Urban road noise source intensity predicting method and device
A noise source, strong prediction technology, applied in the direction of instrument, calculation, electrical digital data processing, etc., can solve the problem of inaccurate prediction of urban road noise source intensity.
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Embodiment 1
[0062] Embodiment 1 of the present invention discloses a method for predicting urban road noise source intensity, which is applied to a device for predicting urban road noise source intensity. The flow chart of the method is as follows figure 1 shown, including the following steps:
[0063] S101, recording the current flow value, current speed value and current environment information of each type of vehicle on the target city road within the first preset time period, each type of vehicle includes large vehicles and small and medium-sized vehicles, and the current environment information includes current lane values;
[0064] In the process of executing step S101, collect the vehicle flow and speed values of each model that can represent the average level of the target city road for a period of time, such as predicting the urban road traffic noise source intensity value of the target city road for one year, and this year can be selected 3 to 5 normal working days;
[0065] ...
Embodiment 2
[0073] In combination with the above-mentioned method for predicting the source strength of urban road noise disclosed in Embodiment 1 of the present invention, such as figure 1 In the shown step S103, the specific execution process of pre-constructing the urban road noise source intensity prediction model is as follows: figure 2 shown, including the following steps:
[0074] S201, select a reference type of vehicle from each type of vehicle and construct an initial urban road noise source intensity prediction model, wherein the parameters of the initial urban road noise source intensity prediction model include speed, number of lanes, type conversion coefficient, flow rate of the reference type of vehicle, and For the flow rate of vehicles of non-reference type, the vehicle type conversion factor is the ratio of the noise value of non-reference type vehicles to the noise value of reference type vehicles;
[0075] Specifically, in step S201, the specific execution process of...
Embodiment 3
[0110] Based on the methods for predicting urban road noise source intensity disclosed in the above-mentioned embodiments, the third embodiment of the present invention discloses a corresponding device for implementing the above-mentioned method for predicting urban road noise source intensity, and its structural diagram is as follows Figure 5 As shown, the urban road noise source intensity prediction device 500 includes: an information recording module 501, a first calculation module 502 and a second calculation module 503, and the second calculation module 503 includes a model building module 504;
[0111] The information recording module 501 is used to record the current flow value, current speed value and current environment information of each type of vehicle on the target city road within the first preset time period. Each type of vehicle includes large vehicles and small and medium-sized vehicles, and the current environment information Including the current lane value;...
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