Research On Safety Production Key Technology Of Oversize/Overweight Transportation Enterprises

In recent years, all kinds of industrial equipment have developed towards largeand heavy with the accelerated process of industrialization in China. More and moredevices’ single piece weight more than100tons in the significant projects related tothe national economic construction and national defense construction, such aspetrochemical, metal smelting, mining, and power plant construction. Large logisticsenterprises of the carriage of such equipment are also booming developments. Due tothe particularity of such equipment, the safe production of large logistics enterpriseshas not only become the core work of these enterprises’ concern in the process ofoperation, but also directly related to the successful completion of the key projectssuch as people’s livelihood. In this paper, on the basis of studying the features of largelogistics enterprise safe production, the concept of large logistics enterprise safeproduction systems was proposed. This paper studied constraints and key technologiesof the carrying vehicle group subsystems, the tractor group subsystems and the pathsubsystem by abstracting the main factors that affect the safe production of largelogistics enterprises. The system optimization goals were safety first by taking cost intoaccount. The full text of research mainly includes the following sections:Firstly, the overall research on large logistics enterprise safe production systems.For a high degree of complexity and uncertainty of this process, the main features oflarge logistics enterprise safe production systems were studied. This paper extractedthe main factors that affect this system in accordance with system structure of thecarrying vehicle group subsystems, the tractor group subsystems and the pathsubsystem. It studied the optimization goals and key constraints of large logisticsenterprise safe production systems and established the overall framework of it.Secondly, this paper studied the models and algorithms of the carrying vehiclegroup subsystems and the tractor group subsystems. The models and algorithms ofcarrying vehicle group force reliability were established according to the staticphysical properties and three-point support model of carrying vehicle group, and thecarrying vehicle group force reliability was evaluated from four dimensions whichincluded main beam moment, main beam shear, main beam deformation and axial load.Then, the models and algorithms of moving stability were proposed according to thedynamic characteristics of the carrying vehicle group moving, and the moving stabilityof a whole vehicle group was evaluated through lateral stability, longitudinal stability, and the collapse point stability. This paper put forward the models and algorithms ofbanding reliability by considering banding parameters and binding characteristics ofthe carrying vehicle group, and assessed the banding reliability from carryingequipment’s forward slide, forward overturn, lateral sliding and the tendency of lateraloverturn. On the basis of automobile driving theory, the models and algorithms oftraction reliability were established and evaluated through two aspects which includedriving force and tractor weight by considering the empirical formula of traction lossunder the high-altitude condition.Thirdly，according to the problem of poor ability to OS/OW car group through thecorner, a models was built for hydraulic flat-panel trailer group, hydraulic powergooseneck car group and Long cargo cross-loading group to simplify the study, andstudy deeply the key physical quantities impacting the turn. Dynamic iterativealgorithm about key physical quantities was proposed through mathematical modeling,and dynamic computer simulation was realized based on algorithm. According to theproblem of the poor ability to OS/OW car group through the bridge, the models ofOS/OW car group through simply supported bridge, continuous beam bridge and archbridge, dynamic algorithm was put forward to assess the bridge passing ability ofOS/OW car group.According to the highway transportation route selection optimization problem, inorder to minimize the transportation costs, highway transportation route selectionoptimization model was established based on delivery time window, customer servicetime, overloading punishment, vehicle loading, traffic volume restricted, and improvedgenetic simulated annealing algorithm was proposed, the two layer coding means aboutvehicle volume and carrying capacity was presented, so, initial multi-population wasgenerated, outstanding individual migration sharing was achieved by competing witheach other among all populations, eventually the optimal solution was found. So, thispaper provided a new solution about highway transportation routing problem.Finally, a large logistics enterprise safe production system was designed based onthe findings of this paper. Each subsystem module of this system was designed indetailed on the basis of web service platform by using B/S structure. Then, the validityof the models and algorithms proposed in this paper to solve this kind specialtransportation problem was verified through the application examples.