Air logistics information monitoring method, device and equipment and storage medium

Abstract

The present application relates to the field of aviation logistics information management, and discloses an aviation logistics information monitoring method, device, equipment and storage medium.The method comprises the following steps: obtaining logistics order information of goods to be transported;extracting declared feature information in the logistics order information, and generating a plurality of reported orders corresponding to the logistics order information according to a preset layout type according to the declared feature information;extracting attribute information of each dimension data of each reported order, and performing visual configuration of the corresponding data channel on each dimension data according to the attribute information to obtain an order monitoring view;when the logistics update data is obtained, performing risk assessment on the logistics update data and the reported order by using the analytic hierarchy process to obtain an evaluation result;selecting a target data channel from the data channel corresponding to each dimension data according to the evaluation result, and updating the order monitoring view.The effective monitoring and management of aviation logistics transportation information is realized.

Description

Technical Field

[0001] This invention relates to the field of aviation logistics information management, and in particular to an aviation logistics information monitoring method, apparatus, equipment and storage medium. Background Technology

[0002] With global economic integration, continuous growth in economic and trade activities, and the deepening reform of my country's civil aviation economic and management system, air transport has experienced rapid development in my country's transportation industry. Its freight volume accounts for a growing proportion of the national total, and its importance in freight transport is constantly increasing alongside the rapid development of logistics. Furthermore, with the continuous growth of express delivery services, the corresponding transport aircraft and networks are expanding, and domestic and international commodity transactions are becoming increasingly frequent. This has led to a series of problems related to air cargo transportation. Failure to promptly relay express parcel information and corresponding logistics orders can result in logistics management risks and economic losses.

[0003] Current air logistics suffers from limitations in monitoring cargo information during transport. While the origin of the goods is known, detailed tracking from shipment to arrival is unavailable. This is particularly problematic for specialized items, as the real-time movement of goods cannot be quickly monitored. Consequently, logistics companies operating air transport cannot effectively monitor and manage their cargo, making it difficult to guarantee service quality. In short, current air transport systems suffer from low efficiency in monitoring logistics information. Summary of the Invention

[0004] The main objective of this invention is to solve the problem of low efficiency in monitoring logistics information in existing air transport.

[0005] The first aspect of this invention provides an air logistics information monitoring method, comprising: acquiring logistics order information of goods to be transported; extracting declaration feature information from the logistics order information, and generating multiple reporting orders corresponding to the logistics order information according to the declaration feature information and a preset layout type; extracting attribute information of each dimension of the reported orders, and visually configuring the corresponding data channels of the data of each dimension according to the attribute information to obtain an order monitoring view; when logistics update data is acquired, performing a risk assessment on the logistics update data and the reported orders using the analytic hierarchy process (AHP) to obtain an assessment result; and selecting a target data channel from the data channels corresponding to the data of each dimension according to the assessment result to update the order monitoring view.

[0006] Optionally, in a first implementation of the first aspect of the present invention, the step of generating multiple reporting orders corresponding to the logistics order information according to the declaration feature information and a preset layout type includes: determining the layout logic and multiple layout regions corresponding to the declaration feature information according to the preset layout type; selecting a heterogeneous layout structure corresponding to each layout region according to the layout logic, and constructing multiple heterogeneous components using the declaration feature information according to each heterogeneous layout structure; and combining each heterogeneous component into its corresponding layout region to obtain multiple reporting orders.

[0007] Optionally, in a second implementation of the first aspect of the present invention, the step of extracting attribute information of each dimension of the reported order data includes: determining the attribute dimension corresponding to each reported order, and matching the corresponding attribute calculation function according to the attribute dimension; calculating the value of the attribute dimension corresponding to each reported order according to the attribute calculation function, and generating corresponding attribute information based on the calculated value.

[0008] Optionally, in a third implementation of the first aspect of the present invention, the step of performing visualization configuration of the corresponding data channels for the data of each dimension according to the attribute information to obtain an order monitoring view includes: determining the functional components connected to the corresponding data channels of the data of each dimension, and matching the configuration methods and multiple configuration attributes corresponding to each functional component; matching the attribute information corresponding to each configuration attribute, and configuring the order monitoring view of the corresponding dimension data according to the matched attribute information using the configuration method.

[0009] Optionally, in the fourth implementation of the first aspect of the present invention, the step of using the analytic hierarchy process (AHP) to perform risk assessment on the logistics update data and the reported orders when logistics update data is obtained, and obtaining the assessment result, includes: when logistics update data is obtained, extracting multiple risk factors corresponding to the logistics update data and each of the reported orders; calculating the risk weights corresponding to each of the risk factors, and constructing risk weight matrices corresponding to each of the reported orders based on the risk weights; calculating the assessment value of each of the risk weight matrices, and using it as the assessment result.

