A method and system for accurately loading cargo with multiple loading units on a feeder cargo plane

Abstract

The present invention relates to a method for accurate cargo loading of multiple loading units on a feeder cargo plane, specifically, measuring the geometric size data and weight data of random cargo, constructing a standardized loading model corresponding to the real-time random cargo according to the obtained geometric size data and weight data, and storing the standardized loading model of the random cargo in a designated location; generating an original loading model corresponding to the loading unit according to the volume structure of the loading unit itself, inputting the original loading model to a designated location, and then incorporating the standardized loading model of the random cargo into the original loading model corresponding to the loading unit for loading logic calculation and operation; comparing the standardized loading model with the original loading model one by one in terms of volume and weight, and generating a corresponding loading plan. The present invention also relates to a related loading system. Through the present invention, accurate loading of random cargo is achieved, so that it can be widely used in the technical field of non-deterministic multi-objective matching control methods.

Description

Technical Field

[0001] The present invention relates to the technical field of non-deterministic multi-target matching control methods, and specifically refers to a method and system for accurately loading cargo into multiple loading units on a feeder cargo plane, and more particularly to a logical method for loading non-deterministic random cargo into multiple loading units with multi-target requirements. Background Art

[0002] Since the concept of the multi-level air transport logistics system has just been proposed, there is no standardized definition of the "trunk", "feeder" and "terminal" air logistics systems at all levels. According to the existing civil aviation system standards, trunk-level cargo aircraft are wide-body and narrow-body cargo aircraft in the current civil aviation transportation system, with a range of generally hundreds of kilometers to thousands of kilometers, and a single cargo capacity of tens to hundreds of tons. The terminal-level cargo aircraft is the current multi-rotor drone for cargo, with a range of generally within 30 kilometers and a single cargo capacity of less than 30 kilograms. The feeder-level cargo aircraft has a transportation distance and cargo capacity between the "trunk" and "terminal" air logistics systems. Different models can be developed according to specific freight needs. It is suitable for air logistics transportation from logistics hub nodes to logistics center nodes within provincial areas. Its range is generally 100-500 kilometers, and the single cargo capacity is around 1-5 tons.

[0003] At present, feeder-class cargo aircraft are a blank area in the three-level air logistics system, and are still in the initial stage worldwide. With the strong demand of China's air logistics market and the gradual refinement of the industry, my country's research and development in this field is relatively fast. In October 2017, the feeder-class cargo UAV AT200, developed by the Institute of Engineering Thermophysics of the Chinese Academy of Sciences and Longstar UAV Company as the overall unit, jointly with the 618th Institute of Aviation Industry, the 54th Institute of China Electronics, the 773rd Institute of Aerospace, and the Northwest University of Technology, completed its first flight. The aircraft has a payload of 1.5 tons, a total length of 11.84 meters, a wingspan of 12.80 meters, a height of 4.04 meters, and a cargo hold volume of 10 cubic meters. This drone can efficiently complete point-to-point freight feeder transportation services and is the world's first tonnage-class feeder-class cargo UAV.

[0004] At present, the feeder-class cargo UAVs under development have mainly conducted flight performance tests of empty aircraft, and have not yet conducted flight tests under cargo loading conditions. This series of UAVs still needs to undergo a series of flight tests with different cargo loading amounts, multiple complex flight environments, and different take-off and landing conditions before they can meet the airworthiness certification standards and truly serve my country's aviation logistics industry. As for the existing feeder-class manned aircraft, they are mainly used in manned, surveying, aerial photography, agricultural and forestry plant protection and other fields, and rarely involve the cargo loading process. Even if there is a cargo loading process, manual loading is still used due to its small cargo load. Therefore, whether it is for the feeder-class cargo UAVs under development or the more mature feeder-class manned aircraft, there is currently no more mature cargo efficient loading solution applied to the logistics industry.

