6results about How to "Minimize consumption" patented technology

This invention relates to the field of byte processing technology, providing a method and apparatus for accelerating byte encryption and decryption. The invention adds operation bits to bitwise operation instructions; uses corresponding operation bits to perform byte selection, endianness conversion, single-input multiple shift processing, and / or efficient table lookup operations. Specifically, byte selection avoids invalid bit calculations, improving instruction utilization. Endianness conversion ensures correct data order, minimizing duplicate data requests due to order errors, thus reducing the need for bitwise operations and improving GPU bandwidth utilization. Single-input multiple shift processing reduces the number of shift instructions, increasing throughput and avoiding repeated loading of the same data; efficient table lookup operations improve bitwise computation throughput, significantly reducing bandwidth pressure. This invention optimizes the granularity of bitwise operations, enabling encryption and decryption algorithms to efficiently utilize computing resources on the GPU while minimizing bandwidth consumption.

This invention relates to a pheromone-inspired multi-UAV autonomous coverage method, comprising the following steps: Step S1, constructing a coverage scene map of multi-UAV autonomously collecting data on natural disaster areas; Step S2, constructing a multi-UAV path pheromone map based on a pheromone aggregation model and marking the multi-UAV paths; Step S3, defining a state function, action function, and reward function according to the multi-UAV autonomous coverage task, establishing a neural network-based multi-UAV autonomous coverage model, and training it; Step S4, performing multi-UAV autonomous coverage using the trained multi-UAV autonomous coverage model. Compared with existing technologies, this invention has the advantages of high efficiency and energy saving, high coverage, and wide applicability.

The application discloses a kind of mobile multi-view picture data acquisition methods based on graph neural network, comprising the following steps: S1, collect multi-view picture data and carry out repair preprocessing, construct preliminary image dataset;S2, the image is divided into several image blocks, and input in the improved ViT model and carry out preliminary processing, according to the processing weight of each image block dynamic allocation according to task priority;S3, the arrangement order of image block is optimized in combination with bird swarm algorithm, maximizes labeling accuracy and minimizes the consumption of computing resources;S4, the optimized image block arrangement order is input into the improved ViT model again, and the labeled image block is obtained;S5, the relationship between the labeled image block is modeled using graph neural network, and the image block relationship graph is generated;S6, according to the labeled image block and image block relationship graph, generate final image dataset.The application combines graph neural network, improved ViT model and bird swarm algorithm, etc., and optimizes multi-view image data acquisition and labeling.

The invention discloses a solar energy coupling medium-deep layer-shallow layer geothermal energy storage and supply system, particularly relates to the technical field of clean energy utilization, and comprises a PVT solar panel, a deep layer geothermal well, a shallow layer geothermal well, a heat pump system, a heat storage water tank, a storage battery, a control unit, and pipelines, valves and a circulating water pump which are used for connecting all the components, the multifunctional adjusting valve is connected with the two-way variable-frequency circulating water pump, the stop valve body and the preheater. According to the solar energy coupling medium-deep layer-shallow layer geothermal energy storage and supply system, the PVT solar panel capable of synchronously completing photoelectric conversion and heat energy collection, the medium-deep layer geothermal well capable of obtaining high-temperature heat energy and the shallow layer geothermal well capable of utilizing shallow layer heat resources are coupled, and diversified utilization of clean energy and self-consistency of internal energy are achieved; carbon emission is reduced from the source; meanwhile, photovoltaic green electricity generated by the PVT solar panel is stored in the storage battery, energy supply interruption when solar power generation is insufficient is avoided, and a self-sufficiency and standby reliable energy supply mode is formed.

The invention relates to an energy-saving mode control method of a vehicle-mounted air conditioner, a vehicle and a vehicle-mounted system.The energy-saving mode control method of the vehicle-mounted air conditioner comprises the steps that remaining travel information of the vehicle is obtained; when the remaining travel information is lower than a preset travel threshold value, whether the comfort evaluation index of the physical environment in the compartment of the vehicle is within a preset physiological comfort range or not under the operation of the vehicle-mounted air conditioner is judged; if yes, the energy-saving mode of the vehicle-mounted air conditioner is controlled to be started. According to the method, the starting time of the energy-saving mode can be determined on the basis of the remaining travel information in combination with judgment of the comfort state of the vehicle-mounted air conditioner, so that the energy consumption of the vehicle-mounted air conditioner can be minimized while the comfort of passengers is ensured to be maximized, and the comfort of the passengers and the energy efficiency utilization efficiency of the vehicle-mounted air conditioner are both considered.

The invention discloses an intelligent weeding method and system based on a deep learning algorithm, and relates to the technical field of laser weeding, and the method comprises the steps: data collection, analysis, laser adjustment, synchronous collection of multispectral images, thermal imaging images and surface temperature data, and fusion of spectral reflection characteristics and thermal radiation characteristics of vegetation. Through analysis of the environment average temperature and the vegetation spectral index, according to real-time illumination and temperature conditions, the contribution proportion of the spectral features and the thermal features in the fusion process is adjusted, the sensing blind area of a single sensor under strong light, shadow or dust fog is overcome, and meanwhile in combination with laser irradiation parameters generated based on weed information and land surface temperature data, the detection accuracy is improved. And the minimum and sufficient inactivation energy of each weed is analyzed through an ecological energy analysis formula, the balanced energy release is realized according to whether the soil temperature exceeds an ecological protection threshold value or not, and the energy consumption is minimized and the potential thermal shock to the soil ecology is reduced on the premise of ensuring the weeding effect.