290 results about "Transportation capacity" patented technology

The invention relates to a robot distribution task priority scheduling method, which comprises the steps of inputting priority scoring parameters to a preset dynamic weight scoring model to obtain priority scores of distribution tasks, the priority scoring parameters comprising task emergency degree, distribution distance, goods weight and time efficiency requirements, the dynamic weight scoring model represents the influence degree of each priority scoring parameter on priority scoring; acquiring conveying capacity parameters of the plurality of robots, and allocating the robots to the delivery tasks according to the conveying capacity parameters and the priority scores of the delivery tasks; determining a planning path required by the robot to complete the corresponding distribution task; in the moving process of the multiple robots, the moving information of the multiple robots is obtained in real time, and whether path conflicts exist in the multiple robots or not is detected; and under the condition that the existence of the path conflict is detected, the planned path of the robot is optimized based on the conflict solving strategy so as to avoid collision of a plurality of robots. And efficient cooperative operation of a plurality of conveying robot systems is realized.

The present invention provides a multimodal transport method for emergency materials based on emergency scenarios, which determines the key nodes of materials and effective transportation information according to the current emergency scenario information, constructs the current emergency material joint transport network, determines the transportation priority corresponding to the material demand point, obtains the material demand corresponding to the material demand point and the transportation capacity information of the current emergency material joint transport network, sets constraints, initializes multiple transport paths according to the constraints, and then determines the objective function, updates the transport path using a damage repair algorithm to obtain a new transport path, and re-determines the objective function, iterates and updates the preset number of times to reach the preset stop condition, and obtains the final objective function. The optimal transport path corresponding to the final objective function is a multimodal transport plan that transports emergency materials from the material supply point to the material demand point via the material transfer point. The present application can achieve the joint transportation of emergency materials in a shorter time and at a lower cost.

The invention discloses a task-based guarantee scheme generation method, system and device and a medium, and the method comprises the steps: obtaining task information inputted by a user, and calling a trained task analysis large model to extract element information of each resource demand type from the task information; importing element information according to resource demand types, and calling the demand prediction model to form a demand prediction report; based on the demand prediction report, the current guarantee resource state and the feasible transportation route are integrated, the influence of distance, time and cost factors is comprehensively considered, a guarantee resource scheduling model is established and solved, and a guarantee resource scheduling scheme is generated and converged to form a guarantee plan; and simulating personnel, resources and transport capacity, carrying out deduction verification, evaluating the guarantee plan from four evaluation elements including a task completion rate, a guarantee coverage rate, guarantee resource consumption and guarantee cost, setting weights for the evaluation elements by adopting an analytic hierarchy process, and selecting the guarantee plan with the highest score. The method can assist in quickly and efficiently generating the guarantee scheme.

The invention belongs to the technical field of logistics storage, and particularly discloses a logistics storage management system which comprises a cargo distribution module, a storage configuration module, a storage operation module, a material distribution module and a query statistics module. The cargo distribution module is used for optimizing warehouse space utilization, improving the cargo storage and taking speed, reducing manual errors and losses and conducting accurate inventory management and prediction. The warehouse configuration module is used for configuring warehouse entity parameters to realize identification and management of warehouse resources; the warehousing operation module is used for warehousing self-management, and mainly comprises goods receiving management, goods delivery management, goods checking and goods scrapping; the material distribution module is used by a transportation management department according to the number of packages of clients, the delivery address of the clients, the transportation mode and the transportation capacity of the transportation management department; and the query statistics module is used for providing comprehensive query of business information related to the storage business and outputting a report.

