CN117933855A - Automatic aircraft rapid loading and unloading object method - Google Patents
Automatic aircraft rapid loading and unloading object method Download PDFInfo
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Abstract
The invention relates to the technical field of cargo handling, in particular to a method for automatically and rapidly handling cargoes by an aircraft, which comprises the following steps: before the goods leave the port, sorting the goods according to destination information by a goods sorting and marking system, marking the goods by a bar code or RFID technology, and determining the loading position and sequence of the goods in advance; step2, an automatic loading and unloading device, namely, loading cargoes into an aircraft cargo compartment from a ground transport vehicle or a warehouse and unloading the cargoes to the ground from the aircraft cargo compartment by utilizing the automatic loading and unloading device, a cargo conveyor system and a mechanical loading and unloading arm according to the identification information of the cargoes; and 3, the logistics management system is matched with automatic loading and unloading equipment, and is used for tracking and dispatching cargoes. The loading and unloading efficiency is improved: the automatic loading and unloading equipment and the logistics management system are applied, so that the loading and unloading efficiency of the aircraft cargo is greatly improved, and the loading and unloading time is shortened.
Description
Technical Field
The invention relates to the technical field of cargo handling, in particular to a method for fast cargo handling of an automatic airplane.
Background
With the rapid development of the economic society in China, the logistics industry development presents a vigorous machine, enters a high-speed growth period, reduces logistics cost, shortens logistics time, and becomes a target pursued by various large logistics enterprises.
Initially, mainstream logistics enterprises are used for shortening logistics time and improving transportation frequency, and on the basis of land transportation, goods with urgent needs and high added value are transported in a civil aviation manned transportation mode. Although the logistics time can be shortened by the civil aviation personnel freight transportation, and the purpose of improving the efficiency is achieved, the mode has the following defects: firstly, people in civil aviation drive and transport, including participation of people (pilots), inevitably generate labor cost; secondly, considering the limitation of large manned freight aircraft on airport runways, most of civil aviation manned aircraft are matched with large civil aviation airports, so that airport load is necessarily brought; finally, large and medium airports in China are mostly distributed in provincial and isocentric cities, and cannot be effectively covered in remote areas, so that insufficient logistics capacity of civil aviation branches is caused.
Along with the development of science and technology, the application of unmanned aerial vehicle under commodity circulation scene will open up the new passageway of aviation commodity circulation of domestic trunk line and branch line, effectively solves the problem such as inconvenient, the transportation efficiency low of remote area commodity circulation transportation. The unmanned aerial vehicle freight transportation mode has obvious advantages. Firstly, unmanned, the manpower cost is reduced; and secondly, the unmanned aerial vehicle cargo aircraft has small mass and low requirements on airport runways, can be suitable for civil airports, can also operate at remote navigation airports, realizes seamless connection of a shipping trunk line and branch lines, and greatly improves the operation efficiency.
Cargo handling devices are an important component of cargo transport aircraft for assisting a user in loading or unloading cargo into or from an aircraft cargo hold;
Traditional aircraft cargo handling relies mainly on manual operations, is inefficient, and is prone to damage or loss of cargo. Although there have been some attempts in recent years to automate handling systems, they have often suffered from complex handling, low accuracy, inability to accommodate various cargo forms, and the like. Therefore, developing an efficient, safe, adaptable, and easy to operate automated aircraft rapid loading and unloading system is an urgent need in the current air transportation arts.
Disclosure of Invention
The invention aims to provide a method for rapidly loading and unloading cargoes by an automatic airplane, which aims to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: an automated aircraft rapid cargo handling method comprising the steps of:
Step1, goods sorting and marking
Before the goods leave the port, sorting the goods according to destination information by a goods sorting and identifying system, identifying the goods by a bar code or RFID technology, and determining the loading position and sequence of the goods in advance;
step2, automatic assembling and disassembling equipment
The automatic loading and unloading equipment, the cargo conveyer belt system and the mechanical loading and unloading arm are utilized to rapidly load cargoes from a ground transport vehicle or a warehouse into an aircraft cargo compartment and unload cargoes from the aircraft cargo compartment to the ground according to the identification information of the cargoes;
step 3, logistics management system
The logistics management system is used for tracking and scheduling cargoes in cooperation with automatic loading and unloading equipment, the system can monitor the transportation state and the position of cargoes in real time, and efficient loading and unloading and transferring of cargoes are realized by optimizing path planning and resource allocation;
Step 4, multipoint parallel operation
In the loading and unloading process of the aircraft, a multipoint parallel operation mode is adopted, namely a plurality of loading and unloading points are arranged in front of and behind the cargo hold of the aircraft, and loading and unloading operations are carried out simultaneously, so that the efficiency of loading and unloading operations is improved, and the cargo loading and unloading time is effectively reduced.
