The devices are interconnected via the IOT hubs, supporting millions of devices online at the same time. Data can be stored on cloud devices in milliseconds.
Providing reliable disaster recovery mechanism to ensure the online service in 99.99% of the time.
Public cloud + Kubernetes PaaS platform is elastic and scalable, supporting any level of users online, and the computing power automatically expands as users grow.
One-click deployment, compatible with mainstream public/private cloud architectures.
The IoT platform connects MEGAROBO's hardware products (robots, sensors, etc.) with cloud services.
As IoT access devices, robots and sensors are the entrance of big data. Real time operation data is transmitted to the cloud through Http or MQTT protocol. The IoT platform manages the life cycle of access devices, monitors the online and offline status in real time, and supports the simultaneous connection of millions of devices, and real-time cloud and storage of original data.
SaaS online service cluster is used to help clients quickly implement MEGAROBO’s smart retail solutions.
Online cluster is the logical center of business. The flow data of the IoT devices and the interactive data of the front-end application are processed according to the business logic here. For example, the order processing engine can schedule orders according to the busy situation of the system in real time, so as to realize the optimization of machine efficiency and user experience. Promotion engine and price calculation engine can be quickly configured and launched according to business needs.
The cluster uses cloud-based Kubernetes PAAS platform to deploy microservices. The cluster is flexible and scalable, supporting millions of users online, and the computing power automatically expands with the growth of users. The cluster provides reliable disaster recovery mechanism to ensure that the service is online in 99.99% of the time. Our solution is not bound to cloud vendors and supports mainstream public cloud (such as Alibaba cloud) deployment, and also supports private cloud deployment. And fully considering the importance of deployment efficiency, it has the ability of one-click deployment.
Mining the value of big data to empower business
Big data AI platform mines data value, empowers actual business and provides value-added services.
User interaction data, equipment raw data, order flow data and other valuable data are stored in the data platform. The platform supports real-time data processing and batch processing, and connects with the big data screen to provide real-time information about sales, users and operations.
In addition, the data can be used for feature extraction in AI platform to train machine learning model. Models can be deployed with one click for model reasoning. Some models have been used in beverage recommendation and equipment predictive maintenance.