25results about How to "Reduce idle rate" patented technology

The invention, which relates to the technical field of artificial intelligence, discloses a warehouse-in and warehouse-out path planning method and system for intelligent warehousing, and the method comprises the steps: generating an optimal operation path of a to-be-operated carrier through a path planning model; the method comprises the following steps: predicting whether a current carrier has a collision risk with all carriers in a warehouse in a time dimension or not through a time block, predicting whether the current carrier has a collision risk with all carriers in a warehouse in a space dimension or not through a space block, and when the time block and the space block simultaneously detect that the current carrier has the collision risk at a certain moment, judging whether the current carrier has the collision risk; the decision block judges that the current carrier has a collision conflict, and determines an optimal avoidance strategy through an action value function; according to the optimal avoidance strategy, the avoidance waiting carrier is determined, the total waiting time and the waiting space position of the avoidance waiting carrier are calculated, and the avoidance strategy is executed. According to the technical scheme, the problem that in-out garage path planning and collision processing cannot be intelligently and accurately carried out in the prior art can be solved.

The invention discloses a new energy automobile charging management system, and aims to improve the charging efficiency, prolong the service life of a battery and improve the user experience. The system comprises a battery monitoring module, a charging mode management module, an intelligent scheduling module, a remote control module, a safety protection module, a big data analysis module and a billing management module. The battery monitoring module collects data such as battery voltage, current and temperature in real time; the charging mode management module dynamically selects a fast, standard or slow charging mode according to the battery state and the user demand; the intelligent scheduling module optimizes a multi-vehicle charging sequence to realize reasonable resource allocation; the safety protection module provides overvoltage, overcurrent and temperature protection to ensure charging safety; the remote control module enables a user to monitor and adjust the charging state in real time. According to the invention, through intelligent charging management, resource configuration optimization, charging efficiency improvement, safety risk reduction in the charging process and battery life prolonging, convenient charging experience is provided for users.

The invention discloses an efficient logistics storage scheduling system, and relates to the technical field of logistics storage scheduling, and the technical scheme is that the system comprises a storage scheduling management module, the connection end of the storage scheduling management module is provided with a data analysis optimization module, and the storage scheduling management module comprises an automatic scheduling module and a storage safety and stability guarantee module. The beneficial effects of the system are that through the automatic warehousing operation module, the links of manual operation are reduced, rapid and accurate cargo processing is realized, the overall logistics efficiency is significantly improved, the transportation route can be intelligently optimized according to the real-time order quantity and the transportation demand, and the transportation efficiency is improved. According to the method and the system, the waiting time and the empty driving rate are reduced, the logistics efficiency is further improved, the manpower demand is reduced through automatic and intelligent storage scheduling, the labor cost is reduced, and through real-time inventory state monitoring and accurate demand prediction, inventory overstock and excessive replenishment can be reduced, and the inventory cost is reduced.

The invention discloses an intelligent PCB production line intelligent regulation and control method and system for an unmanned workshop, and particularly relates to the field of intelligent control, and the method comprises the steps: S1, PCB production line information text collection, S2, data standardization processing, S3, PCB production information processing, S4, PCB production line control judgment, and S5, PCB production line control judgment result feedback. According to the method, a mathematical model is constructed through big data analysis and a machine learning algorithm, the real-time health state and the inventory level state of the equipment are accurately quantified, full-period digital management of the PCB production equipment and the inventory level is realized, meanwhile, the production quality of products is predicted in real time through the production quality prediction model, and the product yield and the quality consistency are improved. According to the method, a production progress optimization model is constructed based on discrete event simulation and reinforcement learning algorithms, the relation between PCB production process flow logic and resource competition is accurately simulated, and optimization process sorting, equipment management and inventory management strategies are learned in real time.

The invention discloses a logistics transportation scheme evaluation method and system, and relates to the technical field of logistics management, and the method comprises the steps: obtaining a training sample; extracting a multi-dimensional feature vector; inputting a deep learning model to obtain prediction cost; determining a difference value between the predicted cost and the real cost, and adjusting the deep learning model to obtain a trained deep learning model; obtaining a to-be-evaluated logistics transportation scheme; extracting key information; inputting the key information into the trained deep learning model to obtain the estimated cost of each logistics transportation scheme to be evaluated; and selecting an optimal scheme. According to the invention, the cost and benefit of the transportation scheme can be evaluated according to an objective and unified standard, the optimization of the transportation route and resource allocation is facilitated, the overall efficiency of logistics transportation is improved, and intelligent monitoring and management of the logistics transportation process are realized by introducing advanced technologies such as deep learning and NLP.

