CN114398450A - Processing method and device for production quality data and electronic equipment - Google Patents
Processing method and device for production quality data and electronic equipment Download PDFInfo
- Publication number
- CN114398450A CN114398450A CN202111658009.8A CN202111658009A CN114398450A CN 114398450 A CN114398450 A CN 114398450A CN 202111658009 A CN202111658009 A CN 202111658009A CN 114398450 A CN114398450 A CN 114398450A
- Authority
- CN
- China
- Prior art keywords
- quality data
- parameters
- data
- quality
- production
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 141
- 238000003672 processing method Methods 0.000 title claims abstract description 16
- 229910000831 Steel Inorganic materials 0.000 claims abstract description 60
- 239000010959 steel Substances 0.000 claims abstract description 60
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims abstract description 50
- 238000007689 inspection Methods 0.000 claims abstract description 32
- 238000005096 rolling process Methods 0.000 claims abstract description 32
- 229910052742 iron Inorganic materials 0.000 claims abstract description 25
- 238000004806 packaging method and process Methods 0.000 claims abstract description 11
- 238000000034 method Methods 0.000 claims description 99
- 230000008569 process Effects 0.000 claims description 69
- 238000012545 processing Methods 0.000 claims description 26
- 238000003860 storage Methods 0.000 claims description 17
- 238000003723 Smelting Methods 0.000 claims description 16
- 238000003908 quality control method Methods 0.000 claims description 16
- 238000012360 testing method Methods 0.000 claims description 16
- 238000003556 assay Methods 0.000 claims description 15
- 238000012795 verification Methods 0.000 claims description 12
- 238000010438 heat treatment Methods 0.000 claims description 8
- 238000013461 design Methods 0.000 claims description 7
- 238000010586 diagram Methods 0.000 description 20
- 238000005516 engineering process Methods 0.000 description 10
- 238000004891 communication Methods 0.000 description 6
- 238000009628 steelmaking Methods 0.000 description 6
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- 238000001514 detection method Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 239000010960 cold rolled steel Substances 0.000 description 2
- 238000005097 cold rolling Methods 0.000 description 2
- 238000005098 hot rolling Methods 0.000 description 2
- 238000005245 sintering Methods 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 238000005452 bending Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000012217 deletion Methods 0.000 description 1
- 230000037430 deletion Effects 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 230000003116 impacting effect Effects 0.000 description 1
- 230000002427 irreversible effect Effects 0.000 description 1
- 230000005055 memory storage Effects 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 238000012856 packing Methods 0.000 description 1
- 238000011056 performance test Methods 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000036314 physical performance Effects 0.000 description 1
- 238000004886 process control Methods 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 238000007670 refining Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
-
- 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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of 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
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Tourism & Hospitality (AREA)
- Databases & Information Systems (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Data Mining & Analysis (AREA)
- General Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Manufacturing & Machinery (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- General Factory Administration (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application discloses a processing method and device for production quality data and electronic equipment. The processing method of the production quality data comprises the following steps: generating quality data for a first production process flow through a first system node; the first system node is a node corresponding to a first system in the first block chain; the first system is an information system aiming at a first production process flow in the steel production system; the first production process flow is one of the following production links: an iron making link, a steel rolling link and a quality inspection link; packaging the quality data into a quality data block of a first format; the quality data blocks are broadcast in the first block chain such that the quality data blocks are stored in a distributed database of the first block chain after being consensus verified. According to the embodiment of the application, the reliability of the quality data of the steel production process flow can be improved.
Description
Technical Field
The application belongs to the technical field of steel production, and particularly relates to a method and a device for processing production quality data and electronic equipment.
Background
When steel enterprises produce products, strict detection is carried out from raw material entering a factory to leaving the factory, and quality data of each production link is recorded. In order to further provide the reliability and uniqueness of the quality data of the enterprises, the iron and steel enterprises need to adopt a set of safe management system of the quality data of the iron and steel, however, the management system adopted by the iron and steel enterprises at present generally stores the quality data of the corresponding production process flow respectively through information systems of different production process flows, the quality data is easy to modify or lose, and the reliability of the quality data is low.
Disclosure of Invention
The embodiment of the application provides a processing method and device for production quality data and electronic equipment, and the reliability of the quality data of a steel production process flow can be improved.
In a first aspect, an embodiment of the present application provides a method for processing production quality data, where the method includes:
generating quality data for a first production process flow through a first system node; the first system node is a node corresponding to a first system in the first block chain; the first system is an information system aiming at a first production process flow in the steel production system; the first production process flow is one of the following production links: an iron making link, a steel rolling link and a quality inspection link;
packaging the quality data into a quality data block of a first format;
the quality data blocks are broadcast in the first block chain such that the quality data blocks are stored in a distributed database of the first block chain after being consensus verified.