The invention discloses a modular bus operation compilation method based on a variable rolling time window, belongs to the technical field of urban public transportation, and particularly relates to a modular bus operation compilation method based on a dynamic time window. The invention aims to solve the problems of long passenger travel time, low module bus operation efficiency and high bus company operation cost caused by the fact that an existing modular bus system cannot deal with mismatching between bus system transport capacity resource supply and passenger flow space-time demand. According to the method, the operation cycle of the bus is decomposed into a plurality of continuous variable time windows, and two-stage interactive optimization control is completed at the starting moment of each time window. Meanwhile, the departure interval information of the compiled scheme is transmitted to the rolling time domain, the first departure interval length obtained by the scheme serves as the variable window length, and the compartment marshalling scheme is executed. And obtaining a departure interval timetable of the departure station and the number of carriages sent by each train at each station until the operation of the total plan cycle is finished.

The invention discloses an intelligent transport capacity dispatching system and method based on a GPS. The system comprises a transport capacity state monitoring subsystem and an intelligent dispatching management subsystem. And by deploying a GPS positioning and multi-parameter sensor, real-time acquisition and analysis of information such as the position, the speed and the energy consumption of the transport capacity unit are realized. According to the system, CNN and Transform structure extraction features are fused, LSTM is combined to predict a transport capacity demand, and a PPO reinforcement learning algorithm is adopted to dynamically plan a path. Abnormality detection (SVM), PID feedback adjustment and cloud edge cooperative calculation are integrated in the scheduling process, and the scheduling precision and the response speed are improved. The system has the capabilities of task filing, online optimization and data security guarantee, and is suitable for complex traffic and logistics scheduling scenes.

The invention relates to the technical field of logistics management, and discloses an operation and control analysis method, device and equipment based on logistics transportation, and a medium, and the method comprises the steps: carrying out the preprocessing of to-be-controlled waybill data, removing invalid data, and screening an effective delivery record as a judgment basis; establishing a multi-layer affiliation relationship according to the judgment basis and marking label information; inputting the waybill data, the corresponding multi-layer affiliation relationship and the label information into an abnormal path identification model, and outputting an abnormal type corresponding to the waybill data, wherein the abnormal type at least comprises trunk line empty running, advanced departure and non-network area recovery type anomalies; and generating an abnormal path trend according to the waybill data and the corresponding abnormal type, and generating delivery optimization information according to the abnormal path trend, the delivery vehicle corresponding to the waybill data and the main delivery area so as to perform delivery optimization on the waybill data within the set time and distance range. The method is suitable for intelligent management of logistics enterprises on delivery path optimization, transport capacity scheduling and operation efficiency improvement.

The invention discloses a chemical tanker automatic stowage method based on route planning, and belongs to the technical field of chemical tanker stowage, and the method comprises the steps: obtaining chemical property data and carrying condition data, and constructing a chemical information database; encoding ports in a planning period to generate an initial route population; according to database data and ship cargo hold performance, an optimal stowage scheme meeting stability and safety requirements is generated; formulating a transportation scheme evaluation standard and model, retaining first 40% of high-quality routes according to an evaluation result, and updating a route population; and judging whether a termination condition is met or not, if so, outputting an optimal transportation scheme, and if not, continuing iterative operation. According to the chemical tanker automatic stowage method based on route planning, the optimization problem of chemical tanker route planning and automatic stowage can be solved, the safety of dangerous chemical transportation is improved, the marine ecological environment is maintained, the shipping time is saved, the transport capacity tension is relieved, and the economic benefits are improved.

The invention relates to the technical field of cold-chain logistics. The invention discloses a medical cold chain transport capacity planning system and method, and the system comprises a plurality of refrigerated transport units, each refrigerated transport unit comprises a refrigerated container which can maintain a plurality of different preset temperature intervals, and a transport task management module which is used for receiving and processing the drug information and transport requests of a plurality of drugs, the system comprises a transport task management module used for managing drug information and carrying out priority grading on the drug information and transport requests, a transport capacity demand prediction module used for predicting future transport capacity demands according to historical data, and a path optimization module used for carrying out transport arrangement according to the information provided by the transport task management module in combination with various comprehensive data. According to the medical cold-chain transportation capacity planning system provided by the invention, efficient, safe and reliable medical cold-chain transportation is realized by integrating a plurality of modules such as task management, capacity demand prediction, path optimization, real-time monitoring, alarm and user interface, and the high requirement of the modern medical industry on cold-chain logistics is met.

