GPU (graphic processing unit) parallel technology based conductor sag calculation method
A wire sag and calculation method technology, applied in the field of electric power, can solve the problems such as the lack of parallel processing of sag data, reduced performance, and CPU performance is stretched, and achieves the effect of improving the processing speed and the accuracy of processing data.
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Embodiment 1
[0039] Such as figure 1 As shown, the present invention is a wire sag calculation method based on GPU parallel technology, which includes the following steps:
[0040] Step A) Obtain basic parameters during calculation, including meteorological area parameters and wire parameters;
[0041] Step B) Group the poles and towers into each tensile section according to the business rules of the electric power field, and calculate the pole and tower parameters and span parameters in each tensile section separately according to the basic parameters to obtain the pole and tower parameters and span parameters in each tensile section;
[0042] Step C) Obtain the tower parameters and the span parameters according to each tensile section in the GPU graphics processor, and calculate the stress of the wire and the sag of the wire in parallel. The grouping of poles and towers is a very common business rule in the electric power field, and is not the improvement of the present invention, and will not...
Embodiment 2
[0044] This embodiment is preferably as follows on the basis of embodiment 1: In step C), the sag of the wire is calculated in the form of dll based on OpenCL, and the calculated sag result is directly obtained through the API provided in the dll. data. Because the dll dynamic link library is a library containing code and data that can be used by multiple programs at the same time, it can share data and resources. Multiple applications can access the contents of a single DLL copy in the memory at the same time, and write programs on OpenCL heterogeneous platforms The framework uses dll dynamic link library to provide a framework for writing programs on OpenCL heterogeneous platforms to calculate sags. Compared with the previous frameworks that only use OpenCL heterogeneous platforms to write programs to calculate sags, it provides powerful parallel processing of data. The guarantee of data acquisition is more convenient and faster.
Embodiment 3
[0046] This embodiment is preferably as follows on the basis of the foregoing embodiment: In step C), the graphics card used by the GPU processor is Nvidia Quadro 2000. In the general case of rural distribution network design, the length of a project is about 10kM-100kM, and in order to ensure the accuracy of the sag coordinate calculation in the project, the line is generally calculated at 0.1m. In the case of the largest project, the software needs to calculate the coordinates of 1 million points. The following is the comparison of the same computer before and after the software application GPU calculation in this case:
[0047]
[0048] It can be seen from the above table that the Nvidia Quadro 2000 graphics card has superior performance, can accelerate the computing power of the GPU, and further improve the parallel processing capabilities of data.
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