64results about How to "Reduce idle rate" patented technology

The invention discloses a visual network freight platform transportation transaction management system. The system comprises an order management module, a vehicle scheduling module, a transportation monitoring module, a transaction settlement module and a visual display module. Each module has innovative functions, such as order intelligent classification, vehicle optimization scheduling algorithm to minimize comprehensive cost, real-time monitoring and accurate settlement. The corresponding management method adopts advanced technologies to ensure efficient operation of each link, including block chain recording, intelligent contract settlement and the like. The whole system realizes efficient management, real-time monitoring and convenient visualization of transportation transaction of a freight platform, and improves the efficiency and quality of logistics transportation; according to the visual network freight platform management system, efficient and accurate order management is realized, vehicle scheduling is optimized, the cost is reduced, comprehensive and real-time transportation monitoring is guaranteed to be safe, safe and accurate transaction settlement is realized, convenient and visual display is convenient to make decisions, and the logistics transportation efficiency, quality and user experience are improved.

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 parking lot vehicle monitoring system, and belongs to the technical field of parking lot vehicle management. Comprising a vehicle end, and the vehicle end is connected with an intelligent monitoring platform. The vehicle end comprises a vehicle running state information acquisition module, an AI intelligent early warning module and an active braking module; the intelligent monitoring platform comprises a real-time monitoring module, a data processing module and a remote control module. Through the Internet of Things, big data and AI technologies, all-weather monitoring, data analysis and abnormal early warning of the vehicle are realized; through the active brake module and the passive infrared detector, the safety performance of the equipment in emergency is enhanced, and automatic deceleration or emergency stop can be realized to avoid accidents; the active braking module assists operators, the influence of the environment and dense personnel on operation is reduced, and the operation safety and stability are improved. And meanwhile, intelligent scheduling is supported, vehicle operation is optimized, and the empty driving rate is reduced. A mobile terminal management function enables a manager to master the dynamic state of a field at any time and efficiently deal with emergencies.

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 discloses a comprehensive tea primary processing system and a processing method, and aims to improve the production and processing efficiency and quality of various varieties of tea, and formulate an efficient processing plan by analyzing feeding information, station parameter information and processing type information according to the processing flow and the running state of equipment. And the processing equipment at each station can detect the running state of the equipment in real time and record the processing batch, so that the monitoring and tracking of the processing link are realized. According to the whole system, through intelligent scheduling and monitoring of the main control module, the processing capacity in unit time is improved, the proportion of idle equipment is reduced as much as possible, the main control module can formulate a corresponding processing plan according to the characteristics and requirements of tea types so as to improve the overall processing efficiency, and by monitoring station parameter information and the processing flow, the processing efficiency is improved. And process parameters can be adjusted in real time, and homogenized and standardized primary processing production is realized. The method is very suitable for the field of centralized, diversified and automatic tea leaf processing of private customized tea leaves.

The invention discloses a machining positioning and fixing device which comprises a compensation fixing mechanism, a baffle and a to-be-machined raw material, the compensation fixing mechanism comprises a machining table plate, a middle shaft sliding groove is formed in the middle of the top end of the machining table plate in a penetrating mode, and a sliding block is slidably connected into the middle shaft sliding groove; an extrusion plate is fixedly connected to the top end of the sliding block, a connector is fixedly connected to one end of the extrusion plate, electric hydraulic push rods are rotatably installed at the ends, away from the connector, of the two sides of the extrusion plate, and an extrusion replacement head is fixedly installed on the outer side of the connector; a connecting groove is formed in the middle of the end, close to the extrusion plate, of the extrusion replacement head. By means of the first pressure sensor and the second pressure sensor, the pressure conditions borne by raw materials to be machined in multiple directions in the machining process can be monitored in real time, and when the raw materials are uneven in stress due to external force, and the pressure on one side changes, the PLC can make a response rapidly.

