CN118941177A - Air logistics process abnormality warning method and system, electronic equipment and storage medium - Google Patents
Air logistics process abnormality warning method and system, electronic equipment and storage medium Download PDFInfo
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Abstract
The application provides an aviation logistics flow abnormality early warning method and system, electronic equipment and a storage medium, wherein flight information of a target flight is firstly acquired; wherein the flight information includes target type information for describing a flight type of the target flight; when the target type information reflects that the target flight is an outgoing flight, acquiring the waybill information of the target flight, wherein the waybill information comprises the total amount of the logistics goods, accumulating the quantity of the logistics goods of the target flight, and performing goods quantity difference early warning when the quantity of the logistics goods is different from the total amount of the logistics goods; when the target type information reflects that the target flight is the incoming flight, acquiring the cabin door opening time and the incoming cargo handover time of the target flight, and carrying out incoming cargo handover early warning according to the cabin door opening time and the incoming cargo handover time. The method can realize information tracing and abnormal early warning of the aviation logistics goods under different conditions, and improves the coordination level and the operation efficiency of airport freight processing.
Description
Technical Field
The invention relates to the field of aviation logistics, in particular to an aviation logistics flow abnormality early warning method and system, electronic equipment and a storage medium.
Background
Aviation logistics management refers to the management activities of planning, organizing, coordinating and controlling aviation logistics processes. It relates to the efficient management of the air logistics network, transportation resources, information flows and logistics operations to ensure efficient transportation and delivery of goods. The aviation logistics management system aims at improving logistics efficiency to the greatest extent, reducing cost, providing good service and guaranteeing cargo safety.
In the related art, the whole aviation logistics flow involves a plurality of business links including cargo receiving, sorting, loading, flight transportation, clearance procedures and the like, and a unified cargo information processing and abnormality early warning system is absent among the links, so that the aviation logistics efficiency is low.
Disclosure of Invention
The present application aims to solve at least one of the technical problems existing in the prior art. Therefore, the application provides an aviation logistics flow abnormality early warning method and system, electronic equipment and a storage medium, which can realize information tracing and abnormality early warning of aviation logistics cargoes under different conditions, and improve the coordination level and the operation efficiency of airport freight handling.
In a first aspect, an embodiment of the present application provides an early warning method for anomaly in an aviation logistics flow, including:
Acquiring flight information of a target flight; wherein the flight information includes destination type information describing a flight type of the destination flight;
when the target type information reflects that the target flight is an outgoing flight, acquiring waybill information of the target flight, wherein the waybill information comprises the total amount of logistics goods, accumulating the number of the logistics goods of the target flight, and performing goods number difference early warning when the number of the logistics goods is different from the total amount of the logistics goods;
And when the target type information reflects that the target flight is the incoming flight, acquiring the opening time of a cabin door of the target flight, and carrying out incoming cargo handover early warning according to the opening time of the cabin door.
According to some embodiments of the application, after the target type information reflects that the target flight is an inbound flight, the method further comprises:
And determining the planned closing time of the cabin door of the target flight according to the flight information, continuously acquiring the current cargo adding time of the target flight in the cargo adding link, and triggering the load intercepting early warning operation when the time difference between the current cargo adding time and the planned closing time of the cabin door in the cargo adding link is smaller than a preset first time interval.
According to some embodiments of the application, after the target type information reflects that the target flight is an inbound flight, the method further comprises:
And determining the planned take-off time of the target flight according to the flight information, continuously acquiring the current handover time of the target flight in a handover link, and triggering departure handover early warning operation when the time difference between the current handover time and the planned take-off time is smaller than a preset second time interval.
According to some embodiments of the application, after the target type information reflects that the target flight is an inbound flight, the method further comprises:
and determining the planned take-off time of the target flight according to the flight information, acquiring the actual closing time of the cabin door, and triggering the cabin door closing early warning operation when the time difference between the actual closing time of the cabin door and the planned take-off time is smaller than a preset third time interval.
According to some embodiments of the application, the method further comprises:
When the load-intercepting early-warning operation is triggered, the departure handing-over early-warning operation is triggered or the cabin door closing early-warning operation is triggered, determining that the target flight enters a logistic abnormal state;
Detecting abnormal duration time corresponding to the abnormal state of the logistics in real time;
And triggering an abnormal alarm operation when the abnormal duration exceeds a preset fourth time interval.
According to some embodiments of the application, the early warning of the arrival cargo handover is performed according to the opening time of the hatch door and the arrival cargo handover time, including:
And triggering the port entering cargo handover early warning when the number of cargoes which are handed over in a fifth time interval preset after the opening time of the cabin door is smaller than the first preset number.
According to some embodiments of the application, the method further comprises:
And determining the quantity of the delivered goods of the target flight according to the flight information, and triggering the arrival goods delivery early warning operation when the quantity of the delivered goods completed in a sixth time interval preset after the cabin door opening time is smaller than the quantity of the delivered goods.
