JelinaOS use cases
At the industrial IoT edge, environments are complex, devices are distributed, and reliability requirements are demanding. JelinaOS combines high reliability, support for both application models, and cloud-edge coordination to deliver consistent value in the following scenarios.
Industrial automation
Section titled “Industrial automation”Production line control, device data acquisition, protocol gateways, and SCADA edge nodes are core industrial automation applications. JelinaOS provides:
- Native applications with deep access to hardware capabilities for real-time control and specialized protocols.
- Containerized deployment that enables seamless migration of production line applications between different device models.
- A/B systems and watchdog mechanisms to support continuous 24/7 operation of production equipment.
Related platforms: NXP i.MX (industrial control), Rockchip (data gateways).
Energy storage and renewable energy
Section titled “Energy storage and renewable energy”From home energy storage management terminals to large containerized storage systems, edge controllers perform critical battery management, power coordination, and safety protection functions.
- A highly reliable operating system keeps storage equipment online over the long term.
- Cloud-edge coordination supports remote monitoring, strategy delivery, and batch upgrades of storage systems.
- Data isolation protects the security and integrity of operating data and historical records.
Related platforms: Rockchip (energy storage controllers), x86 (energy management terminals).
Power industry and edge computing
Section titled “Power industry and edge computing”Substations, distribution transformer service areas, and power IoT gateways impose industry-specific requirements on device stability and security.
- Industry-certified system quality meets stringent power-sector standards.
- Support for combinations of real-time kernels and hardware platforms with deterministic response.
- Offline OTA update capabilities allow equipment at remote sites to be upgraded safely.
Related platforms: x86 RT (real-time control), Rockchip (power IoT gateways).
Edge vision AI analytics
Section titled “Edge vision AI analytics”In vision AI applications such as security, quality inspection, and transportation, edge devices must handle image acquisition, inference, and result reporting simultaneously.
- Rockchip and NXP platforms provide a range of NPU computing capabilities.
- Containerized deployment allows algorithm models and inference services to evolve independently and iterate quickly.
- Centrally manage large fleets of vision terminals from the cloud and deliver algorithm upgrades with one click.
Related platforms: Rockchip (built-in NPU on RK3588 / RK3576), NXP i.MX (lightweight vision).
Device connectivity and remote maintenance
Section titled “Device connectivity and remote maintenance”Whether deployed on factory floors, at remote power stations, or on offshore platforms, JelinaOS keeps devices connected, manageable, and upgradable:
- Device registration with the cloud is fast, typically within 30 seconds, for immediate use.
- In production mode, devices are accessible only through secure channels, minimizing network exposure.
- Failed updates roll back automatically, reducing on-site travel for remote maintenance.
For industry examples in energy storage, power, and edge AI, see JelinaCloud configuration examples.
From a single device to fleets of thousands, and from standard products to extensive customization, JelinaOS provides a reliable, controllable, and continuously evolving operating system foundation for IoT edge environments.