IOT News

Industry Background

With the rise in environmental awareness and the growing demand for resource recycling, shredders have become increasingly vital in the waste processing and recycling industry.

 However, traditional mechanical operations rely heavily on manual monitoring and empirical judgment, which are not only inefficient but also fail to meet the high accuracy and real-time requirements of modern production. Therefore, there is an urgent need for an efficient and intelligent data acquisition solution to enable real-time monitoring and analysis of equipment status, thereby enhancing the automation level and operational efficiency of the entire production line.

Industry Pain Points

1. Data Silos: A lack of effective interconnection among production equipment leads to underutilization of data.
2. High Maintenance Costs: Relying on manual labor for fault diagnosis and maintenance is time-consuming and labor-intensive.
3. Insufficient Predictive Maintenance: The lack of real-time data support makes maintenance efforts reactive rather than proactive.

System Solution

In response to these challenges, WideIOT offers a PLC data acquisition system for shredders based on industrial gateways.

 The core of this solution lies in using industrial gateway devices to connect and acquire data from PLC-equipped shredders. Through edge computing capabilities, real-time data processing is achieved, and key information is transmitted to a cloud platform. This enables remote monitoring of equipment operating status and working parameters, allowing for the detection of abnormal faults and the implementation of measures to ensure the safety and stability of production operations.

System Functions

1. Data Acquisition: Real-time acquisition of multi-dimensional operational data from shredders, such as temperature, pressure, and rotational speed, while generating visual data reports.

2. Intelligent Warning: Utilizing intelligent alarm rules, the system automatically notifies relevant personnel via WeChat, SMS, email, etc., when abnormal data is detected, enabling prompt action to avoid production downtime.

3. Visual Management: Providing a user-friendly interface and an editable cloud-based configuration platform, allowing managers to intuitively understand equipment status and process configurations.

4. Remote Maintenance: Allowing engineers to remotely access equipment through secure network channels for PLC program uploads, downloads, and debugging operations, reducing the need for on-site visits.

5. Data Continuity: Ensuring data security and integrity through gateway data continuity and multi-network redundancy features, establishing standardized data management practices.