In a second aspect, an embodiment of the present application provides an anomaly early warning system for an aviation logistics flow, including:
the input layer is used for acquiring flight information and cargo processing states of a target flight, wherein the flight information comprises flight time, flight model, flight stop position, waybill information and cargo type;
The judging layer is used for carrying out early warning or alarming on abnormal conditions according to the flight information and the cargo processing state;
And the output layer is used for visually outputting or labeling the early warning result or the alarm result of the judgment layer.
In a third aspect, an embodiment of the present application provides an electronic device, including: the system comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the aviation logistics flow abnormality early warning method according to any one of the embodiments of the first aspect of the application when executing the computer program.
In a fourth aspect, an embodiment of the present application provides a computer readable storage medium, where a program is stored, where the program is executed by a processor to implement an aircraft logistics flow anomaly early warning method according to any one of the embodiments of the first aspect of the present application.
The aviation logistics flow abnormality early warning method provided by the embodiment of the application has at least the following beneficial effects:
According to the aviation logistics flow abnormality early warning method provided by the embodiment of the application, firstly, the flight information of a target flight is acquired; when the target type information reflects that the target flight is an outgoing flight, acquiring the waybill information of the target flight, wherein the waybill information comprises the total amount of the logistics goods, accumulating the quantity of the logistics goods of the target flight, and performing goods quantity difference early warning when the quantity of the logistics goods is different from the total amount of the logistics goods; when the target type information reflects that the target flight is the incoming flight, acquiring the cabin door opening time and the incoming cargo handover time of the target flight, and carrying out incoming cargo handover early warning according to the cabin door opening time and the incoming cargo handover time. The method can realize information tracing and abnormal early warning of the aviation logistics goods under different conditions, and improves the coordination level and the operation efficiency of airport freight processing.
Additional aspects and advantages of the application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application.
Drawings
The foregoing and/or additional aspects and advantages of the application will become apparent and may be better understood from the following description of embodiments taken in conjunction with the accompanying drawings in which:
FIG. 1 is a schematic flow diagram of an alternative method for early warning of anomaly in an aircraft logistics flow according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of another alternative method for early warning of anomaly in an aviation logistics flow provided by an embodiment of the present application;
FIG. 3 is a schematic flow chart of another alternative method for early warning of anomaly in an aviation logistics flow provided by an embodiment of the present application;
fig. 4 is a schematic flow diagram of another alternative method for early warning of abnormal flow of aviation logistics according to an embodiment of the present application;
FIG. 5 is a schematic diagram of an anomaly early warning system for an aviation logistics flow provided by an embodiment of the present application;
fig. 6 is a schematic diagram of two construction modes of an abnormal early warning system for an aviation logistics flow provided by an embodiment of the present application;
Fig. 7 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the application.
In the description of the present application, a number means one or more, a number means two or more, and greater than, less than, exceeding, etc. are understood to not include the present number, and above, below, within, etc. are understood to include the present number. If a description is given of a first, the second is only used for distinguishing technical features, and is not to be construed as indicating or implying relative importance or implying the number of technical features indicated or the precedence of the technical features indicated.
In the description of the present application, it should be understood that the direction or positional relationship indicated with respect to the description of the orientation, such as up, down, left, right, front, rear, etc., is based on the direction or positional relationship shown in the drawings, is merely for convenience of describing the present application and simplifying the description, and does not indicate or imply that the apparatus or element to be referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present application.
In the description of the present specification, reference to the terms "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
In the description of the present application, unless explicitly defined otherwise, terms such as arrangement, installation, connection, etc. should be construed broadly and the specific meaning of the terms in the present application can be determined reasonably by a person skilled in the art in combination with the specific content of the technical solution. In addition, the following description of specific steps does not represent limitations on the order of steps or logic performed, and the order of steps and logic performed between steps should be understood and appreciated with reference to what is described in the embodiments.
Aviation logistics management refers to the management activities of planning, organizing, coordinating and controlling aviation logistics processes. It relates to the efficient management of the air logistics network, transportation resources, information flows and logistics operations to ensure efficient transportation and delivery of goods. The aviation logistics management system aims at improving logistics efficiency to the greatest extent, reducing cost, providing good service and guaranteeing cargo safety. The abnormal early warning of the aviation logistics flow refers to that in the aviation logistics flow, potential abnormal conditions are timely found through monitoring and analyzing each link in the logistics flow, and corresponding measures are taken to avoid or reduce possible influences.