The utility model discloses a pull type road electric carrying train with multiple sections and multiple layers of carriages, which belongs to the technical field of heavy trucks and comprises a train head and a plurality of mounting rods with the same structure. The multiple sections of carriages are the same in structure; hubs are arranged on the carriages; hydraulic telescopic rods are arranged on the periphery of the bottom of the compartment, and supporting legs are arranged at the bottoms of piston rods of the hydraulic telescopic rods. Connecting female pieces are arranged at the left ends of the carriages, and connecting male pieces matched with the connecting female pieces are arranged at the right ends of the carriages and the right ends of the mounting rods; the mounting rods are connected with one another, and the bottom mounting rod is arranged on a vehicle head; the heavy truck is provided with at least two carriages, the multiple carriages can be folded and stored on the first carriage under the condition that cargoes are not loaded, the occupied area is reduced, parking is convenient, the multiple carriages are sequentially connected through the connecting female pieces and the connecting male pieces when the cargoes are loaded, the transportation capacity is further improved, and the transportation cost is reduced. And the ever-increasing large-piece transportation requirement is met.

The invention discloses an inventory optimization system and method based on multi-source data, and belongs to the technical field of inventory optimization. The production data and the sales data are acquired and fused to obtain the multi-source data, the LSTM neural network is trained by using the multi-source data, and the future market demand is predicted; on the basis of future market demands, in the aspect of space resource consumption and the aspect of time resource consumption, target functions and constraint conditions are set respectively, the corresponding target functions are solved, and the minimum warehouse resource consumption is obtained through calculation; processing the historical sales data by using a moving average method, and predicting the future sales volume of the warehouse products; combining the future sales volume with the existing stock volume and the in-transit volume, and calculating the replenishment volume; obtaining logistics data, determining the replenishment time according to the logistics transportation time, and adjusting the replenishment amount according to the transportation capacity; and based on the replenishment time and the replenishment amount, using a dynamic planning algorithm to obtain an optimal distribution frequency, and matching the optimal distribution frequency with the inventory to obtain an inventory use plan.

The invention belongs to the field of cooperative control algorithms and structural design, and particularly relates to a layout and control cooperative design method for a multi-unmanned-aerial-vehicle cooperative transportation system, and the method comprises the steps: building a dynamic model and a control model of the multi-unmanned-aerial-vehicle cooperative transportation system; carrying out comprehensive modeling on the physical layout and the control strategy of the multi-unmanned aerial vehicle cooperative transportation system, and then defining a comprehensive performance index and quantifying the comprehensive performance index into a model-optimizable objective function; performing parameterization processing on the layout position of the unmanned aerial vehicle, and describing the distribution position of the unmanned aerial vehicle around the load by using an angle parameter; meanwhile, the layout position of the unmanned aerial vehicle and controller parameters serve as optimization variables, and joint optimization is carried out; and applying the optimized layout position and controller parameters to an actual multi-unmanned aerial vehicle cooperative transportation system, and carrying out flight control and performance testing. According to the invention, the anti-disturbance capability, the stability and the tracking precision of the system are improved, and the transportation capability and the robustness of the system in a complex environment are remarkably improved.

The invention discloses a belt conveyor tail rolling frame capable of improving the conveying capacity, relates to the technical field of belt conveyors, and solves the problems that coal cinder adhered to a conveying belt can influence the stability of the conveying belt during conveying, and the conveying belt is likely to deviate. The invention discloses a belt conveyor tail rolling frame capable of improving transportation capacity. The belt conveyor tail rolling frame comprises a belt conveyor rolling frame. The carrier roller positioning assemblies are mounted in the belt conveyor rolling frame through screws; the automatic conveying and impurity removing mechanism is arranged at the tail of the belt conveyor rolling frame and arranged on the side face of the carrier roller positioning assembly, and a conveying belt located above the carrier roller positioning assembly is arranged on the outer side of the automatic conveying and impurity removing mechanism. According to the coal cinder conveying device, the conveying belt is guided and limited, and the coal cinder on the surface is vibrated, so that the probability that the coal cinder is adhered to the conveying belt and the conveying belt deviates can be effectively reduced.