[0010] Optionally, in a fifth implementation of the first aspect of the present invention, the step of selecting a target data channel from the data channels corresponding to the data of each dimension based on the evaluation result and updating the order monitoring view includes: if the evaluation result contains abnormal evaluation values, determining abnormal reported orders among the reported orders, and selecting a target data channel corresponding to the abnormal reported orders from the data channels corresponding to the data of each dimension; performing early warning analysis on the dimension data of the target data channel and the logistics update data to obtain early warning information; and updating the early warning information to the order monitoring view through the target data channel.

[0011] Optionally, in a sixth implementation of the first aspect of the present invention, the step of extracting the declaration feature information from the logistics order information includes: identifying the structural information corresponding to the logistics order information, and extracting each text declaration information in the corresponding structural region of the logistics order based on the structural information; classifying each text declaration information according to the declaration type, and using each classified text declaration information as the declaration feature information.

[0012] A second aspect of the present invention provides an air logistics information monitoring device, comprising: an information acquisition module for acquiring logistics order information of goods to be transported; an order generation module for extracting declaration feature information from the logistics order information and generating multiple reporting orders corresponding to the logistics order information according to the declaration feature information and a preset layout type; a view configuration module for extracting attribute information of each dimension of the reported orders and configuring the visualization of the corresponding data channels of the data of each dimension according to the attribute information to obtain an order monitoring view; a risk assessment module for performing a risk assessment on the logistics update data and the reported orders using the analytic hierarchy process when logistics update data is acquired, and obtaining an assessment result; and a view update module for selecting a target data channel from the data channels corresponding to the data of each dimension and updating the order monitoring view according to the assessment result.

[0013] Optionally, in a first implementation of the second aspect of the present invention, the order generation module includes: a layout determination unit, configured to determine the layout logic corresponding to the declaration feature information and the multiple layout regions in which it is located according to a preset layout type; a component construction unit, configured to select a heterogeneous layout structure corresponding to each of the layout regions according to the layout logic, and construct multiple heterogeneous components using the declaration feature information according to each of the heterogeneous layout structures; and a component combination unit, configured to combine each of the heterogeneous components into the corresponding layout regions to obtain multiple reported orders.

[0014] Optionally, in a second implementation of the second aspect of the present invention, the view configuration module includes: a function matching unit, configured to determine the attribute dimension corresponding to each reported order, and match the corresponding attribute calculation function according to the attribute dimension; and an attribute calculation unit, configured to calculate the value of the attribute dimension corresponding to each reported order according to the attribute calculation function, and generate corresponding attribute information based on the calculated value.

[0015] Optionally, in a third implementation of the second aspect of the present invention, the view configuration module further includes: a configuration matching unit, used to determine the functional components connected to the data channels corresponding to the data of each dimension, and to match the configuration methods and multiple configuration attributes corresponding to each functional component; and a configuration configuration unit, used to match the attribute information corresponding to each configuration attribute, and to configure the order monitoring view of the corresponding dimension data according to the matched attribute information using the configuration method.

[0016] Optionally, in a fourth implementation of the second aspect of the present invention, the risk assessment module includes: a factor extraction unit, used to extract multiple risk factors corresponding to the logistics update data and each of the reported orders when logistics update data is obtained; a matrix construction unit, used to calculate the risk weights corresponding to each of the risk factors, and construct risk weight matrices corresponding to each of the reported orders based on the risk weights; and an evaluation calculation unit, used to calculate the evaluation value of each of the risk weight matrices, and use it as the evaluation result.

[0017] Optionally, in a fifth implementation of the second aspect of the present invention, the view update module includes: a channel selection unit, configured to, if the evaluation result contains an abnormal evaluation value, determine the abnormally reported orders among the reported orders, and select the target data channel corresponding to the abnormally reported orders from the data channels corresponding to the data of each dimension; an early warning analysis unit, configured to perform early warning analysis on the dimension data of the target data channel and the logistics update data to obtain early warning information; and a view update unit, configured to update the early warning information to the order monitoring view through the target data channel.

[0018] Optionally, in a sixth implementation of the second aspect of the present invention, the order generation module further includes: a declaration extraction unit, used to identify the structural information corresponding to the logistics order information, and extract each text declaration information of the corresponding structural region in the logistics order according to the structural information; and a feature classification unit, used to classify each text declaration information according to the declaration type, and use each classified text declaration information as declaration feature information.

[0019] A third aspect of the present invention provides an air logistics information monitoring device, comprising: a memory and at least one processor, wherein the memory stores instructions; the at least one processor invokes the instructions in the memory to cause the air logistics information monitoring device to perform the various steps of the above-described air logistics information monitoring method.

[0020] A fourth aspect of the present invention provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the various steps of the above-described air logistics information monitoring method.

