Abstract: The present disclosure involves a calculation method and device for intelligent cutting squid white slices, the calculation method being implemented on the device for intelligent cutting squid white slices. The calculation method may be implemented on a calculation device, the calculation device may have at least one processor and at least one storage medium including an instruction set used for intelligent cutting the squid white slices, the calculation method including: reading a laser point cloud data of a three-dimensional (3D) topography of the squid white slices; optimizing the laser point cloud data; extracting an effective area of the squid white slices; determining a cutting zero point; determining a cutting process area; and determining optimization of a cutting point position and a cutting angle. The one or more embodiments provided by the present disclosure may satisfy the needs of large-scale continuous production in factories, reduce labor costs, and improve production efficiency.

Abstract: The present disclosure involves a calculation method and device for intelligent cutting squid white slices, the calculation method being implemented on the device for intelligent cutting squid white slices. The calculation method may be implemented on a calculation device, the calculation device may have at least one processor and at least one storage medium including an instruction set used for intelligent cutting the squid white slices, the calculation method including: reading a laser point cloud data of a three-dimensional (3D) topography of the squid white slices; optimizing the laser point cloud data; extracting an effective area of the squid white slices; determining a cutting zero point; determining a cutting process area; and determining optimization of a cutting point position and a cutting angle. The one or more embodiments provided by the present disclosure may satisfy the needs of large-scale continuous production in factories, reduce labor costs, and improve production efficiency.

Abstract: The present disclosure involves an intelligent method and device for cutting squid white slices, the intelligent method being implemented on the intelligent device for cutting squid white slices. The method may be implemented on a calculating device, the calculating device may have at least one processor and at least one storage medium including an instruction set used for cutting the squid white slices, the method including: reading a laser point cloud data of a three-dimensional (3D) topography of the squid white slices; optimizing the laser point cloud data; extracting an effective area of the squid white slices; determining a cutting zero point; determining a cutting process area; and determining optimization of a cutting point position and a cutting angle. The one or more embodiments provided by the present disclosure may satisfy the needs of large-scale continuous production in factories, reduce labor costs, and improve production efficiency.

Abstract: The present disclosure involves an intelligent method and device for cutting squid white slices, the intelligent method being implemented on the intelligent device for cutting squid white slices. The method may be implemented on a calculating device, the calculating device may have at least one processor and at least one storage medium including an instruction set used for cutting the squid white slices, the method including: reading a laser point cloud data of a three-dimensional (3D) topography of the squid white slices; optimizing the laser point cloud data; extracting an effective area of the squid white slices; determining a cutting zero point; determining a cutting process area; and determining optimization of a cutting point position and a cutting angle. The one or more embodiments provided by the present disclosure may satisfy the needs of large-scale continuous production in factories, reduce labor costs, and improve production efficiency.

Abstract: A worm-like soft crawling robot driven by an exergonic chemical reaction, including a body system, an exothermic reaction system and a vacuum system. The body system includes a left head shell, a left flexible body shell, a left reaction chamber, a right reaction chamber, a right flexible body shell and a right head shell. Elastic transmission parts are installed in the flexible body shells in a matched way. The exothermic reaction system includes chemical fuel storage units and exothermic reaction stimulation devices. The vacuum system includes vacuum suction cups, vacuum exhaust tubes and vacuum pumps.

Abstract: A high-precision control system and method for shipborne cryogenic flash freezing of an aquatic product using liquid nitrogen is described. The system may include a main control system, a display unit, a liquid nitrogen supply system, a valve control unit, an acquisition unit, and a power unit. A flash freezing process is divided into four stages: a precooling stage, a flash freezing stage, a deep freezing stage, and a thermal insulation stage. Different cooling rates and flash freezing times are used for different stages, where a cooling rate is used in the flash freezing stage is the highest, a cooling rate used in the deep freezing stage is next, a cooling rate used in the precooling stage is the lowest, and an ambient temperature in a device is kept stable in the thermal insulation stage.