CN113159672A - Industrial automation management system and method based on block chain - Google Patents
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Abstract
The invention provides an industrial automatic management system and method based on a block chain, wherein the system comprises: the information acquisition module is used for acquiring the production raw material information of the preset node and acquiring the parameter information of the corresponding production equipment; the analysis and judgment module is used for judging whether the production process is started or suspended automatically according to the production raw material information and the production equipment parameter information, analyzing the production raw material information and the equipment parameter information according to a preset rule and recording an analysis result; and the product marking module is used for adding production raw material information and production equipment parameter information for each product or the same batch of products according to the product serial number. Through the scheme, the problems of overlarge load and data congestion of the traditional central server can be avoided, the automatic production line of a factory is orderly and efficiently managed, the node data interaction is facilitated, and the data analysis and processing efficiency is improved.
Description
Technical Field
The invention relates to the technical field of block chains, in particular to an industrial automatic management system and method based on a block chain.
Background
With the rapid development of the information technology, an unmanned factory will become a future development trend, a new application demand is provided for the management of the unmanned automatic factory, the management of factory automation needs to realize accurate control on each production link, and data information of each production link needs to be acquired in real time so as to perform accurate regulation and control analysis, problem early warning and positioning.
Most of the current industrial production line management is to transmit information of each production link to a central server, and the central server performs recording analysis.
Disclosure of Invention
In view of this, embodiments of the present invention provide a block chain-based industrial automation management system and method, so as to solve the problem that the central server load of the existing large-scale factory automation management is large.
In a first aspect of embodiments of the present invention, an industrial automation management system based on a block chain is provided, including:
the information acquisition module is used for acquiring the production raw material information of the preset node and acquiring the parameter information of the corresponding production equipment;
the analysis and judgment module is used for judging whether the production process is started or suspended automatically according to the production raw material information and the production equipment parameter information, analyzing the production raw material information and the production equipment parameter information according to a preset rule and recording an analysis result;
and the product marking module is used for adding production raw material information and production equipment parameter information for each product or the same batch of products according to the product serial number.
In a second aspect of the embodiments of the present invention, there is provided an industrial automation management method based on a block chain, including:
acquiring production raw material information of a preset node, and acquiring parameter information of corresponding production equipment;
judging whether the production process is started or suspended automatically according to the production raw material information and the production equipment parameter information, analyzing the production raw material information and the production equipment parameter information according to a preset rule, and recording an analysis result;
and adding production raw material information and production equipment parameter information for each product or the same batch of products according to the product serial number.
In a third aspect of the embodiments of the present invention, there is provided an electronic device, which at least includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the steps of the method according to the first aspect of the embodiments of the present invention are implemented.
In a fourth aspect of the embodiments of the present invention, a computer-readable storage medium is provided, in which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the method provided in the first aspect of the embodiments of the present invention.
In the embodiment of the invention, the production raw material information of the preset node and the parameter information of the corresponding production equipment are obtained; and judging whether the production process is started or suspended automatically according to the production raw material information and the production equipment parameter information, analyzing the production raw material information and the equipment parameter information, and adding the production raw material information and the production equipment parameter information to the product. The intelligent management system can realize the efficient intelligent management of an industrial automation factory, avoid the problem of overlarge service load of a traditional center, reduce data congestion, conveniently and quickly acquire production line production information, improve the data analysis and processing efficiency and be favorable for production line information interaction and resource allocation.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an industrial automation management system based on a blockchain according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of another block chain-based industrial automation management system according to an embodiment of the present invention;
fig. 3 is a flowchart illustrating an industrial automation management method based on a blockchain according to an embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "comprises" and "comprising," when used in this specification and claims, and in the accompanying drawings and figures, are intended to cover non-exclusive inclusions, such that a process, method or system, or apparatus that comprises a list of steps or elements is not limited to the listed steps or elements. In addition, "first" and "second" are used to distinguish different objects, and are not used to describe a specific order.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an industrial automation management system based on a block chain according to an embodiment of the present invention, including:
the information acquisition module 110 is configured to acquire production raw material information of a preset node and acquire parameter information of corresponding production equipment;
the production raw material information refers to raw material information for industrial production, and the raw material may refer to a raw material in a natural form directly obtained, or may refer to a material or a semi-finished product formed after processing. Raw material information can be obtained from preset warehouse nodes or feed inlet nodes, and when an enterprise purchases raw materials, the raw material information needs to be collected for storage. The raw material information may include raw material type, quantity, price, supplier, etc.
The parameter information of the production equipment refers to equipment information and control parameter information participating in the process production flow of the current production line, and the control parameter information, such as the rotating speed of a roller of a conveying belt, the temperature of an industrial hot air blower and the like, can be stored in a general control system when a control command is issued or the equipment is automatically produced.
