What are the forms of data collection in a smart factory?

There are typically several methods for device data acquisition: 1) Traditional manual collection; 2) Ethernet mode collection; 3) RFID technology collection; 4) PLC data collection; 5) Sensor data collection.

Time:2022-12-22

In a Smart Factory, production lines are diverse and equipment types complex, making unified management of equipment data particularly important. There are typically several methods for equipment data acquisition: 1) Traditional manual collection, which suffers from low efficiency and high error rates—companies invest time and effort, yet the data obtained cannot support production decisions. 2) Ethernet-based collection, which uses the CSMA/CD protocol; in industrial networks, protocol conflicts can cause data disconnection and reconnection, and when network load is too high, it may jeopardize network security and equipment safety within the factory. 3) RFID technology collection, which can read equipment data tags quickly and efficiently, but deployment costs are high due to the prices of transmitters, readers, and other equipment. 4) The biggest drawback of PLC data acquisition gateways is protocol incompatibility—different PLC manufacturers have different protocols and fixed interfaces, making them unable to meet the data acquisition needs of various devices in a Smart Factory. 5) Sensor-based data acquisition, as the mainstream method in today's industrial IoT, has long been favored by enterprises.

Smart Factory

Alps System Integration (Dalian) Co., Ltd., leveraging internationally leading sensor technology and drawing on the practical experience of Alps Alpine's seven domestic factories, has developed the intelligent data collector TS-10 by segmenting personalized scenario needs within the Smart Factory. This collector offers low acquisition costs, high efficiency, and 100% accuracy. At the same time, it deploys smart dashboards for factories to achieve information flow visualization, helping factories carry out on-site lean improvements.

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