Intelligent industrial data management system based on Internet of Things controller
An industrial data and management system technology, applied in technical management, comprehensive factory control, electrical program control, etc., can solve problems such as resource waste and equipment loss, and achieve the effect of speeding up maintenance and maintenance efficiency
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Embodiment 1
[0039] like figure 1 As shown, the intelligent industrial data management system based on the IoT controller includes an industrial management platform, and the industrial management platform is communicatively connected with a device monitoring module, an abnormality analysis module, a fault analysis module and a storage module.
[0040] The equipment monitoring module is used to monitor and analyze the operating status of industrial production equipment: mark the industrial production equipment as the monitoring object, obtain the vibration data ZD, noise data ZS and temperature data WD of the monitoring object, and the vibration data ZD of the monitoring object is the monitoring object. The vibration frequency value generated when the object is working, the vibration frequency value is directly obtained by the vibration sensor. The vibration sensor is one of the key components in testing technology. Its function is to receive the mechanical quantity and convert it into propo...
Embodiment 2
[0049] like figure 2 As shown, the intelligent industrial data management method based on the IoT controller includes the following steps:
[0050] Step 1: The equipment monitoring module monitors and analyzes the operating status of the industrial production equipment and obtains the working coefficient of the monitoring object, compares the working coefficient with the working threshold, and marks the monitoring object as a normal object or abnormal object through the comparison result. When the object runs abnormally, it will give feedback in time to prevent the operation of industrial production equipment in an abnormal state and affect the normal progress of industrial production;
[0051] Step 2: The abnormality analysis module analyzes the abnormality of the abnormal object and obtains the abnormality ratio and floating coefficient of the abnormality object. According to the numerical value of the abnormality ratio and the floating coefficient, the abnormality object i...
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