Preferably, the cargo identification sorting method in step 1 includes the following steps:
Step 1-1, data acquisition and labeling;
Step 1-2, model training;
Step 1-3, goods identification;
through the steps of data acquisition and labeling, model training and goods identification, the goods can be identified with high accuracy, and the transportation efficiency and the operation accuracy of the logistics industry are improved.
Preferably, in the step 1-1, in the data collection and labeling, the camera or the laser scanning device is used for collecting the goods and labeling the collected data, and the labeling process can include goods boundary frame calibration and category label labeling operation, so as to construct a data set containing a large number of labeling samples for training a model.
Preferably, in the training of the model in step 1-2, a deep learning algorithm, such as convolutional neural network (Convolutional Neural Network, CNN), is used to train the collected and labeled data set to learn the characteristics and types of the cargo, and in the training process, a data enhancement technology, such as rotation, scaling and overturn technology, is used to increase the diversity and robustness of the data.
Preferably, the steps 1-3 and goods identification process the images acquired in real time by using the trained model and output the identification result, and the process comprises the steps of image preprocessing, feature extraction and classification, and the high-efficiency and accurate identification of the goods can be realized by comparing the learned features of the model with the features of the input image.
Preferably, the cargo tracking and scheduling method in the logistics management system comprises the following steps:
Step 3-1, sensor deployment;
step 3-2, data collection and processing;
Step 3-3, an intelligent scheduling algorithm;
Step 3-4, real-time monitoring and feedback;
through the steps of sensor deployment, data processing and intelligent scheduling algorithm, the optimization and the efficiency improvement of the logistics transportation process are realized.
Preferably, in the step 3-1, the sensor is deployed, and the sensor device is installed at the critical positions of the goods, the transportation means and the freight place, so as to collect the logistics information, such as the goods position, the temperature and the humidity parameters, and the sensor can be connected with the cloud platform through the wireless network to provide reliable data transmission.
Preferably, in the step 3-2, data collection and processing are performed, the cloud platform collects data generated by the sensor and processes and analyzes the data, including data cleaning, feature extraction and anomaly detection, and real-time state and position key information of goods can be obtained through analysis and mining of the data.
Preferably, the intelligent scheduling algorithm performs cargo scheduling by using the intelligent scheduling algorithm based on the collected data and the historical transportation experience, and specific parameters of the intelligent scheduling algorithm are obtained as cargo types, destinations and availability and efficiency of transportation means, so that optimal route planning and distribution of cargoes are realized.
Preferably, the step 3-4 is to monitor and feed back in real time, feed back the cargo state and the position information to related personnel and systems in real time through the Internet of things and the mobile communication technology, realize real-time monitoring of the cargo, and schedule and process in time.
Compared with the prior art, the invention has the beneficial effects that:
the method for rapidly loading and unloading the objects of the automatic aircraft has the following advantages:
the loading and unloading efficiency is improved: the automatic loading and unloading equipment and the logistics management system are applied, so that the loading and unloading efficiency of the aircraft cargo is greatly improved, and the loading and unloading time is shortened.
The operation risk is reduced: the application of the automatic loading and unloading equipment can reduce manual operation and reduce risks of misoperation and manual injury.
The service quality is improved: through the cooperation of goods sorting and identification and logistics management system, more accurate and rapid goods tracking and dispatching service can be provided, and service quality is improved.