In the related art, since aviation logistics involves cargo transportation across countries and regions, there may be differences in logistics standards, procedures and management regulations between regions, resulting in regional cracking, limiting the circulation and transportation efficiency of cargo. Additionally, aviation logistics involve a large amount of data and information flow, including cargo tracking, transportation planning, flight information, data related to business, and the like. However, data management is often inefficient due to information islands between different parties, non-uniformity of data formats, incompatibility of information systems, and the like. Accurate cargo state monitoring is also critical to cargo tracking and transportation planning. However, due to technical limitations, equipment inadequacies, or timely sharing of information, there is often a lack of or hysteresis in cargo state monitoring. Therefore, how to realize information tracing and abnormal early warning of aviation logistics cargoes under different conditions is very important to improving the coordination level and the operation efficiency of airport freight handling.
Based on the method, the application provides an aviation logistics flow abnormality early warning method, which comprises the steps of firstly acquiring flight information of a target flight; wherein the flight information includes target type information for describing a flight type of the target flight; when the target type information reflects that the target flight is an outgoing flight, acquiring the waybill information of the target flight, wherein the waybill information comprises the total amount of the logistics goods, accumulating the quantity of the logistics goods of the target flight, and performing goods quantity difference early warning when the quantity of the logistics goods is different from the total amount of the logistics goods; when the target type information reflects that the target flight is the incoming flight, acquiring the cabin door opening time and the incoming cargo handover time of the target flight, and carrying out incoming cargo handover early warning according to the cabin door opening time and the incoming cargo handover time. The method can realize information tracing and abnormal early warning of the aviation logistics goods under different conditions, and improves the coordination level and the operation efficiency of airport freight processing.
Referring to fig. 1, the method for early warning of abnormal aviation logistics flow according to the embodiment of the present application may include, but is not limited to, the following steps 110 to 130:
Step 110, acquiring flight information of a target flight;
Step 120, when the target type information reflects that the target flight is an outgoing flight, acquiring the waybill information of the target flight, wherein the waybill information comprises the total amount of the logistics goods, accumulating the quantity of the logistics goods of the target flight, and performing the quantity difference early warning when the quantity of the logistics goods is different from the total amount of the logistics goods;
And 130, when the target type information reflects that the target flight is the incoming flight, acquiring the cabin door opening time of the target flight, and carrying out incoming cargo handover early warning according to the incoming cargo handover time.
In step 110 of some embodiments, flight information for the target flight is obtained through the airline's flight information system, flight monitoring service, or other related channels, including planned departure time, estimated arrival time, door opening or closing time, flight status, and freight information for the flight, among others. In addition, the flight information may further include target type information for describing a flight type of the target flight, such as an international flight, a domestic flight, a cargo type, and the like.
In step 120 of some embodiments, by acquiring the waybill information of the target flight, the information includes the total amount of the logistics goods, and simultaneously acquiring the amount of the logistics goods that are processed in real time, the accumulated amount of the logistics goods acquired is compared with the total amount of the logistics goods, and whether there is a difference in the amount is determined. If the quantity of the logistics goods does not accord with the total quantity of the logistics goods, namely, the quantity difference exists, the quantity difference early warning of the goods can be triggered. The pre-warning may be by a system notification, an alarm prompt or a reminder to the relevant person.
The waybill information refers to the related information of the recorded goods in the logistics process, and comprises the following contents:
Number of bill: each cargo can have a unique waybill number or two-dimensional code in the logistics process, and the unique waybill number or two-dimensional code is used for identifying and tracking the cargo.
Description of goods: the description of the goods includes the name, specification, quantity, etc. of the goods.
Flight information: the waybill information may also include flight related information such as flight number, departure airport, planned departure time, expected arrival time, etc.
Transportation state: the status of the goods during the logistics process, such as shipped, en route, arrived, etc., is recorded.
The waybill information may be recorded and managed by means of a logistics management system, a carrier's platform, an Electronic Data Interchange (EDI) system, etc. This information is important for tracking, monitoring and early warning of the logistics process to ensure the safe and on-time delivery of goods.
Referring to fig. 2, in some embodiments, the type of the target flight is first determined, for example, an outbound flight or inbound flight, an international flight or a domestic flight, and the waybill information of the target flight is acquired, and the check waybill information and the security check operation are performed, at this time, real-time data flow collection is performed on the processed goods, and the number of the goods actually processed is calculated in an accumulated manner, and after the corresponding business processing is completed, for example, the outbound flight may involve loading the goods onto an aircraft, the inbound flight may involve unloading, and so on. And judging the quantity of the accumulated logistics goods and the total quantity of the logistics goods in the bill information, and if the quantity is not consistent, triggering the goods quantity difference early warning operation.
In some embodiments, the cargo of the target flight may be assembled by the assembler, so that the information of the assembler needs to be acquired, where the information includes binding information of the waybill information and the assembler, and then the number of the physical cargo is indirectly calculated through the binding relationship between the assembler and the waybill, and if the number is not the same, the cargo number difference early warning operation is triggered. Wherein, the container has a many-to-many relation with the waybills, one waybill can correspond to a plurality of containers, and one container can correspond to a plurality of waybills.