Preferably, the information obtaining module 110 further includes;
the warehouse management module is used for recording warehouse-in information and warehouse-out information of warehouse production raw materials and dynamically analyzing the warehouse production raw materials so as to allocate the raw materials and purchase the raw materials among various warehouses, the warehouse-in information of the production raw materials at least comprises raw material numbers, warehouse-in types, warehouse-in quantity, prices, suppliers and dates, and the warehouse-out information of the production raw materials at least comprises dates, raw material numbers, warehouse-out types, warehouse-out quantity, prices, suppliers and purposes. It will be appreciated that for raw materials that are not quantifiable in bulk form, the numbering may be done in batches.
Further, the reference management module further includes a product warehouse for storing the produced products, and records warehousing and ex-warehouse information of the products at a product warehouse node, where the warehousing information includes product numbers/batches, product types, product quantities, dates, and the ex-warehouse information may include product numbers/batches, product types, product quantities, dealers, dates, and the like.
The analysis and judgment module 120 is used for judging whether the production process is started or suspended automatically according to the production raw material information and the production equipment parameter information, analyzing the production raw material information and the production equipment parameter information according to a preset rule, and recording an analysis result;
and judging whether the production process can be started or suspended according to the production raw material information and the production equipment parameter information acquired in real time, and feeding back a judgment result to the control system so as to control the starting, suspending or maintaining of the production process.
If the type or the batch of the raw materials for production is judged to be unqualified, the production process is not started or suspended;
if the production parameters of the raw materials or the equipment are not consistent with the target production task, the production process is not started or suspended.
The collected production raw material information and the production equipment parameter information can be analyzed in a node server of the production line, and an analysis result is stored. In one embodiment, as shown in fig. 2, collected production raw material information, equipment parameter information, and product information may all be sent to a node server, and the node server performs analysis and storage, and when the rest servers need to acquire information of production lines of each node, data may be directly requested from the node server.
Preferably, the quantity of producible finished products and the resource consumption are calculated according to the production raw material information and the production equipment parameter information, and the product qualification rate is estimated. The resource consumption refers to the amount of raw materials consumed by the current production line (recyclable raw materials need to be considered), the electric quantity and other resources participating in production, so as to count the production cost and optimize the resource allocation. The estimated product qualification rate is the product qualification rate estimated based on the current production conditions, and can also represent the qualification rate obtained by primarily counting the number of finished products, and the estimated qualification rate is calibrated to optimize the prediction result when the product is inspected at the later stage.
The method comprises the steps of recording production raw material information, production equipment parameter information and production product information, broadcasting and sending the information to a production line node server, and performing production line data statistical analysis through the node server.
And the product marking module 130 is used for adding production raw material information and production equipment parameter information to each product or the same batch of products according to the product serial number.
Product information is recorded, including product numbers, batches, quantities, dates and the like, and marks can be added to the products to trace the product information, such as specific coded character strings, bar codes, two-dimensional codes and the like. Illustratively, based on the specific coded character string, the information corresponding to the product can be output after being automatically recognized by the system or being manually input. And storing the product information and the specific coding information to the node server.
It can be understood that, for multiple production lines, the above-mentioned products may not refer to the products sold in the final shipment, but may refer to semi-finished products obtained on the production lines or a certain product form formed after being processed by a certain production line process, and the raw materials are processed by multiple production lines to obtain the final products sold in the shipment after being processed by multiple production lines.
The method provided by the embodiment realizes the high-efficiency management of the automatic production line of the large-scale factory, ensures the orderly transmission and processing of data, avoids the overlarge load of the central server, and can realize the rapid processing of the data based on the node server.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, but should not constitute any limitation to the implementation process of the embodiments of the present invention,
fig. 3 is a schematic flowchart of an industrial automation management method based on a block chain according to an embodiment of the present invention, where the method includes:
s301, acquiring production raw material information of a preset node, and acquiring parameter information of corresponding production equipment;
in one embodiment, the obtaining of the information of the raw material for production of the preset node further includes:
the warehouse-in information and warehouse-out information of warehouse production raw materials are recorded, and the warehouse production raw materials are dynamically analyzed so as to allocate raw materials among warehouses and purchase raw materials, the warehouse-in information of the production raw materials at least comprises raw material numbers, warehouse-in types, warehouse-in quantity, prices and suppliers, and the warehouse-out information of the production raw materials at least comprises raw material numbers, warehouse-out types, warehouse-out quantity, prices, suppliers and purposes.
S302, judging whether the production process is started or suspended automatically according to the production raw material information and the production equipment parameter information, analyzing the production raw material information and the production equipment parameter information according to a preset rule, and recording an analysis result;
in one embodiment, if the type or lot of raw materials to be produced is determined to be unacceptable, the production process is not started or halted;
if the production parameters of the raw materials or the equipment are not consistent with the target production task, the production process is not started or suspended.
Optionally, the quantity of producible finished products and the resource consumption are calculated according to the production raw material information and the production equipment parameter information, and the product qualification rate is estimated.
In one embodiment, production raw material information, production equipment parameter information and production product information are recorded and are broadcast to the production line node servers, and production line data statistical analysis is carried out through the node servers.
And S303, adding production raw material information and production equipment parameter information for each product or the same batch of products according to the product serial number.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
It is understood that, in one embodiment, the electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program performs steps S201 to S203 in the first embodiment, and the processor implements industrial automation management when executing the computer program.
