Wireless self-diagnostic intelligent sensor

Abstract

A wireless self-diagnostic intelligent sensor consists of a hardware embedded system and a monitoring terminal, and is characterized in that the hardware embedded system is interconnected via wifi and Bluetooth with the monitoring terminal which is a computer, a PDA or a mobile phone; the hardware embedded system receives sampling control parameters and sensor information to achieve a related data acquisition function, and connects and transmits the acquired data to a remote spot check management monitoring terminal for data processing and failure analysis and diagnosis; and the hardware embedded system includes a piezoelectric vibration acceleration sensor, an infrared temperature sensor, a laser rotational speed sensor and a low-power Bluetooth 4.0 transmission module, the piezoelectric vibration acceleration sensor, the infrared temperature sensor and the laser rotational speed sensor complete the real-time detection, the degree of deterioration of condition monitored production equipment is analyzed according to vibration, temperature and rotational speed condition monitoring data and the vibration spectrum analysis technology (FFT), and the cause of failure of a unit is automatically given based on an expert system.

Description

technical field [0001] The invention belongs to the field of spot inspection of mechanical equipment, vibration signal monitoring and equipment failure analysis and diagnosis, and particularly relates to a wireless self-diagnosis intelligent sensor. Background technique [0002] Modern process industries, such as metallurgy, petrochemical, electric power and other industries, are all composed of extensively coupled equipment groups. The scale is getting larger and larger, and the links between various production links are becoming closer and closer, forming a production chain with overall correlation, and constantly moving towards high efficiency. , high speed, large capacity, high strength, systematization and automation. The functions of the equipment are increasing, the performance indicators are getting higher and higher, and the composition and mechanism are becoming more and more complex. On the one hand, this greatly promotes the improvement of production efficiency. ...

AI Technical Summary

Problems solved by technology

[0007] The inspection equipment is not intelligent, and the diagnosis is not accurate, which makes the middle managers lack the confidence to implement the system. They are busy with the concept, but the actual effect is extremely poor.