[0021] The technical solution provided by this invention involves: acquiring logistics order information for goods to be transported; extracting declaration feature information from the logistics order information; generating multiple reporting orders corresponding to the logistics order information according to the declaration feature information and a preset layout type; extracting attribute information of each dimension of data in each reporting order; visually configuring the corresponding data channels for each dimension of data based on the attribute information to obtain an order monitoring view; when logistics update data is acquired, using the analytic hierarchy process (AHP) to conduct a risk assessment on the logistics update data and the reporting orders to obtain an assessment result; and selecting a target data channel from the data channels corresponding to each dimension of data based on the assessment result to update the order monitoring view. Compared to existing technologies, this application extracts declaration feature information from the acquired logistics order information, generates multiple reporting orders using the declaration feature information, and then visually configures the generated multiple orders to obtain an order monitoring view. Furthermore, when logistics update data is acquired, a risk assessment is conducted on the logistics update data and the reporting orders to obtain an assessment result, and the corresponding order monitoring view is updated using the assessment result. This technology enables the visualization of logistics information for orders, as well as risk assessment and view updates for current order information. This allows for effective monitoring of logistics information in air transport and further improves the management level of air logistics information. Attached Figure Description

[0022] Figure 1 This is a schematic diagram of the first embodiment of the air logistics information monitoring method in this invention;

[0023] Figure 2 This is a schematic diagram of a second embodiment of the air logistics information monitoring method in this invention;

[0024] Figure 3 This is a schematic diagram of a third embodiment of the air logistics information monitoring method in this invention;

[0025] Figure 4 This is a schematic diagram of the fourth embodiment of the air logistics information monitoring method in this invention;

[0026] Figure 5 This is a schematic diagram of the fifth embodiment of the air logistics information monitoring method in this invention;

[0027] Figure 6 This is a schematic diagram of one embodiment of the aviation logistics information monitoring device in this invention;

[0028] Figure 7 This is a schematic diagram of another embodiment of the aviation logistics information monitoring device in this invention;

[0029] Figure 8 This is a schematic diagram of one embodiment of the aviation logistics information monitoring equipment in this invention. Detailed Implementation

[0030] This invention provides a method, apparatus, device, and storage medium for monitoring air logistics information. The method involves acquiring logistics order information for goods to be transported; extracting declaration feature information from the logistics order information; generating multiple reporting orders corresponding to the logistics order information according to the declaration feature information and a preset layout type; extracting attribute information from each dimension of the reported orders; and configuring the corresponding data channels for each dimension of the data based on the attribute information to obtain an order monitoring view. When logistics update data is acquired, a risk assessment is performed on the logistics update data and the reported orders using the analytic hierarchy process (AHP) to obtain an assessment result. Based on the assessment result, a target data channel is selected from the data channels corresponding to each dimension of the data, and the order monitoring view is updated. This achieves effective monitoring and management of air logistics transportation information.

[0031] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” or “having,” and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0032] For ease of understanding, the specific process of the embodiments of the present invention is described below. Please refer to [link / reference]. Figure 1 The first embodiment of the air logistics information monitoring method in this invention includes:

[0033] 101. Obtain logistics order information for goods to be transported;

[0034] It is understood that the executing entity of this invention can be an aviation logistics information monitoring device, a terminal, or a server; no specific limitation is made here. This embodiment of the invention will be described using a server as an example.

[0035] The embodiments of this application can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence (AI) refers to the theories, methods, technologies, and application systems that use digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results.

[0036] Foundational technologies for artificial intelligence generally include sensors, dedicated AI chips, cloud computing, distributed storage, big data processing, operating / interactive systems, and mechatronics. AI software technologies mainly encompass computer vision, robotics, biometrics, speech processing, natural language processing, and machine learning / deep learning.

[0037] In this embodiment, the logistics order information refers to the basic logistics order information generated by encapsulating the current collection of transport cargo order information to be monitored, such as basic information of the transporter, transport cargo information, transport origin information, waybill number information, etc.

[0038] In practical applications, the process involves obtaining information on goods to be transported, determining the corresponding mode of transport within that information, filtering for air transport information, obtaining information on goods to be transported via air transport, extracting multiple transport information from the goods to be transported information, generating corresponding order numbers based on the transport information using a pre-set waybill number generation strategy, and encapsulating the corresponding logistics order information based on the transport information and order number information.

[0039] 102. Extract the declaration feature information from the logistics order information, and generate multiple reporting orders corresponding to the logistics order information according to the preset layout type based on the declaration feature information;

[0040] In this embodiment, the declaration feature information refers to the order composition feature information required to generate the reported order. The order composition feature information may include the order number, the basic information of the waybill holder (name, gender, contact number, etc.), the origin of the waybill, etc. The layout type refers to the templates corresponding to various reported orders. The templates may include the sender copy order template, the sender copy retainer copy order template, the return receipt order template, the return receipt retainer copy order template, the handover form reporting template, the master order reporting template, the abnormality reporting template, the prohibited items reporting template, etc.