Optionally, the quality data of the first production process flow comprises one of: process quality control parameters, model operation control parameters, manual operation parameters and assay acquisition parameters.
Optionally, the process quality control parameter comprises one of the following parameters: contract process design parameters, process specification data, production line specification parameters and inspection and test specification parameters;
the model operation control parameter includes one of the following parameters: smelting process parameters, smelting time control parameters, temperature control parameters, rolling force control parameters, heating control parameters and rolling process parameters;
the manual operation parameters are manual operation record data;
the assay acquisition parameter comprises one of: process component data, performance data, and full process quality data.
Optionally, generating, by the first system node, quality data for the first production process flow includes:
acquiring an account book stored in a distributed database of a second block chain through a first system node; wherein the first system node is also in a second blockchain that is independent of the first blockchain; the second block chain is used for storing a quality data book of the first production process flow;
and acquiring newly added quality data of the account book of the second block chain in the current period according to a preset period corresponding to the first system node, and acquiring the quality data generated aiming at the first production process flow.
Optionally, before generating the quality data for the first production process flow by the first system node, the method further comprises:
receiving quality data blocks issued by other nodes except the first system node in the second block chain aiming at the first production process flow;
storing, by the first system node, the quality data block in an accounting book of the second blockchain after passing the consensus verification.
In a second aspect, an embodiment of the present application provides a processing apparatus for producing quality data, the apparatus including:
the generating unit is used for generating quality data aiming at the first production process flow through the first system node; the first system node is a node corresponding to a first system in the first block chain; the first system is an information system aiming at a first production process flow in the steel production system; the first production process flow is one of the following production links: an iron making link, a steel rolling link and a quality inspection link;
the packaging unit is used for packaging the quality data into a quality data block in a first format;
and the broadcasting unit is used for broadcasting the quality data blocks in the first block chain, so that the quality data blocks are stored in a distributed database of the first block chain after being subjected to consensus verification.
Optionally, the quality data of the first production process flow comprises one of: process quality control parameters, model operation control parameters, manual operation parameters and assay acquisition parameters.
Optionally, the process quality control parameter comprises one of the following parameters: contract process design parameters, process specification data, production line specification parameters and inspection and test specification parameters;
the model operation control parameter includes one of the following parameters: smelting process parameters, smelting time control parameters, temperature control parameters, rolling force control parameters, heating control parameters and rolling process parameters;
the manual operation parameters are manual operation record data;
the assay acquisition parameter comprises one of: process component data, performance data, and full process quality data.
Optionally, the generating unit includes:
the first obtaining subunit is configured to obtain, by a first system node, an account book stored in a distributed database of the second block chain; wherein the first system node is also in a second blockchain that is independent of the first blockchain; the second block chain is used for storing a quality data book of the first production process flow;
and the second acquisition subunit is used for acquiring newly added quality data of the account book of the second block chain in the current period according to the preset period corresponding to the first system node, so as to obtain the quality data generated aiming at the first production process flow.
Optionally, the apparatus further comprises:
the receiving unit is used for receiving quality data blocks issued by other nodes except the first system node in the second block chain aiming at the first production process flow before the quality data is generated aiming at the first production process flow through the first system node;
and the storage unit is used for storing the quality data blocks in the account book of the second block chain after the consensus verification through the first system node.
In a third aspect, an embodiment of the present application provides an electronic device, including: a processor and a memory storing program instructions; the processor, when executing the program instructions, implements a method of processing production quality data as described in the first aspect.
In a fourth aspect, the present application provides a readable storage medium, on which program instructions are stored, and when executed by a processor, the program instructions implement the processing method for producing quality data according to the first aspect.
In a fifth aspect, the present application provides a program product, and instructions in the program product, when executed by a processor of an electronic device, enable the electronic device to execute the processing method for producing quality data according to the first aspect.