In step 130 of some embodiments, when the destination flight type is an inbound flight, an inbound cargo handoff warning may be performed. The method comprises the following specific steps:
Acquiring the cabin door opening time of a target flight: and acquiring the opening time of the cabin door of the target flight from the flight information, namely, opening the cabin door to start goods delivery after the flight arrives at the destination.
Early warning is carried out according to the arrival goods handing-over moment: comparing the delivery time of the goods entering the port with the opening time of the cabin door, and judging whether the goods are delivered in a delayed or advanced mode. If the arrival cargo delivery time and the hatch door opening time do not accord with the preset time range, the arrival cargo delivery early warning can be triggered.
Referring to fig. 3, in some embodiments, after the waybill information of the target flight is obtained, the type of the cargo needs to be determined according to the waybill information. The judgment of the cargo type can be identified according to the relevant fields or attributes in the freight bill, such as cargo names, package identifiers, dangerous goods marks and the like. Common types of goods include domestic ordinary goods, domestic urgent goods, valuables, dangerous goods, fresh and perishable goods, and the like.
The purpose of judging the cargo type is to perform corresponding operation and early warning in subsequent processing. Different types of goods may require different measures to be taken, such as special packaging requirements, special handling procedures or preferential treatment, etc. In addition, different types of goods may have specific requirements for handover, transportation, storage, etc., so that accurate judgment of the type of goods is very important for ensuring the safety and smoothness of logistics operation.
In some embodiments, the cargo information may be stored by a bar code, consisting of 16-digit consecutive digits, a voyage settlement code (first three digits, e.g., 784, 999), an airline manifest number (fourth through eleventh digits), a separator digit (tenth digit, typically 0), a single cargo number (thirteenth through sixteenth digits representing each cargo number in a piece of cargo, and four zeros if the area is not used). The bar code information of the goods is obtained through the bar code reading equipment, and the bar code can be scanned by adopting a fixed or mobile handheld terminal according to specific conditions and requirements, or the bar code information can be scanned by adopting a fixed channel type bar code scanning equipment, so that the bar code information has the capacity of prompting unread codes and has the manual supplementary scanning function. The channel reading code should reach a reading rate of more than 99%.
Among them, laser scanning is the most commonly used means for collecting tracking point data in the field of air transportation, and both fixed laser scanners and hand-held laser scanners are relatively common. The goods label may be bent and stained in the handling process, so that the readability in the transportation process is reduced, and therefore, the laser scanning needs to provide a guarantee for a good processing environment, and the label bar code is ensured to be displayed completely and clearly as far as possible.
Optical image scanning is a new technology for acquiring a cargo bar code number based on image recognition, and is rarely applied to the field of aviation transportation at present. It may be a stationary scanner or a hand-held scanner. The method utilizes the camera to acquire the complete image of the goods label and then converts the information in the image into a 16-bit goods bar code number by matching with an algorithm, and compared with laser scanning, the method has lower requirements on the definition and the bending degree of the label. However, the identification effect of the label is still affected when the label is bent and stained seriously.
After the cargo information is determined, the incoming port cargo handover early warning and corresponding processing operation can be performed according to specific conditions. The early warning operation may include notifying personnel, adjusting the time of the handover, or taking other action to ensure proper handling and handover of the goods.
In some embodiments, the opening time of the cabin door of the target flight, that is, the time of opening the cabin door to perform the cargo handover after the flight arrives at the destination, may be obtained, and the operation of performing the incoming cargo handover early warning is as follows:
Calculating time intervals: first, the fifth time interval needs to be set by determining the door opening time and the exact time at which the cargo starts to be handed over. This time interval refers to the period of time from when the door is opened to when all cargo handoffs are scheduled to be completed.
Comparing the number of goods: and in the fifth time interval, comparing the quantity of the cargos which are actually delivered with the preset quantity of the delivered first lot of cargos. This step aims at evaluating whether the handover of all the goods can be completed within a specified time, i.e. comparing the number of goods that have been handover with the number of goods remaining to be handover.
Triggering early warning operation: if the number of the cargos actually completed to be handed over is smaller than the preset number of the first lot of cargos to be handed over, the fact that the handover of all cargos cannot be completed before the cabin door is closed according to the current progress is indicated. At this time, the early warning operation should be triggered.
Purpose of early warning operation: the purpose of the pre-warning is to alert the relevant personnel to possible handover delays or problems and to take measures to avoid these problems, such as rescheduling handover times, adjusting workflow or negotiating solutions with the relevant parties, etc.
