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It is vitally important to improve effects of error compensation for horizontal photoelectric theodolite and reduce production costs by executing rational control of verticality error of shafting. This paper analyzes the mechanism how the verticality error of shafting influences measurement precision of photoelectric theodolite considering the architectural characteristics of the frame of horizontal theodolite. Matlab software has been used to simulate pointing accuracy. Verticality error of shafting of horizontal theodolite has been detected. Measured verticality error of shafting is 37 and detection error is 10. Results of analysis and detection to be applied for error compensation can improve pointing accuracy of the theodolite.

The concept of "detailed search" near the extreme value by local search function of neighborhood search algorithm for operation optimization problem of discrete manufacturing system on train bogie is raised for the first time; the optimal solution of objective function based on process constraints genetic algorithm is taken as the initial value of neighbor function to search better solutions than it in the current neighbor, and the global optimal solution.

Development of modern information technology provides a technical platform for the wide application of virtual instrument technology. Here we apply virtual instrument technology to test the faults of wiring harnesses, such as short circuit , broken circuit , wiring error , poor contact, poor insulation and unsatisfactory impedance and monitor the product quality at real-time. We use LabVIEW of the graphical programming language based on virtual instrument as the tool to develop the testing software. It realizes the functions such as the data acquisition, storage, analysis and display, single point wiring harness testing, all wiring harness testing, impedance testing, query and statistics, etc. We uses software instead of hardware so that functions can be added or cut down at random without adding any other hardware facilities.

For tackling job scheduling problems encountered with discrete manufacturing system for 380km/h motor bogie, Object-oriented Petri Net based Job-Shop Cell Controller System (OPNCC) was brought forward identifying categories of all objects within cell control model, describing relationship between categories, analyzing and recognizing cell control logic through the dynamic behavior of physical objects and introducing control decision and strategy into the control logic of as designed OPN model, thereby constituting a complete object-oriented cell control model. With improved genetic algorithm, it can offer dynamic optimization to balanced production of multiple work pieces on several machine tools so that the machine tools can be utilized to a maximum extent.