Research On Port Machinery Metal Structure Stress On-line Monitoring And Diagnosis System

Economic globalization accelerated the development of harbor logistics and caused that ports become the link about city economy, regional economy and national economy. The improvement of capacity and efficiency in port accelerated the progress of port machinery towards larger, faster and automation and made a new demand for the security of port machinery.Metal structure is the skeleton of port machinery enduring the weight of transmission mechanism itself and other load. Large port machinery usually has large load moving high, large mobile range and large load weight, which need enough structure strength. Stress strain test is the main methods to research the structure strength of port machinery.The deep application and development of the sensing technology, communication technology, diagnosis technology and some other technology in the industrial field, have provided a comprehensive and effective platform for the stress monitoring and diagnosis. In view of machinery's modern management condition, this paper proposed the port machinery stress on-line monitoring and diagnosis research thought, after analyzing the domestic and foreign monitoring and diagnosis technological development. Embarking from the stress monitoring method and the diagnosis theory, this paper established a port machinery stress online monitoring and diagnosis neural network expert system, which is based on the network monitoring technology formed by the reliable sensing, wireless transmission and distribution, and the system has been applied in a real engineering project. This topic research has certain application value to guaranteeing the port machinery security, reducing the management maintenance cost and raising the port facilities management level.The full text is divided into eight chapters. Chapter one briefly elaborated the research goal and significance, and made general narration on the domestic and foreign related machinery stress monitoring and diagnosis technology's present situation and development. In Chapter two, the port machinery stress monitoring and diagnosis theory was analyzed, and the contrast research based on the strain monitoring and the fiber grating sensing's stress monitor technology was conducted. In this part, it was also proposed that the neural network expert system's diagnosis strategy constructed by improved BP algorithm, based on the analysis of the forward reasoning expert system and the theory of neural network's self-learning.In chapter three, the Bragg fiber grating strain sensing and the demodulation theory with emphasis was studied. Firstly, the Bragg fiber grating theoretical model was analyzed by using pair matched molds theoretical, and then established a Bragg fiber grating strain sensing model. The glue type strain sensor's performance stability also has been analyzed. In addition this part has done deep research on the fiber grating sensor wave length signal's demodulation technology.Chapter four focused on the resistance strain electrical measurement technology based on embedded system. It also made thorough analysis on the resistance strain dynamic monitoring method, the measuring error and the bridge connection. Then it proposed a solution program aimed at the strain gauges and other instrument's reliability. The ARM9 embedded system's applied technology in resistance strain electrical measurement was analyzed, and the realization of serial data connection technology was studied based on the Profibus field bus agreement embedded system.In chapter five, the wireless data transmission's key technology was studied based on the GPRS with emphasis, separately from GPRS and embedded system's data interface, wireless network to pass data and the data central server's load equalization algorithm.In chapter six, the stress diagnose expert system's neural network model was established, according to a systematic elaboration of harbor large machinery diagnosis stress analysis method. And this paper studied the port machinery stress diagnose system's several key problems in the neural network knowledge library, the inducing equipment and the design method of interpreter as well as the software development process.In chapter seven, the designing method of the port stress monitoring diagnosis technology's software and hardware was analyzed through a applied case. This part also elaborated the development of structural stress on-line monitoring and diagnosis system separately based on the Bragg fiber grating sensing and the resistance strain electrical measurement.In chapter eight, the paper's main research work and achievement were summarized generally, and the forecast to the research work and development direction in the future was made.