10results about How to "Reduce idle rate" patented technology

This invention discloses a MaaS dynamic bus route and station planning method and a trip optimization method based on spatiotemporal clustering. The MaaS algorithm based on spatiotemporal clustering, within a defined boundary area of ​​no more than 25 square kilometers, determines bus routes and stops based on existing public transport demand where both origin and destination are within this area, according to established spatiotemporal clustering rules. It then returns the determined bus routes, stops, and estimated arrival times to passengers using the planned bus routes and stops. The application of this invention maximizes the convenience of public transport, reduces unnecessary waiting time and connection distances, increases bus occupancy rates, reduces the probability of empty bus runs, and minimizes stops at unnecessary stops, thereby improving operational efficiency.

The embodiment of the invention discloses a warehouse elevator scheduling method, computer equipment and a computer readable storage medium. The warehouse elevator scheduling method comprises the following steps: constructing a scheduling algorithm to process received task information so as to determine a reservable object; determining a reservation mode according to the task information, and obtaining a reservation form; processing the reservation form according to the reservation mode so as to determine a target object from the reservable objects; and generating and outputting a scheduling queue based on the target object. Therefore, the reservable object can be determined firstly through the scheduling algorithm, so that the workload of the multiple elevators in the warehouse is balanced, the load balance of the elevators is optimized, local congestion and resource idleness are avoided, and the overall scheduling efficiency is improved. The real-time state and resource occupation condition of each connection point can be dynamically reflected by using the reservation form, channel resources are reserved in advance in combination with a pre-locking mechanism, dynamic reservation scheduling and path cooperative control of the elevator are realized, and the response speed and stability of the system are remarkably improved.

The utility model discloses butt joint conveying equipment for magnetic core production. The butt joint conveying equipment comprises a base, a supporting column and a conveying frame rotationally arranged on the supporting column. A driving unit is arranged below one end of the conveying frame; a transmission belt is arranged between the driving unit and the redirection unit; a rotating unit for driving the conveying frame to rotate is arranged on the supporting column. The driving unit is provided with a driving roller, and the redirection unit is provided with a redirection roller. The conveying device is composed of a base, a conveying frame capable of being rotationally adjusted, a driving unit and a redirection unit, wherein the driving unit and the redirection unit are distributed on the conveying frame. A transmission conveying system is formed by the driving unit, the redirection unit and a transmission belt to convey goods. The middle of the conveying frame is rotatably connected with the supporting column, so that the angle of the conveying frame can be adjusted according to the actual working condition, the butt joint between different devices is met, and the applicability is wider; the utility model has the advantages of no need of manual transportation, time and labor saving, no need of massive arrangement of conveying belts, low cost and high utilization rate.

The application discloses a dynamic route hybrid expert model reasoning method, system, device and medium, which are corresponding solutions, and in the solutions: through automatic parallel strategy search, the application can divide the model into pipeline stages with balanced running time, reduce the idle rate of the calculation unit, and effectively improve the execution efficiency of the calculation unit; and the automatic search process of the application can reduce the maximum pipeline stage running time as much as possible under the condition of meeting the memory limit, so that the reasoning performance of the model is improved.

The invention discloses an edge network cloud-oriented dynamic resource scheduling method, and relates to the field of edge computing. The edge network cloud-oriented dynamic resource scheduling method comprises the following steps: S1, data acquisition; s2, constructing a multi-dimensional evaluation model; s3, hierarchical scheduling judgment; and S4, scheduling execution and dynamic adjustment. According to the dynamic resource scheduling method oriented to the edge network cloud, multi-dimensional data of edge nodes, tasks and a cloud center are collected in real time, a resource supply and demand matching degree evaluation model of dynamic weight is constructed, and scheduling is judged in a layered mode according to'edge local, edge collaboration and cloud center ', so that the one-sidedness of evaluation only through a CPU / memory in an existing scheme is fundamentally solved, and the dynamic resource scheduling efficiency is improved. The resource supply and demand matching degree evaluation error is reduced, the time delay compliance rate of the time delay sensitive task is improved, and the low-time-delay and high-precision core scheduling requirements of the edge network cloud architecture are met.

The application relates to the field of encrypted data collaborative processing, and discloses a privacy protection-oriented encrypted data collaborative processing system and method, wherein the privacy protection-oriented encrypted data collaborative processing method comprises the following steps: converting clear data of each subject into cipher text through secure multi-party computation, and accessing a system through a trusted execution environment; performing parallel computation on the cipher text data through a privacy computation special acceleration chip of a Chiplet architecture; combining a chip and a software platform to integrate a national encryption algorithm, an international standard algorithm and a federal learning framework, and constructing a cipher text computation processing environment; uniformly scheduling chip and memory resources through a privacy computation all-in-one machine server, forming a cipher text computation resource pool; homomorphically decrypting the computation result, and outputting the decrypted data to a user through a unified operation interface and a data flow circulation platform to generate a decrypted structured data set. The application has the advantages of improving computation efficiency and reducing operation cost.

This invention belongs to the field of agricultural machinery operation scheduling technology, specifically involving an agricultural machinery operation scheduling method, system, equipment, and medium based on EDIM and NMPD, which can balance uncertainty modeling, high-quality scheduling solution capabilities, and engineering feasibility. This invention achieves a dynamic adaptive balance between global exploration and local development through the directional guidance of the EDIM mechanism and the multi-level neighborhood mining of the NMPD mechanism, effectively avoiding premature convergence. This allows for the generation of scheduling schemes with significantly shorter total travel distances in various real-world farmland scenarios, resulting in a significant improvement in operational efficiency. The system of this invention, by integrating the core optimization engine of the aforementioned scheduling method, can automatically process large-scale farmland and agricultural machinery data and output high-quality scheduling schemes with low empty-running rates.

The invention discloses a closed-loop positioning collaborative scheduling double-galvanized-wire self-adaptive unbundling robot system which comprises an overline movable single-sliding-table truss module which stretches across a first galvanized-wire steel coil trolley channel and is parallel to a second galvanized-wire unbundling stepping beam. A long-acting operation and maintenance integrated structure and a closed-loop positioning switching module are arranged on the side wall of the second galvanized wire unbundling stepping beam, and the closed-loop positioning switching module and the long-acting operation and maintenance integrated structure achieve precise positioning of the robot between two production lines. The industrial six-axis robot is inversely installed and connected with the tail end in a floating mode, adaptation to steel coils of different specifications is achieved, a single robot conducts double-line-crossing operation, the vacancy rate of equipment is decreased, the utilization rate is increased, and the purchase cost is saved by half compared with double-robot configuration. And the closed-loop positioning switching module ensures that the unbundling device is accurately aligned with the steel coil, so that the unbundling success rate is stable.

This invention provides a method for dynamic urban renewal based on deep reinforcement learning, relating to the field of urban renewal. The method includes: step S1, data acquisition; step S2, state prediction; step S3, hierarchical decision-making; step S4, execution feedback; and step S5, iterative optimization. Hierarchical decision-making, based on the urban state data in step S1 and the predicted state in step S2, implements hierarchical update schemes for macro-level, meso-level, and micro-level intelligent agents. This method transforms urban renewal from a one-time static planning process to dynamic adaptive decision-making that evolves with the urban system, thereby achieving dynamic adaptation of infrastructure and public services and avoiding negative impacts such as environmental damage, facility idleness, resource waste, and increased costs caused by mismatch.