The invention provides a full-automatic printing system and method based on additive manufacturing, and belongs to the technical field of additive manufacturing. A transfer system and a transfer system are arranged on the basis of a forming system, and a transfer channel is formed between the transfer system and the transfer system; the transfer system provides components needed by pretreatment work for the transfer system through the transfer channel, the transfer system receives the components moved out by the transfer system through the transfer channel, automatic transfer of new scraper holders, base materials, parts and / or old scraper holders is achieved, and therefore automatic operation of the pretreatment work is achieved; and the forming system is cleaned through the cleaning assembly, and the technical problem that existing manual cleaning causes harm to human health is solved.

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 present invention discloses a three-condition system with an ejector, aiming to provide a three-condition system in which a single-stage compression refrigeration system is used in air conditioning working condition, a quasi-two-stage compression refrigeration system with an ejector and intermediate air supply is used in ice making working condition, and a quasi-two-stage compression heat pump system with an ejector and intermediate air supply is used in winter heating working condition, so as to reduce the initial investment cost of the system, reduce energy consumption and operating costs, and save energy. The system includes a compressor with intermediate air supply, a four-way reversing valve, an outdoor heat exchanger, an indoor heat exchanger, an ice making evaporator, an economizer, an ejector, a throttling device, a regulating valve group and a plurality of valves. The switching of the single-stage compression refrigeration system, the quasi-two-stage compression refrigeration system with an ejector and the quasi-two-stage compression heat pump system with an ejector and intermediate air supply is realized by opening and closing a plurality of valves, thereby reducing the initial investment of the system.

The invention discloses a logistics e-commerce platform driver team picking method, and relates to the technical field of logistics transportation, and the method comprises the steps: S1, a carrier driver needs to register on a logistics e-commerce platform, and completes the identity authentication and the filling of vehicle information; s2, the logistics e-commerce platform creates a driver team hall, drivers establish a new team or join an existing driver team, and the platform automatically summarizes driver information and vehicle information in the team; and S3, the logistics e-commerce platform obtains a bulk cargo transportation order sent by a cargo owner, and after auditing, order information is forwarded to a driver team hall. According to the method, the deadhead ratio is effectively reduced and the utilization efficiency of the vehicle is improved through team picking of drivers and matching of the vehicle and the goods, so that the overall transportation capacity, rapid order matching and clear information circulation are optimized, the drivers can respond to the request in time, the response speed of bulk goods order processing and the overall transportation timeliness are improved, and the transportation efficiency is improved. The transportation cost is reduced.

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 utility model provides an inverter detection device, which relates to the technical field of inverters and comprises a first rectifier, a second rectifier, a first switch, a first short circuit device, a first station plate, a second switch, a second short circuit device, a second station plate and a common terminal. Two station plates are arranged, and the two station plates are provided with rectifiers, switches and short circuit devices, so that each station plate firstly has partial direct current input, then the output end of one rectifier is connected with the input end of the corresponding station plate, and the output end of the other rectifier is connected with a common terminal; by changing the on-off state of the switch and the plugging position of the common terminal, the two station plates can be plugged with the same inverter at the same time for detection, or can be plugged with different inverters with more input requirements for detection, so that the inverter detection device can detect various types of inverters, the compatibility is improved, and the detection efficiency is improved. And the vacancy rate of the detection device is reduced.

An intelligent mechanical state monitoring and dispensing system disclosed by the present invention comprises a mechanical state monitoring device, a communication module, a server and an equipment dispensing system, an oil level monitoring sensor and a mechanical vibration monitoring sensor in the mechanical state monitoring device are connected with the communication module through data lines, the server is connected with the communication module, and the equipment dispensing system is connected with the server. And the equipment dispensing system is connected with the server through a network. The invention belongs to the technical field of engineering machinery monitoring and regulation, and effectively solves the problems of unstable information return, backward management means and high equipment vacancy rate in existing engineering machinery equipment management.