The invention relates to the field of air compressor units, in particular to an air compressor unit distributed device and a control method. The air compressor unit distributed device comprises a frame body, a cover plate, a main body machine, a driving mechanism and an adjusting mechanism, an air compressor unit group is mounted in the frame body, the air compressor unit group is divided into a diesel engine and an air compressor, the bottom end of the diesel engine is fixedly connected with a U-shaped bracket through a bolt, the diesel engine and the air compressor are mounted in a matched manner, and the U-shaped bracket is fixedly connected with the air compressor. A cover plate is mounted at the top end of the frame, an air storage tank is fixedly connected to the top end of the cover plate, the air compressors communicate with the air outlet tank, and a main machine is mounted on one side of the frame. According to the air compressor unit distributed device, modular design is adopted, all the assemblies can be conveniently disassembled and assembled, the flexibility and maintainability of the device are improved, a user can adjust the scale of the air compressor unit according to actual requirements, and the vacancy rate of the device is reduced.

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 application relates to the field of intelligent control seeding test in modern agriculture, and discloses an intelligent seed pneumatic conveying characteristic test platform, which comprises a rack, a centralized seed sowing device, a pneumatic pipeline conveying device, a uniform seed distributing device, a movable mounting bracket and a PLC control system. The centralized seed sowing device comprises a centralized seed sowing wheel, and the centralized seed sowing wheel comprises a plurality of seed sowing rings. The uniform seed distributing device comprises a uniform seed distributing device support, a second seed distributing pipe, a pressure sensor, an annular grating sensor, various seed distributing channels, a weighing sensor and a uniform seed distributor. The PLC control system is connected with the sensor. The pneumatic live seeding and the uniform minute test can be carried out, and the pneumatic live seeding technology and the uniform seed distributing technology are provided with reference for research.

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 invention discloses a steel-making furnace machine matching method and system based on time management and condition constraint. The method comprises the steps that the pre-casting time of a continuous casting machine is obtained; performing forward sequencing on the pre-casting time of the continuous casting machine to form a casting furnace queue of the continuous casting machine; a refining scheduling scheme is determined according to the continuous casting machine pouring furnace queue; evaluating the refining scheduling scheme, and judging whether the refining scheduling scheme is feasible or not; performing forward sequencing on the feasible scheduling schemes according to the refining starting time to form a refining furnace queue; according to the refining furnace queues, converter scheduling schemes are determined; evaluating the converter scheduling scheme, and judging whether the converter scheduling scheme is feasible or not; and designing a target function according to a production scheduling scheme, calculating the sum of waiting time of each heat in the scheduling scheme between the processes, and screening out an optimal scheduling scheme according to a principle of minimizing the waiting time. Compared with manual planning, the method has the advantages that the labor intensity of workers is reduced, and the error rate of production scheduling is reduced.

The invention provides an intelligent taxi scheduling method and system based on a double attention mechanism, and the method comprises the steps: dividing an urban traffic network into hexagonal grid units through an intelligent agent, and combining the local state of each grid unit with the state of an adjacent grid through an adjacent matrix, dynamically generating traffic environment state vectors according to the traffic environment data; obtaining a local supply and demand state and a global supply and demand state based on the traffic environment state vector; the model is trained through the global supply and demand state, and an optimal scheduling strategy is obtained; an execution action is generated through the optimal scheduling strategy; and updating the strategy by executing the action. The method shows remarkable superiority in a dynamic complex traffic environment, and an efficient and feasible solution is provided for scheduling and repositioning optimization of an urban intelligent traffic system.

The application discloses a freight vehicle matching method and a matching device, and solves the technical problems of the existing vehicle matching scheme, such as scattered transport capacity pool, complex matching scheme implementation, and low vehicle utilization rate. The freight vehicle matching method comprises the following steps: receiving order data; calculating the idle rate of each vehicle type in each vehicle team in the transport capacity pool at a time point when the order arrives; calculating the vehicle type priority of each vehicle type in each vehicle team according to the idle rate; calculating the vehicle team priority of each vehicle team according to the vehicle type priority of all vehicle types possessed by the vehicle team; establishing a vehicle configuration model according to the vehicle team priority and the decision variable of the vehicle team; solving the vehicle configuration model to obtain the value of the decision variable of each vehicle team, and determining a matched vehicle team according to the value of the decision variable; and determining a matched vehicle according to the vehicle type and the idle rate of the vehicle in the matched vehicle team.

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.