[0041] In practical applications, the system identifies the corresponding structural information within the acquired logistics order information. Based on this structural information, it extracts various textual declaration information (such as waybill number, waybill holder basic information, waybill origin address information, etc.) from the corresponding structural areas of the logistics order information. Then, it categorizes each textual declaration information according to the required information for a pre-defined declaration type, and uses these categorized textual declaration information as the required declaration feature information. Next, according to a pre-defined layout type, it determines the layout logic and multiple layout areas corresponding to the declaration feature information. Based on the layout logic, it selects the heterogeneous layout structure corresponding to each layout area, and constructs multiple heterogeneous components using the declaration feature information based on each heterogeneous layout structure. Finally, it combines each heterogeneous component into its corresponding layout area to obtain multiple reported orders.

[0042] 103. Extract the attribute information of each dimension of the reported order data, and based on the attribute information, perform visualization configuration of the corresponding data channels for each dimension of data to obtain the order monitoring view;

[0043] In this embodiment, the attribute information refers to the attribute information required for different dimensions. For example, the shipment reporting dimension requires the sender's and recipient's names, contact numbers, and cargo information, while the handover list dimension includes sender and recipient address information, logistics and transportation information, and transportation point information. The data for each dimension refers to the processing attribute data required for each processing dimension. The visualization configuration refers to rendering the corresponding dimension data according to front-end display technology, and displaying the processed data of different dimensions according to the display template to obtain the corresponding order monitoring view.

[0044] In practical applications, based on the multiple reported orders obtained from the above processing, the attribute dimensions corresponding to each reported order are determined, i.e., the dimensional information it contains, and the corresponding attribute calculation function is matched according to the attribute dimensions; then, according to the attribute calculation function, the value of the attribute dimension corresponding to each reported order is calculated, and the corresponding attribute information is generated based on the calculated value; then, the functional components connected to the data channels corresponding to each dimension data are determined, and the configuration methods and multiple configuration attributes corresponding to each functional component are matched; thus, the attribute information corresponding to each configuration attribute is matched, and according to the matched attribute information, the order monitoring view of the corresponding dimension data is configured using the configuration method.

[0045] 104. When logistics update data is obtained, the Analytic Hierarchy Process (AHP) is used to conduct a risk assessment on the logistics update data and reported orders to obtain the assessment results;

[0046] In this embodiment, the logistics update data refers to the updated logistics information of the goods to be transported. This can be the real-time logistics information of the goods to be transported, or the logistics information of the transfer processing at various stations, etc. The analytic hierarchy process (AHP) here refers to a systematic and hierarchical analysis method that combines qualitative and quantitative approaches. Based on the nature of the problem to be addressed and the overall goal to be achieved, the problem is decomposed into different components. The components are then grouped and combined at different levels according to their interrelationships and hierarchical relationships to form a multi-level analytical structure model. Ultimately, the problem is reduced to determining the relative importance weight or relative superiority / inferiority of the lowest level (solutions, measures, etc. for decision-making) relative to the highest level (overall goal), thereby obtaining the corresponding risk assessment results.

[0047] In practical applications, when the logistics update data of the goods to be transported is obtained, the pre-set analytic hierarchy process is used to extract the logistics update data and multiple risk factor data corresponding to each reported order; then the risk weights corresponding to each risk factor data are calculated, and risk weight matrices corresponding to each reported order are constructed according to the risk weights; then the evaluation value of each risk weight matrix is ​​calculated, and the calculated risk evaluation value is used as the evaluation result.

[0048] 105. Based on the evaluation results, select the target data channel from the data channels corresponding to each dimension of data and update the order monitoring view.

[0049] In this embodiment, the data channel refers to the corresponding transmission channel used to transmit the data of each dimension to the corresponding view area after processing.

[0050] In practical applications, based on the risk assessment results obtained from the above-mentioned risk assessment of logistics update data and reported orders, if the assessment results contain abnormal assessment values, abnormal reported orders are identified among the reported orders, and the target data channel corresponding to the abnormal reported orders is selected from the data channels corresponding to each dimension of data; then, early warning analysis is performed on the dimension data and logistics update data corresponding to the target data channel, and the early warning level information corresponding to the current assessment results is analyzed to obtain early warning information; then, the early warning information is updated to the order monitoring view through the target data channel.