The invention discloses a logistics return transportation capacity intelligent matching system and method based on journey prediction, and the method comprises the steps: carrying out the transportation capacity departure time window prediction, journey time consumption prediction, space correction prediction, sudden factor correction prediction and bearable weight prediction of the multi-source heterogeneous data of each vehicle in the current collection period; obtaining a transport capacity departure time window, an optimal return path, return time consumption and an estimated loadable weight of the target vehicle; and generating a transport capacity label based on the transport capacity departure time window, the optimal return path, the return time consumption and the estimated bearable weight of the target vehicle, performing multi-dimensional adaptation on the transport capacity label and the order information to obtain a comprehensive score of the transport capacity label, and performing order matching and state updating operation of the target vehicle based on the comprehensive score of the transport capacity label. Accurate pre-judgment of the transport capacity state is achieved, and the invalid matching rate is greatly reduced.

The utility model discloses a shockproof logistics transportation frame which comprises a base, the base is horizontally arranged, a plurality of support assemblies are fixed to the top face of the base in a stacked mode, and a storage assembly with a shockproof buffering function is arranged between the two sides of each support assembly. Disassembly and assembly assemblies are installed on the two sides of the storage assembly and partially fixed to the positions, corresponding to the inner sides of the support assemblies, of the storage assembly. The utility model has the beneficial effects that the plurality of bracket components are fixed on the top surface of the base in a stacked manner, and each bracket component is fixedly provided with the storage component with a shockproof buffering function through the assembly and disassembly component in a combined manner, so that logistics cargoes can be efficiently carried and transported through the arrangement of the plurality of layers of storage components; and meanwhile, through the anti-vibration buffering function of the storage assembly, anti-vibration buffering protection can be conducted on goods prone to being damaged in the transportation process, the situation that the logistics goods are damaged is avoided, and meanwhile the safe transportation capacity in the transportation and using process is improved.

The invention discloses a transport capacity purchase abnormity monitoring and early warning method, and relates to the technical field of logistics transportation, and the method comprises the following steps: collecting original data needed by logistics purchase through a multi-source data collection system, and carrying out the preprocessing of the collected original data, including data cleaning, integration, standardization and feature extraction; according to the method, historical transportation records of predetermined transportation capacity are called and verified through the Internet of Things technology, risk prediction and early warning are carried out in combination with an AI algorithm, deep mining and analysis are carried out on data in the purchasing process, potential problems are identified, improvement measures are given, and data support is provided for purchasing decision making in combination with the big data warehouse. According to the method, support is provided for data analysis in the transport capacity purchasing process through a big data warehouse, a provider transfers and provides historical transport records and real-time state data of predetermined transport capacity to a buyer from two stages, and an AI algorithm can comprehensively carry out risk prediction and early warning on a transport capacity purchasing decision.

The invention provides an efficient path planning method based on scene understanding and an AMR robot, and the method comprises the steps: obtaining a standard transportation path of a material transportation task, carrying out the material transportation task according to the standard transportation path, determining an occurrence place of a traffic retardation event when the traffic retardation event is detected in a material transportation process, and carrying out the execution of the material transportation task according to the determined occurrence place. Performing congestion scene analysis on the occurrence place of the traffic blocking event, and judging whether the traffic blocking event is a path congestion event according to a congestion scene analysis result, the path congestion event being that the current transportation path cannot pass, the method comprises the following steps of: when an event that materials cannot be delivered to a target location within a time limit required range is detected, or the passing time is too long, and when the passing blocking event is a path blocking event, re-executing transportation path planning on the material transportation task, so that the reliability and timeliness of material transportation in a hospital can be fully ensured, and the transportation efficiency of the hospital is improved. And efficient and reliable material transportation capability support is provided for each functional module of a hospital.

