162 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 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 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 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 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 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.

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.

The application provides a steel industry chain logistics cost analysis system based on a blockchain technology, and the system comprises the following steps: obtaining a logistics cost model of a target transportation task constructed in advance; taking the minimum transportation cost and the shortest transportation time as optimization targets, optimizing the logistics cost model according to a first multi-objective optimization algorithm to determine a plurality of first optimal transportation schemes; determining a simplified logistics cost model according to the plurality of first optimal transportation schemes; and taking the minimum transportation cost and the shortest transportation time as optimization targets, optimizing the simplified logistics cost model according to a second multi-objective optimization algorithm to determine a second optimal transportation scheme. By using the algorithm with fast convergence speed to optimize and simplify the logistics cost model first, and then using the model with better convergence effect to optimize, the most reasonable transportation scheme can be quickly and accurately found out, and waste of transportation capacity is avoided.

The invention discloses a large methanol fuel container ship chimney area structure which comprises a main deck layer structure, an A deck layer structure, a B deck layer structure and a C deck layer structure, a fuel room is arranged on the side, located on a starboard, of the chimney area structure, the bottom of the fuel room is located on a main deck, and the top of the fuel room is located on a C deck. A methanol daily cabin is arranged in the fuel room, a methanol clarifying cabin is arranged at the top of the methanol daily cabin, a methanol equipment preparation room is arranged in the cabin located below the main deck, the methanol equipment preparation room is located under the methanol daily cabin, and the methanol daily cabin is communicated with the methanol equipment preparation room through a pipeline. The methanol equipment preparation room is provided with an independent structural air duct, and the structural air duct penetrates through the fuel room and extends to the position above the C deck. The methanol daily cabin and the methanol clarification cabin are arranged on the starboard of the chimney area structure, a deck area and a cargo hold area are not occupied, and the overall transportation capacity of the ship is improved.

The utility model relates to a split-type cabin, wind generating set and bearing seat, split-type cabin includes first cabin, second cabin and support piece, first cabin includes first base and first shell, first base and first shell are connected and enclose to form first chamber, first chamber is used for holding first equipment group; the second cabin is arranged on one side, in the height direction of the first cabin, of the first cabin and comprises a second base and a second shell, the second base and the second shell are connected and define a second containing cavity, and the second containing cavity is used for containing a second equipment set; one end of the supporting piece penetrates through the first shell and is used for being connected with the first equipment set, the other end of the supporting piece is connected with the second base, and the supporting piece is detachably connected with at least one of the second base and the first equipment set. According to the scheme, the cabin can be conveniently split into different modules to complete independent transportation, the problem that the transportation size of the cabin is too large is solved, and the transportation capacity of the cabin is improved.

The invention discloses a lifting pallet fork device for an intelligent stereoscopic warehouse, belongs to the field of warehouse logistics equipment, and aims to solve the problems that an existing lifting pallet fork device is small in single-time cargo transportation amount and low in efficiency, and a telescopic pallet fork mechanism is poor in stability and insufficient in adaptability. The device comprises a base, a supporting side plate, a lifting plate, a lifting driving assembly, a telescopic pallet fork mechanism, a belt pulley mechanism and a pallet fork auxiliary supporting assembly. A driving mechanism and movable wheels are arranged at the bottom of the base; the movable wheels are in rolling connection with the bottom rail to realize horizontal movement; sliding rails are arranged on the inner sides of the supporting side plates and slidably connected with the lifting plate. The device can transport multiple cargos at a time, the transfer efficiency is improved, meanwhile, the stability of the telescopic pallet fork mechanism is enhanced, adaptability and the automation degree are high, and the device is suitable for intelligent stereoscopic warehouse cargo lifting transfer scenes.

A kind of urban rail transit line transport capacity precision regulation and control method, comprising: S100. Obtain urban rail transit line transfer passenger data, according to the transfer passenger data, section passenger flow information is obtained;S200. Obtain car fixed number information, according to the section passenger flow information and car fixed number information, the section congestion degree of urban rail transit line is obtained, according to the section congestion degree, transfer passenger flow density information is obtained;S300. Establish periodic train diagram evaluation mechanism, according to the transfer passenger flow density information, optimize rail transit line train diagram;S400. Real-time update the transfer passenger flow density information, the train diagram iterative optimization is carried out, set the iteration number or other iteration termination condition, obtain the final rail transit line train diagram.The method disclosed in the application considers the distribution of transport capacity in transfer station with different transfer passenger flow density, can save passenger travel time, improve passenger satisfaction, and reasonably allocate transport capacity.

The present disclosure relates to the field of rail transit technology, and particularly relates to a heavy-haul train group cooperative control method and device, equipment and medium. The present disclosure determines the safety of the heavy-haul train cooperative control environment according to the segmented data of the laser radar and the speed and distance of the detected object to the solid-state laser radar. When the solid-state laser radar detects that the cooperative control environment is safe, that is, within the cooperative control distance range, in addition to the heavy-haul train in front, there is no other object, the solid-state laser radar will obtain the actual distance and speed of the heavy-haul train in front for cooperative control, and use the distance error and speed of the heavy-haul train as input and the speed regulation gain of the heavy-haul train as output to establish a heavy-haul train cooperative control regulation system, and optimize the minimum error adaptive fuzzy PID controller based on the improved particle swarm optimization algorithm, thereby shortening the distance of the heavy-haul train cooperative control, improving the railway transportation capacity, and effectively solving the shortcomings of the traditional control system in the dynamic environment.

