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MOM panoramic view

MOM panoramic view

Manufacturing Execution System (MES)

Manufacturing Execution System (MES)

Warehouse Management System (WMS)

Warehouse Management System (WMS)

AGV Control and Scheduling System

AGV Control and Scheduling System

IOT data acquisition and monitoring system

IOT data acquisition and monitoring system

Overview of LinkedData IOT Data Collection and Monitoring System

The IOT (Internet of Things) data collection and monitoring system uses IoT technology to collect various data from production equipment, measuring devices, instruments, robots, and external sensors. It achieves real-time, impartial, efficient, and automated data collection and monitoring.

IOT Technical Architecture
Overview of LinkedData IOT Data Collection and Monitoring System

Industry Pain Points

Industry Pain Points
Unclear Equipment Status

Equipment may fail, leading to downtime and production interruptions. Prolonged downtime can reduce production efficiency and increase maintenance costs.

Unbalanced Production Line

The production line may be unbalanced and have bottlenecks, leading to inefficient production processes.

Resource Waste

Energy may be wasted during production. High energy consumption increases production costs and burdens the environment.

Environmental Condition Requirements

Conditions such as temperature and humidity in the production environment can affect product quality. Inappropriate environmental conditions can lead to quality issues.

Product Functions

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- Equipment Collection Variable Configuration

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- Millisecond-level Data Collection and Monitoring

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- Temporal Data Storage

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- Data Anomaly Monitoring

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- Support for Various Mainstream PLC and NC System Data Collection

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- Support for Coordinate Measuring Machines and Various Measuring Instruments Data Collection

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- Support for Robots, Instruments, and Sensors Data Collection

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- Customized Data Collection Methods

Product Value

Product Value

Real-time Data Acquisition arrow

The IOT system achieves predictive maintenance by monitoring equipment status in real-time, identifying potential faults early, and reducing downtime.

Automated Data Acquisition arrow

Automated data collection reduces the need for manual data entry and monitoring, lowering labor costs. This allows enterprises to use human resources more efficiently and focus on higher-value tasks.

Unified Data Source and Big Data Processing arrow

devices, sensors, and systems into an integrated view. This comprehensive view helps in a more thorough understanding of business, equipment, and processes. Big data processing capabilities allow enterprises to handle large datasets, perform advanced analysis, and mining, uncovering patterns, trends, and insights hidden in the data, thus supporting smarter decision-making and strategic planning.

Rapid Anomaly Response arrow

Rapid anomaly response quickly detects and responds to anomalies in the production process, reducing production line downtime. Timely detection and resolution of problems can minimize production interruptions, improving production efficiency and quality.