GB/T 40212-2021 PDF in English
GB/T 40212-2021 (GB/T40212-2021, GBT 40212-2021, GBT40212-2021)
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The classification and reference architecture of cloud service platform for industrial robot
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GB/T 40212-2021: PDF in English (GBT 40212-2021) GB/T 40212-2021
GB
NATIONAL STANDARD OF THE
PEOPLE’S REPUBLIC OF CHINA
ICS 25.040.30
L 67
The classification and reference architecture of cloud
service platform for industrial robot
ISSUED ON: MAY 21, 2021
IMPLEMENTED ON: DECEMBER 01, 2021
Issued by: State Administration for Market Regulation;
Standardization Administration of the People’s Republic of
China.
Table of Contents
Foreword ... 3
1 Scope ... 4
2 Normative references ... 4
3 Terms and definitions ... 4
4 Abbreviations ... 6
5 Overview of cloud service platform for industrial robot ... 6
6 Classification of cloud service platform for industrial robot ... 8
7 Reference architecture of cloud service platform for industrial robot ... 9
References ... 15
The classification and reference architecture of cloud
service platform for industrial robot
1 Scope
This Standard gives the characteristics, classification and reference
architecture (physical access layer, communication layer, base layer, platform
layer and application layer) of the cloud service platform for industrial robot.
This Standard applies to robot manufacturers, robot integrators and robot users,
and provides guidance for them in the process of building and using cloud
service platform for industrial robot.
2 Normative references
The following documents are indispensable for the application of this document.
For dated references, only the dated version applies to this document. For
undated references, the latest edition (including all amendments) applies to this
document.
GB/T 11457-2006, Information technology - Software engineering
terminology
GB/T 12643-2013, Robots and robotic devices - Vocabulary
GB/T 16656.1-2008, Industrial automation systems and integration - Product
data representation and exchange - Part 1: Overview and fundamental
principles
GB/T 37393-2019, Digital factory - General technical requirements
3 Terms and definitions
Terms and definitions determined by GB/T 12643-2013, GB/T 11457-2006 and
GB/T 16656.1-2008, and the following ones are applicable to this document.
3.1
Industrial robot
The automatic control, reprogrammable, multi-purpose manipulator which is
used in industrial automation, fixed or mobile, that can program three or more
axes.
probability simulation processes, to complete the mapping in the virtual space,
thereby reflecting the full life cycle process of the corresponding physical
equipment.
3.7
Model
A representation of a process, equipment, or concept in the real world.
[GB/T 11457-2006, definition 2.964]
4 Abbreviations
The following abbreviations apply to this document.
ERP: Enterprise Resource Planning
IaaS: Infrastructure as a Service
MES: Manufacturing Execution System
OPC: OPC Foundation (a non-profit industry association)
UA: Unified Architecture
PLM: Product Lifecycle Management
5 Overview of cloud service platform for industrial
robot
5.1 Applicable objects and goals
The cloud service platform for industrial robot is applicable to robot
manufacturers, robot integrators and robot users.
The cloud service platform for industrial robot has different goals according to
its applicable objects:
-- For robot manufacturers, it realizes product value-added through services,
and realizes robot product design optimization and equipment health
management;
-- For robot integrators, it researches the application innovation of industrial
robots and carries out engineering implementation verification;
-- For robot users, it makes field equipment easy to manage, stabilizes
product quality, and performs predictive maintenance.
5.2 Demand scenarios
5.2.1 Demand scenarios of robot manufacturers
The demand scenarios of robot manufacturers are as follows:
a) Realize product value-added through services: apply big data analysis,
mobile Internet and other technologies, to automatically generate product
operation and application status reports, and push them to the user side,
so as to provide users with online monitoring, remote services, fault
prediction and diagnosis, health status evaluations and other value-added
services;
b) Realize the optimization of industrial robot product design: perform
technical optimization of common equipment failures and problems in
product design and production, through industrial robot operating data
statistics and failure analysis;
c) Realize the health management of industrial robot equipment: based on
industrial robot big data and failure models, predict robot and production
line operation failures; ensure the stable operation of customer production
lines; avoid unplanned equipment shutdown due to damage to key parts.
5.2.2 Demand scenarios of robot integrators
The demand scenarios of robot integrators are as follows:
a) Research the application innovation of industrial robots through big data
processing analysis, data mining and data visualization display of
equipment applications;
b) Establish application requirements for industrial robots and build new
robot application scenarios;
c) Build a robot application data processing model; put forward solutions for
industry big data; verify project implementation.
5.2.3 Demand scenarios of robot users
The demand scenarios of robot users are as follows:
a) Field equipment management: through data collection, monitor the
operating status of factory/workshop robots; get equipment start-up rate,
operating rate, utilization rate, failure rate, and statistical information of
overall equipment effectiveness in real time, so that the production
7.2 Physical access layer
The physical access layer is the entrance for industrial robots to connect to the
cloud service platform, to directly connect to the industrial robot control system,
perception system or driving system, so that various industrial robots and their
supporting equipment can access the cloud service platform network.