According to the processing method, the processing device, the electronic equipment, the readable storage medium and the program product of the production quality data, the quality data are generated aiming at a first production process flow through a first system node, the quality data are packaged into a quality data block in a first format, and then the quality data block is broadcasted in a first block chain, so that the quality data block is stored in a distributed database of the first block chain after consensus verification, the quality data of the production process flow of each production link in an iron and steel production system such as an iron making link, a steel rolling link and a quality inspection link can be stored in different system nodes, and based on the characteristics of the block chain, the quality data are not easy to be tampered, and the reliability of the quality data is guaranteed.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a first schematic flow chart of a method for processing production quality data according to an embodiment of the present disclosure;
FIG. 2 is a schematic process flow diagram of a steel production process according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a network of steel production systems provided by an embodiment of the present application;
fig. 4 is a network diagram of a first blockchain provided by an embodiment of the present application;
FIG. 5 is a block diagram of quality data provided by one embodiment of the present application;
FIG. 6 is a block diagram of a quality data block according to an embodiment of the present application;
FIG. 7 is a second flowchart illustrating a method for processing production quality data according to an embodiment of the present disclosure;
fig. 8 is a network diagram of a first blockchain and a second blockchain provided by an embodiment of the present application;
FIG. 9 is a schematic diagram of a processing apparatus for producing quality data according to another embodiment of the present application;
fig. 10 is a schematic structural diagram of an electronic device according to still another embodiment of the present application.
Detailed Description
Features and exemplary embodiments of various aspects of the present application will be described in detail below, and in order to make objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are intended to be illustrative only and are not intended to be limiting. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present application by illustrating examples thereof.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
In order to solve the problems in the prior art, embodiments of the present application provide a method, an apparatus, a device, and a readable storage medium for processing production quality data. The following first describes a method for processing production quality data provided in the embodiments of the present application.
Fig. 1 is a schematic flow chart illustrating a method for processing production quality data according to an embodiment of the present application. As shown in FIG. 1, the method comprises the following steps 101-103.
The first production process flow can be a process flow of one of the following four production links: the method comprises an iron-making link, a steel rolling link and a quality inspection link.
In one example, the whole process flow of a steel enterprise (refer to fig. 2) includes: mining → ore dressing → sintering → ironmaking → steel making → hot rolling → cold rolling, the iron and steel processing starts from the ore dressing of iron ore, the processing is carried out through a plurality of processes in the middle, finally, the ore is changed into an iron and steel product, most commonly, the iron and steel product is processed into a hot rolled steel coil or a cold rolled steel coil, and then the hot rolled steel coil or the cold rolled steel coil is sent to downstream enterprises or the next process for processing. In order to ensure the quality of products in the whole link, a large number of sensors are used for collecting quality numbers, or quality data are collected in a manual collection mode, so that the quality detection and control of the products in each link are realized.
In the above-mentioned whole process, in order to monitor and grasp the quality of the product, the steel enterprise may collect the production process data and quality data in the production process by using a plurality of information systems, and a large amount of product quality information is recorded in different sensors and systems, and generally, these data include: the sintering quality data, the iron-making quality data, the steel-making quality data, the rolling quality data and the like are commonly present in various inspection and test systems or full-flow quality systems, and the quality judgment and control are realized in a mode of combining the system and manpower.
The first system is an information system aiming at a first production process flow in the steel production system. Referring to FIG. 3, an information system in an example steel production system may include five: the system comprises an iron-making quality data information system, a steel-rolling quality data information system, a quality inspection quality data information system and a steel enterprise quality data information system, wherein the steel enterprise quality data information system can comprise quality inputs generated in the four production links.
The first system node is a node corresponding to the first system in the first block chain. Alternatively, the steel enterprise quality data information system may be located in one of the first blockchains, and is used as one of the nodes of the distributed storage database of the first blockchain.
Exemplarily, referring to fig. 4, an optional network diagram of the first blockchain provided in the embodiment of the present application is shown, where the optional network diagram includes system nodes corresponding to the above five systems, and each system node stores a data ledger shared in the blockchain. Alternatively, the nodes corresponding to the quality data information system of the iron and steel enterprise may be configured not to have accounting authority, that is, only receive the records broadcast by other nodes and record the records in the ledger, and do not add the records to the ledger of the first block chain.
In order to build the quality data of the whole steel production process based on the block chain technology, the first step is to realize the acquisition and storage of basic data, thereby realizing the packing and uploading of blocks in the block chain.
According to the production process flow of the iron and steel enterprise, the related quality data can comprise the following data:
iron-making quality data: process quality control data, model operating parameters, manual operation recording data, inspection and test quality acquisition data and the like;
the steelmaking quality data are as follows: process quality control data, model operating parameters, manual operation recording data, inspection and test quality acquisition data and the like, such as L2 model parameter data in the converter and refining processes;
third, steel rolling quality data: process quality control data, model operating parameters, manual operation recording data (hot rolling, cold rolling and heat treatment), inspection quality acquisition data and the like;
quality inspection quality data: the inspection and test data and the physical platform data, for example, the inspection and test management system is mainly responsible for issuing an inspection instruction to an LIMS (laboratory information management) system, receiving chemical components and physical performance test actual results (including tests such as stretching, bending, impacting, hardness, metallographic phase, flaw detection and the like) fed back by the LIMS system, and completing comparison of the actual performance data and the standard data to form a judgment result.
