IOT News

Oxygen generators (for medical or industrial use) typically require uninterrupted and stable operation 24*7. Their core pain points are as follows:

1. Data acquisition has not been implemented for each individual device.

2. PLC debugging relies on manual connection of programming cables.

3. Production reporting data is initially recorded on paper forms and then submitted to production statisticians for aggregation. Production progress can only be summarized by the next morning, resulting in a heavy statistical workload and delayed data availability, lacking efficient means for data collection.

4. Traceability information such as personnel, time, machine, and batch during the production process is recorded manually, leading to scattered information that is difficult to view later.

In response, WideIOT's industrial intelligent gateway collects data from various PLCs, standardizes it into JSON message strings after protocol parsing and edge computing, and then reports it to the device data relay platform via MQTT. Simultaneously, the platform forwards the data to the MES system through API interfaces, providing intuitive and dynamic images and data to display the real-time operational status, key parameters, and various fault alarm information of each production line or device in the workshop, offering comprehensive and reliable digital and intelligent support for production management.

Implemented Functions

1. Real-time acquisition of data such as output, concentration, working pressure, operating temperature, air flow rate, cooling water volume, power, and voltage from oxygen generators, operating 24*7.

2. Intuitively display the real-time operational status and key process parameters of each oxygen generator in the form of "equipment dashboards + configuration process diagrams + trend curves," supporting multi-terminal access via mobile phones, computers, and large screens in control rooms.

3. Immediately notify relevant management personnel through multiple channels such as WeChat, SMS, email, and audible-visual alarms upon detecting abnormal data, quickly locating the problematic device and abnormal parameters to shorten fault response time.

4. Combine alarm information to automatically generate maintenance work orders and assign them to maintenance personnel, while recording operation logs and handling progress to form a visual and traceable maintenance management process, improving maintenance efficiency and service quality.

5. Enable technicians to remotely upload and download programs, perform online programming and debugging, and back up and restore parameters for PLCs located in different places through the device remote maintenance expressway without the need to be physically present on-site, significantly reducing maintenance costs and time consumption.

6. Quickly generate multi-dimensional statistical reports including shift reports, daily reports, weekly reports, and monthly reports, providing in-depth analysis of the operational efficiency and fault distribution of oxygen generators to support decision-making for optimizing production processes, reducing operating costs, and improving product quality.