The embodiment of the invention provides an equipment quantity prediction method and device, a storage medium and electronic equipment, and is applied to the technical field of equipment management, and the method comprises the steps: determining a to-be-predicted bank outlet, and determining various types of equipment, needing to be predicted, of the bank outlet based on the configuration information of the bank outlet; for each type of equipment, acquiring prediction data of the type of equipment at a bank outlet based on various parameter indexes screened for the type of equipment in advance; and inputting the prediction data of each type of equipment into a pre-trained multivariate regression analysis model to enable the multivariate regression analysis model to process each piece of prediction data, and outputting the equipment prediction quantity of each type of equipment. The multiple regression analysis model is used for predicting the number of various devices, prediction does not need to be conducted depending on artificial experience, the parameter indexes of various devices are used for obtaining prediction data in the prediction process, obtaining of useless data is reduced, and the prediction accuracy of the number of various devices 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 invention relates to a voltage quality control device and method. The device comprises a plurality of connection switch groups, each connection switch group at least comprises a first gating switch and a second gating switch, the first gating switch is used for being connected with a first phase feeder line, and the second gating switch is used for being connected with a second phase feeder line; the change-over switch group at least comprises a first change-over switch and a second change-over switch, and a plurality of first ends of the first change-over switch are respectively connected with the first gating switches in the connection switch groups; a plurality of first ends of the second change-over switch are respectively connected with the second gating switches in the connection switch groups; and the voltage control module is connected with the second end of each change-over switch in the change-over switch group and each gating switch in the connection switch group, and is used for providing compensation voltage. The voltage quality control device can improve the utilization rate of the voltage control module and reduce the cost.

The present invention discloses a filter tank with a shared filter material cleaning device, comprising a plurality of tank bodies arranged in parallel, each tank body being provided with a plurality of filter material air lifting pipelines distributed in rows and columns, the filter material air lifting pipelines being divided into at least two rows; at least one set of tracks being laid above the tank bodies, the tracks being located in the middle of the two rows of filter material air lifting pipelines, and the filter material cleaning device being placed on the tracks; a power assembly being provided on the filter material cleaning device, driving the filter material cleaning device to move along the tracks above the tank bodies at the same level; a discharge reversing valve being provided at the discharge end of the filter material cleaning device, the discharge reversing valve being connected to two discharge troughs, and the discharge troughs being respectively oriented to the filter material air lifting pipelines on both sides of the tracks. The present invention arranges a plurality of filter material air lifting pipelines inside the filter tank, so that the filter material flows evenly, and at the same time can reduce the inclination angle of the bottom of the filter tank, increase the thickness of the filter layer, and improve the utilization rate of the filter material; the filter tanks at the same level can share a set of filter material cleaning devices, reduce the idle rate of the equipment, and reduce the cost.

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 invention discloses a mechanical vibration anti-blocking type ball distributing structure and a ball mounting and cleaning method thereof, and belongs to the technical field of microelectronic manufacturing and packaging. The mechanical vibration anti-blocking type ball distributing structure comprises an upper end cover, a lower end cover, a ball conveying assembly, a vibration assembly and a ball spraying assembly; the upper end cover and the lower end cover are fixed through an inner shaft, and the ball conveying assembly, the vibration assembly and the ball spraying assembly are supported on the upper end cover and the lower end cover. The ball conveying assembly is used for conveying the solder balls into the ball spraying assembly, and the solder balls are sprayed out by the ball spraying assembly; the ball conveying assembly comprises a ball storage bin; the vibration assembly slightly vibrates the ball storage bin, so that the solder balls in the ball storage bin are prevented from being blocked at the outlet of the ball storage bin. According to the mechanical vibration anti-blocking type ball distributing structure and the ball mounting and cleaning method thereof, the structure can redistribute a solder ball stacking mode, solder ball accumulation is relieved, the ball blocking problem at the ball leaking hole, the ball conveying track and the nozzle is effectively solved, and therefore the ball mounting efficiency is greatly improved.