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Many types of CNC lathes fault generally can be divided into five categories: CNC device fault; servo system fault; tool holder system fault; spindle system fault and other parts fault. Common fault as long as the correct analysis and judgment is not difficult to troubleshoot.

This paper introduces the server design of a personal cloud sync storage system based on Android mobile terminal, including system architecture, workflow and module design. According to the application characteristics of personal cloud, this thesis selects Servlet as the core development technology of server-side system, describes the development process of the personal cloud server based on Tomcat container and establishes a secure connection between the mobile terminal and the personal cloud server center. Under the LAN environment, the server system has successfully completed the function module of the test and assembly verification test. Test results show that the whole system runs in good condition and has certain applicative value.

For the realtime updating and strong randomness of the information, large RFID-based warehousing picking path optimization job requires to make decision continuously. It is different from the traditional picking path Problem. This paper proposed an Improved Ant Colony algorithm in order to solve the optimization of the large storage picking path based on RFID. Distributed Strategy, Dynamic Response Strategy and Time Waiting Strategy are adopted to improve the candidate set, meanwhile, adjust operator and parameter selection. Experimental results show that the convergence speed of this algorithm with high precision, a better solution to the optimization of picking operation based on RFID.

The motion-blurred image restoration has been the difficulty of the field of image processing. In this paper, proposed a motion-blurred length method based on Fourier transform of the parameter estimation method. The method improved the accuracy of the blurred length estimation. The method improved the effect of the motion-blurred image restoration. The experiments verified that the accuracy and feasibility of the method proposed.

In order to improve the positioning accuracy and reduce the localization cost, a kind of PSO-based RFID indoor localization algorithm is proposed in this paper. The main idea of this algorithm contains the following two aspects. First, due to the influence of none line of sight and multipath transmission in indoor environment, we adopt Gaussian Smoothing Filter to process Received Signal Strength Indicator (RSSI) values, which can reduce the impact of environmental factors on the position estimation effectively. Second, Particle of Swarm Optimization (PSO) algorithm is introduced to obtain a better positioning result. By experimenting in different indoor environment, the results demonstrate that the proposed approach can not only improve the precision of indoor localization, but has a lower cost and better robustness when compared to VIRE approach.