Bluetooth scanner usable in hazardous locations. Streamline inventory management.
In the oil industry, inventory management involves working in hazardous locations where flammable substances are present. Safety is the top priority, and it is necessary to suppress the generation of sparks and static electricity. While barcode-based inventory management is efficient, traditional equipment may lack explosion-proof performance. The explosion-proof scanner EXSC can wirelessly read barcodes even in explosion-proof areas. This enables the streamlining of inventory management while ensuring safety. 【Usage Scenarios】 - Oil plants - Chemical factories - Hazardous material warehouses - Streamlining inventory management 【Benefits of Implementation】 - Safe data collection in hazardous locations - Streamlined inventory management - Reduced working time - Decreased errors
Inquire About This Product
basic information
【Features】 - Explosion-proof Bluetooth scanner - Wireless barcode reading - Compatible with USB keyboard interface / RS232C interface - Supports 2D codes - Contributes to the construction of explosion-proof MES systems 【Our Strengths】 Asahi Kasei Engineering Corporation provides plant engineering, plant life services, and electrical, information, communication, and control solutions to support our customers in solving their challenges. We offer consistent engineering from design and construction to maintenance, proposing optimal solutions.
Price range
Delivery Time
Applications/Examples of results
We achieved systematization in explosion-proof areas where the introduction of information terminals was difficult. By combining explosion-proof scanners with the system, we reduced batch loss. Additionally, manufacturing traceability was realized, contributing to thorough manufacturing management.
catalog（2）
Download All Catalogs
Company information
Asahi Kasei Engineering Corporation is a company that conducts design, procurement, and construction (EPC) with an eye toward maintenance, and also proposes appropriate maintenance based on design data. In addition to maintenance, it is also possible to propose information systems that consider production efficiency and production losses. In terms of maintenance, we are developing equipment diagnostic devices that utilize digital technology.