The invention belongs to the technical field of logistics management, and discloses a commodity transportation management method based on an online shopping platform, which integrates real-time traffic data through space-time two-dimensional path optimization, dynamically adjusts a distribution route, greatly improves the distribution time efficiency, and effectively reduces the vehicle no-load rate. The intelligent scheduling system matches the transport capacity in real time according to order changes and vehicle states based on a dynamic resource allocation mechanism, thereby not only helping merchants to reduce the management cost, but also shortening the in-transit time of commodities. Even if the order quantity is greatly increased, the system can avoid invalid transportation and resource waste through accurate resource regulation and control, and dual optimization of transportation efficiency improvement and cost control is realized; the whole process of transportation data can be traced through a blockchain and Internet of Things fused evidence storage system, and a user can check the positions, temperature, humidity and other states of goods in real time; a multi-level abnormity emergency response mechanism pointedly processes transportation abnormity, and the commodity loss rate is reduced.

The invention discloses a material grabbing machine with continuous transportation capacity, relates to the field of engineering machinery, and is suitable for bulk material loading and unloading scenes such as ports and mine fields. Aiming at the problems of low efficiency, easiness in structure damage, poor adaptability in narrow places and the like in the process of'grabbing-rotating-discharging 'of a traditional material grabbing machine, the material grabbing machine comprises a material grabbing machine main body, a shell hopper, a hopper system fixed on a base and an inclined belt conveyor system, a hopper inclination angle control system is additionally arranged, and the operation process is optimized to be'grabbing-discharging'; during operation, the shell hopper grabs bulk materials and then moves to the position above the hopper system for discharging, the angle of the hopper is adjusted through the inclination angle control system, the bulk materials are guided to the conveyor system and directionally conveyed to a transport tool, and a machine body does not need to rotate. The operation efficiency is improved, the structural stress of equipment is reduced, the service life is prolonged, the device is suitable for narrow sites, and secondary transfer is not needed.

Various implementations directed to price time priority queue routing for transportation capacity units are provided. In one implementation, a method may include receiving origin location data and destination location data. The method may also include generating routes based on the origin location data and the destination location data. The method may further include determining virtual hubs along the routes, where the virtual hubs include a first virtual hub based on the origin location data and a second virtual hub based on the destination location data. The method may additionally include receiving travel cost data for the routes for geolocation exchange units. In addition, the method may include receiving market depth data for a geolocation exchange for the geolocation exchange units based on the routes. The method may also include selecting an optimized route of the routes for the geolocation exchange units based on an objective function.

The invention provides a group plan and train operation plan matching method and system, and relates to the technical field of railway transportation plan compilation, and the method comprises the steps: carrying out the grouping of a plurality of unit trains based on a preset clustering rule, and obtaining a plurality of group train alternative sets; using the maximum on-site saved time as a first objective function to construct a group planning model as an upper layer planning model; constructing a lower-layer planning model by taking the shortest cargo in-transit travel time and the minimum discrete degree of the total arrival amount of the loaded vehicle in unit time as a second objective function; solving the upper-layer planning model to obtain an initial group plan, inputting the initial group plan into a lower-layer planning model, and solving the lower-layer planning model based on a non-dominated sorting genetic algorithm; according to the method, the running form of the heavy haul trains is optimized, the number of the heavy haul trains running on the line at the same time in unit time is increased, and the transportation efficiency and the transportation capacity of the heavy haul railway are improved.