[0005] With the diversified development of air logistics demand and the gradual improvement of the three-level intelligent air logistics system of "trunk-feeder-terminal", the relatively blank "feeder" air logistics transportation will gradually become a hot spot for technology and market research. The efficiency of cargo loading will inevitably become one of the core technical indicators affecting the development of feeder freighters. The improvement of this indicator can not only improve the operating efficiency of the air logistics system of feeder freighters within the airport working range, but also improve the airport's cargo professional capabilities. At present, the technology of industrial-grade feeder cargo aircraft used in the logistics industry in the civil field is still in the initial stage of research and development, and its supporting cargo efficient loading technology is in its infancy, and it is in urgent need of rapid research and development of innovative technologies.

[0006] For existing trunk-class cargo aircraft, their cabin structures are all wide-body and narrow-body structures, and aviation containers (Unit Load Device, ULD for short) are used to complete efficient loading of cargo during cargo loading. Because their cabin structures are large, the range of changes in the center of gravity of the aircraft during cargo loading is small, and their container units only consider technical issues of cargo loading, which are less related to the cabin structure. However, the cabin structure of feeder-class cargo aircraft is much smaller, belonging to an ultra-narrow-body cabin structure. The law of changes in the center of gravity during loading is significantly different from that of trunk-class cargo aircraft. In order to meet the overall weight requirements of the aircraft, the weight of each container unit must be distributed according to the overall weight, and the weight mass is different, and the weight and volume of the cargo itself are also different, which is a standardized loading problem of "random" cargo. Therefore, it is particularly important to realize the logical algorithm of accurately loading "random" cargo into container units with different weight mass and volume requirements. Summary of the invention

[0007] In order to solve the above technical problems, the technical solution provided by the present invention is:

[0008] A method for accurately loading cargo with multiple loading units on a feeder cargo plane, wherein the cargo is random cargo with random volume and weight, and the multiple loading units are a plurality of cubic spaces arranged in sequence from the front end to the rear end of the cabin in the feeder cargo plane, and the cubic spaces are used to accommodate the random cargo, comprising the following steps:

[0009] Measuring the geometrical dimension data and weight data of random cargo, constructing a standardized loading model corresponding to the real-time random cargo according to the obtained geometrical dimension data and weight data, and storing the standardized loading model of random cargo in a designated location;

[0010] Generate the original loading model corresponding to the loading unit according to the volume structure of the loading unit itself, input the original loading model to the specified location, and then incorporate the standardized loading model of random goods into the original loading model corresponding to the loading unit to perform loading logic calculation and operation;

[0011] Compare the volume and weight of the standardized loading model with the original loading model one by one to generate the corresponding loading plan.

[0012] Furthermore, when comparing the standardized loading model with the original loading model, the following sub-steps are included:

[0013] 1) When the standardized loading model does not exceed the weight standard of the original loading model, the next standardized loading model is loaded in sequence;

[0014] 2) If the weight exceeds the standard but the volume does not exceed the standard after comparison, an overweight logic calculation is performed to generate a cargo loading plan for the loading unit;

[0015] 3) If the weight does not exceed the standard and the volume exceeds the standard after comparison, the excess volume logic calculation is performed to generate the cargo loading plan and enter the next loading unit loading plan simulation;

[0016] 4) If both weight and volume exceed the standard after comparison, the overweight logic calculation is run first, and the overvolume logic calculation is performed after removing the lightest overloaded cargo model. The "minimum density loaded cargo model" is gradually removed through repeated iterative calculations until overweight occurs and the volume does not exceed the standard. The cargo loading plan for the loading unit is generated, and then the loading plan simulation for the next loading unit is entered until all are completed.

[0017] Furthermore, when the volume of the standardized loading model exceeds the standard, the density of the standardized model of the loaded cargo is calculated first, and then the loaded cargo model with the minimum density is removed, and then it is fed back to the "random cargo standardized loading model" calculation step, and the next standardized cargo model is loaded in sequence for loading calculation.

[0018] Furthermore, the loading standard of the loading unit is determined according to the overall structure of the feeder freighter, the wing structure, the door opening method, the number of loading units and the overall center of gravity balance requirement of the feeder freighter.

