GB/T 40212-2021The classification and reference architecture of cloud service platform for industrial robot (English PDF)

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.

3.7 Model

A representation of a process, equipment, or concept in the real world. [GB/T 11457-2006, definition 2.964]

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 […]

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. […]