IOT News

A certain textile enterprise possesses integrated businesses including research and development, weaving, printing and dyeing, and trade, equipped with systems such as automatic material weighing, automatic packaging, wastewater treatment, and MES.

However, during its digital transformation, it encountered the following issues:

1. Although most equipment has achieved automated production, there is a lack of networking and data collection, resulting in incomplete and untimely acquisition of important data.

2. Although the MES system has been established, some management processes still require manual and paper-based records, which are cumbersome, error-prone, and inefficient.

3. The collaboration between production and packaging systems is poor, with information delays that make it difficult to quickly query and compile statistics, affecting relevant decision-making improvements.

In response, WideIOT provides an efficient and reliable IoT solution.

By deploying industrial smart gateways + data platforms, it enables comprehensive real-time collection of equipment status and process parameters from PLCs, instrumentation, sensors, and other devices, and connects them to the data platform.

After standardized processing by the data platform, the data is then connected to the MES system, thereby constructing an information-based and visualized production management system to assist the enterprise in achieving refined and intelligent production management, reducing costs, increasing efficiency, and achieving sustainable development.

Implemented Functions:

1. Equipped with multiple serial ports and network ports, it collects data from automated equipment PLCs, water quality monitors, temperature and humidity sensors, and supports internet access via 5G/4G/WiFi/Ethernet, with upload protocols including Modbus, MQTT, OPC UA, etc.

2. It realizes centralized归纳 (summarization can be used here as a more natural English term) and processing of data from production and packaging equipment, and connects to the MES system via API data interfaces to achieve data interaction and information sharing, as well as connecting to other information systems such as ERP and WMS.

3. It establishes an equipment management system for efficient and precise digital management of the operational status, performance parameters, fault warnings, and maintenance records of various production equipment within the enterprise, thereby improving production efficiency and management level.

4. It monitors equipment status and process parameters in real-time, automatically sending alerts via WeChat, SMS, email, etc., when equipment faults or abnormal parameters are detected, facilitating quick positioning, diagnosis, and response.

5. It forms a visualized data dashboard that centrally displays information such as equipment online rates, fault rates, alert distributions, data reports, and OEE, leveraging its data integration, analysis, and visualization capabilities to drive continuous business development and optimization for the enterprise.