It will be understood by those skilled in the art that all or part of the steps in the method for implementing the above embodiments may be implemented by instructing the relevant hardware through a program, where the program may be stored in a computer-readable storage medium, and when executed, the program includes steps S201 to S203, and the storage medium includes, for example, ROM/RAM.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. An industrial automation management system based on a blockchain, comprising:
the information acquisition module is used for acquiring the production raw material information of the preset node and acquiring the parameter information of the corresponding production equipment;
the analysis and judgment module is used for judging whether the production process is started or suspended automatically according to the production raw material information and the production equipment parameter information, analyzing the production raw material information and the production equipment parameter information according to a preset rule and recording an analysis result;
and the product marking module is used for adding production raw material information and production equipment parameter information for each product or the same batch of products according to the product serial number.
2. The system of claim 1, wherein the information acquisition module further comprises;
the warehouse management module is used for recording warehouse-in information and warehouse-out information of warehouse production raw materials and dynamically analyzing the warehouse production raw materials so as to allocate the raw materials among all warehouses and purchase the raw materials, the warehouse-in information of the production raw materials at least comprises raw material numbers, warehouse-in types, warehouse-in quantity, prices and suppliers, and the warehouse-out information of the production raw materials at least comprises raw material numbers, warehouse-out types, warehouse-out quantity, prices, suppliers and purposes.
3. The system of claim 1, wherein the determining whether to self-start or suspend the production process based on the production raw material information and the production equipment parameter information comprises:
if the type or the batch of the raw materials for production is judged to be unqualified, the production process is not started or suspended;
if the production parameters of the raw materials or the equipment are not consistent with the target production task, the production process is not started or suspended.
4. The system of claim 1, wherein analyzing the production raw material information and the production equipment parameter information according to the predetermined rule comprises:
and calculating the quantity of producible finished products and the resource consumption according to the production raw material information and the production equipment parameter information, and estimating the product percent of pass.
5. The system of claim 1, wherein the analyzing the raw material information and the equipment parameter information according to the predetermined rule, and the recording the analysis result further comprises:
and recording production raw material information, production equipment parameter information and production product information, broadcasting and sending the information to a production line node server, and performing production line data statistical analysis through the node server.
6. An industrial automation management method based on a block chain is characterized by comprising the following steps:
acquiring production raw material information of a preset node, and acquiring parameter information of corresponding production equipment;
judging whether the production process is started or suspended automatically according to the production raw material information and the production equipment parameter information, analyzing the production raw material information and the production equipment parameter information according to a preset rule, and recording an analysis result;
and adding production raw material information and production equipment parameter information for each product or the same batch of products according to the product serial number.
7. The method according to claim 6, wherein the obtaining of the production raw material information of the preset node further comprises:
the warehouse-in information and warehouse-out information of warehouse production raw materials are recorded, and the warehouse production raw materials are dynamically analyzed so as to allocate raw materials among warehouses and purchase raw materials, the warehouse-in information of the production raw materials at least comprises raw material numbers, warehouse-in types, warehouse-in quantity, prices and suppliers, and the warehouse-out information of the production raw materials at least comprises raw material numbers, warehouse-out types, warehouse-out quantity, prices, suppliers and purposes.
8. The method of claim 6, wherein the determining whether to self-start or suspend the production process based on the production raw material information and the production equipment parameter information comprises:
if the type or the batch of the raw materials for production is judged to be unqualified, the production process is not started or suspended;
if the production parameters of the raw materials or the equipment are not consistent with the target production task, the production process is not started or suspended.
9. The method of claim 6, wherein analyzing the production raw material information and the production equipment parameter information according to the predetermined rule comprises:
and calculating the quantity of producible finished products and the resource consumption according to the production raw material information and the production equipment parameter information, and estimating the product percent of pass.
10. The method of claim 6, wherein analyzing the raw material information and the equipment parameter information according to a predetermined rule, and recording the analysis result further comprises:
and recording production raw material information, production equipment parameter information and production product information, broadcasting and sending the information to a production line node server, and performing production line data statistical analysis through the node server.
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| CN111984981A (en) * | 2020-08-20 | 2020-11-24 | 安徽游川网络科技有限公司 | Industrial automation intelligence manufacturing system based on block chain technique |
| CN112435040A (en) * | 2020-11-23 | 2021-03-02 | 滁州学院 | Block chain based product production and use track tracing method |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104765322A (en) * | 2014-01-02 | 2015-07-08 | 齐齐哈尔轨道交通装备有限责任公司 | Production line monitoring system |
| CN107578251A (en) * | 2017-08-07 | 2018-01-12 | 严东军 | Process of producing product quality tracing system and method |
| CN110502920A (en) * | 2019-07-16 | 2019-11-26 | 深圳拓谱信息技术有限公司 | Production task based on block chain executes method, apparatus and equipment |
| CN111984981A (en) * | 2020-08-20 | 2020-11-24 | 安徽游川网络科技有限公司 | Industrial automation intelligence manufacturing system based on block chain technique |
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Application publication date: 20210723 |