AU2021101788A4 - Development of big data analytics for intelligent industrial manufacturing based on iot - Google Patents
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- AU2021101788A4 AU2021101788A4 AU2021101788A AU2021101788A AU2021101788A4 AU 2021101788 A4 AU2021101788 A4 AU 2021101788A4 AU 2021101788 A AU2021101788 A AU 2021101788A AU 2021101788 A AU2021101788 A AU 2021101788A AU 2021101788 A4 AU2021101788 A4 AU 2021101788A4
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- 238000004519 manufacturing process Methods 0.000 title claims abstract description 20
- 238000012517 data analytics Methods 0.000 title claims abstract description 14
- 238000011161 development Methods 0.000 title abstract description 5
- 238000004891 communication Methods 0.000 claims description 6
- 238000012545 processing Methods 0.000 abstract description 4
- 238000013480 data collection Methods 0.000 abstract description 2
- 238000000034 method Methods 0.000 abstract description 2
- 238000012544 monitoring process Methods 0.000 abstract description 2
- 238000007726 management method Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000001934 delay Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000004438 eyesight Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 238000010223 real-time analysis Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K19/00—Record carriers for use with machines and with at least a part designed to carry digital markings
- G06K19/06—Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q2209/00—Arrangements in telecontrol or telemetry systems
- H04Q2209/10—Arrangements in telecontrol or telemetry systems using a centralized architecture
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q2209/00—Arrangements in telecontrol or telemetry systems
- H04Q2209/40—Arrangements in telecontrol or telemetry systems using a wireless architecture
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
- H04Q9/02—Automatically-operated arrangements
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- 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
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
DEVELOPMENT OF BIG DATA ANALYTICS FOR
INTELLIGENT INDUSTRIAL MANUFACTURING BASED ON
IOT
The global network interconnecting physical devices such as mechanical machines,
sensors, computing devices, actuators, objects, smart applications and people is
termed as Internet of Things (IoT) which has become significant part of several
applications. In industrial applications, abundant amount of data is generated
during the manufacturing process, which is heterogeneous, massive and time
sensitive bringing substantial challenges in real time data collection, its processing
and thereby decision making. In this invention, we develop a novel framework for
big data analytics for intelligent industrial manufacturing based on Internet of
Things for managing the huge data generated in industries for controlling smart
manufacturing and for supporting online process of industrial monitoring. The five
layers involved in the framework are physical layer, network layer, middleware
layer, database layer and application layer for providing architecture based on
service oriented for the users. This framework is able to manage emergency events
along with management of regular industrial data thereby increasing productivity.
7
INTERNET
a74
SniartMmnuwhijtngSystem fSonhng Cloud entr
Figure 1. Data Security for Intelligent Industrial Manufacturing usingIOT
C ~ 1~1 A5~Data AnalyticS
Int QMS WMS
0 - ----------
itUs \UN---ION--S --
- - - - ~- - -- ----------------Lae
S Resource i Data Mnaeient
ReMtatent DsitDtSre
Idniiain 'Intelligent Routering Aggreatio suctured
DatacBroTes
Processin d Coletr i on +
Reouce------------------
RgSrtio RgrData De4er> Cotet1aotext2 asnex
------- vent ' r- -- - -- - - - Lae
IResource vt Management M
mdentificatio tlietRue Dis riue D a 2 St--o lskle
«a Inut ia Data»in ggeato
Figure2.ProposedFramework ofBigDataAnalyticsforIntelligentIndustrialManufacturingusingOT
8
Description
The global network interconnecting physical devices such as mechanical machines,
sensors, computing devices, actuators, objects, smart applications and people is
termed as Internet of Things (IoT) which has become significant part of several
applications. In industrial applications, abundant amount of data is generated
during the manufacturing process, which is heterogeneous, massive and time
sensitive bringing substantial challenges in real time data collection, its processing
and thereby decision making. In this invention, we develop a novel framework for
big data analytics for intelligent industrial manufacturing based on Internet of
Things for managing the huge data generated in industries for controlling smart
manufacturing and for supporting online process of industrial monitoring. The five
layers involved in the framework are physical layer, network layer, middleware
layer, database layer and application layer for providing architecture based on
service oriented for the users. This framework is able to manage emergency events
along with management of regular industrial data thereby increasing productivity.
a74 SniartMmnuwhijtngSystem fSonhng Cloud entr
Figure 1. Data Security for Intelligent Industrial0Manufacturing - usingIOT ---------- itUs \UN---ION--S --
C ~ 1~1 A5~Data AnalyticS Int QMS WMS
- - - - -~- -- --------- -------Lae
ReMtatent DsitDtSre Reouce------------------ SRgSrtio Resource i RgrData De4er> DataMnaeient Cotet1aotext2 asnex ------- DatacBroTes vent - - - ' r--- - - - Lae IResource vt Management Processin d Coletr iM on + mdentificatio tlietRue Dis riue D a 2 St--o lskle Idniiain 'Intelligent Routering Aggreatio suctured
«aInut Data»in ia ggeato
Figure2.ProposedFramework ofBigDataAnalyticsforIntelligentIndustrialManufacturingusingOT
(See Section 10; rule 13)
The following specification particularly describes the invention and the manner in which it is to be performed
DEVELOPMENT OF BIG DATA ANALYTICS FOR INTELLIGENT INDUSTRIAL MANUFACTURING BASED ON IOT Description of the system " In the industrial applications, several researchers are focusing on data
management as it involves acquisition of data, its processing and storage
based on the technology of Internet of Things.