[0019] The present invention also provides a technical solution:

[0020] A cargo precise loading system for multiple loading units on a feeder cargo plane, the loading system is executed according to the precise loading method described above, including a random cargo measurement module, a data storage module, a model building module, a centralized control module and an operation calculation module, and also includes a power supply module, wherein:

[0021] The random measurement module is used to measure the geometric dimensions and weight of random goods, and transmit the obtained geometric dimension data and weight data to the data storage module for storage, and the data storage module is electrically connected to the centralized control module, the random goods measurement module, and the model establishment module respectively;

[0022] The model building module is used to build a standardized loading model according to the geometric dimensions and weight data of the random goods, and to build an original loading model according to the structure and volume of the loading unit; the data storage module is used to store the geometric dimensions and weight data of the random goods, and to store the standardized loading model and the original loading model;

[0023] The centralized control module is used to incorporate the standardized loading model into the original loading model for simulation after receiving the standardized loading model and the original loading model;

[0024] The operation calculation module is electrically connected to the centralized control module, and calculates the weight and volume of the standardized loading model and the original loading model, and transmits the calculated data to the centralized control module for model comparison, thereby generating a loading plan;

[0025] The power supply module is used to provide power to the random cargo measurement module, the data storage module, the model building module, the centralized control module and the operation calculation module.

[0026] Furthermore, the random cargo measurement module includes a three-dimensional size scanner and an electronic scale connected in parallel; the data storage module includes a hard disk storage or a computer client; the model building module includes a three-dimensional model building software, and the three-dimensional model building software includes CATIA software for engineering.

[0027] After adopting the above structure and loading method, the present invention has the following advantages:

[0028] 1) There is currently no precise loading method for random cargo in multiple loading units of feeder cargo planes. This invention provides an intelligent demand loading logic calculation method for random cargo to standardized loading units that complies with industry standards, is safe, reliable, efficient, fast, and highly specialized. It is particularly suitable for the "feeder" logistics and transportation system in the "trunk-feeder-terminal" three-level aviation logistics system, which can greatly improve the loading efficiency of feeder cargo planes and enhance the cargo professional capabilities of airports;

[0029] 2) This technical method can realize the standardized and accurate loading process of random goods with non-determined items;

[0030] 3) The technical method and system can scientifically and accurately load multiple different loading units, each of which has multiple loading targets;

[0031] 4) The logical operation of this technical method takes the weight balance standard as the core of judgment, ensuring the strict weight balance requirements of each loading unit and ensuring the center of gravity balance during the loading process of the feeder freighter. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a schematic diagram of the process of the embodiment of the patent of the present invention;

[0033] Figure 2 It is a schematic diagram of the connection relationship of various modules in an embodiment of the present invention. DETAILED DESCRIPTION

[0034] The present invention is further described in detail below in conjunction with the accompanying drawings.

[0035] Combined with Figure 1 and attached Figure 2 A method for accurate cargo loading of multiple loading units on a feeder cargo plane, wherein the cargo is random cargo with random volume and weight, and the loading unit is a number of loading intervals divided in the cabin of the feeder cargo plane; firstly, the random cargo measurement system measures the size data and weight data of the random cargo, and the centralized control system constructs a real-time standardized loading model of the random cargo according to the measured size data and weight data, and simulates the generated standardized loading models of the random cargo one by one in the centralized control system, and loads them into the original loading model of the loading unit.

[0036] When incorporating the standardized loading model corresponding to random cargo into the original loading model corresponding to the loading unit, the following operating steps are included:

[0037] 1) During the simulation loading process, after each random cargo standardized model is loaded, it is first necessary to synchronously determine whether the weight standard and volume standard of the loading unit are exceeded. If the feedback information is "no", the next random cargo standardized loading model is loaded in sequence;

[0038] 2) If the feedback information of the calculation step "Exceeding the counterweight standard" is "Yes" and the feedback information of the calculation step "Exceeding the volume standard" is "No", then enter the "Overweight calculation step" to perform logical calculation and generate the cargo loading plan for the loading unit;

[0039] 3) If the feedback information of the calculation step "exceeding the volume standard" is "yes" and the feedback information of the calculation step "exceeding the counterweight standard" is "no", then enter the "exceeding volume calculation step" for logical calculation, and finally generate a cargo loading plan, and enter the next cargo hold loading plan simulation process;