The invention discloses a comprehensive passenger transport hub multi-transport-body transport capacity cooperative adjustment method, which comprises the following steps: firstly, collecting real-time operation data of each transport body in a hub, and calculating the transport capacity according to the real-time operation data; analyzing the transportation capacity matching degree according to the transportation capacity of each main body, and determining a grading standard; judging whether a condition of uneven transport capacity resource allocation exists or not according to the transport capacity matching degree; and if yes, making a basic transport capacity collaborative adjustment scheme. According to the method, data are collected in real time to construct a model to calculate the transport capacity, the transport capacity of different transport modes can be accurately quantified, the link of uneven transport capacity distribution can be rapidly identified by using a transport capacity matching degree grading standard, and then an effective scheme is formulated to improve the overall transport efficiency of a hub and achieve dynamic balance of the transport capacity; data accuracy and scheme operability are both considered, the waiting time of passengers can be remarkably shortened, the resource utilization rate is increased, and a scientific decision basis is provided for efficient operation of a hub.

A method and system for the flexible combined transport of persons and / or freight via rail or road. A coordination system coordinates the total transport capacity and the specific demand for transport of passengers and freight in real time and dynamically. The coordination system registers the existing capacity of persons and freight of a transport means, determines a residual capacity, defined by the difference between the passenger capacity and the passenger transport demand, and determines a transformation capacity, which is determined by the size of the residual capacity that can be transformed for the carriage of freight. The freight capacity is determined by the transformation capacity and the existing freight capacity. A multi-functional transport modality for rail or road and other support means for the realization of an efficient and resilient mobility system for passengers and freight.

The invention discloses a vehicle and goods matching method and device, and relates to the technical field of goods transportation. The specific embodiment of the method comprises the following steps: acquiring newly published goods source information, and screening out one or more to-be-touched terminals which correspond to the goods source information and conform to an awakened condition from a terminal list corresponding to a registered freight vehicle; sending a transportation invitation for the goods source information to the one or more to-be-touched terminals, and receiving response results returned by the one or more to-be-touched terminals; and determining a target freight vehicle from the freight vehicles corresponding to the one or more terminals to be touched according to the response result and the transportation attribute corresponding to the cargo source information, so as to transport the cargo indicated by the cargo source information through the target freight vehicle. According to the embodiment, the activeness of the terminals is kept balanced, the proportion of the sleeping terminals is reduced, and meanwhile the transportation capacity of the vehicle and goods matching platform is guaranteed.

The present invention belongs to the technical field of material conveying, and in particular, relates to a material conveying device for construction, including a movable plate and movable wheels arranged at the four corners of the lower side wall of the movable plate. The present invention can automatically set anti-skid strips on the surface of the conveyor belt after the discharge end of the material conveying device rises to a certain angle, and utilizes the anti-skid strips to improve the conveying capacity, and avoid the situation where the conveyor belt rises too much, which will cause the sand and gravel materials to slip, and when the material is discharged at a fixed point by using the dividing plate, the fixation between the anti-skid strip and the conveyor belt can be released, avoiding the problem of the anti-skid strip and the dividing plate conflicting with each other, and when the material on the surface of the conveyor belt is discharged at a fixed point by using the dividing plate, the wear degree of the conveyor belt surface can be detected, and when the detection finds that the surface friction of the conveyor belt is reduced due to wear, the operator can be reminded in time to replace the conveyor belt, thereby ensuring the conveying performance of the conveying device.

The present invention relates to a layout structure of a short-range missile air defense system integrated with a light bicycle, including a 4X4 light wheeled chassis, a weapon unit, a detection unit, a control unit, a power supply unit, and a missile tail flame protection device. The Y-shaped launch rack and the space conjugate drive structure of the heteromorphic quadrilateral mechanism are adopted to realize the miniaturization and light weight of the short-range missile air defense system structure, and achieve the system integration structure design on the 4X4 light chassis; through the high-rigidity composite structure of the missile pitch drive mechanism and the arc-shaped slide rail support assembly, the overall rigidity of the weapon unit in the vertical and lateral directions is ensured, and the heavy multi-vehicle separated structure of the existing short-range missile air defense system is optimized into a light bicycle integrated structure form. The entire system has a simple structure and a small volume, which is convenient for structural layout; the mechanism has high reliability and low cost, and the short-range missile air defense system can be used more conveniently when the conventional transportation capacity, financial resources, and personnel requirements are small.

