| Vehicle Weigh-in-Motion (WIM) systems were rapidly developed following transportation investigation, controlling serious vehicle overload and weighing charge. For the highway weigh-in-motion systems, the weighing accuracy and the speed of vehicle moving were the most important standard specification. It indicated the technical level of WIM systems. At present, when the WIM systems were studied in our country, the contradiction on identifying accuracy and vehicle passing speed can't be resolved well all along, for the disturbing factors affecting the WIM systems were short of systemic analysis and the inspecting signal wasn't processed further. So it was important to resolve the contradiction on identifying accuracy and vehicle passing speed.At present, the WIM systems were studied on the base of wheel load and axle load, this paper discussed the way of axle load. For improving identifying accuracy, first, this paper analyzed all kinds of influence factors to WIM systems, including vehicle speed, vehicle liberation, road surface, and so on. Second, the restraint ways of disturbance could be realized by both hardware method and software method.The design of hardware consisted of the design of weighing platform and the design of integrated circuit. The integrated circuit was mainly made of signal disposal, A/D converters, data collection, measuring velocity, display and data communication with personal computer circuit.For dynamic weighing systems data, according to discussing advantage and disadvantage of all data processing ways and experimentation data of dynamic vehicle measuring, the neural network arithmetic was applied to figure WIM systems. The experimental result of the realization by MCU (Micro Control Unit ) had proved the feasibility and validity of this method, measuring errors accorded with the request of ASTM E1318-94 specification type IV WIM systems, the method improved effectively the contradiction on identifying accuracy and vehicle passing speed. |
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