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Network Solution for Scolo Air Compressor Data Acquisition Remote Monitoring

https://zhuanlan.zhihu.com/p/2000532169475519770
As a professional provider of IoT data acquisition solutions and an expert in industrial IoT data acquisition, the editor of Shanghai Data Acquisition IOT Technology Co., Ltd, (daq-iot) hereby presents the following introduction, and sincerely welcomes discussions and exchanges.
Supported Communication Interfaces: CAN, RS485, Mbus, 4–20mA, Profibus, CC-Link, HART, digital I/O, etc.
Industrial Protocols: Modbus RTU/TCP, HJ212, IEC104, DLT645, DLMS, IEC61850, MQTT, etc.
Mail:export@daq-iot.com
asIoTData Acquisition solution Professional provider,Industrial Data AcquisitionExpert (professional), data acquisition IoT editor daq iot would like to introduce the following content here, and sincerely welcome everyone to discuss and exchange ideas.
As a professional internet of things data acquisition solutions provider, industrial data acquisition experts (professional households), digital internet of things editor daq - iot here to do the following introduction, and sincerely welcome everyone to discuss and exchange.
Can be adapted to controllers such as MAM-KY02S/MAM860/MAM880, providing Protocol instructions and register tables, which are included with the device.
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  • Full Data AcquisitionReal-time retrieves the operating parameters, energy consumption data, and fault information of the air compressor, and synchronously connects them to the post-processing equipment and Sensor data.
  • Stable remote communicationAdapt to various network environments in factories to ensure secure data transmission Low Latency, Support centralized management of devices across regions.
  • Intelligent Control O&MRealize remote start stop, parameter adjustment, fault warning, preventive maintenance, and reduce manual duty costs.
  • System compatibility expansion: Support docking with enterprise owned SCADA、 MES and ERP systems meet the integration requirements of digital factories.
  • Energy saving optimizationThrough multi machine linkage control and AI supply-demand matching, the gas to electricity ratio is reduced to achieveCompressed air systemEfficient operation.

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