CN112434113A - MES system identification analysis data management system and method - Google Patents
MES system identification analysis data management system and method Download PDFInfo
- Publication number
- CN112434113A CN112434113A CN202011447946.4A CN202011447946A CN112434113A CN 112434113 A CN112434113 A CN 112434113A CN 202011447946 A CN202011447946 A CN 202011447946A CN 112434113 A CN112434113 A CN 112434113A
- Authority
- CN
- China
- Prior art keywords
- data
- identification
- encrypted
- identification data
- mes system
- 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.)
- Granted
Links
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
- 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
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2228—Indexing structures
- G06F16/2255—Hash tables
-
- 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
- G06F16/23—Updating
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/602—Providing cryptographic facilities or services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
- G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
-
- 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)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Software Systems (AREA)
- Bioethics (AREA)
- Computer Security & Cryptography (AREA)
- Computer Hardware Design (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- Storage Device Security (AREA)
Abstract
The invention relates to a system and a method for managing MES system identification analysis data. The MES system identifier analysis data management system provides calculation and storage capacity of an edge side by arranging an edge calculation module, so that the calculation efficiency of identifier analysis can be improved, and the data management capacity is enhanced; by setting the client network, a unified data element identification database can be set up, and the flexibility and the expansibility of the database are improved while the storage and calculation pressure of a cloud server is reduced; the data is stored in a distributed mode by adopting a block chain technology, and the analyzed data to be encrypted is encrypted by adopting an asymmetric encryption algorithm, so that the data privacy and the security of enterprises are guaranteed, the data communication among different enterprises is guaranteed safely, and the data query and tracing efficiency is improved; the IPFS file storage module is used for storing the identification analysis data, so that the data is not easy to lose, and meanwhile, due to the P2P technology, the query efficiency and the downloading speed are guaranteed.
Description
Technical Field
The invention relates to the field of MES data management, in particular to a system and a method for managing MES system identification analysis data.
Background
With the development of artificial intelligence, internet of things technology and 5G, industrial internet, intelligent manufacturing and the like become emerging research fields in the current industry. Industrial internet identity is a key network infrastructure resource and a key network infrastructure resource, and is also the central nervous system of the industrial internet. Establishing a uniform identification analysis system is an important basis for the development of the industrial internet. Industrial internet technology links uniquely identifiable industrial system objects while providing services to the outside based on interaction and collaboration of the networked objects (physical objects or virtual objects). Accordingly, industrial internet identification techniques to uniquely distinguish different networked objects are a prerequisite for the development, deployment, and operation of large-scale applications and services.
Most of the existing industrial internet identification technologies pay attention to services such as easy upgrading, distributed naming and addressing, and the like, while the importance of security is ignored to a certain extent. The security problem related to the industrial internet identification technology comprises the following aspects: in the process of retrieval and analysis, access verification is carried out on naming and identification data; authorization of access rights to the identification data, and of the naming and addressing information; tamper-proofing of named and addressed data; in industrial internet applications, data exchange between servers is encrypted; intercepting the access data packet, namely manipulating the IP data packet carrying naming or addressing information; caching viruses, namely changing information and query records in the execution process of a naming system in a cache; denial of service resulting from manipulating industrial internet identification services; the associated risk of naming assignments, such as tampering with the identifier, etc.
Based on this, it is highly desirable to provide an industrial internet identification technology capable of implementing the above security function to improve the security and reliability of large-scale industrial internet applications and services.
Disclosure of Invention
The invention aims to provide a system and a method for managing MES system identification analysis data so as to improve the safety and reliability of large-scale industrial Internet application and service.
In order to achieve the purpose, the invention provides the following scheme:
an MES system identity resolution data management system, comprising:
the client network is used for acquiring the identification data inside a plurality of enterprises;
the edge calculation module is respectively connected with the client network and the block chain link point module, and is used for analyzing the identification data to obtain identification analysis data and dividing the identification analysis data into data to be encrypted and sharable data;
the block chain link point module is respectively connected with the client network and the edge calculation module and is used for encrypting the analyzed data to be encrypted by adopting an asymmetric encryption algorithm;
the IPFS file storage module is respectively connected with the client network and the block chain node module, and is used for storing the encrypted data to be encrypted and the sharable data and generating a storage address by adopting a Hash value algorithm; the memory address comprises a plurality of Hash values; and each Hash value corresponds to an internal identification data storage address of an enterprise.