[0051] In this embodiment of the invention, logistics order information of goods to be transported is obtained; declaration feature information is extracted from the logistics order information, and multiple reporting orders corresponding to the logistics order information are generated according to the declaration feature information and a preset layout type; attribute information of each dimension of data of each reporting order is extracted, and the corresponding data channel of each dimension of data is visualized and configured according to the attribute information to obtain an order monitoring view; when logistics update data is obtained, the analytic hierarchy process (AHP) is used to conduct a risk assessment on the logistics update data and the reporting orders to obtain an assessment result; based on the assessment result, a target data channel is selected from the data channels corresponding to each dimension of data to update the order monitoring view. Compared with the prior art, this application extracts declaration feature information from the obtained logistics order information, generates multiple reporting orders using the declaration feature information, visualizes and configures the generated multiple orders to obtain an order monitoring view, and conducts a risk assessment on the logistics update data and the reporting orders when logistics update data is obtained to obtain an assessment result, and updates the corresponding order monitoring view using the assessment result. This technology enables the visualization of logistics information for orders, as well as risk assessment and view updates for current order information. This allows for effective monitoring of logistics information in air transport and further improves the management level of air logistics information.

[0052] Please see Figure 2 The second embodiment of the air logistics information monitoring method in this invention includes:

[0053] 201. Obtain logistics order information for goods to be transported;

[0054] 202. Identify the structural information corresponding to the logistics order information, and extract the text declaration information of each corresponding structural area in the logistics order based on the structural information;

[0055] In this embodiment, the structural information refers to the order structure corresponding to the logistics order information. For example, after the target user fills in the online or offline cargo transportation request form provided by the air logistics provider, it is uploaded to the corresponding logistics order database. Then, the required information can be extracted and processed according to the structural information corresponding to the cargo waybill request form. The text declaration information refers to the target user and the corresponding generated declaration information related to logistics transportation in the cargo transportation request form.

[0056] In practical applications, based on the logistics order information of the goods to be transported, the structural information of the relevant record tables or documents in the logistics order information is identified. Then, based on the identified structural information, the required text declaration information in the logistics order information is extracted, such as the sender's and recipient's names, contact numbers, and logistics transportation origin and destination information.

[0057] 203. Classify each text declaration information according to the declaration type, and use each classified text declaration information as declaration feature information;

[0058] In this embodiment, the declaration type refers to the type of corresponding data required for various reported orders, such as recipient information set, sender information set, and goods information set.

[0059] In practical applications, based on the extracted text declaration information, each text declaration information is classified according to a preset declaration accumulation, and then the classified text declaration information is used as declaration feature information.

[0060] 204. According to the preset layout type, determine the layout logic corresponding to the declared feature information and the multiple layout areas in which it is located;

[0061] In this embodiment, the layout type refers to filling each declaration feature information into the corresponding reporting order and the corresponding layout area. For example, the sender's copy order needs sender information and goods to be transported information in the corresponding layout area. The layout logic refers to generating the corresponding order according to the corresponding order generation method.

[0062] In practical applications, the layout logic corresponding to the above-mentioned declaration feature information is determined according to the preset layout type, and the layout processing according to the layout logic consists of multiple layout areas where each logical step is located.

[0063] 205. Based on the layout logic, select the heterogeneous layout structure corresponding to each layout area, and construct multiple heterogeneous components using the declaration feature information based on each heterogeneous layout structure.

[0064] In this embodiment, the heterogeneous layout structure refers to the use of a heterogeneous approach and multi-threaded layout when generating orders according to layout logic, thereby quickly completing the order layout.

[0065] In practical applications, based on the layout logic determined above, heterogeneous layout structures that can complete heterogeneous multi-threaded processing in each layout area are selected. Then, based on the heterogeneous layout structures, multiple heterogeneous components are constructed at the corresponding structural positions of each heterogeneous layout structure using the aforementioned declaration feature information.

[0066] 206. Assemble each heterogeneous component into its corresponding layout area to obtain multiple reported orders;

[0067] In this embodiment, the multiple heterogeneous components constructed above are combined into the corresponding layout areas, and then the layout areas that have been completed generate multiple complete reporting orders, such as shipment reporting, handover list, and prohibited items reporting. The page jumps to the corresponding function interface. For example, if prohibited items reporting is selected, the corresponding reporting order needs to be generated by generating information such as waybill number, prohibited item type, origin, destination, prohibited item description, and photo.

[0068] 207. Extract the attribute information of each dimension of the reported order data, and based on the attribute information, perform visualization configuration of the corresponding data channels for each dimension of data to obtain the order monitoring view;

[0069] 208. When logistics update data is obtained, the Analytic Hierarchy Process (AHP) is used to conduct a risk assessment on the logistics update data and the reported orders to obtain the assessment results;

[0070] 209. Based on the evaluation results, select the target data channel from the data channels corresponding to each dimension of data and update the order monitoring view.