The purpose of the early warning operation is to recognize in advance the delay or problem of the handover that may occur and to take corresponding measures, such as re-scheduling the handover, adjusting the workflow or negotiating solutions with the relevant parties, etc. Ensuring the safety of goods and timely delivery are key links in logistics operation.
In some embodiments, the number of handover cargos of the target flight may be determined according to the flight information, and when the number of handover cargos completed in the sixth time interval preset after the door opening time is smaller than the number of handover cargos, the incoming cargo handover early warning operation is triggered. Namely, judging whether the final goods delivery can be completed within the regular time of opening the cabin door. If not, triggering the incoming cargo handover early warning operation. The early warning operation may include:
System notification: and through a logistics management system or related software, the system sends an automatic notification to related personnel when the goods handover early warning is triggered. The notification may include information of handover delay, information of the number of goods, and possibly influence or risk.
Alarming and prompting: and sending out early warning signals to related personnel through sound, flash lamps or other visual and audible prompting devices.
Emergency contact: upon triggering of the pre-warning, an alarm signal or related information is sent to the relevant personnel, such as ground staff, team members responsible for the delivery of the cargo or superordinate authorities, to ensure that they are aware of the delayed delivery and take the necessary action.
Service time rearrangement: and (3) rearranging the time or resource allocation of cargo service processing according to the early warning information so as to reduce service delay as much as possible and ensure that related services can be completed smoothly on time.
In some embodiments, for a domestic flight, the parameters associated with the hand-over time early warning, namely the fifth time interval and the sixth time interval, may be adjusted according to the type of incoming cargo. The time interval and the condition of the early warning can be adjusted according to factors such as the emergency degree, the size and the processing difficulty of the goods. For example, for perishable goods or living animals, it may be desirable to provide a shorter hand-over time and an earlier early warning time point to ensure the quality and safety of the goods.
For international flights, in view of the complexity (such as tariffs, quarantines, etc.) that may be involved, the goods handover early warning may be performed according to the handover completion time of the first lot of goods and the handover completion time of the last lot of goods. This is not only concerned with overall handover progress, but also with particular attention to the efficiency of the start and end phases. If the first shipment is delayed, this may indicate a problem with the overall shipment, requiring immediate action. Similarly, if the delivery of the last batch of goods cannot be completed within a preset time, the early warning should be triggered, and corresponding remedial measures are taken.
In some embodiments, after the target type information reflects that the target flight is an inbound flight, the method further includes triggering a load-cut early warning operation according to the flight information, which is specifically as follows:
acquiring the planned closing time of the cabin door: and acquiring the planned closing time of the cabin door of the target flight from the flight information. This refers to the time when the prescribed cargo loading is completed and the door is closed.
Continuously acquiring the current loading time: and continuously acquiring the current cargo adding time of the target flight in the cargo adding link through real-time monitoring or communication with ground staff. This refers to the actual time that the targeted flight is carrying out the cargo load.
Calculating a time difference: and calculating the time difference between the current loading time and the planned closing time of the cabin door.
Comparing the time difference: the time difference is compared with a preset first time interval.
Triggering load-cut early warning operation: and if the time difference is smaller than a preset first time interval, triggering the load-cut early warning operation. The early warning operation can be performed through system notification, alarm prompt or communication with related personnel.
When the load-intercepting early warning operation is triggered, ground staff, airline staff and other related staff can be timely notified through system notification, short messages, emails or other communication modes, and the load-intercepting condition of the target flights of the ground staff, the airline staff and the other related staff is reminded. Or more ground staff or equipment resources are scheduled according to the early warning information so as to accelerate the loading speed of cargoes and ensure that loading work is completed before the planned closing time of the cabin door; the order of loading of the redistributed cargo may also be considered to prioritize the loading of important or critical cargo to ensure that it can complete the loading before the door is closed. If the situation is urgent, it may be necessary to negotiate with the airline to delay the door closing moment in order to have enough time to complete the loading of cargo. This requires negotiations with the relevant aspects, confirming whether delayed door closure is possible or not and the effect that it may have. The goal of the cut-off early warning operation is to ensure that the cargo can be loaded before the planned closing moment of the hatch, to avoid flight delays and other operational problems.
Referring to fig. 4, in some embodiments, before the condition of the load-cut early warning is determined, the model of the target flight needs to be determined, for example, the model is a narrow body machine or a wide body machine, and the determination of the parking apron position may be further added. And setting corresponding judgment conditions according to different machine types and parking apron positions. For example, for a narrow body machine or at a parking apron position adjacent to a terminal building, a shorter load-cut early warning time interval can be set; and for a container wide body machine or a parking apron at a far position, a long load intercepting and early warning time interval can be set. By considering factors such as machine type and parking apron position, the load intercepting and early warning conditions can be customized according to different conditions so as to adapt to different types of flights and parking apron conditions. This helps to more accurately determine the timing of the load cut and take corresponding action to ensure proper operation of the flight.
