IoT Solution for Digital Transformation in Discrete Manufacturing Industry

For enterprises aiming to achieve smart manufacturing and digital transformation, the most challenging and core aspect lies in digitizing 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. The production process involves numerous variables and uncertainties, all of which need to be captured and monitored.

Taking the automotive manufacturing industry as an example, the production process includes stamping, welding, painting, and final assembly.

 The equipment involved ranges from stamping machines, welding robots, painting robots, drying ovens, and assembly robots to ancillary PLCs, sensors, and instrumentation. Data such as temperature, pressure, flow rate, voltage, and current are crucial determinants of a vehicle's quality. In response, WideIOT provides data acquisition gateways that connect to PLCs, instrumentation, industrial robots, CNC machine tools, sensors, and other equipment, facilitating the transfer of data to MES or ERP systems and providing reliable data support for production management.

Functional Characteristics

1. Data Acquisition:
   • The gateway enables data acquisition from PLCs, instrumentation, industrial robots, CNC machine tools, sensors, and other equipment.
   • Data is transmitted to cloud platforms or local upper computers via 5G/4G/WIFI/Ethernet, automating the data acquisition process, reducing manual recording, and enhancing work efficiency.
2. Remote Monitoring and Management:
   • Managers can view equipment operational status and process parameters anytime and anywhere on the system platform.
   • Features include equipment electronic archives, fault alarms, inspection and maintenance logs, and big data analysis.
   • Fault alarm information can be received via WeChat, SMS, or email, enabling prompt actions and achieving a closed-loop management system.
3. Edge Computing:
   • The gateway's edge computing capabilities enable standardized data processing, including intelligent acquisition, data filtering, alarm calculation, jump triggering, formula calculation, and grouping strategies.
   • This eliminates equipment heterogeneity and achieves standardization, significantly reducing project R&D and construction costs.
4. Data Structuring and Integration:
   • Data is structured and output through standardized API interfaces, enabling data sharing with multiple information systems such as ERP, MES, and PLM.
   • This facilitates business collaboration and enhances management efficiency.
   • Visual data analysis tools strengthen operational decision-making capabilities, promoting digital transformation within the enterprise.