Preferably, the client network comprises:
a plurality of identification data acquisition units for acquiring the identification data;
and the client nodes are respectively connected with the identification data acquisition unit and the edge calculation module and are used for acquiring the identification data in a plurality of enterprises.
Preferably, the edge calculation module includes:
and the edge computing units are connected with the client nodes in a one-to-one correspondence manner, and are used for analyzing the identification data to obtain identification analysis data and classifying the identification analysis data according to the type of the identification data to obtain data to be encrypted and sharable data.
Preferably, the block chain node module includes:
the plurality of block chain nodes are respectively connected with the client node and the edge computing unit, are used for encrypting the analyzed data to be encrypted by adopting an asymmetric encryption algorithm, and are used for feeding back the encrypted analyzed data to the client node according to a consensus mechanism so that an enterprise can synchronously update and register the identification data in the client node; the sharing mechanism is a sharing protocol uniformly established among enterprises.
Preferably, the client node further comprises:
the identity information acquisition unit is used for acquiring identity information of users in the enterprise; the identity information comprises a login account and a login password;
and the query verification unit is respectively connected with the identity information acquisition unit and the IPFS file storage module and is used for querying the identification data stored in the IPFS file storage module according to the identity information.
Preferably, the client node further comprises:
and the storage unit is connected with the identification data acquisition unit and used for temporarily storing the acquired identification data.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
according to the MES system identifier analysis data management system, the edge computing module is arranged to provide computing and storage capacity of the edge side, so that the computing efficiency of identifier analysis can be improved, and the data management capacity is enhanced; by setting the client network, a unified data element identification database can be set up, and the flexibility and the expansibility of the database are improved while the storage and calculation pressure of a cloud server is reduced; the data is stored in a distributed mode by adopting a block chain technology, and the analyzed data to be encrypted is encrypted by adopting an asymmetric encryption algorithm, so that the data privacy and the security of enterprises are guaranteed, the data communication among different enterprises is guaranteed safely, and the data query and tracing efficiency is improved; the IPFS file storage module is used for storing the identification analysis data, so that the data is not easy to lose, and meanwhile, due to the P2P technology, the query efficiency and the downloading speed are guaranteed.
Corresponding to the MES system identification analysis data management system, the invention also provides an MES system identification analysis data management method, which comprises the following steps:
the MES system identification analysis data management method comprises the following steps:
acquiring identification data inside a plurality of enterprises;
analyzing the identification data to obtain identification analysis data, and dividing the identification analysis data into data to be encrypted and sharable data;
encrypting the data to be encrypted by adopting a block chain based on a public key;
storing the encrypted data to be encrypted and the data which can be shared, and generating a storage address by adopting a Hash value algorithm; the memory address comprises a plurality of Hash values; and each Hash value corresponds to an internal identification data storage address of an enterprise.
Preferably, the acquiring the identification data inside the plurality of enterprises specifically includes:
collecting the identification data by an identification data collecting unit;
and respectively acquiring the identification data inside the enterprises by adopting a plurality of client nodes.
Preferably, after encrypting the data to be encrypted based on a public key by using the blockchain, the method further includes:
feeding back the encrypted analysis data to the enterprise according to a consensus mechanism so that the enterprise can synchronously update and register the identification data in the enterprise; the sharing mechanism is a sharing protocol uniformly established among enterprises.
Preferably, the method further comprises the following steps:
acquiring identity information of users in an enterprise; the identity information comprises a login account and a login password;
and inquiring the identification data stored in the IPFS file storage module according to the identity information.
The technical effect of the method for managing the MES system identifier analysis data provided by the invention is the same as that of the MES system identifier analysis data management system provided by the invention, and the method is not repeated herein.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a schematic structural diagram of an MES system ID parsing data management system provided by the present invention;
FIG. 2 is a flow chart of a MES system ID parsing data management method provided by the present invention;
FIG. 3 is a schematic structural diagram of an MES system ID parsing data management system according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a client node according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments 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 invention aims to provide a system and a method for managing MES system identification analysis data so as to improve the safety and reliability of large-scale industrial Internet application and service.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
As shown in fig. 1, the MES system identifier resolution data management system provided by the present invention includes: the system comprises a client network 1, an edge calculation module 2, a block chain link point module 3 and an IPFS file storage module 4.
