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Electrospinning Machine PLC Data Collection, Monitoring, and Alarm System Solution

From: WideIOT  

Time:2025-12-31 10:57:49 

Electrospinning, as the simplest and fastest method for preparing nanofibers, boasts characteristics such as high porosity and large specific surface area, making it widely applied in the production of wastewater filtration materials, medical protective materials, sensors, and more.

 The principle involves stretching, evaporating, and solidifying polymer solutions or melts under high-voltage electrostatic environments, ultimately depositing them onto a receiving device to form nanofiber membranes. In this process, PLC control operations are crucial.

During electrospinning, data such as voltage, current, temperature, and humidity significantly impact product quality.

 The ability to monitor abnormal data in real-time and manage it promptly has become a standard for uating work outcomes. By connecting the PLC of the electrospinning machine to the WideIOT industrial smart gateway, real-time data collection and communication can be achieved, enabling fault alarms and remote maintenance to help maintain a safe and stable production order while reducing material waste and other losses.

Solution

Connect the PLC of the electrospinning machine to the industrial smart gateway via serial or network ports. The gateway automatically parses protocols and conducts around-the-clock data collection, gathering critical parameters such as voltage, current, temperature, and humidity, and uploading them in real-time to an industrial IoT platform.

 This facilitates data visualization, monitoring, fault alarms, equipment management, remote maintenance, and data analysis, allowing for timely measures to be taken to manage and control operations, thereby avoiding major accidents and economic losses.

System Functionalities

  1. Data Collection: The gateway features diverse PLC protocol parsing and data collection capabilities, supporting connections to cloud platforms or upper computers via 5G/4G/WIFI/Ethernet, establishing a real-time communication network for local and remote monitoring.

  2. Edge Computing: Supports various edge computing functions such as intelligent data collection, filtering, alarm calculation, trigger jumping, formula calculation, and grouping strategies, eliminating equipment heterogeneity and achieving standardization, thereby significantly reducing project R&D and construction costs.

  3. Fault Alarms: Users can quickly configure alarm rules and notification methods. Upon detecting abnormal fault data, rapid alarms are triggered, supporting notifications via WeChat, SMS, email, etc., to inform of alarm information and generate maintenance work orders.

  4. Remote Operation and Maintenance: The gateway, paired with equipment maintenance express lines, can swiftly establish a data channel to remote equipment sites, enabling remote configuration, debugging, diagnosis, and program updates for on-site equipment.

  5. Equipment Management: Enables editing and management of equipment information nationwide, remotely viewing equipment location distribution, quantity types, working parameters, alarm events, etc., facilitating flexible and efficient resource scheduling and allocation.

  6. Data Analysis: Through various visual data charts, equipment fault levels, maintenance efficiency, and working performance can be uated and analyzed, supporting informed decision-making and intelligent management upgrades.

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