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Methodology for Digitalization and Intelligence of Factories under the Industrial Internet of Things

The Industrial Internet of Things is a tool for us to achieve interconnection and interoperability between various devices, systems, and modules. How to deploy such a tool? How to use this tool well so that it can bring maximum benefits and value to the entire factory? We have such a methodology.
According to the national intelligent manufacturing standard system issued by the Ministry of Industry and Information Technology, intelligent manufacturing engineering is divided into three dimensions: system level, lifecycle, and intelligent features. This also points to the direction of data interconnectivity, where data integration must be based on a certain direction and purpose in order to truly unleash its value. Product centered - forming the lifecycle dimension; Taking the industrial chain as the core - forming intelligent features; Centered around the physical world - forming a system hierarchy. Under the macro guidance of the national standard system and based on the actual situation of numerous factories, our company has summarized a methodological system for building digital intelligence in factories - two integrations and three dimensions.

The Industrial Internet of Things is a tool for us to achieve interconnection and interoperability between various devices, systems, and modules. How to deploy such a tool? How to use this tool well so that it can bring maximum benefits and value to the entire factory? We have such a methodology.

According to the national intelligent manufacturing standard system issued by the Ministry of Industry and Information Technology, intelligent manufacturing engineering is divided into three dimensions: system level, lifecycle, and intelligent features. This also points to the direction of data interconnectivity, where data integration must be based on a certain direction and purpose in order to truly unleash its value. Product centered - forming the lifecycle dimension; Taking the industrial chain as the core - forming intelligent features; Centered around the physical world - forming a system hierarchy. Under the macro guidance of the national standard system and based on the actual situation of numerous factories, our company has summarized a methodological system for building digital intelligence in factories - two integrations and three dimensions.

Through the integration direction of "two integrations and three dimensions", we can deeply explore the production process of products, the process of value creation, and the entire industry chain process. Through this method, pure technology, pure data, and "value" are bound and mapped to each other, ultimately enabling data and technology to serve value, maximizing the empowerment of advanced technology in practical business, and maximizing its value.

—— Platform application layer products

The application layer product of Industrial Internet of Things Platform is an intelligent management system focused on environmental protection and pollution control in the industrial field. This product combines technologies such as the Internet of Things, big data, and cloud computing to provide enterprises with real-time monitoring, intelligent analysis, remote control, and other functions, helping industrial enterprises achieve green production, energy conservation, emission reduction, and sustainable development.

 

—— Platform edge layer products

1) Edge side equipment

Edge side gateways and edge controllers are the underlying data acquisition foundation of industrial Internet of Things. Our company collaborates with leading enterprises in other industries. For edge products, they have the following technical characteristics:

(1) Data Collection: Supports data collection for various instruments, PLCs, CNCs, injection molding machines, and other equipment.
(2) Mainstream protocol support: Supports MQTT HTTP、TCP、ModBus、OPC UA、 Data forwarding protocols such as databases, Profinet, Kafka, etc. can support multiple platform protocols simultaneously, such as Thingsboard, Alibaba Cloud, private cloud, MES system, etc.
(3) Remote download: Supports remote program download on PLCs and touch screens with network ports, serial ports, and USB ports.
(4) Edge computing: supports lua script and formula calculation, which can realize logical processing of local sub device data, and supports forwarding of logical processing results.
(5) Offline temporary storage: In case of temporary network problems, data can be temporarily stored locally, and then transferred to the cloud after network recovery. The maximum temporary storage capacity is 32GB of data.

(1) Data Collection: Supports data collection for various instruments, PLCs, CNCs, injection molding machines, and other equipment.

(2) Mainstream protocol support: Supports MQTT HTTP、TCP、ModBus、OPC UA、 Data forwarding protocols such as databases, Profinet, Kafka, etc. can support multiple platform protocols simultaneously, such as Thingsboard, Alibaba Cloud, private cloud, MES system, etc.

(3) Remote download: Supports remote program download on PLCs and touch screens with network ports, serial ports, and USB ports.

(4) Edge computing: supports lua script and formula calculation, which can realize logical processing of local sub device data, and supports forwarding of logical processing results.

(5) Offline temporary storage: In case of temporary network problems, data can be temporarily stored locally, and then transferred to the cloud after network recovery. The maximum temporary storage capacity is 32GB of data.

(2) PLC program

For general non-standard automation equipment (cylinders, servos), general process control (water pumps, fans, valves, regulating valves), etc. Our company has the ability to integrate low-level control and has built a PLC program library that is compatible with the Internet of Things platform. PLC program library references: General Motors GCCH standard (overall framework), International Packaging Association OMAC standard (for equipment status management), Siemens Automotive Industry SICAR standard (for sequential logic), and the underlying control program library.

Reasonably use these international standards to make the entire underlying control equipment have a clear framework, concise structure, and powerful functionality.
In response to the OceanIIOT platform data standard, the PLC standard program can achieve data cleaning and governance at the bottom level, optimizing the performance and architecture of the entire IoT system.
For the OceanIIOT platform application module interface standard, standard PLC programs can directly obtain feedback on optimized parameters from the platform. For example, in the energy management module, the platform can calculate the most energy-efficient state vector curve that meets the process requirements based on the historical operation data of a certain water pump transmitted from the PLC, and directly feedback the relevant information to the corresponding PLC standard program. Easily achieve optimal control of energy consumption performance under process constraints for devices, facilitating high integration between underlying devices and upper level platforms.

Reasonably use these international standards to make the entire underlying control equipment have a clear framework, concise structure, and powerful functionality.

In response to the OceanIIOT platform data standard, the PLC standard program can achieve data cleaning and governance at the bottom level, optimizing the performance and architecture of the entire IoT system.

For the OceanIIOT platform application module interface standard, standard PLC programs can directly obtain feedback on optimized parameters from the platform. For example, in the energy management module, the platform can calculate the most energy-efficient state vector curve that meets the process requirements based on the historical operation data of a certain water pump transmitted from the PLC, and directly feedback the relevant information to the corresponding PLC standard program. Easily achieve optimal control of energy consumption performance under process constraints for devices, facilitating high integration between underlying devices and upper level platforms.

—— Overall architecture of industrial Internet of Things system

  • Perception layer

    The data acquisition technology used is different from traditional external sensor data acquisition technology...

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  • Edge layer

    Edge computing enables dynamic analysis of real-time data on device side and network edge side...

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  • IaaS layer

    The IaaS layer mainly provides elastic computing and storage resources...

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  • PaaS layer

    Implement the following basic functions for the entire IoT platform...

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  • SAAS layer

    This layer is the specific layer for implementing various management functions of the Internet of Things...

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