In some embodiments, after the target type information reflects that the target flight is an inbound flight, the method further includes triggering an departure handover early warning operation according to the flight information, which is specifically as follows:
and acquiring the planned departure time of the target flight from the flight information. This refers to the predicted departure time specified in the flight plan.
Continuously acquiring the current handover time: and continuously acquiring the current handover moment of the target flight in the handover link through real-time monitoring or communication with related personnel. This refers to the actual time of the target flight handoff job.
Calculating and comparing the time difference: and calculating the time difference between the current handover time and the planned take-off time, comparing the time difference with a preset second time interval, and triggering departure handover early warning operation if the time difference is smaller than the preset second time interval.
The purpose of departure hand-over early warning operation is to realize in advance that the current hand-over time is close to the planned take-off time when the planned take-off time is close, and take corresponding measures to ensure timely completion of hand-over work and on-time take-off of flights.
In some embodiments, after the destination type information reflects that the destination flight is an inbound flight, further comprising:
And determining the planned take-off time of the target flight according to the flight information, acquiring the actual closing time of the cabin door, and triggering the cabin door closing early warning operation when the time difference between the actual closing time of the cabin door and the planned take-off time is smaller than a preset third time interval. The purpose of the cabin door closing early warning operation is to realize that the cabin door closing time is close to the planned take-off time in advance when the planned take-off time is close, and take corresponding measures to ensure timely completion of the cabin door closing work and on-time take-off of flights.
In some embodiments, the targeted flight is determined to enter a logistical anomaly state when a load-cut pre-warning operation, an departure cross-over pre-warning operation, or a hatch-closing pre-warning operation is triggered. This means that the flight may be subject to an abnormal situation such as a load-blocking problem, a delay in departure handover, or a delay in closing the door, and at this time, the abnormal duration corresponding to the abnormal state of the logistics starts to be detected in real time. This can be achieved by recording the abnormal state start time and comparing it with the current time. The anomaly duration is calculated from the anomaly state start time and the current time. This may be achieved by time difference calculation. The anomaly duration is compared with a preset fourth time interval. If the abnormality duration exceeds a preset fourth time interval, an abnormality alert operation is triggered. The alarm operation may be performed by system notification, alarm prompting, or communication with the relevant person. The purpose of the anomaly alarm operation is to remind relevant personnel to pay attention to and take corresponding corrective measures when the duration of the logistic anomaly state exceeds a certain threshold value so as to ensure the normal operation of the flight and deal with potential problems.
In some embodiments, the cargo business of the target flight further comprises a cargo security check link, and a cargo security check plan is formulated according to the cargo characteristics and the security requirements of the target flight. The plan should include information such as time, place, flow and required resources of security check, and the following is an example of the cargo security check early warning flow:
acquiring information of the goods from a goods registration system or a related database, including the type, source, destination and the like of the goods;
A series of security check rules are preset according to security check requirements and experience. These rules may include forbidden item listings, suspicious item features, risk assessment, etc.;
screening the goods to be subjected to the security inspection link, wherein the screening can be performed by using security inspection equipment such as an X-ray machine, a metal detector and the like or by visual inspection by security inspection personnel;
triggering security inspection early warning when the goods accord with preset security inspection rules or are considered to have potential risks. May be automatically detected by the system or triggered by a security personnel based on empirical judgment.
Once the security inspection early warning is triggered, security inspection personnel carry out detailed inspection on the goods, including further use of security inspection equipment, manual unpacking inspection, chemical reagent detection and the like;
and judging whether the goods are safe or not according to the detailed checking result. If the cargo is confirmed as safe, the transportation process can be continued, and if there is a potential threat, further measures such as quarantining the cargo, notifying relevant departments, etc. may need to be taken;
and after the cargo security inspection early warning triggering and the result judgment, notifying related personnel according to cargo information. This may be accomplished by a system alarm, notification to a security supervisor, or other relevant personnel. At the same time, security results and related information will be recorded and archived.
In some embodiments, the data generated by the whole aviation logistics flow should be provided with data exchange nodes established with airports, airlines and third-party platforms (such as express companies) so as to realize real-time data tracing and data exchange functions. The data tracing service is a service application after data acquisition, comprises service functions such as query tracing and statistical analysis, and can provide tracing service against the non-routine conditions such as unreachable goods bill arrival and no label.
Fig. 5 shows a schematic diagram of an anomaly early warning system for an aviation logistics flow, which includes:
The input layer 510 is configured to obtain flight information and cargo handling status of the target flight, where the input layer 510 plays a role in collecting and obtaining data in the aircraft logistics flow anomaly early warning system. It is the first layer of the system to receive and acquire various information and data related to the early warning system. The primary function of the input layer 510 is to collect, acquire and integrate data from different information sources for subsequent processing and analysis. Specifically, the input layer 510 is configured to obtain the following types of information:
Flight information: including flight time, flight model, flight stop, etc., so that the system knows the basic information of the flight.
