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PLC online monitoring control cloud configuration software SCADA [Copy link]

Solution Requirements

The Industrial 4.0 digital factory monitoring center monitors and reads the data of the air compressor unit in real time, controls the air compressor, and issues operating instructions: loading, unloading, starting or stopping. It realizes remote monitoring of the air compressor unit, provides fault prediction diagnosis, intelligent maintenance and equipment optimization operation, and at the same time ensures stable, efficient and low-consumption operation of the equipment, reduces the probability of air compressor failure and maintenance time, and improves the use capacity.

Technical deployment

The three-layer structure of the application Internet of Things: perception layer, network layer and application layer. The perception layer collects the real-time status data of the lower air compressor unit and transmits it to the application layer through the wireless transmission of the network layer. The application layer monitoring center system automatically or manually controls the air compressor. High temperature alarm and automatic adjustment of power consumption efficiency.

The air compressor unit is connected to the PLC controller and the joint control cabinet. The real-time operation data of the PLC, such as faults, pressure, temperature, current, main pipe compressed air pressure and flow, main pipe water flow and pressure, water pump and cooling tower motor current temperature flow and other data are transmitted through the transmission terminal DTU/NB-IoT/LoRa, and the data is transmitted to the network server according to the transmission terminal.

The management center accesses the data collected in the cloud through the computer monitoring software interface and issues control instructions to the air compressor unit. If there is no user command, the operation of the air compressor is automatically controlled according to the load pressure.

Advantages of the solution
★ Control of fan equipment, automatic start and stop of remote air volume;
★ Online air volume curve change trend;
★ Save and provide historical data for easy access and retrieval, and print data;
★ Real-time display of motor voltage, current, active power, reactive power, frequency and power factor and other real-time data, draw real-time curves of current and power to observe the changing trend.
★ Online working quantity monitoring, automatically start the standby machine when the machine fails.
★ Timely alarm when failure or pipe network pressure is lower than the standard value.
★ The system can self-diagnose and automatically detect and indicate faults: electrical faults, high exhaust temperature, air filter fault alarm, oil rate fault alarm, idling too long start and stop, etc., to achieve unattended automatic continuous operation.
This content is created by EEWORLD forum user Xin Yangbang. If you need to reprint or use it for commercial purposes, you must obtain the author's consent and indicate the source

Latest reply

The author wants to introduce the "monitoring and control cloud configuration software" to everyone, but I don't see the "cloud" application here? This is a DCS (distributed control system). Factories generally don't use systems from small companies. Usually Siemens WINCC is more commonly used, and other chemical companies also mostly use products from large companies. For small projects of small companies, KingView is fine.  Details Published on 2019-3-4 18:56
Personal signature企业口号:IoT因人而异
  企业使命:开智慧物联之门,圆万物互联之梦。
 
 

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The author wants to introduce the "monitoring and control cloud configuration software" to everyone, but I don't see the "cloud" application here? This is a DCS (distributed control system). Factories generally don't use systems from small companies. Usually Siemens WINCC is more commonly used, and other chemical companies also mostly use products from large companies. For small projects of small companies, KingView is fine.
 
 
 

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