The above-mentioned process quality control parameters include, for example: contract process design parameters, process specification data, production line specification parameters, inspection and test specification parameters and the like; the model operation control parameters include: smelting process parameters, smelting time control parameters, temperature control parameters, rolling force control parameters, heating control parameters, rolling process parameters and the like; the manual operation parameters include: manually recording data; the assay parameters include: process component data, performance data, and full process quality data. In the data, the steel-making quality data takes a furnace as an inspection batch, the steel-rolling quality data takes a coil or a test batch number as an inspection batch, and the quality inspection quality data takes a coil or a test batch number as an inspection batch.
The above parameters may be stored in various kinds of information systems and databases, for example, process control parameters are stored in an mes (mms) manufacturing management system, steel making process parameters and steel rolling process parameters may be stored in an L2 model server, and assay data may be stored in an assay server.
Accordingly, the quality data of the first production process flow may include one of: process quality control parameters, model operation control parameters, manual operation parameters and assay acquisition parameters. Referring to fig. 5, parameters included in the quality data of each production process flow are shown.
Further, the process quality control parameter may comprise one of the following parameters: contract process design parameters, process specification data, production line specification parameters and inspection and test specification parameters; the model operation control parameters may include one of the following parameters: smelting process parameters, smelting time control parameters, temperature control parameters, rolling force control parameters, heating control parameters and rolling process parameters; the manual operation parameters may record data for manual operation; the assay acquisition parameter may include one of the following: process component data, performance data, and full process quality data.
After each system node generates quality data (also referred to as transaction in the blockchain) of the relevant production link, the corresponding system node may upload the quality data to the blockchain server, thereby forming blocky raw data (quality data block).
The block chain is a chain data structure formed by combining data blocks in a sequential connection mode according to a time sequence, and is a distributed account book which is guaranteed in a cryptographic mode and cannot be tampered and forged. The block chain (block chain) is a block in which the blocks are blocks, can be understood as data blocks formed by packaging transaction information, the chain is a chain, can be understood as connecting the blocks in sequence, and all users can check the data blocks formed by packaging in sequence, which is a big ledger, and the ledger records all transaction data. However, the block chain is more specific to the book, and the most specific point is that every person has one copy. This is the source of the decentralized feature of the blockchain, and there is only one common ledger, which is held in the keeper (the central node, such as a bank), but each node in the blockchain has this ledger. Therefore, in the embodiment of the application, the quality data of the whole steel production process is stored and managed based on the block chain technology, and specifically, a distributed block chain ledger book of the quality data of the steel enterprise with 5 nodes can be built, as shown in fig. 4.
The basic flow of the block chain technology comprises the following three steps: transaction, block, chain. The three steps are described below in connection with the steel production process business.
Quality data Transaction (Transaction): an operation on the distributed ledger results in a change of the state/content of the ledger, such as adding an ironmaking quality data record (deletion is not allowed to occur);
quality data Block (Block): new steel data needs to be recorded (trade) and needs to be put into a (quality data) block, which includes a block header and a block body. For example, the quality data block provided by the embodiment of the present application may be as shown in fig. 6.
The data structure in the quality data block chain of the iron and steel enterprise is connected by the blocks in the chain data structure, and the data structure (first format) in the quality data block comprises (refer to fig. 6): firstly, a block head and a block body are included in one block, wherein the block head also comprises: index (ID), timestamp, hash value of current block, hash value of previous block (previous hash), a random number (nonce), the number of which is used for workload attestation. The block body mainly contains all Transaction information, which is mainly UTXO (un-spent Transaction Output) and records input and Output of each Transaction.
Chain (Chain): the system is formed by serially connecting block services according to the order of the service occurrences, and is a log record of the whole state change.
In this embodiment of the present application, when a quality data block is packaged, a HASH algorithm may be used, transaction information in a transaction block is encrypted by the HASH algorithm, and the information is compressed into a HASH character string composed of a string of numbers and letters, a message digest obtained by compressing the message is a HASH value, the HASH value may be regarded as a logical location where the original information data is stored, and the HASH value of the block chain can uniquely and accurately identify a block.
In step 103, the quality data blocks are broadcasted in the first block chain, so that the quality data blocks are stored in the distributed database of the first block chain after being subjected to consensus verification.
In combination with the business process of steel production, the work process of first blockchain data distribution may specifically include the following steps:
when new quality service occurs, the sending node broadcasts new data record to the whole network. For example, when steel rolling process data is generated, the steel rolling quality data book packs the data records into blocks and then broadcasts the data records to the whole network.
