PLC data acquisition is the process of collecting and monitoring data from PLCs. This process includes collecting real-time data from connected sensors and machines, continuously monitoring this information to track performance and detect anomalies, and analyzing the data to generate insights to optimize operations.
Additionally, PLC Data Acquisition integrates this information with higher-level systems such as SCADA (Supervisory Control and Data Acquisition) or MES (Manufacturing Execution System) to facilitate comprehensive monitoring.
Avec la vague technologique qui déferle sur tous les domaines de la vie, l'industrie textile traditionnelle connaît une profonde mutation sous l'impulsion des technologies intelligentes. Dans cette industrie traditionnelle à forte intensité de main-d'œuvre, l'efficacité et la qualité sont devenues les valeurs fondamentales poursuivies par les fabricants, et les équipements automatisés remplacent progressivement la main-d'œuvre dans un large éventail d'applications.
Pre-shrinking and sizing, as an important part of the textile production process, has a decisive impact on the quality of the finished product. However, this process often relies on experienced operators, and the lack of suivi en temps réel often leads to low productivity and inconsistent product quality.
Les points douloureux de l'industrie
The Solution of PLC Data Acquisition
IOTROUTER provides a PLC Data Acquisition remote monitoring system for pre-shrink sizing machines. Through the passerelle périphérique to achieve the whole process of data collection, analysis and feedback control from raw material input to production.
It provides an integrated information sharing platform for textile enterprises and equipment manufacturers, so as to provide intelligent applications such as remote monitoring, remote control, fault alarms, operation and maintenance management and remote maintenance for all parties, to strengthen the production management level and production efficiency, and to reduce the rate of defective products.
Field Layer: Comprises existing PLCs and additional sensors strategically positioned throughout the production line to capture comprehensive process data.
Edge Layer: Features industrial-grade edge gateways that perform local data processing, filtering, and preliminary analysis.
Communication Layer: Utilizes redundant network paths with industrial protocols to ensure reliable data transmission.
Platform Layer: Hosts the core data management, analytics, and visualization capabilities.
Application Layer: Delivers purpose-built applications for management.
Fonctions du système
1.Real-time Data Collection: Monitor equipment operation status and key process parameters, including temperature, humidity, and pressure, to ensure optimal performance.
2.Abnormal Early Warning Mechanism: Utilize algorithms to detect anomalies in production data, issuing alerts via various channels such as SMS, email, and social media to facilitate timely intervention.
3.Energy Efficiency Management System: Integrate meter access to track energy consumption and optimize scheduling, helping to reduce energy costs and improve overall efficiency.
4.Remote Maintenance Support: Enable manufacturers to perform remote programming and debugging of off-site PLCs, as well as upload and download programs seamlessly through Device Express.
5.Decision-making Aids: Leverage visual data analysis tools to inform production adjustments, empowering management to make informed strategic decisions.
6.Operation and Maintenance Management Scheduling: Create a standardized, visual, and traceable operation and maintenance process that allows for real-time intervention and control whenever necessary.
Résumé
The adoption of a robust PLC data acquisition system is critical to improving operational efficiency, ensuring product quality and maintaining a competitive edge in a rapidly changing marketplace.
As the industry continues to move toward greater automation and intelligence, textile manufacturers can increase productivity, reduce defect rates, and ultimately provide higher quality products to their customers.