The client network 1 is configured to obtain identification data inside a plurality of enterprises.
The edge calculation module 2 is connected with the client network 1, and is configured to analyze the identifier data to obtain identifier analysis data, and divide the identifier analysis data into data to be encrypted and sharable data.
The block chain node module 3 is respectively connected with the client network 1 and the edge calculation module 2, and is used for encrypting the analyzed data to be encrypted by adopting an asymmetric encryption algorithm.
And the IPFS file storage module 4 is respectively connected with the client network 1 and the block chain link point module 3, and is used for storing encrypted data to be encrypted and sharable data, generating a storage address by adopting a Hash value algorithm, and returning the Hash value to the corresponding block chain node for storage. The memory address comprises a plurality of Hash values. Each Hash value corresponds to an internal identification data storage address of the enterprise.
The IPFS file storage module forms a Hash value table for the Hash values of all files, and when the files are inquired, the file contents are determined by inquiring the corresponding Hash values.
Preferably, the client network 1 includes: a plurality of identification data collection units and a plurality of client nodes.
The plurality of identification data acquisition units are used for acquiring identification data.
The plurality of client nodes respectively deployed in different enterprises are respectively connected with the identification data acquisition unit and the edge calculation module 2, and are used for acquiring identification data in the enterprises.
By arranging the plurality of client nodes, a unified data element identification database can be built, and the flexibility and the expansibility of the database are improved while the storage and calculation pressure of the cloud server is reduced.
Preferably, the edge calculation module 2 includes: a plurality of edge calculation units.
The edge computing units are connected with the client nodes in a one-to-one correspondence mode and used for analyzing the identification data to obtain identification analysis data and classifying the identification analysis data according to the type of the identification data to obtain data to be encrypted and sharable data.
Through setting up a plurality of edge calculation units, can resolve the inside identification data of enterprise respectively, promoted the analytic computational efficiency of sign.
Preferably, the block chain node module 3 includes: a plurality of blockchain nodes.
The plurality of block chain nodes are respectively connected with the client node and the edge computing unit, and are used for encrypting data to be encrypted by adopting a public key and feeding back the encrypted analysis data to the client node according to a consensus mechanism so that an enterprise can synchronously update and register the identification data in the enterprise. The sharing mechanism is a sharing protocol uniformly established among enterprises.
Based on the setting of the block chain nodes, the data management capability can be enhanced while the edge storage capability can be improved. Moreover, the data is encrypted and stored in a distributed mode by adopting a block chain technology, so that the data privacy and the security of enterprises are guaranteed, meanwhile, the data communication among different enterprises is guaranteed safely, and the data query and tracing efficiency is improved.
Preferably, the client node further comprises: the device comprises an identity information acquisition unit and an inquiry verification unit.
The identity information acquisition unit is used for acquiring identity information of users in the enterprise. The identity information comprises a login account and a login password.
The query and verification unit is respectively connected with the identity information acquisition unit and the IPFS file storage module and is used for querying the identification data stored in the IPFS file storage module according to the identity information.
Preferably, the client node may further include: and a memory unit.
The storage unit is connected with the identification data acquisition unit and is used for temporarily storing the acquired identification data.
Preferably, the client node may further include: and a communication transmission module.
The communication transmission module is used for receiving the identification data acquired by the identification data acquisition module. And realizing communication and data transmission with the edge computing equipment, the block chain node and the IPFS file storage module.
Corresponding to the above mentioned MES system identification analysis data management system, the present invention also provides an MES system identification analysis data management method, as shown in fig. 2, the MES system identification analysis data management method includes:
step 100: identification data within a plurality of enterprises is obtained.
Step 101: and analyzing the identification data to obtain identification analysis data, and dividing the identification analysis data into data to be encrypted and sharable data.
Step 102: and encrypting the analyzed data to be encrypted by adopting an asymmetric encryption algorithm.
Step 103: and storing the encrypted data to be encrypted and the shared data, and generating a storage address by adopting a Hash value algorithm. The memory address comprises a plurality of Hash values. Each Hash value corresponds to an internal identification data storage address of the enterprise.
Preferably, the step 100 specifically includes:
and acquiring identification data by using an identification data acquisition unit.
And respectively acquiring the identification data inside the enterprises by adopting a plurality of client nodes.