The cost is saved: the application of the quick loading and unloading method can reduce the labor time of a crew member and loading and unloading workers and reduce the operation cost.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for rapidly loading and unloading an object for an automated aircraft in accordance with the present invention;
FIG. 2 is a flow chart of a second method for loading and unloading an object quickly by an automated aircraft according to the present invention;
FIG. 3 is a flow chart diagram of a method for sorting cargo identifiers according to the present invention;
FIG. 4 is a flow chart diagram of a method for sorting cargo identifiers according to the present invention;
fig. 5 is a flow chart of a cargo tracking and scheduling method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1 to 5, the present invention provides a technical solution:
Example 1:
an automated aircraft rapid cargo handling method comprising the steps of:
Step1, goods sorting and marking
Before the goods leave the port, sorting the goods according to destination information by a goods sorting and identifying system, identifying the goods by a bar code or RFID technology, and determining the loading position and sequence of the goods in advance;
step2, automatic assembling and disassembling equipment
The automatic loading and unloading equipment, the cargo conveyer belt system and the mechanical loading and unloading arm are utilized to rapidly load cargoes from a ground transport vehicle or a warehouse into an aircraft cargo compartment and unload cargoes from the aircraft cargo compartment to the ground according to the identification information of the cargoes;
step 3, logistics management system
The logistics management system is used for tracking and scheduling cargoes in cooperation with automatic loading and unloading equipment, the system can monitor the transportation state and the position of cargoes in real time, and efficient loading and unloading and transferring of cargoes are realized by optimizing path planning and resource allocation;
Step 4, multipoint parallel operation
In the loading and unloading process of the aircraft, a multipoint parallel operation mode is adopted, namely a plurality of loading and unloading points are arranged in front of and behind the cargo hold of the aircraft, and loading and unloading operations are carried out simultaneously, so that the efficiency of loading and unloading operations is improved, and the cargo loading and unloading time is effectively reduced.
Example 2:
The goods identification sorting method comprises the following steps:
step 1-1, data acquisition and labeling, namely acquiring cargoes through a camera or laser scanning equipment, labeling the acquired data, wherein the labeling process can comprise cargo boundary frame calibration and category label labeling operation, and a data set containing a large number of labeling samples is constructed and used for training a model;
Step 1-2, training a model, namely training an acquired and marked data set by using a deep learning algorithm such as a convolutional neural network (Convolutional Neural Network, CNN) to learn the characteristics and the types of cargoes, and adopting a data enhancement technology such as a rotation, scaling and overturning technology in the training process to increase the diversity and the robustness of the data;
Step 1-3, goods identification, processing images acquired in real time by using a trained model, and outputting an identification result, wherein the process comprises the steps of image preprocessing, feature extraction and classification, and the goods can be identified efficiently and accurately by comparing the features learned by the model with the features of the input image;
through the steps of data acquisition and labeling, model training and goods identification, the goods can be identified with high accuracy, and the transportation efficiency and the operation accuracy of the logistics industry are improved.
Example 3:
The cargo tracking and scheduling method in the logistics management system comprises the following steps:
Step 3-1, sensor deployment, wherein sensor equipment is installed at key positions of cargoes, transport means and freight places and used for acquiring logistics information such as cargo positions, temperature and humidity parameters in real time, and the sensor can be connected with a cloud platform through a wireless network to provide reliable data transmission;
Step 3-2, data collection and processing, wherein the cloud platform collects data generated by the sensor and processes and analyzes the data, the data comprises the steps of data cleaning, feature extraction and anomaly detection, and real-time state and position key information of cargoes can be obtained through analysis and mining of the data;
Step 3-3, an intelligent scheduling algorithm is used for scheduling cargoes based on the collected data and historical transportation experience, specific parameters of the intelligent scheduling algorithm are obtained as the type of the cargoes, the destination and the availability and the efficiency of transportation means, and optimized route planning and distribution of the cargoes are realized;
step 3-4, real-time monitoring and feedback, namely feeding back the cargo state and the position information to related personnel and systems in real time through the Internet of things and a mobile communication technology, so that real-time monitoring of cargoes is realized, and timely scheduling and processing are performed;
through the steps of sensor deployment, data processing and intelligent scheduling algorithm, the optimization and the efficiency improvement of the logistics transportation process are realized.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (10)
1. An automatic aircraft rapid cargo handling method is characterized in that: the method comprises the following steps:
Step1, goods sorting and marking
Before the goods leave the port, sorting the goods according to destination information by a goods sorting and identifying system, identifying the goods by a bar code or RFID technology, and determining the loading position and sequence of the goods in advance;
step2, automatic assembling and disassembling equipment
The automatic loading and unloading equipment, the cargo conveyer belt system and the mechanical loading and unloading arm are utilized to rapidly load cargoes from a ground transport vehicle or a warehouse into an aircraft cargo compartment and unload cargoes from the aircraft cargo compartment to the ground according to the identification information of the cargoes;
step 3, logistics management system
The logistics management system is used for tracking and scheduling cargoes in cooperation with automatic loading and unloading equipment, the system can monitor the transportation state and the position of cargoes in real time, and efficient loading and unloading and transferring of cargoes are realized by optimizing path planning and resource allocation;
Step 4, multipoint parallel operation
In the loading and unloading process of the aircraft, a multipoint parallel operation mode is adopted, namely a plurality of loading and unloading points are arranged in front of and behind the cargo hold of the aircraft, and loading and unloading operations are carried out simultaneously, so that the efficiency of loading and unloading operations is improved, and the cargo loading and unloading time is effectively reduced.