[0071] In this embodiment of the invention, the structural information corresponding to the logistics order information is identified, and based on the structural information, each text declaration information in the corresponding structural area of ​​the logistics order is extracted; each text declaration information is classified according to the declaration type, and the classified text declaration information is used as declaration feature information; according to a preset layout type, the layout logic corresponding to the declaration feature information and the multiple layout areas in which it is located are determined; according to the layout logic, the heterogeneous layout structure corresponding to each layout area is selected, and multiple heterogeneous components are constructed using the declaration feature information based on each heterogeneous layout structure; each heterogeneous component is combined into its corresponding layout area to obtain multiple reporting orders. Compared with the prior art, this application extracts each text declaration information in the structural information of the obtained logistics order information, classifies each text declaration information by declaration type to obtain declaration feature information, and then processes the declaration feature information according to the corresponding layout logic and heterogeneous layout structure to obtain multiple reporting orders. This achieves the extraction of the corresponding logistics feature information and multi-threaded heterogeneous layout according to the corresponding layout mechanism and layout logic, thereby enabling the rapid generation of reporting orders that meet the requirements.

[0072] Please see Figure 3 The third embodiment of the air logistics information monitoring method in this invention includes:

[0073] 301. Obtain logistics order information for goods to be transported;

[0074] 302. Extract the declaration feature information from the logistics order information, and generate multiple reporting orders corresponding to the logistics order information according to the preset layout type based on the declaration feature information;

[0075] 303. Determine the attribute dimensions corresponding to each reported order, and match the corresponding attribute calculation function according to the attribute dimensions;

[0076] In this embodiment, the attribute calculation function refers to the corresponding calculation function that performs statistical analysis on various attributes and determines the type of each attribute.

[0077] In practical applications, based on the multiple reported orders obtained from the above processing, the attribute dimensions corresponding to the order data in each reported order are determined, and then the corresponding attribute calculation function is matched according to each matched attribute dimension.

[0078] 304. Calculate the value of the corresponding attribute dimension for each reported order according to the attribute calculation function, and generate the corresponding attribute information based on the calculated value;

[0079] In this embodiment, the numerical values ​​of the corresponding attribute dimensions of each reported order are calculated according to the attribute calculation function described above. Based on the calculated numerical values, the obtained numerical values ​​and the corresponding attribute information are encapsulated and processed to generate the corresponding attribute information.

[0080] 305. Determine the functional components that connect to the data channels corresponding to each dimension of data, and match the configuration methods and multiple configuration attributes corresponding to each functional component;

[0081] In this embodiment, the functional components refer to the components that complete the corresponding page view display function; the configuration methods refer to the processing methods required for view display, which consist of frame conversion functions, configuration label display functions, configuration parameter saving functions, and rendering functions; and the configuration attributes refer to the attribute requirements required to complete the corresponding page attribute layout processing, such as rectangular page parameters, node numbers, method parameters, and component titles.

[0082] In practical applications, based on the above attribute information, the functional components required to connect the data channels corresponding to the above-mentioned data dimensions are determined, and then the configuration methods and multiple configuration attributes corresponding to each functional component are matched.

[0083] 306. Match the attribute information corresponding to each configured attribute, and configure the order monitoring view of the corresponding dimension data according to the matched attribute information using the configuration method;

[0084] In this embodiment, based on the configuration method and configuration attributes obtained from the above processing, the attribute information corresponding to each configuration attribute is matched, and then the corresponding dimension data is configured using the corresponding configuration method based on the matched attribute information to generate an order monitoring view.

[0085] 307. When logistics update data is obtained, the Analytic Hierarchy Process (AHP) is used to conduct a risk assessment on the logistics update data and reported orders to obtain the assessment results;

[0086] 308. Based on the evaluation results, select the target data channel from the data channels corresponding to each dimension of data and update the order monitoring view.

[0087] In this embodiment of the invention, the attribute dimensions corresponding to each reported order are determined, and corresponding attribute calculation functions are matched according to the attribute dimensions. The numerical values ​​of the attribute dimensions corresponding to each reported order are calculated according to the attribute calculation functions, and corresponding attribute information is generated based on the calculated values. Functional components connected to the data channels corresponding to each dimension are determined, and configuration methods and multiple configurable attributes corresponding to each functional component are matched. Attribute information corresponding to each configurable attribute is matched, and an order monitoring view for the corresponding dimension data is configured using the configuration method based on the matched attribute information. Compared to existing technologies, this application determines the attribute dimensions of reported orders and their corresponding attribute calculation functions, then uses these attribute calculation functions to calculate information in the reported orders, generating attribute information. Furthermore, by matching corresponding configurable attributes and configuration methods, an order monitoring view is configured for the attribute information. This enables attribute calculation of information in multiple reported orders according to multiple data dimensions, and the corresponding configurable display of the attribute calculation results, generating an intuitive waybill monitoring view, facilitating the supervision of logistics information by relevant personnel.