Preferably, after step 102, the MES system id parsing data management method further includes:
and feeding back the encrypted analysis data to the enterprise according to a consensus mechanism so that the enterprise can synchronously update and register the identification data in the enterprise. The sharing mechanism is a sharing protocol uniformly established among enterprises.
Preferably, the MES system identifier resolution data management method may further include:
and acquiring the identity information of the users in the enterprise. The identity information comprises a login account and a login password.
And inquiring the identification data stored in the IPFS file storage module according to the identity information.
Specifically, the specific process of querying the stored identification data is as follows:
when the data needs to be inquired, the user acquires corresponding identification data.
And finding a corresponding Hash value in the block chain through a query verification module of the client node according to the identification data.
And the client node finds corresponding data in the IPFS file storage module according to the Hash value, and downloads the data and returns the data to the client node.
And the user performs identity authentication in the query authentication module. If the identification data is shared, the user can directly obtain the identification data. Otherwise, the user can acquire the data only by decrypting the corresponding private key during encryption.
The following provides a specific embodiment to further illustrate the solution of the present invention, and in a specific application, the solution of the present invention is also applicable to the identification resolution data management of other MES system architectures.
In this embodiment of the present invention, the MES system identifier resolution data management system provided above is further detailed as follows:
as shown in fig. 3, the MES system identification resolution data management system includes: the system comprises an identification data acquisition module, a client node and an IPFS file storage module.
The identification data acquisition module is used for performing MES system identification data acquisition in an enterprise to acquire enterprise private identification data and sharable identification data.
The client node is connected with the edge computing equipment and the block chain link points and used for receiving the data collected by the data collection module. The client node processes the collected identification data through the edge computing device, and divides the processed identification analysis data into data to be encrypted and sharable data. And the block chain node encrypts the analyzed data to be encrypted by combining the public key through an asymmetric encryption algorithm. And the client node uploads all the identification analysis data to an IPFS file storage module for storage. And the IPFS file storage module returns the Hash value generated by the file to the corresponding block chain node for storage. And each block link point uploads all the representation analysis data to the client network according to a consensus mechanism to synchronously update and register the data, and the whole client network forms a uniform data element identification database. The client node is used for identity verification when the user queries data through the query verification module.
And the IPFS file storage module is used for storing the identification analysis data. And generating a unique Hash value serving as a corresponding data address by adopting a Hash algorithm, and returning the Hash value to the corresponding block chain node for storage. The IPFS file storage module forms a Hash value table for the Hash values of all files, and when the files are inquired, the file contents are determined by inquiring the corresponding Hash values.
The specific structure of the client node is shown in fig. 4, which includes a communication transmission module, a storage module and an inquiry verification module, and is connected with the edge computing device and the block link point.
And the communication transmission module is used for receiving the identification data acquired by the identification data acquisition module. And realizing communication and data transmission with the edge computing equipment, the block chain node and the IPFS file storage module.
And the storage module is used for temporarily storing the received data.
And the query verification module is used for querying the corresponding Hash value in the block chain by the user according to the identification data. Authentication is performed when the query data file is returned to the client node. If the identification data is shared, the user can directly obtain the identification data. Otherwise, the user can acquire the data only by decrypting the corresponding private key during encryption.
Based on the system provided by the invention, in the specific implementation process, the process of managing and querying the identification analysis data of the MES system is as follows:
A. the specific process of managing the identification analysis data is as follows:
step 1: and respectively arranging client nodes in different enterprises, wherein the client nodes are connected with the edge computing equipment and the block chain link points. And connecting each client node to form a client network.
In an implementation, for client nodes of the same enterprise, corresponding edge computing devices, block link points, are connected. And connecting client nodes of different enterprises to form a client network.
Step 2: the identification data acquisition module acquires identification data inside an enterprise and uploads the data to the client node, and the edge computing equipment analyzes the identification data acquired in the client node to obtain corresponding identification analysis data. And according to the type of the identification data, the identification analysis data is divided into data to be encrypted and sharable data and transmitted back to the client node.
In a specific implementation, the identification data includes: non-standard identification data, industrial equipment data, production product identification data and the like in the enterprise.
In a specific implementation, the identification data types are divided into enterprise private identification data and sharable identification data.
And step 3: and the block chain node encrypts the data to be encrypted analyzed in the client node by combining the public key through an asymmetric encryption algorithm and then transmits the data to the client node.