Waybill information: the system comprises a bill number, the number of cargoes, the weight of cargoes, a cargo information code and the like, and is used for tracking and identifying cargoes and carrying out relevant processing and analysis in an early warning system.
Cargo handling state: the processing states of cargoes in different links, such as loading, unloading, transferring and the like in the transportation process, are recorded so that the system can monitor and identify abnormal conditions.
Cargo type: the type or classification of the goods, such as dangerous goods, perishable goods, etc., is indicated so that the system sets corresponding safety rules and pre-warning conditions according to different types of goods.
Service operation time: and recording service operation time stamps of all links, and monitoring time information of cargo circulation so that the system can analyze and early warn timeliness.
The purpose of the input layer 510 is to integrate such information and data from different sources into a unified data interface for subsequent decision layer 520 to process, analyze and pre-alarm decisions on the data. Through the data acquisition and integration of the input layer 510, the aviation logistics flow abnormality early warning system can acquire comprehensive information, and a basis is provided for subsequent early warning and processing.
And the judging layer 520 is used for carrying out early warning or alarming on abnormal conditions according to the flight information and the cargo handling state. The judging layer 520 is a core part in the abnormal early warning system of the aviation logistics flow and is responsible for early warning or alarming judgment of abnormal conditions according to the data and information provided by the input layer 510. The main function of the judgment layer 520 is to analyze the input data through a preset rule, algorithm or model, identify potential abnormal conditions, and generate corresponding early warning or alarm results.
Specifically, the judgment layer 520 may perform the following tasks:
Abnormality detection: based on the data such as flight information, waybill information, cargo handling status, etc. provided by the input layer 510, possible abnormal conditions are detected through preset rules or machine learning algorithms. For example, the system may detect anomalies such as flight delays, lost goods, broken goods, etc.
Early warning judgment: based on the result of the anomaly detection, the judgment layer 520 may perform early warning on the potential anomaly. According to a preset rule or model, the system can judge whether the state of a certain flight or goods reaches the condition for triggering early warning, and if the condition is met, a corresponding early warning signal or notification is generated.
And (3) alarm judgment: for more severe anomalies, the judgment layer 520 may trigger an alarm mechanism. When serious abnormality or dangerous situation occurs in the state of a certain flight or goods, the system can immediately give an alarm to inform related personnel or departments to carry out emergency treatment.
Decision support: decision layer 520 may also provide decision support for system objects based on the input data and anomalies. By analyzing and predicting, the system can provide advice and guidance regarding flight scheduling, cargo handling optimization, etc., helping the subject make more reasonable decisions.
The design and implementation of decision layer 520 may be customized according to specific business needs and system requirements. The function of the decision layer 520 may be implemented by methods such as a rule engine, a machine learning algorithm, a data analysis technique, etc. The key is to ensure that the judging layer 520 can accurately identify abnormal conditions and timely generate early warning or alarming results so as to improve the safety and efficiency of the aviation logistics flow.
The output layer 530 is responsible for presenting the early warning or alarm result generated by the judgment layer 520 to the system object or related personnel in a visual or labeled form. The primary function of the output layer 530 is to pass information of the abnormal situation to the subject so that they can understand and take corresponding actions in time.
The following are optional functions and forms of the output layer 530:
Visual display: the output layer 530 may visually present the pre-alarm or alert results to the subject. This may include the form of a chart, dashboard, map, etc. to present the anomalies detected by the system in an intuitive and easily understood manner. For example, the system may mark the location of delayed flights on a map or graphically display the number trend of cargo breaks.
Alarm notification: for emergency anomalies, output layer 530 may send alert information to the relevant personnel by way of an alert notification. This may be in the form of an audible alarm, a short message, an email, etc. to ensure that the relevant personnel can receive and take the necessary countermeasures in time.
Report generation: the output layer 530 may generate detailed reports of the pre-warnings or alarms to provide more comprehensive information and analysis results. The report may include descriptions of the abnormal situation, impact analysis, pre-warning levels, etc., to help the subject better understand and handle the abnormal situation.
And (3) data export: the output layer 530 may also support the function of exporting data of the abnormal situation as a file for further analysis and processing of the object. The object may export the data in the form of excl, CSV, etc. for deeper data analysis in other tools or systems.
And (3) real-time monitoring: part of the output layer 530 may provide real-time monitoring functions to continuously track changes and evolutions of abnormal situations. This can be accomplished through a real-time updated chart, dashboard or panel, enabling the subject to learn about anomalies in the system in real-time.
The design of the output layer 530 should be customized according to the needs of the object and the usage scenario. The key is to ensure that the output layer 530 can clearly and accurately convey the information of the abnormal situation, and help the object to quickly identify and process the abnormal situation, thereby improving the safety and efficiency of the aviation logistics flow.
