Abstract: A system of providing power to a chip on a mainboard includes: a first power supply, located on the mainboard, and being configured to receive a first voltage and to provide a second voltage; and a second power supply and a third power supply, located on the mainboard and disposed at different sides of the chip, each of the second power supply and the third power supply is electrically connected to the first power supply to receive the second voltage, the second power supply provides a third voltage to the chip, the third power supply provides a fourth voltage to the chip, and ZBUS_2?5*(ZPS2_2+ZPDN_2), ZBUS_2 is bus impedance between the first power supply and the third power supply, ZPS2_2 is equivalent output impedance of the third power supply, and ZPDN_2 is transmission impedance between the third power supply and the chip.

Abstract: A high-precision intelligent detection method for bridge diseases based on spatial position. The method comprising: collecting images based on the high-definition image acquisition system; importing the image data and position information data into image processing software to create a mosaic image of each part of the bridge; importing the prepared spliced image map into the bridge disease intelligent identification system; obtaining the corresponding position and bridge of the bridge disease in the three-dimensional model of the bridge; identifying the stitched image map to obtain the size of the disease after identifying the bridge disease image and locating the bridge disease. The high-precision intelligent detection method for bridge diseases based on spatial position realizes automatic collection and intelligent analysis of bridge inspection data, reduces the workload of the inspection technicians and improves the detection efficiency.

Abstract: A high-precision intelligent detection method for bridge diseases based on spatial position. The method comprising: collecting images based on the high-definition image acquisition system; importing the image data and position information data into image processing software to create a mosaic image of each part of the bridge; importing the prepared spliced image map into the bridge disease intelligent identification system; obtaining the corresponding position and bridge of the bridge disease in the three-dimensional model of the bridge; identifying the stitched image map to obtain the size of the disease after identifying the bridge disease image and locating the bridge disease. The high-precision intelligent detection method for bridge diseases based on spatial position realizes automatic collection and intelligent analysis of bridge inspection data, reduces the workload of the inspection technicians and improves the detection efficiency.