Based on automated guided vehicle (AGV), the intelligent parking system provides a novel solution to the difficulty of parking in large cities. The automation of parking/pick-up in the system hinges on the path planning efficiency of the AGV. Considering the numerous disconnected paths in intelligent parking systems, this paper introduces the fallback strategy to improve ant colony optimization (ACO) for path planning in AGV-based intelligent parking system. Meanwhile, the valuation function was adopted to optimize the calculation process of the heuristic information, and the reward/penalty mechanism was employed to the pheromone update strategy. In this way, the improved ACO could plan the optimal path for the AGV from the starting point to the destination, without sacrificing the search efficiency. Next, the optimal combination of ACO parameters was identified through repeated simulations. Finally, a typical parking lot was abstracted into a topological map, and used to compare the path planning results between the improved ACO and the classic ACO. The comparison confirms the effectiveness of the improved ACO in path planning for AGV-based intelligent parking system. INDEX TERMS Intelligent parking, automated guided vehicle (AGV), path planning, ant colony optimization (ACO).

ABSTRACT

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The release is the key component of operation mechanism of circuit breaker. Its current waveform contains many information. The fault diagnosis of circuit breaker can be realized by analyzing the current waveform of coil. Firstly, the combination method of wavelet analysis and seeking extreme points in region extremum is proposed to obtain the feature values of coil current of circuit breakers. Then, a novel intelligent particle swarm optimization (PSO) algorithm was adopted to search the optimal parameters of support vector machine (SVM). Finally, a high-performance SVM with optimal parameters is constructed for fault diagnosis. The experimental results show that the method can achieve a high fault diagnosis accuracy.

Abstract. Vertical metal tank is an important compulsory verification metrology instruments of energy trade transfer in China. The metrology of its capacity is accurate or not, directly affecting economic interests and national metrology reputation at home and abroad. In the paper, through the establishment of 50000m3 vertical metal tank bottom finite element model, the tank weight and the water static pressure conditions are simulated, and vertical metallic bottom stress analysis and research is carried out. Respectively vertical metal tank volume of 1000m3,5000m3,10000m3 were simulated and analyzed at different heights of the tank water level , summarizing the deformation law of tank bottom. Compared capacity comparison method with geometric measurements method by a volume of 5000m3 vertical metal tanks , the reliability of the simulation conclusion is verified. The empirical formula is to be modified, thereby improving the accuracy of capacity of trade transfer metering and ensuring the safe use of the tanks.