1. Structural Health Monitoring of Bridges

Traditional bridge inspections are mainly done by visual and manual methods. Normally when the crack defects become apparent, the big cracks can be detected, which increases the time and cost of maintenance, and may even lead to catastrophic disasters with the loss of life and property. How to find the hidden danger of the bridges as soon as possible has become an important means to ensure the safe operation and the good health of the bridges.

Acoustic emission technology has been used in many bridge maintenance and health inspections at home and abroad. With the development of cloud computing and Internet of Things, Qingcheng company has developed the remote intelligent acoustic emission monitoring system, RAEM1. It can alarm the AE defect signals by early warnings, prejudge faults severity and determine fault locations, in order to reduce and even avoid large accidents. At the same time, it can be promoted by gradually improving the remote intelligent acoustic emission monitoring system of bridges structure health.

2. Structural Health Monitoring of Wind Power Structures

According to statistics, the investment in the maintenance of wind power equipment is huge. Therefore, health monitoring of wind power structures and early detection and warning of the early stage fatigue damage crack of equipment are of great significance for early warning of disasters, avoiding failures and improving production efficiency. 

With the development of cloud computing and Internet of Things, Qingcheng company has developed the remote intelligent acoustic emission monitoring system, RAEM2. It can alarm the defects problems by early warnings, prejudge faults severity and determine fault locations, in order to reduce and even avoid unplanned shutdown, over-maintenance, and large accidents.  

3. Bearing Monitoring For Rotating Machinery

Generally, bearings work in a harsh environment, so it is also the most vulnerable components in the rotating machines. The environmental noise is too large and the bearing fault signal is weak so that the noise signals sometimes cover or even annihilate the fault signals. Therefore, timely and accurate extraction of faulty signals is the premise of bearing fault diagnosis.

Acoustic emission technology has great advantages in early prediction and diagnosis of rolling bearing faults. With the development of cloud computing and Internet of Things, Qingcheng company has developed the remote intelligent acoustic emission monitoring system, RAEM2. It can alarm the defects problems by early warnings, prejudge faults severity and determine fault locations, in order to reduce and even avoid unplanned shutdown, over-maintenance, and large accidents.

4. Cutting Tools Monitoring

Industrial statistics show that the cutting tool failure is the primary factor causing machine tool failures. Therefore, it is very important to research and develop intelligent monitoring technology to prevent the workpiece scrap and equipment damage caused by tool failure and to ensure the machine operation without failure.

Acoustic emission technology is a mainstream indirect measurement method for tool wear monitoring. With the development of cloud computing and Internet of Things technologies, Qingcheng company has developed the remote intelligent acoustic emission monitoring system, RAEM2. It can alarm the defects problems by early warnings, prejudge faults severity and determine fault locations, in order to reduce and even avoid unplanned shutdown, over-maintenance, and large accidents.

5. Pipelines and Valves Monitoring

If the pipelines and valves can be in real-time monitoring, which can quickly and accurately determine whether there is leakage and the leak location, not only it can prevent further deterioration of the pipeline structures and minimize the leakage, but also it can make the emergency timely processing, so that the loss is to the minimum.

Acoustic emission detection technology has been proved to be an effective method to detect leakage of valves and pipelines. With the development of cloud computing and Internet of Things technologies, Qingcheng company has developed the remote intelligent acoustic emission monitoring system, RAEM2. It can alarm the defects problems by early warnings, prejudge faults severity and determine fault locations, in order to reduce and even avoid unplanned shutdown, over-maintenance, and large accidents.

6. Aerial Work Platform AE Testing Monitoring

According to ASTM F914-03 standard, this kind of aerial work platform needs to undergo regular quality and safety testing. Early detection of early stage of cracks or dangers to avoid major accidents, to ensure the safety of mechanical use and of the aerial work personnel is of great significance.

Acoustic emission detection technology is widely used as the detection technology boom type aerial work platform around the world. With the development of cloud computing and Internet of Things technologies, Qingcheng company has developed the remote intelligent acoustic emission monitoring system, RAEM1, with the automatic acquisition, intelligent analysis of the acoustic emission signals and the wireless data transmission. It can alarm the problems by early warnings, prejudge faults severity and determine fault locations, in order to reduce and even avoid large accidents.