The receiving node checks the received data record information, for example, whether the record information is legal or not, and the data record is included in a block after the check. In the first step, when the steel rolling quality data account book broadcasts a block data to the whole network, the iron making quality data account book, the steel making quality data account book, the enterprise quality data account book and the checking and testing quality data account book receive the block information, the recorded information is checked, and the recorded information is written into a block chain after the checking is successful.
And thirdly, executing a consensus algorithm on the blocks by all receiving nodes (five quality data accounts) of the whole network.
And fourthly, formally incorporating the blocks into a block chain quality book for storage after the blocks pass through the consensus algorithm process, wherein all nodes in the whole network indicate that the blocks are accepted, and the acceptance method is that the random hash value of the blocks is regarded as the latest block hash value, and the manufacture of new blocks is prolonged on the basis of the block chain.
Referring to fig. 7, for example, a "physicochemical inspection data" is generated in the quality inspection quality data book, the book packs the related data into quality data blocks, and then broadcasts the quality data blocks in the whole block chain network shown in fig. 4, and after the other nodes perform the consensus algorithm, the corresponding quality data blocks are generated and written into the own book.
Alternatively, in the processing method for production quality data provided in this embodiment of the present application, each system node may also exist in another blockchain that is independent from the first blockchain, and an exemplary schematic diagram is shown in fig. 8, which takes the system node corresponding to the iron smelting quality data as an example, and may exist in another blockchain (hereinafter referred to as a second blockchain) in which other nodes exist, and all nodes in the blockchain are used for recording an iron smelting quality data ledger. Of course, other system nodes in the first blockchain may also exist in the corresponding second blockchain (not shown in fig. 8), that is, taking the first blockchain shown in fig. 4 as an example, each system node may also exist in the corresponding second blockchain, that is, there are five second blockchains independent from the first blockchain, and only one system node is taken as an example in fig. 8 for exemplary illustration. The technology used by the second blockchain may refer to the first blockchain, and is not described in detail.
Specifically, the nodes in the second blockchain are used for uploading the ledger of the corresponding production link, and do not store the ledgers of other production links. For example, the nodes in the second blockchain may include devices for recording quality data of different types, for example, a worker may record quality data in a production link through a mobile phone terminal, a computer, and the like, and broadcast the quality data to the second blockchain, so that all the nodes in the second blockchain are recorded in its own account book. Furthermore, each system node may broadcast, at intervals of a preset period, newly-added records in the period to the first blockchain based on the ledger of the second blockchain in which the system node is located. Therefore, different workers in each process link can conveniently upload quality data by using different terminals, and the safety of the quality data in each process link can be ensured.
Accordingly, the step 101 of generating quality data for the first production process flow by the first system node may comprise the steps of:
step 1011, the ledger stored in the distributed database of the second block chain is obtained through the first system node.
The first system node is also in a second blockchain that is independent of the first blockchain. The second block chain is used for storing a quality data book of the first production process flow.
Step 1012, acquiring newly added quality data of the ledger of the second block chain in the current period according to the preset period corresponding to the first system node, and acquiring the generated quality data aiming at the first production process flow.
Here, the intervals of the preset periods of each system node may be the same or different, and the time nodes for generating and uploading the quality data may be staggered with each other, so as to avoid competing with each other for recording the authority of the ledger.
Optionally, before the quality data is generated for the first production process flow by the first system node, a quality data block issued for the first production process flow by other nodes in the second block chain except the first system node may also be received, and the quality data block is stored in the ledger of the second block chain after being subjected to consensus verification by the first system node. Optionally, since each system node in the first block chain uploads quality data in a preset period, there may be a time when the quality data upload time is not the time when the quality data is input or generated, in this case, the input time of the quality data uploaded by each node in the second block chain may be recorded in each quality data block of the account book of each second block chain, so as to facilitate subsequent query.
According to the processing method of the production quality data, the quality data are generated aiming at the first production process flow through the first system node, the quality data are packaged into the quality data blocks in the first format, and then the quality data blocks are broadcasted in the first block chain, so that the quality data blocks are stored in the distributed database of the first block chain after being identified and verified, the quality data of the production process flow of each production link in the iron and steel production system such as an iron making link, a steel rolling link and a quality inspection link can be stored in different system nodes, and based on the characteristics of the block chain, the quality data are not easy to be tampered, and the reliability of the quality data is guaranteed.
