3results about How to "Uniform configuration" patented technology

The application discloses a kind of urban sanitation vehicle collaborative perception management systems based on Internet of Things, and the application relates to the technical field of sanitation cleaning, lack of system analysis and mining of historical cleaning and transporting data, and the problem that the characteristics of garbage generation interval of each single route cannot be accurately mastered is solved, the application is based on the dynamic programming logic of the total amount of operation by combining analysis processing center, the route combination satisfying the requirement of transport capacity is filtered, and the optimal cleaning and transporting route is determined with the shortest travel distance as the core sorting principle, which effectively reduces the invalid driving mileage of sanitation vehicle, such as empty driving and detour, improves the cleaning and transporting efficiency of single sanitation vehicle per unit time;At the same time, through the scientific combination of multiple groups of to-be-planned routes, it is ensured that the transport capacity of sanitation vehicle is fully utilized, the resource waste phenomenon of part of vehicles overloading and part of vehicles idling is avoided, and the balanced allocation of regional sanitation vehicle transport capacity is realized.

The invention discloses a power supply configuration method for guaranteeing capacity adequacy based on selective options, and relates to the technical field of power system optimal configuration. The method comprises the steps of constructing a hybrid capacity adequacy mechanism, generating a market framework allowing a power generator and a user to autonomously select and participate according to the hybrid capacity adequacy mechanism, and generating operation profit and option cashing data according to a contract distribution scheme, and based on the operation profit and the option cashing data, constructing a power generator residual model considering risk preference, wherein the power generator residual model generates a residual value evaluation result. According to the method, the hybrid capacity adequacy mechanism including a scarcity pricing mechanism and a reliability option mechanism is constructed, indication information is selected according to the generated market framework and mechanism, a power generator and a user are allowed to autonomously select to participate in the corresponding mechanism, the operation efficiency of the energy market is optimized, the risk of a power system is reduced, and the capacity adequacy is ensured.

This invention belongs to the field of wireless communication technology and discloses a wireless communication resource scheduling method and system based on LSTM and QoS demand awareness in multi-slice networks. This invention introduces Long Short-Term Memory (LSTM) networks and time-series prediction technology, and integrates an improved SAC reinforcement learning algorithm to construct a QoS-aware multi-slice resource scheduling framework. This framework accurately predicts users' future movement trajectories and slice service demands through LSTM, and dynamically allocates RBGs (Resource Blocks) based on the exploration-utilization balancing capability of the improved SAC algorithm, achieving coordinated optimization of multi-slice QoS demands and global resource utilization efficiency. Extensive simulation results show that the scheduling scheme combining LSTM and the improved SAC algorithm proposed in this invention outperforms traditional DDPG and PPO algorithms, demonstrating superior performance in latency control, throughput improvement, and packet loss rate optimization.