A safety monitoring system for mine transportation equipment based on the Internet of Things, which relates to the technical field of equipment monitoring; constructs a physical model of mine transportation equipment, sets monitoring points to obtain monitoring data, constructs a simulation model of mine transportation equipment in combination with the physical model, obtains the tensile force difference under different simulation data sets in the simulation model, dynamically adjusts the mine transportation equipment and obtains different dynamic tensile force values, constructs a tensile force adjustment model of the mine transportation equipment, uses the tensile force adjustment model to dynamically adjust the mine transportation equipment, sets an evaluation period to obtain the total number of adjustments of the mine transportation equipment, determines whether there is abnormal adjustment equipment and generates corresponding optimization information; can always keep the tensile force in the forward direction of the mine car stable, thereby maintaining a stable driving speed and transportation capacity, and avoiding the occurrence of safety accidents such as rollover and out-of-control caused by uneven tensile force.

The present application belongs to the technical field of order scheduling, and discloses a multi-platform order collaborative fulfillment automated scheduling method and system, the method comprising: obtaining a reception timestamp when receiving inventory data of each warehouse and transportation capacity information of each logistics company, and based on the reception timestamp, calculating the timeliness score of each inventory data and each transportation capacity information in real time, which are recorded as a first timeliness score and a second timeliness score respectively; according to the first timeliness score and the second timeliness score, adjusting the allocated orders and allocating new orders to each platform to obtain order scheduling results; adjusting the allocated orders and allocating new orders to each platform according to the timeliness score of the inventory data and transportation capacity information determined by the reception timestamp when the information is received, thereby improving the scheduling efficiency of orders.

Various implementations directed to securitization of transportation units are provided. In one implementation, a method may include receiving origin location data and destination location data from a first user. The method may also include determining virtual hubs based on the origin location data and the destination location data. The method may further include determining virtual hub routes based on the virtual hubs. The method may additionally include receiving term specification data from the first user. The method may also include receiving attribute data for the virtual hub routes from the first user. The method may further include providing a transportation capacity exchange for transportation capacity units based on the virtual hub routes, the term specification data, and the attribute data. The method may additionally include transmitting a subset of the market depth data for the transportation capacity exchange to the first user.

The present application relates to the field of elevators, in particular to a roller lifting platform, comprising a base, a first roller assembly, a second roller assembly and a fork mechanism; the first roller assembly and the second roller assembly are respectively arranged on the base in a liftable manner; the first roller assembly comprises a pair of bearing plates and three groups of first roller mechanisms, the second roller assembly comprises a pair of mounting grooves and three groups of second roller mechanisms, and each mounting groove contains a fork mechanism. The fork mechanism completes the action of lifting and conveying the pallet with goods, replacing the action of workers lifting and conveying goods, avoiding the problem that workers cannot exert force under the conditions that "the height of the warehouse with relatively low transportation capacity cannot meet the height of a worker" and "the floor of the warehouse is not provided with a wheel structure for conveying goods", and improving the efficiency of goods entering and leaving the warehouse.

The invention relates to the technical field of mine mining area transportation, in particular to an inclined shaft auxiliary transportation system. The inclined shaft auxiliary transportation system comprises a hidden auxiliary inclined shaft and a transfer parking lot. The hidden auxiliary inclined shaft obliquely extends from top to bottom in the mining area, and the transfer parking lot is arranged on the side portion of the hidden auxiliary inclined shaft; overhead rails for the monorail crane to walk are arranged at the tops of the hidden auxiliary inclined shaft and the transfer parking lot; and when the hidden auxiliary inclined shaft is in the meeting working condition, the hidden auxiliary inclined shaft is used for driving, and the transfer parking lot is used for parking. According to the inclined shaft auxiliary transportation system, the safety of the monorail crane locomotive can be fully exerted, the effect of supporting simultaneous operation of multiple rows of locomotives is achieved by arranging the transfer parking lot communicated with the hidden auxiliary inclined shaft, the transportation capacity is doubled, high safety and high transportation efficiency are both considered, and the requirement for transporting a large number of materials in the inclined shaft can be completely met.

The invention discloses a transport capacity demand regulation and control reference data obtaining method, electronic equipment and storage equipment. The method comprises the following steps: obtaining production order prediction data and regulation and control benefit prediction data of a first distribution starting point and a first distribution ending point in a transport capacity demand regulation and control area under different transport capacity demand regulation and control feature data; the waybill bearing capacity prediction data, meeting the waybill performance requirement, of a second delivery starting and ending point in the transport capacity requirement regulation and control area are obtained, the starting point position of the second delivery starting and ending point comprises the starting point position of the first delivery starting and ending point, and the ending point position of the second delivery starting and ending point comprises the ending point position of the first delivery starting and ending point; and according to the waybill bearing capacity prediction data, the production bill prediction data and the regulation and control benefit prediction data, obtaining the transport capacity demand regulation and control reference data of the transport capacity demand regulation and control region. In this way, the transport capacity demand and the transport capacity are balanced, and the benefits obtained after regulation and control do not influence the waybill distribution ecological environment of the transport capacity demand regulation and control area as much as possible or slightly influence the waybill distribution ecological environment of the transport capacity demand regulation and control area.