The block chain technology is a new technology, has the characteristics of decentralization, openness, no tampering, traceability and the like, and can effectively solve the problems in the existing steel product quality traceability system. When each data in the block chain needs to be modified, the data must be modified layer by layer from the uppermost block, and the lowermost data has an opportunity to be modified, so that the modification is very difficult and basically impossible, and therefore, the uniqueness of the quality data is ensured. The block chain solves the distrust problem on the basis of the immutable information and the traceable records through standardized specifications and protocols, and can set related quality management contracts in the form of intelligent contracts and develop an automatically-operated quality management intelligent system.
In the quality system management of steel production, the decentralized, safe and non-falsifiable property, the openness and the traceability of a block chain can be utilized to divide the quality elements of each link in the steel production process into different blocks, generate steel product quality data blocks and store the data blocks on the decentralized peer-to-peer network node architecture. The quality data in all production flows are distributed in each network node in a block mode according to a set rule, a trusted timestamp technology is adopted, and an irreversible time element is adopted for packaging, so that the uniqueness of the quality data is ensured. In the quality management of steel production based on the block chain technology, quality parameter data generated in the steel production process are independently packaged in a block form and are sequentially linked with one another, so that product data can be traced and inquired by utilizing a time stamp, a data address, data contents, a data updating personnel code and the like of a data block. The quality management level is improved by using a block chain technology, the product quality is guaranteed, meanwhile, the product information can be traced, the quality elements of each link of the product production are recorded in a distributed mode, and the safety and the credibility of data are guaranteed.
Fig. 9 is a schematic structural diagram of a processing apparatus for producing quality data according to an embodiment of the present application. The processing device for the production quality data provided by the embodiment of the application can be used for executing the processing method for the production quality data provided by the embodiment of the application. For parts not described in detail in the embodiments of the processing apparatus for producing quality data provided in the embodiments of the present application, reference may be made to the description in the embodiments of the processing method for producing quality data provided in the embodiments of the present application.
As shown in fig. 9, the processing apparatus for producing quality data according to the embodiment of the present application includes a producing unit 11, an encapsulating unit 12, and a broadcasting unit 13.
The generation unit 11 is configured to generate quality data for a first production process flow through a first system node; the first system node is a node corresponding to a first system in the first block chain; the first system is an information system aiming at a first production process flow in the steel production system; the first production process flow is one of the following production links: an iron making link, a steel rolling link and a quality inspection link;
the encapsulating unit 12 is configured to encapsulate the quality data into a quality data block in a first format;
the broadcasting unit 13 is configured to broadcast the quality data blocks in the first block chain, so that the quality data blocks are stored in the distributed database of the first block chain after being subjected to consensus verification.
Optionally, the quality data of the first production process flow may include one of: process quality control parameters, model operation control parameters, manual operation parameters and assay acquisition parameters.
Optionally, the process quality control parameter may comprise one of the following: contract process design parameters, process specification data, production line specification parameters and inspection and test specification parameters;
the model operation control parameters may include one of the following parameters: smelting process parameters, smelting time control parameters, temperature control parameters, rolling force control parameters, heating control parameters and rolling process parameters;
the manual operation parameters may record data for manual operation;
the assay acquisition parameter may include one of the following: process component data, performance data, and full process quality data.
Alternatively, the generating unit 11 may include:
the first obtaining subunit is configured to obtain, by a first system node, an account book stored in a distributed database of the second block chain; wherein the first system node is also in a second blockchain that is independent of the first blockchain; the second block chain is used for storing a quality data book of the first production process flow;
and the second acquisition subunit is used for acquiring newly added quality data of the account book of the second block chain in the current period according to the preset period corresponding to the first system node, so as to obtain the quality data generated aiming at the first production process flow.
Optionally, the apparatus may further include:
the receiving unit is used for receiving quality data blocks issued by other nodes except the first system node in the second block chain aiming at the first production process flow before the quality data is generated aiming at the first production process flow through the first system node;
and the storage unit is used for storing the quality data blocks in the account book of the second block chain after the consensus verification through the first system node.
According to the processing device for the production quality data, quality data are generated aiming at a first production process flow through a first system node, the quality data are packaged into a quality data block in a first format, and then the quality data block is broadcasted in a first block chain, so that the quality data block is stored in a distributed database of the first block chain after being identified and verified, the quality data of the production process flow of each production link in an iron and steel production system such as an iron making link, a steel rolling link and a quality inspection link can be stored in different system nodes, and based on the characteristics of the block chain, the quality data are not easy to be tampered, and the reliability of the quality data is guaranteed.
Fig. 10 shows a hardware structure diagram of an electronic device provided in an embodiment of the present application.
The electronic device may include a processor 301 and a memory 302 having stored program instructions.
Specifically, the processor 301 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.