[0040] 4) If the feedback information of the calculation steps of "exceeding the volume standard" and "exceeding the counterweight standard" are both "yes", the "overweight calculation step" is prioritized for logical calculation, and the "exceeding the volume standard" calculation step is entered after removing the lightest overloaded cargo model. If the feedback information is "yes", the "exceeding the volume standard" calculation step is entered for logical calculation, and the iterative calculation is repeated by gradually removing the "minimum density loaded cargo model" until the synchronous calculation of the "exceeding the counterweight standard" feedback information is "no". When the "exceeding the volume standard" feedback information is "no", the cargo loading plan of the loading unit is generated according to the logical calculation, and then the next cargo hold loading plan simulation process is entered until all loading units are fully loaded and the overall loading plan for the final multi-loading unit cargo is generated.

[0041] In this process, the calculation logic of the "overweight calculation step" is to give priority to calculating the overload weight, and then compare it with the model weight of the loaded cargo, and then generate the cargo loading plan after removing the lightest overload cargo model; the calculation logic of the "overvolume calculation step" is to give priority to calculating the model density of the loaded cargo, and then remove the minimum density loaded cargo model, and then feed back to the "random cargo standardized loading model" calculation step, load the next standardized cargo model in sequence, and perform loading calculations; the centralized control system already has data for each loading unit before loading, including the weight standard, volume structure and other parameters of each loading unit.

[0042] The weight standard of each loading unit is calculated based on the number, structure, loading position and overall balance of the center of gravity of the feeder freighter, and the weight standard is strictly followed. Specifically, the volume loading standard of each loading unit is formulated based on the overall structure, wing structure, door opening method, number of loading units and overall center of gravity balance of the feeder freighter.

[0043] In the present invention, the whole operation process is based on the counterweight standard as the core of judgment, that is, the "overweight calculation step" must be completed and the cargo loading plan of the loading unit must be generated. The random cargo standardized loading model is the minimum cube loading model with the actual weight of the cargo and can cover the complete volume of the cargo structure. The original loading model of the loading unit is a standard cube loading model with fixed counterweight.

[0044] The cargo standardization model is temporarily stored in the database, and it is a temporary database for the random cargo standardized loading model removed after the "overweight calculation step" or "overvolume calculation step". After the cargo loading plan for the loading unit is generated, the standardized cargo loading model in the database will enter the simulation loading process of the next loading unit in sequence.

[0045] In specific implementation, the present invention is implemented using the following system.

[0046] A cargo precise loading system for multiple loading units on a feeder cargo plane includes a random cargo measurement module, a data storage module, a model building module, a centralized control module, and an operation calculation module, and also includes a power supply module, wherein:

[0047] The random measurement module is used to measure the geometric dimensions and weight of random goods, and transmit the obtained geometric dimension data and weight data to the data storage module for storage. The data storage module is electrically connected to the centralized control module, the random goods measurement module, and the model establishment module respectively;

[0048] The model building module is used to build a standardized loading model according to the geometric dimensions and weight data of random goods, and to build an original loading model according to the structure and volume of the loading unit; the data storage module is used to store the geometric dimensions and weight data of random goods, and to store the standardized loading model and the original loading model;

[0049] The centralized control module is used to incorporate the standardized loading model into the original loading model for simulation after receiving the standardized loading model and the original loading model;

[0050] The operation calculation module is electrically connected to the centralized control module, and calculates the weight and volume of the standardized loading model and the original loading model. After the calculation data is obtained, it is transmitted to the centralized control module for realizing the comparison of the models, thereby generating a loading plan;

[0051] The power supply module is used to provide power to the random cargo measurement module, the data storage module, the model building module, the centralized control module and the operation calculation module.

[0052] The random goods measurement module includes a three-dimensional size scanner and an electronic scale connected in parallel; the data storage module includes a hard disk storage or a computer client; the model building module includes a three-dimensional model building software, and the three-dimensional model building software includes CATIA software for engineering.

[0053] The present invention provides a method for accurate cargo loading of multiple loading units on a feeder cargo plane. The technical method generates a loading scheme for each loading unit one by one based on the generated standardized loading model of random cargo and the original loading model of each loading unit divided in the cabin of the feeder cargo plane through weight standard judgment and volume standard judgment. The control module then controls the corresponding mechanical structure through the loading scheme, thereby realizing intelligent demand loading of random cargo to standardized loading units.