And 4, step 4: and the client node uploads all the identification analysis data to the IPFS file storage module for storage, and meanwhile, the IPFS file storage module generates a unique Hash value as an address by adopting a Hash algorithm and returns the Hash value to the corresponding block chain node for storage.
In specific implementation, the IPFS file storage module forms a Hash value table for Hash values of all files, and determines file contents by querying corresponding Hash values when querying files.
And 5: and each block link point uploads all the representation analysis data to the client network according to a consensus mechanism to synchronously update and register the data, and the whole client network forms a uniform data element identification database.
In the specific implementation, the link points of each block are identified by an identification mechanism, each node has complete identification analysis data, and the whole client network builds a uniform data element identification database.
In the specific implementation, the consensus mechanism uniformly establishes corresponding protocols among enterprises in the MES system.
B. The process of querying the stored identification data is:
step 1: when the data needs to be inquired, the user acquires corresponding identification data.
In particular implementations, a user may obtain identification data information by scanning corresponding two-dimensional codes, bar codes, and the like within an enterprise
Step 2: and finding a corresponding Hash value in the block chain through a query verification module according to the identification data.
And step 3: and the client node finds corresponding data in the IPFS file storage module according to the Hash value, and downloads the data and returns the data to the client node.
And 4, step 4: and the user performs identity authentication in the query authentication module. If the identification data is shared, the user can directly obtain the identification data. Otherwise, the user can acquire the data only by decrypting the corresponding private key during encryption.
In summary, the MES system identifier parsing data management system and method provided by the present invention have the following advantages compared with the prior art:
1. by deploying client nodes in an enterprise and setting edge computing equipment and block chain nodes, computing and storage capacity of an edge side is provided, computing efficiency of identification analysis is improved, and data management capacity is enhanced.
2. The client network is formed by connecting the client nodes, and the unified data element identification database is built, so that the storage and calculation pressure of the cloud server is reduced, and the flexibility and the expansibility of the database are improved.
3. The block chain technology is adopted to encrypt and store data in a distributed mode, so that the data privacy and the security of enterprises are guaranteed, meanwhile, the data communication among different enterprises is guaranteed safely, and the data query and tracing efficiency is improved.
4. The IPFS file storage system is used for storing the identification analysis data, so that the data is not easy to lose, and meanwhile, due to the P2P technology, the query efficiency and the downloading speed are guaranteed.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (10)
1. An MES system identifier resolution data management system, comprising:
the client network is used for acquiring the identification data inside a plurality of enterprises;
the edge calculation module is respectively connected with the client network and the block chain link point module, and is used for analyzing the identification data to obtain identification analysis data and dividing the identification analysis data into data to be encrypted and sharable data;
the block chain link point module is respectively connected with the client network and the edge calculation module and is used for encrypting the analyzed data to be encrypted by adopting an asymmetric encryption algorithm;
the IPFS file storage module is respectively connected with the client network and the block chain node module, and is used for storing the encrypted data to be encrypted and the sharable data and generating a storage address by adopting a Hash value algorithm; the memory address comprises a plurality of Hash values; and each Hash value corresponds to an internal identification data storage address of an enterprise.
2. The MES system identification resolution data management system of claim 1, wherein the client network comprises:
a plurality of identification data acquisition units for acquiring the identification data;
and the client nodes are respectively connected with the identification data acquisition unit and the edge calculation module and are used for acquiring the identification data in a plurality of enterprises.
3. The MES system identification resolution data management system of claim 2, wherein the edge calculation module comprises:
and the edge computing units are connected with the client nodes in a one-to-one correspondence manner, and are used for analyzing the identification data to obtain identification analysis data and classifying the identification analysis data according to the type of the identification data to obtain data to be encrypted and sharable data.
4. The MES system identification resolution data management system of claim 3, wherein the blockchain node module comprises:
the plurality of block chain nodes are respectively connected with the client node and the edge computing unit, are used for encrypting the analyzed data to be encrypted by adopting an asymmetric encryption algorithm, and are used for feeding back the encrypted analyzed data to the client node according to a consensus mechanism so that an enterprise can synchronously update and register the identification data in the client node; the sharing mechanism is a sharing protocol uniformly established among enterprises.
5. The MES system identification resolution data management system of claim 2, wherein the client node further comprises:
the identity information acquisition unit is used for acquiring identity information of users in the enterprise; the identity information comprises a login account and a login password;
and the query verification unit is respectively connected with the identity information acquisition unit and the IPFS file storage module and is used for querying the identification data stored in the IPFS file storage module according to the identity information.
6. The MES system identification resolution data management system of claim 2, wherein the client node further comprises:
and the storage unit is connected with the identification data acquisition unit and used for temporarily storing the acquired identification data.
7. A MES system identification analysis data management method is characterized by comprising the following steps:
acquiring identification data inside a plurality of enterprises;
analyzing the identification data to obtain identification analysis data, and dividing the identification analysis data into data to be encrypted and sharable data;
encrypting the data to be encrypted by adopting a block chain based on a public key;
storing the encrypted data to be encrypted and the data which can be shared, and generating a storage address by adopting a Hash value algorithm; the memory address comprises a plurality of Hash values; and each Hash value corresponds to an internal identification data storage address of an enterprise.
8. The MES system identifier resolution data management method of claim 7, wherein the obtaining of the identifier data within the plurality of enterprises specifically comprises:
collecting the identification data by an identification data collecting unit;
and respectively acquiring the identification data inside the enterprises by adopting a plurality of client nodes.
9. The MES system identifier resolution data management method of claim 7, wherein after encrypting the data to be encrypted based on a public key using a blockchain, the MES system identifier resolution data management method further comprises:
feeding back the encrypted analysis data to the enterprise according to a consensus mechanism so that the enterprise can synchronously update and register the identification data in the enterprise; the sharing mechanism is a sharing protocol uniformly established among enterprises.
10. The MES system identification resolution data management method of claim 7, further comprising:
acquiring identity information of users in an enterprise; the identity information comprises a login account and a login password;
and inquiring the identification data stored in the IPFS file storage module according to the identity information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011447946.4A CN112434113B (en) | 2020-12-09 | 2020-12-09 | MES system identification analysis data management system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011447946.4A CN112434113B (en) | 2020-12-09 | 2020-12-09 | MES system identification analysis data management system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112434113A true CN112434113A (en) | 2021-03-02 |
| CN112434113B CN112434113B (en) | 2023-02-28 |
Family
ID=74692137
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011447946.4A Active CN112434113B (en) | 2020-12-09 | 2020-12-09 | MES system identification analysis data management system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112434113B (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113112086A (en) * | 2021-04-22 | 2021-07-13 | 北京邮电大学 | Intelligent production system based on edge calculation and identification analysis |
| CN113127517A (en) * | 2021-04-22 | 2021-07-16 | 云上青海大数据产业有限公司 | Storage system based on block chain big data |
| CN113704786A (en) * | 2021-08-25 | 2021-11-26 | 重庆沄析工业互联网有限公司 | Supply chain management method based on industrial internet identification analysis |
| CN113938498A (en) * | 2021-09-18 | 2022-01-14 | 北京航空航天大学 | Block chain mode combining identification analysis index cloud and hierarchical peer-to-peer network |
| CN115297140A (en) * | 2022-07-26 | 2022-11-04 | 广东海顿供热技术有限公司 | System and method for tracing production information of cloud product and intelligent device |
| CN114979070B (en) * | 2022-05-24 | 2023-04-28 | 珠海复旦创新研究院 | Industrial Internet identification analysis caching system and method based on edge calculation |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110233868A (en) * | 2019-04-20 | 2019-09-13 | 北京工业大学 | A kind of edge calculations data safety and method for secret protection based on Fabric |
| US20190325432A1 (en) * | 2018-04-24 | 2019-10-24 | Duvon Corporation | Autonomous exchange via entrusted ledger key management |
| CN110879902A (en) * | 2019-11-25 | 2020-03-13 | 北京工商大学 | Grain, oil and food full supply chain information safety management system and method based on trusted identification and IPFS |
| CN111343001A (en) * | 2020-02-07 | 2020-06-26 | 复旦大学 | Social data sharing system based on block chain |
-
2020
- 2020-12-09 CN CN202011447946.4A patent/CN112434113B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20190325432A1 (en) * | 2018-04-24 | 2019-10-24 | Duvon Corporation | Autonomous exchange via entrusted ledger key management |
| CN110233868A (en) * | 2019-04-20 | 2019-09-13 | 北京工业大学 | A kind of edge calculations data safety and method for secret protection based on Fabric |