2. An automated aircraft rapid cargo handling method according to claim 1, wherein: the cargo identification sorting method in the step 1 comprises the following steps:
Step 1-1, data acquisition and labeling;
Step 1-2, model training;
Step 1-3, goods identification;
through the steps of data acquisition and labeling, model training and goods identification, the goods can be identified with high accuracy, and the transportation efficiency and the operation accuracy of the logistics industry are improved.
3. An automated aircraft rapid cargo handling method according to claim 2, wherein: in the step 1-1, in the data acquisition and labeling, the cargoes are acquired through a camera or a laser scanning device, the acquired data are labeled, the labeling process can comprise the operations of cargo boundary box calibration and category label labeling, and a data set containing a large number of labeling samples is constructed and used for training a model.
4. An automated aircraft rapid cargo handling method according to claim 2, wherein: in the step 1-2, a deep learning algorithm, such as convolutional neural network (Convolutional Neural Network, CNN), is used in model training to train the collected and labeled data set so as to learn the characteristics and the types of goods, and in the training process, a data enhancement technology, such as rotation, scaling and overturning technology, is adopted so as to increase the diversity and the robustness of the data.
5. An automated aircraft rapid cargo handling method according to claim 2, wherein: and step 1-3, goods identification, processing images acquired in real time by using a trained model, and outputting an identification result.
6. An automated aircraft rapid cargo handling method according to claim 1, wherein: the cargo tracking and scheduling method in the logistics management system comprises the following steps:
Step 3-1, sensor deployment;
step 3-2, data collection and processing;
Step 3-3, an intelligent scheduling algorithm;
Step 3-4, real-time monitoring and feedback;
through the steps of sensor deployment, data processing and intelligent scheduling algorithm, the optimization and the efficiency improvement of the logistics transportation process are realized.
7. An automated aircraft rapid cargo handling method according to claim 6, wherein: and 3-1, deploying sensors, namely installing sensor equipment at key positions of cargoes, transport means and freight places, wherein the sensor equipment is used for acquiring logistics information such as cargo positions, temperature and humidity parameters in real time, and the sensors can be connected with a cloud platform through a wireless network to provide reliable data transmission.
8. An automated aircraft rapid cargo handling method according to claim 6, wherein: and 3-2, collecting and processing data, wherein the cloud platform collects data generated by the sensor and processes and analyzes the data, the data comprises the steps of data cleaning, feature extraction and anomaly detection, and real-time state and position key information of goods can be obtained through analysis and mining of the data.
9. An automated aircraft rapid cargo handling method according to claim 6, wherein: and 3-3, an intelligent scheduling algorithm is used for scheduling the cargoes based on the collected data and the historical transportation experience, and specific parameters of the intelligent scheduling algorithm are acquired as the type of the cargoes, the destination and the availability and the efficiency of transportation means, so that the optimized route planning and distribution of the cargoes are realized.
10. An automated aircraft rapid cargo handling method according to claim 6, wherein: and 3-4, real-time monitoring and feedback, and real-time feedback of the cargo state and the position information to related personnel and systems through the Internet of things and a mobile communication technology, so that real-time monitoring of the cargo is realized, and timely scheduling and processing are performed.
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