Abstract: The present disclosure provides a silicon bar rinsing device comprising: a rinsing portion, wherein the rinsing portion is a cavity having a upper opening and is configured to rinse the silicon bar; an adjusting portion disposed in the rinsing portion; a compressed air pipeline disposed on a side of the rinsing portion and communicated with the rinsing portion; a reuse water pipeline disposed on an other side of the rinsing portion opposite to the compressed air pipeline and communicated with the rinsing portion; and a control unit disposed on a upper end of the rinsing portion and configured to control turning on or off of the silicon bar rinsing device.

Abstract: A training method of underwater sea urchin image recognition model, and underwater sea urchin image recognition method and device are provided. The training method includes: constructing an underwater sea urchin image recognition model, acquiring an underwater sea urchin image dataset; performing MSRCR on the underwater sea urchin image dataset; processing the underwater sea urchin image dataset by a dark channel prior method; performing image fusion to obtain a fused image dataset; sharpening the fused image dataset to obtain a training image dataset; and training the underwater sea urchin image recognition model by using the training image dataset. By performing MSRCR and dark channel prior processing on the image, and then performing image fusion and sharpening based on a point sharpness weighting method, the quality of image is improved, and an accuracy of subsequent sea urchin object detection is improved.

Abstract: This application provides an insulation resistor detection circuit, which includes a state control unit, which is connected between a positive electrode and a negative electrode of a power supply of a to-be-detected apparatus; a first voltage division branch that is connected in parallel to a first capacitor to obtain a first voltage waveform, a second voltage division branch that is connected in parallel to a second capacitor to obtain a second voltage waveform; and a processor that is connected to the state control unit, the first voltage division branch, and the second voltage division branch; determines a next switching moment based on the first voltage waveform and the second voltage waveform that are at a current moment; and control, at the next switching moment, the state control unit to switch a state.

Abstract: A power distribution apparatus includes: a base, a high-voltage connection part and a low-voltage connection part being fixed on the base, a high-voltage loop, a circuit board disposed on the base, a low-voltage loop integrated into the circuit board and electrically connected to the low-voltage connection part, and tabs. At least a portion of the high-voltage loop is disposed on the base. The high-voltage loop is electrically connected to the high-voltage connection part, has a positive-electrode connection end and a negative-electrode connection end, and includes a disconnecting switch core fixed on the base. A first end of each of the tabs is electrically connected to the high-voltage loop, and a second end of each of the tabs is plugged into the circuit board for electrical connection with the low-voltage loop.

Abstract: A training method of underwater sea urchin image recognition model, and underwater sea urchin image recognition method and device are provided. The training method includes: constructing an underwater sea urchin image recognition model, acquiring an underwater sea urchin image dataset; performing MSRCR on the underwater sea urchin image dataset; processing the underwater sea urchin image dataset by a dark channel prior method; performing image fusion to obtain a fused image dataset; sharpening the fused image dataset to obtain a training image dataset; and training the underwater sea urchin image recognition model by using the training image dataset. By performing MSRCR and dark channel prior processing on the image, and then performing image fusion and sharpening based on a point sharpness weighting method, the quality of image is improved, and an accuracy of subsequent sea urchin object detection is improved.

Abstract: This application provides an insulation resistor detection circuit, which includes a state control unit, which is connected between a positive electrode and a negative electrode of a power supply of a to-be-detected apparatus; a first voltage division branch that is connected in parallel to a first capacitor to obtain a first voltage waveform, a second voltage division branch that is connected in parallel to a second capacitor to obtain a second voltage waveform; and a processor that is connected to the state control unit, the first voltage division branch, and the second voltage division branch; determines a next switching moment based on the first voltage waveform and the second voltage waveform that are at a current moment; and control, at the next switching moment, the state control unit to switch a state.

Abstract: A network architecture for updating control units in a remote network such as in a vehicle comprises an administration module, a verification module and an agent module. The administration module formulates a policy for governing the update of control units based on context information about the control units provided to the administration module. In formulating the policy, the administration unit takes account of compatibility between the control units with regard to versions of the update so that the update can succeed. Or, if the update fails in whole or part, a stable state of the remote network can nevertheless still be obtained, since the administration module may provide error handling procedures for the agent module when errors are encountered during update.