Claims

1. A method for accurately stowing cargo with multiple loading units on a feeder cargo plane, wherein the cargo is random cargo with random volume and weight, and the multiple loading units are a plurality of cubic spaces arranged in sequence from the front end to the rear end of the cabin in the feeder cargo plane, and the cubic spaces are used to accommodate the random cargo, and are characterized in that: The following steps are involved: Measuring the geometrical dimension data and weight data of random cargo, constructing a standardized loading model corresponding to the real-time random cargo according to the obtained geometrical dimension data and weight data, and storing the standardized loading model of random cargo in a designated location; Generate the original loading model corresponding to the loading unit according to the volume structure of the loading unit itself, input the original loading model to the specified location, and then incorporate the standardized loading model of random goods into the original loading model corresponding to the loading unit to perform loading logic calculation and operation; Compare the volume and weight of the standardized loading model with the original loading model one by one to generate the corresponding loading plan; When comparing the standardized loading model with the original loading model, the following sub-steps are included: 1) When the standardized loading model does not exceed the weight standard of the original loading model, the next standardized loading model is loaded in sequence; 2) If the weight exceeds the standard but the volume does not exceed the standard after comparison, an overweight logic calculation is performed to generate a cargo loading plan for the loading unit; 3) If the weight does not exceed the standard and the volume exceeds the standard after comparison, the excess volume logic calculation is performed to generate the cargo loading plan and enter the next loading unit loading plan simulation; 4) If both weight and volume exceed the standard after comparison, the overweight logic calculation is run first, and the overvolume logic calculation is performed after removing the lightest overloaded cargo model. The "minimum density loaded cargo model" is gradually removed and iterative calculation is repeated until overweight occurs and the volume does not exceed the standard. The cargo loading plan of the loading unit is generated, and then the loading plan simulation of the next loading unit is entered until all are completed; When the volume of the standardized loading model exceeds the standard, the density of the standardized model of the loaded cargo is calculated first, and then the loaded cargo model with the minimum density is removed, and then it is fed back to the "random cargo standardized loading model" calculation step, and the next standardized cargo model is loaded in sequence for loading calculation.

2. The method for accurately stowing cargo with multiple loading units on a feeder cargo plane according to claim 1, characterized in that: The loading standard of the loading unit is determined according to the overall structure, wing structure, door opening method, number of loading units and overall center of gravity balance requirements of the feeder freighter.

3. A precise cargo loading system for multiple loading units on a feeder cargo aircraft, characterized in that: The loading system is implemented according to the precise loading method of claim 1, and includes a random cargo measurement module, a data storage module, a model building module, a centralized control module, and an operation calculation module, and also includes a power supply module, wherein: The random cargo measurement module is used to measure the geometric dimensions and weight of random cargo, and transmit the obtained geometric dimension data and weight data to the data storage module for storage. The data storage module is electrically connected to the centralized control module, the random cargo measurement module, and the model establishment module respectively; The model building module is used to build a standardized loading model according to the geometric dimensions and weight data of the random goods, and to build an original loading model according to the structure and volume of the loading unit; the data storage module is used to store the geometric dimensions and weight data of the random goods, and to store the standardized loading model and the original loading model; The centralized control module is used to incorporate the standardized loading model into the original loading model for simulation after receiving the standardized loading model and the original loading model; The operation calculation module is electrically connected to the centralized control module, and calculates the weight and volume of the standardized loading model and the original loading model, and transmits the calculated data to the centralized control module for model comparison, thereby generating a loading plan; The power supply module is used to provide power to the random goods measurement module, the data storage module, the model building module, the centralized control module and the operation calculation module.

4. The precise cargo loading system for multiple loading units on a feeder cargo plane according to claim 3, characterized in that: The random cargo measurement module includes a three-dimensional size scanner and an electronic scale connected in parallel; the data storage module includes a hard disk storage or a computer client; the model building module includes a three-dimensional model building software, and the three-dimensional model building software includes CATIA software for engineering.

Images