IOT News

A certain textile enterprise is engaged in integrated businesses including research and development, weaving, printing and dyeing, and trade. It is equipped with systems such as automatic material weighing, automatic packaging, sewage treatment, and MES. However, it encountered the following issues during digital transformation:

1. Most of the equipment has achieved automated production, but there is a lack of networking and data collection. Important data acquisition is not comprehensive or timely.

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, packaging, and other systems is not smooth, with information delays, making it difficult to conduct quick queries and statistics, which affects relevant decision-making improvements.

In response, WideIOT provides efficient and reliable IoT solutions. By deploying industrial intelligent gateways and a data middleware platform, it can comprehensively connect devices such as PLCs, instruments, and sensors. It enables real-time collection of equipment status and process parameters and connects them to the data middleware platform. After standardized processing by the data middleware platform, the data is then connected to the MES system, thereby constructing an information-based and visual production management system. This helps enterprises achieve refined and intelligent production management, achieve cost reduction and efficiency enhancement, and sustainable development.

Implemented Functions:

1. It features multiple serial ports and network ports for collecting data from automated equipment such as PLCs, water quality monitors, and temperature and humidity sensors. It supports internet access via 5G/4G/WiFi/Ethernet and supports upload protocols such as Modbus, MQTT, and OPC UA.

2. It achieves centralized collection and data processing of production, packaging, and other equipment data, and connects to the MES system through API data interfaces for data interaction and information sharing. It can also connect to 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 in the enterprise, thereby improving production efficiency and management level.

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

5. It creates a visual data dashboard that centrally displays information such as equipment online rate, failure rate, alarm distribution, data reports, and OEE. Utilizing its data integration, analysis, and visual display capabilities, it promotes the continuous development and optimization of enterprise operations.