IOT News

With the rapid growth of the e-commerce economy, the logistics industry is facing not only increasingly higher parcel volumes but also greater diversity in package types, larger batch sizes, and faster processing speeds. Traditional manual sorting methods fall short in terms of cost, efficiency, and accuracy. Moreover, rising labor costs are placing an ever-heavier financial burden on businesses.
To improve sorting efficiency and accuracy, express delivery companies have begun upgrading their sorting processes with intelligent technologies, transitioning from manual sorting to automated sorting systems. As a result, demand for automatic sorting equipment and related systems has grown significantly. To address this, WideIOT offers an IoT data acquisition solution that connects to PLCs, enabling real-time collection and transmission of equipment operating parameters to a remote cloud monitoring platform. This effectively enhances management capabilities and responsiveness, ensuring smooth and efficient logistics operations.

Key Features

1. Data Acquisition  
The system connects to controller PLCs for automated data collection, and transmits the data to cloud platforms or host computers via 5G/4G/Wi-Fi/Ethernet, ensuring data security and transmission stability.

2. Real-Time Monitoring  
It monitors equipment operating status, process parameters, alarm frequency, item counts, and other key metrics, displaying them visually on the platform. Managers can access important information anytime, anywhere via mobile phone or computer.

3. Abnormal Alerts  
Customizable alert thresholds and notification methods can be configured in advance. When abnormal data is detected, the system automatically sends notifications via WeChat, SMS, or email, enabling rapid fault localization and remote start/stop control.

4. Remote Maintenance  
Engineers can perform remote programming, debugging, and program upload/download operations on PLCs located at different sites. This significantly reduces troubleshooting time, lowers travel costs, and minimizes downtime losses.

5. Data Analytics  
Using big data dashboards, the system conducts in-depth mining and analysis of historical data, providing scientific decision-making support for different users. This facilitates after-sales service improvements and drives innovation in new product development.