To provide a conveyance vehicle system capable of causing each processing device to operate as much as possible by not setting a conveyance capability excessively and by processing a conveyance request based on the allowable value for a delay in a conveyance time.SOLUTION: A conveyance vehicle system 1 includes a conveyance vehicle controller 20 that controls unmanned conveyance vehicles 10 based on a conveyance request to convey goods from a conveyance originator place to a conveyance destination place. The conveyance vehicle controller 20 calculates, based on a buffer number n at a processing device at the conveyance destination place, the statistics of processing times at the processing device at the conveyance destination place, the conveyance time of a conveyance flow for a conveyance from the conveyance originator place to the processing device at the conveyance destination place, and a probability that represents a reliability for an un-occurrence of the delay for the conveyance of the goods, a variability allowable value for the conveyance time in the conveyance flow, and controls the unmanned conveyance vehicles 10 based on the variability allowable value.SELECTED DRAWING: Figure 1

The application discloses a heavy truck technical field and relates to a multi-section multi-layer carriage type highway electric carrying train, which comprises a vehicle head, a plurality of installation rods with the same structure, a plurality of carriages with the same structure, hub wheels arranged on the carriages, hydraulic telescopic rods arranged at the bottom of the carriages, supporting legs arranged at the bottom of the piston rods of the hydraulic telescopic rods, connecting female parts arranged at the left ends of the carriages, connecting male parts arranged at the right ends of the carriages and the installation rods, and a connection between the installation rods. The heavy truck has at least two carriages, the multi-section carriages can be folded and stored on the first carriage under the condition of no loading, the area occupied by the heavy truck is reduced, and the heavy truck is convenient to park; when the heavy truck is loaded, the multi-section carriages are sequentially connected through the connecting female parts and the connecting male parts, the transportation capacity of the heavy truck is improved, and the problem that the heavy truck cannot meet the increasing demand for large piece transportation is solved.

The invention relates to the field of support withdrawing, in particular to a hydraulic support withdrawing loading platform with a locking traction mechanism, which comprises a sliding platform, the locking traction mechanism and a locking track, the locking track is mounted on the sliding platform, and the locking traction mechanism is mounted on one side of the sliding platform; the locking traction mechanism comprises a tensioning oil cylinder, a chain, a driving assembly, a traction rail and a driven assembly, wherein the driving assembly is connected with the chain, and a support locking fixing pull ring is connected to the chain. The product is simple in structure, convenient and fast to operate and wide in application range, the locking traction mechanism and the locking track can greatly reduce safety risks existing in hydraulic support transportation, and the sliding platform is matched, so that the traction transportation capacity of the product can completely and easily cope with traction transportation work of underground large and ultra-large hydraulic supports.

The present invention belongs to the field of urban smart logistics technology and relates to an urban logistics distribution method that collaborates with buses and drones. The present invention is a new bus-drone collaborative distribution model suitable for non-peak traffic scenarios, and designs and constructs a two-layer decision-making framework. The upper-layer decision-making adopts the Dueling DQN algorithm that integrates a multi-head attention mechanism to reasonably match the package with the bus it should take. After the package is transported to a specific drone station by bus according to the upper-layer decision-making result, the lower-layer decision-making uses a heuristic algorithm to plan the paths of each drone. The present invention forms an efficient network of "trunk transportation + flexible terminals" by coordinating the idle transportation capacity of buses during non-peak periods with drone terminal distribution, which not only activates bus resources but also improves distribution efficiency, reducing traffic and pollution problems caused by additional vehicles in traditional solutions.