The application discloses a novel mine material vehicle digital positioning and intelligent scheduling management method and device, relates to the technical field of intelligent scheduling of mine vehicles, and specifically discloses the following technical scheme: through a mobile terminal, a vehicle code acquisition instruction is scanned, material or unloading information is input, three-dimensional binding data is generated and is uploaded in real time; a fusion positioning method is used to acquire the position of a vehicle in a mine, and a multi-dimensional feature system is constructed in combination with the binding data; according to the features and dynamic constraints, a multi-objective optimization algorithm is used to calculate a supply and recovery path, and an optimal scheduling scheme is generated; the scheme is introduced into digital twin verification, is corrected, is issued to a terminal and is used to update the state of the vehicle, and a closed-loop traceability is realized. The application can realize high-precision positioning of a vehicle in a mine and full-process traceability, improve information accuracy and timeliness, reduce the empty running rate and transportation cost through dynamic scheduling and twin pre-control, and improve scheduling response speed and operation safety.

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.

The invention relates to the technical field of big data processing, and discloses a crowdsourcing-based data acquisition and processing method and system, and provides a crowdsourcing-based data acquisition and processing method, which is used for distributing user orders to proper transportation units, and comprises the following steps of: firstly, sorting according to the time and distance of the user orders; and then screening is performed according to the working state of the transportation unit. If no idle transport unit exists nearby, the time for each transport unit to complete the order is predicted according to the historical order information and the current route condition, the route is optimized, and finally the transport unit with the optimal route is selected to complete the order. In the whole process, through the steps of data collection, full arrangement, time judgment, insertion processing and the like, efficient order distribution is realized, and the crowdsourcing logistics distribution efficiency and the user experience are improved.

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.

The utility model discloses a novel intermediate water circulation system for gradient utilization of mid-deep geothermal energy, which comprises a production well and a recharge well which are arranged at a mid-deep geothermal source and are communicated through a geothermal water pipe, and a first-stage plate heat exchanger, a second-stage plate heat exchanger and a third-stage plate heat exchanger are sequentially arranged on the geothermal water pipe. The heat exchange end of the first-stage plate heat exchanger is connected with a heat supply pipe network through a pipeline, and the heat supply pipe network is further connected with the heat exchange end of the first heat pump unit and the heat exchange end of the second heat pump unit. The low-heat end of the first heat pump unit, the low-heat end of the second heat pump unit, the heat exchange end of the third-stage plate heat exchanger and the heat exchange end of the second-stage plate heat exchanger are sequentially connected through a circulating water pipe, and a circulating pump is arranged on the circulating water pipe. And the circulating water pipe and the geothermal water pipe are provided with valves for controlling the second and third plate heat exchangers and the first and second heat pump units to start and stop. The system is low in investment cost, high in thermal efficiency utilization rate and low in failure rate during operation, and the operation cost of the system is greatly reduced.

The utility model provides a kind of adjustable automobile front, rear windscreen glass general transport appliance, by base and side frame, base is constituted by the symmetry of left and right two double-layer frames, its outside corner part is equipped with corresponding connecting jack with the bottom of side frame, inside middle part is fixedly connected with the both ends of four-bar linkage telescopic device, inside upper end is equipped with glass separation strip A, between the outer end of two double-layer frames of base, reinforcing device of inner tube and outer tube is connected, side frame is constituted by one cross bar fixedly connected in two upright column upper portion, upright column side is equipped with multiple positioning through-hole, its lower part is equipped with locating block, by bolt and the connecting jack of base are connected, middle lower part is equipped with extrusion positioning assembly that can be adjusted up and down in lower pressing assembly that can be adjusted up and down in side frame middle upper portion. With the advantages of reducing idle rate; low empty load transportation cost of return.

The invention discloses a copper foil order production process management method and system, and the method comprises the steps: generating copper foil order data based on a user order and correspondingly creating a copper foil production task in a copper foil production process, obtaining process control information, and traversing processing equipment to obtain an equipment set, then obtaining current process information based on the electronic identification card, calculating an estimated time node when the current batch of copper foil enters a target process based on the current process information and the production parameters of the copper foil production task, and judging whether the estimated time node conflicts with the estimated time nodes when other batches of copper foil enter the target process or not; and if yes, traversing the equipment attributes of the processing equipment and the copper foil order data, searching target equipment capable of executing the target process, and finally completing editing of the equipment set based on starting of the target equipment. According to the invention, the processing waiting time of the copper foil can be reduced, the production efficiency of copper foil production is improved, the vacancy rate of processing equipment is reduced, and good traceability of copper foil production is ensured.