The open-source industrial IoT cloud platformintegrates various sensing and monitoring instruments that collect data, control sensors, mobile communication devices, and intelligent analysis functions into industrial production processes. This fundamentally enhances manufacturing efficiency, improves product quality, and reduces product costs and unnecessary resource consumption. So, what are the advantages and disadvantages of the open-source industrial IoT cloud platform?
1. What is an open-source industrial IoT cloud platform?
The open-source industrial IoT cloud platformis built upon the source code of an integrated research and development platform, enhancing mobile devices, intelligent analysis functions, data collection functions, and monitoring functions. The development of a technology involves continuously identifying and solving problems during its usage. No technology is developed without any vulnerabilities for everyone to use. Therefore, continuously identifying and correcting problems is also a necessary stage for improving technology.
2. Advantages and characteristics of the platform
The microservices model is particularly popular nowadays, sothe open-source industrial IoT cloud platformhas started implementing the separation of transmission protocol proxy services and rule engine services from core services, and needs to ensure optimal deployment and performance tuning in a highly connected environment. The Actor model features high concurrency and high fault tolerance. To improve the execution efficiency of this model, the Actor system developed in Java is used. The self-developed engine provides support for message processing functions, mimicking Node Red. Objects that can use this system are management tenants and devices, which maintain device status, process received messages, and feed the results back into the rule chain.
3. Issues with the platform
The open-source industrial IoT cloud platformappears to have no issues on the surface, but those who have used the platform are naturally aware of the problems inside. Firstly, there are management issues with the system. The system was designed with remote management platforms in mind. Now, one tenant corresponds to one manufacturer, one manufacturer can manage multiple customers, and multiple customers can have multiple users. However, device management permissions cannot be easily granted. Most permissions are written into the code by programmers, and ordinary people cannot easily change them. There are organizational issues with time-series data storage, and the database currently owned by the platform system does not have efficient data storage capabilities.
4. How can the system be improved better?
In order toopen-source industrial IoT cloud platformto better serve customers, the developer has made modifications to the application framework and started using a multi-tenant application framework, ensuring a complete correspondence between system tenants and our tenants. The smooth introduction of the TDEngine application has improved the storage efficiency of time-series data, enabling new organization of data records based on measurement and control points. The platform successfully incorporates the concepts of measurement and control points and measurement and control domains, making the organization of data on the platform more rigorous and clear.
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