In a particular embodiment, the memory 302 includes Read Only Memory (ROM). Where appropriate, the ROM may be mask-programmed ROM, Programmable ROM (PROM), Erasable PROM (EPROM), Electrically Erasable PROM (EEPROM), electrically rewritable ROM (EAROM), or flash memory or a combination of two or more of these.
The memory may include Read Only Memory (ROM), Random Access Memory (RAM), magnetic disk storage media devices, optical storage media devices, flash memory devices, electrical, optical, or other physical/tangible memory storage devices. Thus, in general, the memory includes one or more tangible (non-transitory) readable storage media (e.g., a memory device) encoded with software comprising computer-executable instructions and when the software is executed (e.g., by one or more processors), it is operable to perform operations described with reference to the method according to an aspect of the application.
The processor 301 implements any one of the processing methods for producing quality data in the above embodiments by reading and executing program instructions stored in the memory 302.
In one example, the electronic device may also include a communication interface 303 and a bus 310. As shown in fig. 10, the processor 301, the memory 302, and the communication interface 303 are connected via a bus 310 to complete communication therebetween.
The communication interface 303 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiment of the present application.
In combination with the processing method of the production quality data in the above embodiments, the embodiments of the present application may provide a readable storage medium to implement. The readable storage medium having stored thereon program instructions; the program instructions, when executed by a processor, implement any of the above-described embodiments of a method of processing production quality data.
It is to be understood that the present application is not limited to the particular arrangements and instrumentality described above and shown in the attached drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications, and additions or change the order between the steps after comprehending the spirit of the present application.
The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the present application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
Aspects of the present application are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by program instructions. These program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions/acts specified in the flowchart and/or block diagram block or blocks. Such a processor may be, but is not limited to, a general purpose processor, a special purpose processor, an application specific processor, or a field programmable logic circuit. It will also be understood that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware for performing the specified functions or acts, or combinations of special purpose hardware and computer instructions.
As described above, only the specific embodiments of the present application are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present application, and these modifications or substitutions should be covered within the scope of the present application.
Claims (13)
1. A method of processing production quality data, comprising:
generating quality data for a first production process flow through a first system node; the first system node is a node corresponding to a first system in a first block chain; the first system is an information system aiming at the first production process flow in the steel production system; the first production process flow is one of the following production links: an iron making link, a steel rolling link and a quality inspection link;
packaging the quality data into a quality data block of a first format;
broadcasting the quality data blocks in the first block chain such that the quality data blocks are stored in a distributed database of the first block chain after consensus verification.
2. The method of claim 1, wherein the quality data of the first production process flow comprises one of: process quality control parameters, model operation control parameters, manual operation parameters and assay acquisition parameters.
3. The method of claim 2, wherein the process quality control parameter comprises one of: contract process design parameters, process specification data, production line specification parameters and inspection and test specification parameters;
the model operation control parameter comprises one of the following parameters: smelting process parameters, smelting time control parameters, temperature control parameters, rolling force control parameters, heating control parameters and rolling process parameters;
the manual operation parameters are manual operation record data;
the assay acquisition parameter comprises one of: process component data, performance data, and full process quality data.
4. The method of claim 1, wherein generating quality data for a first production process flow by a first system node comprises:
acquiring an account book stored in a distributed database of a second block chain through the first system node; wherein the first system node is also in a second blockchain that is independent of the first blockchain; the second block chain is used for storing a quality data book of the first production process flow;
and acquiring newly added quality data of the account book of the second block chain in the current period according to a preset period corresponding to the first system node, and acquiring the generated quality data aiming at the first production process flow.
5. The method of claim 4, wherein prior to generating quality data for the first production process flow by the first system node, the method further comprises:
receiving quality data blocks issued by other nodes except the first system node in the second block chain aiming at the first production process flow;
storing, by the first system node, the quality data chunk in an accounting book of the second blockchain after passing consensus verification.
6. A processing apparatus for producing quality data, comprising:
the generating unit is used for generating quality data aiming at the first production process flow through the first system node; the first system node is a node corresponding to a first system in a first block chain; the first system is an information system aiming at the first production process flow in the steel production system; the first production process flow is one of the following production links: an iron making link, a steel rolling link and a quality inspection link;
the packaging unit is used for packaging the quality data into a quality data block in a first format;
a broadcasting unit, configured to broadcast the quality data block in the first block chain, so that the quality data block is stored in a distributed database of the first block chain after being subjected to consensus verification.
7. The apparatus of claim 6, wherein the quality data of the first production process flow comprises one of: process quality control parameters, model operation control parameters, manual operation parameters and assay acquisition parameters.