• The devices involved in industries are distributed and heterogeneous which
have to aggregate the data once before storage. But intelligent manufacturing
involves highly correlated huge data with deep integration hence acquiring
industrial data has become the major challenge for the manufacturers.
• In this invention, we develop a big data analytics based on Internet of Things
for intelligent industrial manufacturing process in real time.
• The proposed invention involves five layers with each of the layer perform
different function. First layer is the physical layer is connection different
devices in the field such as sensors and actuators creating raw data for each
unique event. The next layer is the communication layer which ensures
secured connection in between each of the layer by implementing latest
protocol related to industrial applications.
• Streaming of data is also controlled by this layer along with related queries
and results. Next is middleware layer providing support for data discovery.
" The distributed industrial data is partially stored in the local repositories as
supported by the database layer in order to overcome intensive workload and
delays in communication in the cloud server.
• Real time analysis of data and handling of queries from consumers is
supported by application layers. These layers in the proposed invention are
explained as follows:
• Physical Layer: This layer involves the industrial related entities in
manufacturing unit that generates data such as servo meters, conveyor belts,
flow meters, robots, machine visions, PLCs, embedded chips etc.
• These devices on the factory floor generate real time data has to be
transferred to the upper layers through open platform communication unified
architecture. These adapters deployed in different sensors are able to provide
real time status of the machines in industries in digital form.
• Each physical device in the factory floor has unique identity such that
accessing them becomes easier for the data consumer individually.
• Communication Layer: This layer acts as a central hub for transferring data
from the physical layer to higher layers efficiently without any time delay
providing low latency. Technologies such as Wi-Fi direct, RFID, Z-wave,
4G LTE, ZigBee etc are utilized for data transfer with high bandwidth.
" The data is processed and stored by these technologies for a particular
duration of time hence this layer provides assurance of data security as
protects the framework from unauthorized accessing throughout the data
lifecycle in every phase of the data transmission.
• Middleware Layer: Data acquisition from the physical devices from the
system of Industrial Internet of Things is done by the middleware layer
which is able to manage the data resources effectively.
• The middleware layer interacts directly with data producer available at the
physical layer and the data consumer available at the data storage layer or at
the application layer hence able to handle the responses and request that
avail between these two layers.
• The various components in the middleware layer are used for conversion of
raw data into processed data which is then transmitted to the distributed data
storage for future usage.
• Application and Management Layer: In the proposed invention, data
security for industrial information is provided in three levels namely user
level, application level and transport level security in real time.
• Specific users are able to access data that are under user level security
setting up new sessions such that unauthenticated users can't access.
" Exchanging of certificates signed digitally is shared under Application level
security by authenticated application. In the communication sessions,
signing and encryption of each data entity is done by transport level security.
• Data Analytics: Data integrity and authenticity is certified by encryption
which avoids eaves dropping during the data access of industrial
applications.
• Data transmission is done preferable by REST-API protocol which is
reliable on cloud server as it supports industrial environment.
• Data security is enhanced by local encryption and data processing which
minimizes the data size sent to the cloud server.
• The proposed invention increases the productivity of the industry as the data
management is efficiently done from raw material to finished product with
assured data security for authenticated access.
The invention is herein described, with the accompanying block diagrams,
Figure 1. Data Security for Intelligent Industrial Manufacturing using IOT
Figure 2. Proposed Framework of Big Data Analytics for Intelligent Industrial
Manufacturing using IOT
Claims (5)
1. In this invention, we develop a big data analytics based on Internet of Things
for intelligent industrial manufacturing process in real time with five layers.
2. Each physical device in the factory floor has unique identity such that
accessing them becomes easier for the data consumer individually.
3. Communication layer acts as a central hub for transferring data from the
physical layer to higher layers efficiently without any time delay providing
low latency.
4. Data acquisition from the physical devices from the system of Industrial
Internet of Things is done by the middleware layer which is able to manage
the data resources effectively.
5. Data security for industrial information is provided in three levels namely
user level, application level and transport level security in real time.
Figure 1. Data Security for Intelligent Industrial Manufacturing using IOT
Figure 2. Proposed Framework of Big Data Analytics for Intelligent Industrial Manufacturing using IOT
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2021101788A AU2021101788A4 (en) | 2021-04-07 | 2021-04-07 | Development of big data analytics for intelligent industrial manufacturing based on iot |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2021101788A AU2021101788A4 (en) | 2021-04-07 | 2021-04-07 | Development of big data analytics for intelligent industrial manufacturing based on iot |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| AU2021101788A4 true AU2021101788A4 (en) | 2021-06-10 |
Family
ID=76215552
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| AU2021101788A Ceased AU2021101788A4 (en) | 2021-04-07 | 2021-04-07 | Development of big data analytics for intelligent industrial manufacturing based on iot |
Country Status (1)
| Country | Link |
|---|---|
| AU (1) | AU2021101788A4 (en) |
-
2021
- 2021-04-07 AU AU2021101788A patent/AU2021101788A4/en not_active Ceased
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