Obstacle on the rail is the number one factor causing an accident for train transport. Therefore, a useful and practical monitor system plays an essential part in train safety. The new project from VGU tackles this matter with the use of wireless technology and simulation in research and has shown tremendous results.
1. Utilize the wireless technology application
Though not a new approach when it came to monitoring field, wireless technology has proved to be extremely convenient and call for further research to deploy its full potential.
Design of a new monitor system for railroad and obstruction based on wireless technology to improve train safety
Code number: B2018-VGU-07
Coordinator: Dr. Do Xuan Phu
Implementing institution: Vietnamese-German University
Duration: from 1st January 2018 to 1st January 2019. The project has been expanded to 31st December 2019
The main objective of the research project is to design, fabricate, and test the monitoring system for train rails based on a wireless technology system to detect safety barriers for railway traffic early. The parameters of the box follow the specific objectives as follows:
+ The size of the monitoring box is expected to be between 150 x 80 x 60 mm (length x width x height). This size depends on the sensor components, circuits, batteries,… arranged inside the box.
+ Energy-saving activities, with battery capacity operating 24/24 hours for a maximum of 1 month. The battery capacity lasts for a long time, depending on the data update adjustment to the monitoring wireless technology network.
+ Monitoring box for transferring data information is adjustable, at least 1 minute updated 1 time.
+ Connection to each other via a private wireless technology network, the connection distance between two consecutive boxes is 5 meters (this is the minimum expected range). As expected, the private network, however, if conditions allow it to be connected via the accessible internet in our country.
+ Range scan for a box within a distance of 5 meters. This is also the most extensive scan of the sensor system placed inside the box.
+ Monitoring box can use solar energy to provide monitoring. The estimated solar energy supply is 30 W. Note: this value does not include the solar cell conversion efficiency.
+ The ability of waterproofing in high rain conditions and the high humidity of our country.
+ The measurement error and information processing of the box does not exceed 5%. This difference is interpreted as the ability of the intelligent algorithm to apply in distinguishing shapes not exceeding 5% of the error.
3. Subjects of the study
Through the above analysis, the study object is the current railway monitoring system; the selected area is intersected with the residential road. The study will focus on designing the technical monitoring box with the most economical price and the wireless technology connection and development of the signal processing algorithm from the box. The design of a monitoring connection box is based on the following combinations:
a. The circuit connects the sensor and wireless signal: the circuit is selected so that the structure is compact, uniform (easy to replace), easy to repair and maintain.
b. Signal collection sensor: The expected signal is the signal from the shape sensor (infrared), distance signal, signal to detect moving objects.
c. Wireless technology signal generator circuit and from there will connect to the central signal processing cluster for the final result.
d. The battery pack maintains the operation of the circuits and sensors with the goal of enough energy and savings so that the longest use time. The maintenance of this energy depends on updating the signal over time, for example: 1 minute/time, 5 minutes/time,…
Signal processing connection design focuses on:
a. Signal processing algorithm: clustering method, adaptive method, fuzzy model algorithm, neural networks. These algorithms will be reviewed and developed in combination with each other to increase the processing capability against signal interference. This is the core of the signal processing connection design.
b. The basic hardware system to apply this algorithm: computers and connectors collect wireless technology data from the monitoring box.
4. Approach and method of the research
The study was approached by the method
a. Calculation in research: calculate the interconnection of devices together, the ability to use energy efficiently.
b. Simulation in research: the signal processing process is simulated on a computer to test the effectiveness of the proposed processing algorithm, the ability of the network system to be connected in collecting and processing.
Both methods use analytic operations and compute numbers as needed.
5. Creativeness and innovativeness – how wireless technology was utilized
a. The newness of the project:
Designing a high-performance and low-cost obstacle monitoring box using wireless technology in the market with many expensive surveillance devices is now one of the biggest challenges for the research team.
It is also the novelty of a modern surveillance device to be suitable for all users, from the railway industry to the households. The team has succeeded in producing equipment that satisfies very high requirements and completes the project with high quality, plus scientific publications with the highest levels of gray matter.
b. The creativity of the project:
The project has used existing equipment sold in the Vietnamese market to carry out manufacturing and also uses the existing telecommunications network in our country to communicate. This is the most exceptional creativity of the project, ensuring timely replacement of damaged equipment and utilizing the current wireless technology network to connect monitoring.
Through this objective review, the economic benefits for installing railway wireless technology monitoring boxes are quite high, accounting for 98.82% for 1 year, and if considering 5 years, the benefit-cost is 80.24%. This proves that when the research is successful, in addition to improving the safety of the railway system, economic benefits are also significantly improved.
If you are interested in the project, please feel free to contact the PI – Dr. Do Xuan Phu at firstname.lastname@example.org for further details.