Fig. 6 shows two construction modes of an aviation logistics flow abnormality early warning system provided by the embodiment of the application, wherein the construction of the system can be started from a bottom layer business link related business system or acquisition equipment, and interacts with the system through an airport corresponding region production network; and the related mobile equipment realizes the access of data through wireless networks such as industrial wireless AP, LTE, 3G/4G/5G and the like. The outside will interface with the data exchange platform through the network of the operator and the Internet, and the exchange platform interacts with other airports for service data such as messages. The construction method comprises the following two optional modes:
private cloud processing construction: the system is deployed in a private cloud server in an airport production domain, and has higher safety and autonomous control capability. Private cloud construction may provide greater data security because data storage and processing are both performed in the internal network of the airport. The airport can be maintained, upgraded and reformed autonomously, and specific requirements can be better met. The method is suitable for airports with larger traffic scale, and can be independently maintained, updated and reformed. The safety is higher, and the corresponding construction and maintenance cost is higher.
Public cloud processing construction: the public cloud server is deployed in an external public network public cloud server, so that construction and maintenance cost can be saved, and special server hardware equipment is not required to be purchased and maintained. Meanwhile, the use amount of cloud resources can be flexibly adjusted according to actual demands, and the elasticity and the scalability of the system are improved. The method is suitable for airports with high requirements on economy or airports with limited I T resource and maintenance teams. The public cloud processing construction can provide flexible resource allocation and cost control, and is suitable for the conditions of smaller operation scale or larger requirement fluctuation.
Fig. 7 shows an electronic device 700 provided by an embodiment of the application. Electronic device 700 includes, but is not limited to: the processor 701, the memory 702, and the computer program stored in the memory 702 and capable of running on the processor 701, where the computer program is used to execute the foregoing method for early warning of abnormal flow of aviation logistics, the processor 701 and the memory 702 may be connected by a bus or other means.
The memory 702 is used as a non-transitory computer readable storage medium for storing a non-transitory software program and a non-transitory computer executable program, such as an anomaly early warning method for an aviation logistics flow according to an embodiment of the present application. The processor 701 executes the non-transitory software program and instructions stored in the memory 702, thereby implementing the above-mentioned method for early warning of abnormal aviation logistics flow.
Memory 702 may include, but is not limited to, a storage program area that may store an operating system, at least one application program required for functionality, and a storage data area. The storage data area can store and execute the aviation logistics flow abnormality early warning method. Further, the memory 702 may include high-speed random access memory 702, and may also include non-transitory memory 702, such as at least one storage device memory device, flash memory device, or other non-transitory solid state memory device. In some implementations, the memory 702 may optionally include memory 702 remotely located relative to the processor 701, the remote memory 702 being connectable to the electronic device 700 through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The non-transitory software programs and instructions required to implement the above-described airlift flow anomaly early warning method are stored in the memory 702 and when executed by the one or more processors 701, perform the above-described airlift flow anomaly early warning method.
The embodiment of the application also provides a computer readable storage medium which stores computer executable instructions for executing the aviation logistics flow abnormality early warning method.
In some embodiments, the computer-readable storage medium stores computer-executable instructions that are executed by one or more control processors.
The above described apparatus embodiments are merely illustrative, wherein the units illustrated as separate components may or may not be physically separate, i.e. may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
Those of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as known to those skilled in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, storage device storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer. Furthermore, as is well known to those of ordinary skill in the art, communication media typically include computer readable instructions, data structures, program modules, or other data in a modulated data signal, such as a carrier wave or other transport mechanism, and may include any information delivery media. It should also be appreciated that the various embodiments provided by the embodiments of the present application may be arbitrarily combined to achieve different technical effects.
While the preferred embodiment of the present application has been described in detail, the present application is not limited to the above embodiments, and those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit and scope of the present application, and these equivalent modifications or substitutions are included in the scope of the present application as defined in the appended claims.
Claims (10)
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN120218781A (en) * | 2025-03-11 | 2025-06-27 | 天时达物流科技江苏有限公司 | An air cargo logistics transportation management system based on intelligent algorithm optimization |
| CN120875586A (en) * | 2025-09-26 | 2025-10-31 | 南京中理外轮理货有限公司 | Port tally early warning method, system, equipment and storage medium |
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- 2024-07-22 CN CN202410981139.2A patent/CN118941177A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN120218781A (en) * | 2025-03-11 | 2025-06-27 | 天时达物流科技江苏有限公司 | An air cargo logistics transportation management system based on intelligent algorithm optimization |
| CN120875586A (en) * | 2025-09-26 | 2025-10-31 | 南京中理外轮理货有限公司 | Port tally early warning method, system, equipment and storage medium |
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