7.3 Communication layer
Different industrial robots usually use different physical interfaces and
communication protocols. The communication layer connects the industrial
robot to the digital workshop interconnection network through the field network,
and connects the industrial robot to the cloud network through the local
intelligent gateway/server, to realize the interconnection and
intercommunication of the industrial robot with other production equipment and
cloud service platforms. The communication layer mainly includes:
a) Field network. Use network technologies such as fieldbus, industrial
Ethernet, industrial wireless, to realize the interconnection and
intercommunication of industrial robots and digital workshop
interconnection networks. Combined with the situation of the industrial site,
make full use of the existing communication interfaces of industrial robots;
modify the existing robot equipment and network environment according
to local conditions, to realize the network foundation for industrial robot
access;
b) WAN/LAN. Use smart gateways, servers, and the like, to connect robots
to the cloud through a WAN/LAN through a mobile network or a wired
network, to realize the interconnection and intercommunication between
industrial robots and cloud service platforms, and establish a unified
communication mechanism between industrial robots and cloud service
platforms, so as to achieve mutual data exchange. The intelligent gateway
can be used as an independent entity to connect with industrial robots; the
intelligent gateway can also be integrated with the industrial robot
controller, and the gateway function can be integrated into the controller
to realize the industrial robot intelligent controller.
7.4 Base layer
The base layer is the IaaS layer that provides infrastructure resources such as
computing, storage, and networks. The cloud service platform can build upper-
layer services based on the IaaS layer of public or private clouds, or build an
IaaS layer by itself to provide platform users with cloud computing infrastructure
services.
Generally, store data, of high data security and privacy requirements, on the
private cloud; store data, for data sharing and complex analysis and
calculations, on the public cloud, or execute it, to complete various tasks of
industrial robots in coordination.
7.5 Platform layer
The platform layer provides basic components and functions for application
development:
a) The platform layer provides common components of the cloud service
platform, including:
-- Common components of the platform: such as databases, message
middleware, algorithm libraries;
-- Common components of the robot: such as robot data modeling, robot
data exchange components;
-- Resource servicing interface: such as robot servicing packaging
interface and general service packaging interface of the platform.
b) According to features such as function and communication frequency, the
data modeling performs data classification of the interactive information
between each robot/system; based on OPC UA, establish a data model
of various information in the field of industrial robots, and construct a cloud
digital twin of industrial robots; establish a real-time image of industrial
robots in the digital world and realize data fusion in the cloud. It mainly
includes:
-- Digital twin construction. Establish a data model of various information
of industrial robots; establish a digital twin of industrial robots on the
cloud platform; realize real-time perception of industrial robots by
upper-level applications;
-- Data fusion storage. Including equipment parameters, fault alarms,
process files, equipment procedures, log collection; through various
forms such as time series database, document database, relational
database, and the like, store in the cloud, to achieve industrial robot
data fusion.
c) Data exchange is the basis for realizing interoperability between cloud
service platforms and industrial robots and external platforms. Through
data exchange, functions such as industrial robot collection and control
and data flow between platforms are realized. It mainly includes:
-- Data interaction between the platform and industrial robots. Based on
the data model, it conducts periodic and non-periodic data interaction
c) The cloud service platform for industrial robot provides the following
services for robot users:
-- According to the needs of robot users, it can provide platform services
such as testing and debugging, predictive maintenance, and after-sales
management;
-- According to the needs of robot users, based on the self-built cloud
service platform of private cloud, it can manage and control the used
robots, and integrate with MES and other systems in the digital
workshop to achieve centralized management.
7.7 Security of cloud service platform for industrial robot
The security of cloud service platform for industrial robot includes reliability,
confidentiality, integrity, availability, and privacy and data protection:
a) Reliability refers to the ability or possibility of the industrial robot cloud
service business to perform specified functions without failure within a
certain period of time and under certain conditions. It mainly includes the
reliability of hardware equipment, the reliability of software functions and
the reliability of data analysis.
b) Confidentiality refers to the feature that the information in the industrial
robot cloud service business is not leaked to unauthorized individuals or
enterprises for use according to given requirements, that is, to prevent
useful data or information from leaking to unauthorized individuals or
entities. It mainly includes communication confidentiality and information
confidentiality.
c) Integrity refers to the characteristics of industrial robot cloud service users,
processes or hardware components that they can verify the accuracy of
the information sent, and the process or hardware components will not be
changed in any way. It mainly includes communication integrity,
information integrity and system integrity.
d) Availability refers to the probability or expected value of time occupancy
that the industrial robot cloud service business can operate normally at a
certain time of investigation; availability is a measure of the actual use of
the industrial robot cloud service business after it is put into use. It mainly
includes communication availability, information availability and system
availability.
e) Privacy and data protection refers to the ability to protect the personal
private data of industrial robot cloud service users or sensitive data owned
by enterprises. It mainly includes user privacy protection and enterprise
sensitive data protection.
...... Source: Above contents are excerpted from the PDF -- translated/reviewed by: www.chinesestandard.net / Wayne Zheng et al.
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