[0088] Please see Figure 4 The fourth embodiment of the air logistics information monitoring method in this invention includes:

[0089] 401. Obtain logistics order information for goods to be transported;

[0090] 402. Extract the declaration feature information from the logistics order information, and generate multiple reporting orders corresponding to the logistics order information according to the preset layout type based on the declaration feature information;

[0091] 403. Extract the attribute information of each dimension of the reported order data, and based on the attribute information, perform visualization configuration of the corresponding data channels for each dimension of data to obtain the order monitoring view;

[0092] 404. When logistics update data is obtained, extract the logistics update data and multiple risk factors corresponding to each reported order;

[0093] In this embodiment, the risk factor refers to the assessment factors used to measure whether there is a risk in the logistics information of transported goods, such as efficiency, quality, cost, service level, and trust.

[0094] In practical applications, when logistics update data is obtained, multiple risk factors corresponding to the logistics update data and the aforementioned reported orders are extracted.

[0095] 405. Calculate the risk weights corresponding to each risk factor, and construct the risk weight matrix for each reported order based on the risk weights.

[0096] In this embodiment, the risk weight refers to the weight value calculated according to the calculation function corresponding to each risk factor.

[0097] In practical applications, the risk calculation function corresponding to each risk factor is obtained, and then the risk weight corresponding to each risk factor is calculated. Based on the risk weights, a risk weight matrix is ​​constructed for each reported order. This involves constructing judgment matrices for risk assessment dimensions and risk factors, calculating the eigenvector corresponding to the largest eigenvalue of each judgment matrix, and performing normalization and consistency checks. If the judgment matrix passes the consistency check, the process is repeated; if it fails, the eigenvector is used as the ranking vector for the network risk factors, resulting in a ranking vector relative to other risk assessment factors. The ranking vectors representing the mutual influence of all network layer risk assessment factors are combined to obtain an unweighted supermatrix. The judgment matrix is ​​multiplied by the unweighted supermatrix to obtain the risk weight matrix.

[0098] 406. Calculate the evaluation value of each risk weight matrix and use it as the evaluation result;

[0099] In this embodiment, to ensure the interdependence and feedback relationships among risk assessment factors, the weighted supermatrix is ​​stabilized, and the final evaluation value of each risk weight matrix is ​​calculated and used as the evaluation result.

[0100] 407. Based on the evaluation results, select the target data channel from the data channels corresponding to each dimension of data and update the order monitoring view.

[0101] In this embodiment of the invention, when logistics update data is obtained, multiple risk factors corresponding to the logistics update data and each reported order are extracted; the risk weights corresponding to each risk factor are calculated, and risk weight matrices corresponding to each reported order are constructed based on the risk weights; the evaluation value of each risk weight matrix is ​​calculated and used as the evaluation result. Compared with the prior art, this application extracts multiple risk factors corresponding to the logistics update data and each reported order, constructs risk weight matrices using the risk factors, and then calculates the evaluation value of the risk weight matrices to obtain the evaluation result. It uses the analytic hierarchy process (AHP) to perform multi-level factor matrix evaluation calculations on relevant data, thereby achieving segmented evaluation of relevant data. This facilitates timely detection of problems in air logistics transportation by relevant personnel, enabling timely risk supervision and early warning.

[0102] Please see Figure 5 The fifth embodiment of the air logistics information monitoring method in this invention includes:

[0103] 501. Obtain logistics order information for goods to be transported;

[0104] 502. Extract the declaration feature information from the logistics order information, and generate multiple reporting orders corresponding to the logistics order information according to the preset layout type based on the declaration feature information;

[0105] 503. Extract the attribute information of each dimension of the reported order data, and based on the attribute information, perform visualization configuration of the corresponding data channels for each dimension of data to obtain the order monitoring view;

[0106] 504. When logistics update data is obtained, the Analytic Hierarchy Process (AHP) is used to conduct a risk assessment on the logistics update data and reported orders to obtain the assessment results;

[0107] 505. If the evaluation results contain abnormal evaluation values, identify the abnormal reported orders among the reported orders, and select the target data channel corresponding to the abnormal reported orders from the data channels corresponding to each dimension of data.

[0108] In this embodiment, after risk assessment of the above-mentioned reported orders, if the assessment results contain abnormal assessment values, the reported orders corresponding to the abnormal assessment values ​​are determined as abnormal reported orders, and the target data channel corresponding to the above-mentioned abnormal reported orders is selected from the data channels corresponding to the data of each dimension.

[0109] 506. Conduct early warning analysis on the dimensional data and logistics update data of the target data channel to obtain early warning information;

[0110] In this embodiment, based on the evaluation results corresponding to the abnormal reported orders processed above, an early warning analysis is performed on the dimensional data of the target data channel and the aforementioned logistics update data. The analysis determines which pre-set early warning level the current abnormal evaluation result meets, and then generates corresponding early warning information based on the corresponding early warning level to remind relevant personnel to make protective and safety preparations.

[0111] 507. Update the warning information to the order monitoring view through the target data channel.

