Study on Early Fire Behavior Detection Method for Cable Tunnel Detection Robot
With the increase of cable tunnels and improvement of inspection requirements, different types of inspection robots have been designed and applied to the inspection and fire protection of cable tunnels. Due to the complex environment of the cable tunnel, it is difficult for existing robots to conduct fire detection and diagnosis effectively. Therefore, a fire detection method of cable tunnel robot based on support vector machine (SVM) is proposed. According to the actual tunnel size, a simulation model is established to calculate the smoke concentration and temperature variation of tunnels under different fire power. Considering the dynamic detection of robot, the characteristics of the measured data are analyzed. The SVM model is trained by using the sample characteristic data, and then the test data is used for testing. The accuracy of the test is up to 95%.
KeywordsSplit type robot Insulator detection Electric field analysis Test experiments
This study was funded by the State Grid Corporation Headquarters Science and Technology Project (524625160014).
- 1.Hui, Z., Ruiming, Q.: Mechanism design of a new kind of inspection robot for cable tunnel and track optimization simulation. Mach. Des. Manuf. Eng. 47(3), 61–65 (2018)Google Scholar
- 6.Fu, Z., Chen, Z., Zheng, C., et al.: A cable-tunnel inspecting robot for dangerous environment. Int. J. Adv. Robot. Syst. 5(3), 243–248 (2008)Google Scholar
- 7.Wei, H., Zhen, R.G., Ge, J., et al.: Research of patrol robot for electrical cable corridor. Autom. Instrum. 12, 13–16 (2013)Google Scholar
- 8.Ling, F., Huaxia, Y., Dong, F.W.: Research on the moving structure of split cable tunnel inspection robot. Process Autom. Instrum. 38(6), 46–50 (2017)Google Scholar