IOT News

For enterprises aiming to achieve intelligent manufacturing and digital transformation, the most challenging and core aspect is the digitization of the production process.

 This is particularly true in the discrete manufacturing sector, where products are often assembled from multiple components through a series of discontinuous processes, involving numerous variables and uncertainties that need to be collected and monitored.

Taking the automotive manufacturing industry as an example, the production process includes stamping, welding, painting, and final assembly, utilizing equipment such as stamping machines, welding robots, painting robots, dryers, assembly robots, as well as ancillary PLCs, sensors, and instrumentation.

 Data points like temperature, pressure, flow rate, voltage, and current are crucial determinants of a vehicle's quality. In response, WideIOT provides data acquisition gateways that interface with PLCs, instrumentation, industrial robots, CNC machine tools, sensors, and other devices, facilitating data collection into MES (Manufacturing Execution System) or ERP (Enterprise Resource Planning) systems to provide reliable data support for production management.

Functional Characteristics

1. Data Acquisition: The gateway enables automated data collection from PLCs, instrumentation, industrial robots, CNC machine tools, sensors, and other devices, transmitting the data via 5G/4G/WIFI/Ethernet to cloud platforms or local upper computers, reducing manual recording and enhancing work efficiency.

2. Real-time Monitoring and Alerting: The system platform allows for real-time viewing of equipment operational status and process parameters from anywhere, providing functionalities such as equipment electronic archives, fault alerts, inspection and maintenance, and big data analysis.

    Fault alerts can be received through WeChat, SMS, or email, enabling timely measures and achieving a closed-loop management system.

3. Edge Computing for Data Standardization: Through the gateway's edge computing capabilities, data undergoes standardized processing, including intelligent collection, data filtering, alarm calculation, jump triggering, formula calculation, and grouping strategies.

    This eliminates device heterogeneity and achieves standardization, significantly reducing project R&D and construction costs.

4. Structured Data Processing and System Integration: Data is structured and output through standardized API interfaces, enabling data sharing with multiple information systems such as ERP, MES, and PLM, facilitating business collaboration and enhancing management efficiency. Simultaneously, visual data analysis tools enhance operational decision-making capabilities, promoting enterprise digital transformation.