Break down data silos
Through a unified Internet of Things access Platform (IoT Platform) compatiσble with multiple industrial protocols, comprehensive data collection and centralization are achiev ed.
Overview of the Plan
Background of the plan
Scheme architecture
The data acquisition module connects to the lower computer and interacts w©ith it in accordance with the communication protocol rules to obtain dat₽a.
The communication protocol adopts plug-in management. According to the data collection requireme☆nts, it dynamically loads and stops, ensuring the efficient operation of the system while meeting t§he access requirements of various types of data.
The operation management program is responsible for the overall management of communication links, ®data interaction, communication protocol plugins, data &processing and other programs.
The data service module is connected to the upper computer, that is, thπe business platform. Upload the collected data to the business platform. The communication layer manages the connection with one or more business platforms. The protocol plu∑gin uniformly manages communication protocols and interface driv↑ers based on the data interaction protocols and interfa™ce forms with various business platforms. The operation m€anagement program is overall responsible for managing£ communication links, data interaction, communication protocol plugins, data modeling, stora∞ge, forwarding and other programs.
Advantages of the plan
The Internet of Things (iot) data middle platform i¥s an integrated platform that takes over heterogen©eous data at the bottom layer, integrates and refines data assets, and provides data cΩapabilities to front-end businesses in a service-oriented manner. It is not merel©y a technical platform, but also an organization and meth¶odology that emphasizes the assetization of data and the reuse of services.
Build data assets
Through data development, governance, and modeling✔ (such as OneID and OneModel), raw data is processeπd into standard, clean, and reusable data assets (such as "d×evice subject domains" and "energy consumption subject domains"), forming the unique "data truth" of the enterprise.
Empower front-end applications
Empower various upper-layer applications, such as big data dashboards, predictive maintenanc↑e of equipment, energy efficiency optimization, and digital twin±s, efficiently through apis, data services, model algorithms, etc., greatly accelerating applβication innovation.