What are the common methods for factory data collection?

Building a high-quality smart factory hinges critically on the method of data acquisition. Beyond traditional approaches such as software interfaces and open databases, smart factories aiming to swiftly capture market share must integrate with intelligent systems.

Time:2022-04-15

The pace of smart factory construction is accelerating. To build a high-quality smart factory, the method of data collection is crucial. In addition to traditional approaches such as software interface-based data collection and open database methods, smart factories must integrate intelligence to rapidly capture market share. Let us now explore the novel data collection approach introduced by Alps System Integration (Dalian) Co., Ltd.

To accelerate the development of smart factories, Alps System Integration (Dalian) Co., Ltd. (referred to as "ALSI") has developed the Smart Maintenance System to enable precise collection of factory equipment data, emphasizing the value of data. The ALSI Smart Maintenance System employs ALSI algorithms to conduct in-depth data collection on equipment, predicting equipment usage patterns while intelligently managing spare parts—tracking their storage, inbound, and outbound movements, as well as inventory levels. This minimizes unnecessary resource waste for smart factories.

Smart factories transcend traditional manufacturing methods, aligning more closely with the demands of modern markets. Thus, accelerating the construction of smart factories is an inevitable trend for enterprise transformation.

Click to view: How Important Is MES for Building a Smart Factory?

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