Autor: Jerry Huang

Battery energy storage systems are becoming an important part of renewable energy sites, microgrids, commercial facilities, utility projects, and distributed energy portfolios. But a BESS site is not a single device that can be monitored with one simple status signal. A BESS usually includes multiple systems: battery racks or cabinets, BMS, PCS, EMS, energy meters,…

Renewable energy assets are often spread across many locations instead of being concentrated inside one controlled facility. A solar PV site, a remote inverter station, a hybrid solar-storage installation, or a distributed energy resource may operate far from the central operations team. For asset owners and system integrators, this creates a practical monitoring challenge. Teams…

Industrial robots are no longer isolated machines performing repetitive motion in the background. In many factories, they are part of production cells that include PLCs, fixtures, conveyors, vision systems, end-of-arm tooling, sensors, safety systems, and upper-layer monitoring platforms. This makes industrial robot data acquisition more complex than simply asking whether a robot can be connected…

Industrial IoT projects often start with a practical question: how can field-side data be collected, transformed, and forwarded without building a complete custom software application from the beginning? In many factories, project teams may need to read selected Modbus values, convert serial data into a structured format, publish machine status to an MQTT broker, send…

In many factories, valuable production data already exists on the shop floor. It may come from PLCs, meters, sensors, machine controllers, drives, or older equipment that still performs critical work every day. The challenge is that this data is not always easy to collect, interpret, or send to modern industrial IoT platforms. This is especially…

Sending PLC data to the cloud is often discussed as if it were a simple connectivity task. In real industrial environments, the process usually requires more careful planning. PLCs are typically responsible for local machine control, process logic, safety-related coordination, and interaction with field devices. Cloud platforms, on the other hand, are more commonly used…

Industry 4.0 data collection is often described as a step toward connected factories and smarter manufacturing. In practice, however, factory data does not become cloud-ready simply because machines are connected to a network. A modern factory may include PLCs, CNC machines, sensors, meters, inspection systems, production lines, and legacy equipment operating across different interfaces and…

Industrial infrastructure rarely operates under a single set of operational requirements. Within the same environment, organizations may simultaneously manage real-time equipment alarms, environmental telemetry, historical reporting systems, surveillance infrastructure, remote maintenance workflows, and centralized operational coordination across multiple sites. While these workloads often operate within the same industrial network, their operational priorities are not always…

Industrial IoT infrastructure rarely develops as a single, unified system. In many operational environments, organizations gradually introduce connectivity, monitoring, and automation technologies over time. As a result, industrial deployments often consist of a mixture of legacy equipment, modern cloud platforms, serial-connected devices, Ethernet-based infrastructure, and remote assets operating simultaneously across different locations. While cloud platforms…

Industrial environments are producing more operational data than ever before, but the real challenge is not simply data volume. Machine telemetry, environmental sensors, video systems, utility monitoring equipment, and remote industrial assets all generate different types of information. Some data is repetitive. Some is bandwidth-heavy. Some changes slowly over time. Some requires attention only when…