8. The apparatus of claim 7, wherein the process quality control parameter comprises one of: contract process design parameters, process specification data, production line specification parameters and inspection and test specification parameters;
the model operation control parameter comprises one of the following parameters: smelting process parameters, smelting time control parameters, temperature control parameters, rolling force control parameters, heating control parameters and rolling process parameters;
the manual operation parameters are manual operation record data;
the assay acquisition parameter comprises one of: process component data, performance data, and full process quality data.
9. The apparatus of claim 6, wherein the generating unit comprises:
the first obtaining subunit is configured to obtain, by the first system node, an account book stored in a distributed database of a second block chain; wherein the first system node is also in a second blockchain that is independent of the first blockchain; the second block chain is used for storing a quality data book of the first production process flow;
and the second obtaining subunit is configured to obtain, in a preset period corresponding to the first system node, newly added quality data of the ledger of the second block chain in the current period, and obtain the generated quality data for the first production process flow.
10. The apparatus of claim 9, further comprising:
a receiving unit, configured to receive, before quality data is generated for a first production process flow by a first system node, a quality data block issued for the first production process flow by a node other than the first system node in the second block chain;
a storage unit, configured to store, by the first system node, the quality data block in an accounting book of the second blockchain after being subjected to consensus verification.
11. An electronic device, characterized in that the electronic device comprises: a processor and a memory storing program instructions;
the processor, when executing the program instructions, implements a method of processing production quality data as claimed in any one of claims 1 to 5.
12. A readable storage medium, characterized in that the readable storage medium has stored thereon program instructions which, when executed by a processor, implement the processing method of production quality data according to any one of claims 1-5.
13. A program product, characterized in that the instructions in the program product, when executed by a processor of an electronic device, cause the electronic device to perform the processing method for producing quality data according to any one of claims 1-5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111658009.8A CN114398450A (en) | 2021-12-30 | 2021-12-30 | Processing method and device for production quality data and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111658009.8A CN114398450A (en) | 2021-12-30 | 2021-12-30 | Processing method and device for production quality data and electronic equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114398450A true CN114398450A (en) | 2022-04-26 |
Family
ID=81228174
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111658009.8A Pending CN114398450A (en) | 2021-12-30 | 2021-12-30 | Processing method and device for production quality data and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114398450A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI817707B (en) * | 2022-09-07 | 2023-10-01 | 國立中央大學 | Blockchain-based manufacturing execution system and method |
-
2021
- 2021-12-30 CN CN202111658009.8A patent/CN114398450A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI817707B (en) * | 2022-09-07 | 2023-10-01 | 國立中央大學 | Blockchain-based manufacturing execution system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101666599B (en) | Novel digital electronic detonator supervisory system and supervisory method thereof | |
| CN111427957A (en) | Block chain voting information verification method, device, equipment and storage medium | |
| CN110866289B (en) | Block chain-based data processing method, device, server and storage medium | |
| CN111475570A (en) | Concrete quality supervision method, device, equipment and storage medium | |
| CN110689348B (en) | Revenue verification method, device, terminal and medium based on alliance chain | |
| CN112039893B (en) | Private transaction processing method and device, electronic equipment and readable storage medium | |
| CN112671908B (en) | Network management method and device, electronic equipment and readable storage medium | |
| CN114398450A (en) | Processing method and device for production quality data and electronic equipment | |
| CN116628757B (en) | Spacecraft supply chain management method, equipment and storage medium based on block chain | |
| CN114036147A (en) | Data warehouse construction method, device, equipment and storage medium | |
| CN113052492A (en) | Engineering construction supervision method and system based on block chain technology | |
| CN111105277B (en) | Method and device for tracing transaction of block chain state change | |
| CN112862650A (en) | Object handover method and device and electronic equipment | |
| CN107835174B (en) | Account book anti-fraud system and method based on Internet of things | |
| CN113468574B (en) | Block chain data uplink method and device | |
| CN114372072A (en) | Data storage method, device, equipment, computer storage medium and program product | |
| CN112383407A (en) | Online notarization full-flow log processing method and system based on block chain | |
| CN114553586A (en) | Data acquisition method, apparatus, device, medium, and program product | |
| CN113221151A (en) | Data processing method and device based on block chain and storage medium | |
| CN113992334B (en) | Storage method and verification method and device of equipment side data and electronic equipment | |
| CN111953546A (en) | Internet of things equipment management method based on block chain system and intelligent home system | |
| CN110910091A (en) | Data processing method, device and medium | |
| CN111680111B (en) | Billing method and device, computer equipment and computer readable storage medium | |
| CN115983964B (en) | Method, controller, device and medium for preprocessing IC data | |
| Mpufane et al. | The lure of the quick technological fix: Blockchain and the case of Cobalt |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |