Abstract: Provided is a method and device for low-carbon integrated energy system scheduling. A specific embodiment of this method comprise: obtaining the energy device information set for each energy device in the virtual power plant; generating the acquisition cost information for each energy device based on an energy device name, energy device parameter information and an energy device number in the energy device information set; generating the energy scheduling objective values and the parameter information of each energy device based on the preset constraint sets and energy acquisition cost information of each energy device; controlling each energy device in the virtual power plant to execute the energy scheduling tasks based on the objective energy device parameter information.

Abstract: Provided is a method and device for low-carbon integrated energy system scheduling. A specific embodiment of this method comprise: obtaining the energy device information set for each energy device in the virtual power plant; generating the acquisition cost information for each energy device based on an energy device name, energy device parameter information and an energy device number in the energy device information set; generating the energy scheduling objective values and the parameter information of each energy device based on the preset constraint sets and energy acquisition cost information of each energy device; controlling each energy device in the virtual power plant to execute the energy scheduling tasks based on the objective energy device parameter information.

Abstract: A pressure-preserving conventional triaxial compression loading apparatus of the present invention includes a pressure vessel, an upper piston rod, a lower piston rod, and an annular oil bag assembly. Hollow chambers of the pressure vessel in vertical communication sequentially include an upper chamber, an upper sealed chamber, a confining pressure chamber, a lower sealed chamber, and a lower chamber from top to bottom. The annular oil bag assembly is placed in the confining pressure chamber. When an annular inner chamber of an annular oil bag is filled with medium, an outer wall of the annular oil bag and an inner wall of the confining pressure chamber are attached together. A fidelity specimen is placed in a specimen chamber defined by a lower end surface of the upper piston rod, an upper end surface of the lower piston rod, and an inner wall of the annular oil bag. A variety of measuring sensors are disposed in the annular inner chamber of the annular oil bag.

Abstract: A pressure-preserving conventional triaxial compression loading apparatus of the present invention includes a pressure vessel, an upper piston rod, a lower piston rod, and an annular oil bag assembly. Hollow chambers of the pressure vessel in vertical communication sequentially include an upper chamber, an upper sealed chamber, a confining pressure chamber, a lower sealed chamber, and a lower chamber from top to bottom. The annular oil bag assembly is placed in the confining pressure chamber. When an annular inner chamber of an annular oil bag is filled with medium, an outer wall of the annular oil bag and an inner wall of the confining pressure chamber are attached together. A fidelity specimen is placed in a specimen chamber defined by a lower end surface of the upper piston rod, an upper end surface of the lower piston rod, and an inner wall of the annular oil bag. A variety of measuring sensors are disposed in the annular inner chamber of the annular oil bag.

Abstract: Various embodiments may include methods executed by processors of computing devices for geometry based work execution prioritization. The processor may receive events, such as images. The processor may overlay a boundary shape on the event to identify discard regions of the event lying outside the boundary shape. The processor may identify work regions of the events lying within the working boundary shape. The devices may determine a cancellation likelihood for each of the identified work regions of the events. The processor may assign a trimming weight to each of the identified work regions based on the determined cancellation likelihoods. The processor may then add each of the identified work regions as a work item to an execution work list in an order based on the assigned trimming weights. The work items may be processed in order of trimming weight priority.

Abstract: Various embodiments may include methods executed by processors of computing devices for geometry based work execution prioritization. The processor may receive events, such as images. The processor may overlay a boundary shape on the event to identify discard regions of the event lying outside the boundary shape. The processor may identify work regions of the events lying within the working boundary shape. The devices may determine a cancellation likelihood for each of the identified work regions of the events. The processor may assign a trimming weight to each of the identified work regions based on the determined cancellation likelihoods. The processor may then add each of the identified work regions as a work item to an execution work list in an order based on the assigned trimming weights. The work items may be processed in order of trimming weight priority.

Abstract: Various embodiments may include methods executed by processors of computing devices for geometry based work execution prioritization. The processor may receive events, such as images. The processor may overlay a boundary shape on the event to identify discard regions of the event lying outside the boundary shape. The processor may identify work regions of the events lying within the working boundary shape. The devices may determine a cancellation likelihood for each of the identified work regions of the events. The processor may assign a trimming weight to each of the identified work regions based on the determined cancellation likelihoods. The processor may then add each of the identified work regions as a work item to an execution work list in an order based on the assigned trimming weights. The work items may be processed in order of trimming weight priority.

Abstract: Various embodiments may include methods executed by processors of computing devices for geometry based work execution prioritization. The processor may receive events, such as images. The processor may overlay a boundary shape on the event to identify discard regions of the event lying outside the boundary shape. The processor may identify work regions of the events lying within the working boundary shape. The devices may determine a cancellation likelihood for each of the identified work regions of the events. The processor may assign a trimming weight to each of the identified work regions based on the determined cancellation likelihoods. The processor may then add each of the identified work regions as a work item to an execution work list in an order based on the assigned trimming weights. The work items may be processed in order of trimming weight priority.