7results about How to "Improve service efficiency" patented technology

The present disclosure provides a pre-order allocation method and device, and relates to the technical field of Internet application. A specific embodiment of the method comprises the following steps: determining a journey starting point and a journey starting time corresponding to a pre-order to be allocated; determining a target time for allocating the pre-order according to the journey starting point and the journey starting time; and allocating the pre-order in response to the arrival of the target time. This embodiment can allocate the pre-order at a more reasonable time, avoiding the problem that the service provider waits for a long time after receiving the order or does not successfully match the service provider until the order journey starting time, thereby improving the service efficiency and the utilization rate of service resources.

This application discloses an adaptive energy-saving operation control system and method for escalators that detects passenger flow, relating to the field of intelligent control technology. It solves the technical problem in existing technologies where the threshold is generally set to a fixed value when comparing passenger flow with a threshold. This can lead to congestion and potentially stampedes during peak periods like holidays. This application utilizes data sensors to collect real-time passenger flow data entering the escalator area; it controls the escalator's start and stop based on the real-time passenger flow; it adjusts the escalator's operating speed based on the real-time passenger flow; it predicts passenger flow based on historical data; and it determines the escalator's maintenance and inspection time based on the prediction results. This system not only controls start and stop but also adjusts the operating speed based on real-time passenger flow. Appropriate speed reduction can bring exponential energy savings, directly reducing electricity costs and extending equipment lifespan.

The application relates to a taxiway path optimization method and system for reducing potential conflicts in a flight area, belonging to the technical field of airport scheduling methods, which considers potential conflicts between aircrafts and aircrafts and between aircrafts and ground service vehicle routes, and constructs a mixed integer quadratic programming model for aircraft taxiway path optimization, with a main target of minimizing potential conflicts between aircrafts and aircrafts and between aircrafts and vehicles, and a secondary target of minimizing ground service vehicle driving distances; the aircraft taxiway path optimization model is solved, and an optimal solution is output, including aircraft taxiing paths and ground service vehicle service paths, types and quantities of potential conflicts, and the results can be used for reanalysis by adjusting parameters, thereby providing reference for airport aircraft and vehicle scheduling decision makers. Compared with the prior art, the application considers the safety of ground traffic and the convenience of passengers, and optimizes the allocation of aircraft landing and taking-off aprons and runways and the taxiing paths in an all-round way, which helps to guarantee the safety of taxiways and improve the operation efficiency of airports.

The application discloses a quantum circuit scheduling method and related device, and belongs to the technical field of quantum computing. The method comprises the following steps: obtaining the topology structure of a target quantum circuit as a first topology structure, wherein the target quantum circuit is a quantum logic circuit which initiates a scheduling request but has not been scheduled in the current batch of scheduling; determining a target physical bit group allocated to the target quantum circuit based on the first topology structure and a first mapping relationship, wherein the first mapping relationship is a mapping relationship between each second topology structure in a topology set and an available physical bit group, and the topology set is composed of all possible second topology structures determined by the physical bit layout of a quantum computing platform; when there are still quantum logic circuits which have not been scheduled and available physical bit groups in the current batch of scheduling, selecting one of the quantum logic circuits which have not been scheduled as a target quantum circuit, and returning to execute the step of obtaining the topology structure of the target quantum circuit as the first topology structure; when there is no available physical bit group, or when there is an available physical bit group but all quantum logic circuits which initiate a scheduling request have been scheduled, executing the target quantum circuit which has been allocated the target physical bit group in parallel. The application improves the service efficiency and throughput of the quantum computing platform.

The application discloses an intelligent question answering method and device, electronic equipment and storage medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring question information; searching a first knowledge base according to the question information; the first knowledge base stores a plurality of question-answer pairs constructed according to static information data; if a matched target question is searched, outputting the corresponding answer; otherwise, inputting the question information into a question answering model to obtain an answer output based on a second knowledge base; the second knowledge base stores a plurality of knowledge vectors constructed according to dynamic information data. According to the application, the question-answer pairs are constructed according to the static information data, and the knowledge vectors are constructed according to the dynamic information data, so that the workload of manually entering data can be reduced, and the timeliness of the answering basis can be improved; by searching the first knowledge base first, and outputting the answer based on the second knowledge base by the question answering model in the case of a miss, the answering failure or error can be reduced, and the question answering efficiency can be improved.

This invention relates to a knowledge graph-based intelligent customer service question-and-answer precision recommendation and processing method, belonging to the field of electronic digital data technology. The method includes: constructing a conversation prediction knowledge graph based on the historical conversation counts from multiple channels; predicting the future conversation counts from multiple channels based on the conversation prediction knowledge graph and the current conversation counts from multiple channels; setting the number of robot agents and human agents based on the future conversation counts from multiple channels; accessing conversations from multiple channels, using robot agents to perform semantic understanding of user questions in the conversation, constructing a user demand profile, and determining whether to assign a human agent; if so, assigning the optimal human agent based on the status data of the human agent; if not, generating answers based on the user demand profile, conducting a dialogue, and generating recommended questions based on a question association graph. The question association graph records the relationships between multiple questions, which has the advantage of improving the quality and efficiency of customer service.

This invention provides an artificial intelligence decision-making method and system for a healthcare service platform. First, the medical knowledge graph module of the AI ​​decision-making system is activated and a preset set of domain parameter configurations is loaded. Next, the system receives real-time health consultation content and associated historical treatment sequence text pushed by the user from the healthcare service platform. Then, the received content undergoes medical semantic parsing and intent recognition processing to generate a user health problem representation vector and clinical decision-making need classification labels. Based on the medical knowledge graph module and the domain parameter configuration set, multi-round associative reasoning is performed to generate health risk assessment results and clinical intervention strategy suggestions. Finally, based on the health risk assessment results, a platform service response instruction is generated and sent to the business processing module to trigger the health service response process, thereby improving the service quality and efficiency of the healthcare service platform.