| CN110879902A (en) * | 2019-11-25 | 2020-03-13 | 北京工商大学 | Grain, oil and food full supply chain information safety management system and method based on trusted identification and IPFS |
| CN111343001A (en) * | 2020-02-07 | 2020-06-26 | 复旦大学 | Social data sharing system based on block chain |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113112086A (en) * | 2021-04-22 | 2021-07-13 | 北京邮电大学 | Intelligent production system based on edge calculation and identification analysis |
| CN113127517A (en) * | 2021-04-22 | 2021-07-16 | 云上青海大数据产业有限公司 | Storage system based on block chain big data |
| CN113704786A (en) * | 2021-08-25 | 2021-11-26 | 重庆沄析工业互联网有限公司 | Supply chain management method based on industrial internet identification analysis |
| CN113938498A (en) * | 2021-09-18 | 2022-01-14 | 北京航空航天大学 | Block chain mode combining identification analysis index cloud and hierarchical peer-to-peer network |
| CN114979070B (en) * | 2022-05-24 | 2023-04-28 | 珠海复旦创新研究院 | Industrial Internet identification analysis caching system and method based on edge calculation |
| CN115297140A (en) * | 2022-07-26 | 2022-11-04 | 广东海顿供热技术有限公司 | System and method for tracing production information of cloud product and intelligent device |
| CN115297140B (en) * | 2022-07-26 | 2024-04-12 | 广东海顿供热技术有限公司 | System, method and intelligent device for tracing cloud product production information |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112434113B (en) | 2023-02-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112434113B (en) | MES system identification analysis data management system and method | |
| CN109768988B (en) | Decentralized Internet of things security authentication system, equipment registration and identity authentication method | |
| Rizzardi et al. | AUPS: An open source AUthenticated Publish/Subscribe system for the Internet of Things | |
| CN101488950B (en) | Symmetric key distribution framework for the internet | |
| Ren et al. | Potential identity resolution systems for the industrial Internet of Things: A survey | |
| Razouk et al. | A new security middleware architecture based on fog computing and cloud to support IoT constrained devices | |
| CN107771320A (en) | For improving security socket layer（SSL）The system and method for communications security | |
| Chen et al. | Rethinking encrypted traffic classification: A multi-attribute associated fingerprint approach | |
| CN112311537B (en) | Block chain-based equipment access authentication system and method | |
| Bachupally et al. | Network security analysis using Big Data technology | |
| CN112446046A (en) | Data management method and device based on intelligent contract | |
| Erroutbi et al. | Secure and lightweight HMAC mutual authentication protocol for communication between IoT devices and fog nodes | |
| CN114448936A (en) | IPv 6-based encoding traceable network transmission rule verification method | |
| Wang et al. | Scalable identifier system for industrial internet based on multi-identifier network architecture | |
| CN111585813A (en) | Management method and system of network nodes in Internet of things environment | |
| CN111586045A (en) | Attribute encryption and dynamic security layer protection method and corresponding firewall | |
| Santos et al. | Secure decentralized IoT infrastructure | |
| CN114629631B (en) | Data trusted interaction method and system based on alliance chain and electronic equipment | |
| WO2023116027A1 (en) | Cross-domain identity verification method in secure multi-party computation, and server | |
| Sazonov et al. | Identification system model for energy-efficient long range mesh network based on digital object architecture | |
| CN103533094A (en) | Identification code all-in-one machine and identification code system | |
| KR102578852B1 (en) | SYSTEM FOR ATTACK DETECTION MODEL SHARING BASED ON EDGE COMPUTING IN Urban Computing ENVIRONMENT AND METHOD THEREOF | |
| CN106572453B (en) | Content charging method, charging network element, SP server and charging system | |
| CN111385293B (en) | Network risk detection method and device | |
| CN108234678B (en) | Data unified access method and system based on request data reconstruction |
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 | ||
| CB03 | Change of inventor or designer information | ||
| CB03 | Change of inventor or designer information |
Inventor after: Shen Shuang Inventor after: Chai Senchun Inventor after: Wang Zhaoyang Inventor after: Li Huifang Inventor after: Yao Fenxi Inventor after: Zhang Baihai Inventor after: Cui Lingguo Inventor before: Chai Senchun Inventor before: Wang Zhaoyang Inventor before: Shen Shuang Inventor before: Li Huifang Inventor before: Yao Fenxi Inventor before: Zhang Baihai Inventor before: Cui Lingguo |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |