence.
Optionally, the production management element identification includes: equipment, processes, operations, detection, and energy intermediation.
Optionally, the call parameters of the API interface include: a list of data sources, a material ID, a start time, an end time, and a time resolution.
Optionally, the event information generating module 520 is further configured to:
s21, acquiring material tracking signals and production plan information of each production procedure from a data acquisition platform according to a preset period.
S22, calculating and updating the material position and the material state according to the material tracking signal and the production plan information.
S23, generating material tracking event information according to the material positions and the material states before and after updating.
Wherein, the material tracking event information includes: event ID, process identification, material ID, production serial number, material arrival time, departure time and passing speed of the current tracking position.
Optionally, the event information generating module 520 is further configured to:
and releasing the packaged material tracking event information through a message bus component.
Optionally, the tag data conversion module 530 is further configured to:
s311, reading tags from the production process data configuration table according to event IDs in the material tracking event information, and combining the tags with the API interfaces and the calling parameters with the same configuration to obtain a plurality of tag sets.
S312, reading all tag data in the tag sets from the data acquisition platform at one time according to the API interface and the calling parameters for each tag set in the tag sets.
Optionally, the tag data conversion module 530 is further configured to:
s321, converting tag data according to the unit conversion coefficient of the tag.
S322, integrating according to the passing speed of the materials in the material tracking event information and the time resolution of the calling parameters, calculating the sampling position on the material corresponding to each sampling time, generating the conversion relation between the sampling time and the sampling position of the tag data, and converting the tag data.
S323, establishing a multi-dimensional attribute identifier of the tag data according to the material ID, the production serial number, the process identifier and the production management element identifier in the material tracking event information.
S324, storing tag data by taking the material ID, the production serial number, the process identifier and the production management element identifier as key values.
Optionally, the output module 540 is further configured to:
and selecting required labels according to application requirements, recombining the labels into a label set, creating an application theme, and distributing unique application theme IDs for the application theme.
And taking the material ID and the application subject ID as parameters, and providing data service to the outside through a unified service interface.
According to the embodiment of the invention, the data management, aggregation and storage of the material data in the steel production process are realized. The invention realizes the complete scheme of data management, material matching, data storage and data application of materials.
The invention provides a data service model. And the data items are recombined from different application dimensions to form the subject service of the material digital portrait, so that data exchange with an application system is realized, and data sharing and application are promoted.
Fig. 6 is a schematic structural diagram of an electronic device 600 according to an embodiment of the present invention, where the electronic device 600 may have a relatively large difference due to different configurations or performances, and may include one or more processors (central processing units, CPU) 601 and one or more memories 602, where at least one instruction is stored in the memories 602, and the at least one instruction is loaded and executed by the processors 601 to implement the following method for managing steel production process data based on material representation:
s1, establishing a production process data configuration table.
S2, acquiring the change of the material position and the change of the material state according to a preset period, and generating material tracking event information.
And S3, reading the label data of a specified time period in the production process data configuration table according to the material tracking event information, and converting, identifying and storing the label data.
S4, combining the converted tag data according to application requirements to form an application theme, and providing data service to the outside through a unified service interface.
In an exemplary embodiment, a computer readable storage medium, such as a memory including instructions executable by a processor in a terminal to perform the above-described method of steel production process data management based on material representation is also provided. For example, the computer readable storage medium may be ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program for instructing relevant hardware, where the program may be stored in a computer readable storage medium, and the storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the invention are intended to be included within the scope of the invention.
Claims (9)
1. A method for managing steel production process data based on material portraits, the method comprising:
s1, establishing a production process data configuration table;
s2, acquiring the change of the material position and the change of the material state according to a preset period, and generating material tracking event information;
s3, reading tag data of a specified time period in a production process data configuration table according to the material tracking event information, and converting, identifying and storing the tag data;
s4, combining the converted tag data according to application requirements to form an application theme, and providing data service to the outside through a unified service interface;
the step S3 of converting, identifying and storing the tag data comprises the following steps:
s321, converting tag data according to unit conversion coefficients of the tags;
s322, integrating according to the passing speed of the materials in the material tracking event information and the time resolution of the calling parameters, calculating the sampling position on the material corresponding to each sampling moment, generating the conversion relation between the sampling moment and the sampling position of the tag data, and converting the tag data;
s323, establishing a multi-dimensional attribute identifier of the tag data according to the material ID, the production serial number, the process identifier and the production management element identifier in the material tracking event information;
s324, storing tag data by taking the material ID, the production serial number, the process identification and the production management element identification as key values.
2. The method of claim 1, wherein the production process data configuration table in S1 comprises: tag data, basic attributes of the tag, and data access information of the tag;
wherein the tag data includes: production data of the whole period of the steel production process;
the basic attributes of the tag include: a label name, a label ID, a unit conversion coefficient, a data source variable name, a time resolution, an annotation and a production management element identification;
the data access information includes: the method comprises the steps of reading application programming API interface of tag data from a data acquisition platform, calling parameters of the API interface and material tracking event ID used for determining reading time sequence.
3. The method of claim 2, wherein the production management element identification comprises: equipment, processes, operations, detection, and energy intermediation.
4. The method of claim 2, wherein the call parameters of the API interface comprise: a list of data sources, a material ID, a start time, an end time, and a time resolution.
5. The method according to claim 1, wherein the step of obtaining the change of the material position and the change of the material state according to the preset period in S2, and generating the material tracking event information includes:
s21, acquiring material tracking signals and production plan information of each production procedure from a data acquisition platform according to a preset period;
s22, calculating and updating the material position and the material state according to the material tracking signal and the production plan information;
s23, generating material tracking event information according to the material positions and the material states before and after updating;
wherein, the material tracking event information includes: event ID, process identification, material ID, production serial number, material arrival time, departure time and passing speed of the current tracking position.
6. The method of claim 1, wherein the step of S2 of obtaining the change in the material position and the change in the material state according to the preset period to generate the material tracking event information further comprises:
and releasing the packaged material tracking event information through a message bus component.
7. The method according to claim 1, wherein the reading of the tag data of the specified time period in the production process data configuration table according to the material tracking event information in S3 includes:
s311, reading tags from the production process data configuration table according to event IDs in the material tracking event information, and combining the tags with the API interface and the calling parameters with the same configuration to obtain a plurality of tag sets;
s312, reading all tag data in each tag set in the tag sets from the data acquisition platform at one time according to the API interface and the calling parameters.
8. The method according to claim 1, wherein the step S4 of combining the converted tag data according to the application requirement to form an application theme and providing the data service to the outside through the unified service interface includes:
selecting required labels according to application requirements, recombining the labels into a label set, creating an application theme, and distributing a unique application theme ID for the application theme;
and taking the material ID and the application subject ID as parameters, and providing data service to the outside through a unified service interface.
9. A steel production process data management device based on material portraits, the device comprising:
the configuration table establishing module is used for establishing a production process data configuration table;
the event information generation module is used for acquiring the change of the material position and the change of the material state according to a preset period and generating material tracking event information;
the tag data conversion module is used for reading tag data of a designated time period in a production process data configuration table according to the material tracking event information, and converting, identifying and storing the tag data;
the output module is used for combining the converted tag data according to the application requirements to form an application theme and providing data service to the outside through the unified service interface;
the converting, identifying and storing the tag data comprises the following steps:
s321, converting tag data according to unit conversion coefficients of the tags;
s322, integrating according to the passing speed of the materials in the material tracking event information and the time resolution of the calling parameters, calculating the sampling position on the material corresponding to each sampling moment, generating the conversion relation between the sampling moment and the sampling position of the tag data, and converting the tag data;
s323, establishing a multi-dimensional attribute identifier of the tag data according to the material ID, the production serial number, the process identifier and the production management element identifier in the material tracking event information;
s324, storing tag data by taking the material ID, the production serial number, the process identification and the production management element identification as key values.
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| CN115202304A (en) * | 2022-07-19 | 2022-10-18 | 湖北三环锻造有限公司 | Material frame tracking method in forging production process |
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| US10852712B2 (en) * | 2016-02-17 | 2020-12-01 | Plataine Ltd. | Tracking production in a production facility using searchable digital threads |
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| CN108062080A (en) * | 2017-12-21 | 2018-05-22 | 安徽马钢自动化信息技术有限公司 | Coil of strip rewinding fabrication line process control system |
| CN107895186A (en) * | 2017-12-26 | 2018-04-10 | 冶金自动化研究设计院 | Special Steel Enterprise materiel tracking system based on bar code and hand-held PDA |
| CN115202304A (en) * | 2022-07-19 | 2022-10-18 | 湖北三环锻造有限公司 | Material frame tracking method in forging production process |
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