[0112] In this embodiment, the warning information obtained from the above processing is used to update the previous order monitoring view through the target data channel, and corresponding warning information and abnormal information are added. The warning information can be sent to the device corresponding to the preset contact method to realize the warning notification.

[0113] In this embodiment of the invention, if the evaluation result contains abnormal evaluation values, abnormal reported orders are identified among the reported orders, and a target data channel corresponding to the abnormal reported orders is selected from the data channels corresponding to each dimension of data. Early warning analysis is performed on the dimensional data and logistics update data of the target data channel to obtain early warning information. The early warning information is then updated to the order monitoring view through the target data channel. Compared to existing technologies, this application, by performing real-time analysis of abnormal data and generating corresponding early warning information to update the corresponding order monitoring view, achieves monitoring and early warning of cargo transportation information, protects the safety of transported goods, and provides rapid alerts for related risks.

[0114] The above describes the air logistics information monitoring method in the embodiments of the present invention. The following describes the air logistics information monitoring device in the embodiments of the present invention. Please refer to [link / reference]. Figure 6 One embodiment of the air logistics information monitoring device in this invention includes:

[0115] The information acquisition module 601 is used to acquire logistics order information of goods to be transported;

[0116] The order generation module 602 is used to extract the declaration feature information from the logistics order information, and generate multiple reporting orders corresponding to the logistics order information according to the declaration feature information and a preset layout type.

[0117] The view configuration module 603 is used to extract attribute information of each dimension of the reported order data, and to perform visualization configuration of the corresponding data channels for each dimension of the data according to the attribute information to obtain the order monitoring view;

[0118] The risk assessment module 604 is used to perform a risk assessment on the logistics update data and the reported order using the analytic hierarchy process when logistics update data is obtained, and to obtain the assessment result.

[0119] The view update module 605 is used to select a target data channel from the data channels corresponding to the data of each dimension based on the evaluation results, and update the order monitoring view.

[0120] In this embodiment of the invention, logistics order information of goods to be transported is obtained; declaration feature information is extracted from the logistics order information, and multiple reporting orders corresponding to the logistics order information are generated according to the declaration feature information and a preset layout type; attribute information of each dimension of data of each reporting order is extracted, and the corresponding data channel of each dimension of data is visualized and configured according to the attribute information to obtain an order monitoring view; when logistics update data is obtained, the analytic hierarchy process (AHP) is used to conduct a risk assessment on the logistics update data and the reporting orders to obtain an assessment result; based on the assessment result, a target data channel is selected from the data channels corresponding to each dimension of data to update the order monitoring view. Compared with the prior art, this application extracts declaration feature information from the obtained logistics order information, generates multiple reporting orders using the declaration feature information, visualizes and configures the generated multiple orders to obtain an order monitoring view, and conducts a risk assessment on the logistics update data and the reporting orders when logistics update data is obtained to obtain an assessment result, and updates the corresponding order monitoring view using the assessment result. This technology enables the visualization of logistics information for orders, as well as risk assessment and view updates for current order information. This allows for effective monitoring of logistics information in air transport and further improves the management level of air logistics information.

[0121] Please see Figure 7 Another embodiment of the aviation logistics information monitoring device in this invention includes:

[0122] The information acquisition module 601 is used to acquire logistics order information of goods to be transported;

[0123] The order generation module 602 is used to extract the declaration feature information from the logistics order information, and generate multiple reporting orders corresponding to the logistics order information according to the declaration feature information and a preset layout type.

[0124] The view configuration module 603 is used to extract attribute information of each dimension of the reported order data, and to perform visualization configuration of the corresponding data channels for each dimension of the data according to the attribute information to obtain the order monitoring view;

[0125] The risk assessment module 604 is used to perform a risk assessment on the logistics update data and the reported order using the analytic hierarchy process when logistics update data is obtained, and to obtain the assessment result.

[0126] The view update module 605 is used to select a target data channel from the data channels corresponding to the data of each dimension based on the evaluation results, and update the order monitoring view.

[0127] Furthermore, the order generation module 602 includes:

[0128] The declaration extraction unit 6021 is used to identify the structural information corresponding to the logistics order information, and extract each text declaration information in the corresponding structural area of ​​the logistics order according to the structural information; the feature classification unit 6022 is used to classify each text declaration information according to the declaration type, and use each classified text declaration information as declaration feature information.

[0129] Furthermore, the order generation module 602 also includes:

[0130] The layout determination unit 6023 is used to determine the layout logic corresponding to the declaration feature information and the multiple layout regions in which it is located according to the preset layout type; the component construction unit 6024 is used to select the heterogeneous layout structure corresponding to each layout region according to the layout logic, and construct multiple heterogeneous components using the declaration feature information according to each heterogeneous layout structure; the component combination unit 6025 is used to combine each heterogeneous component into the corresponding layout regions to obtain multiple reporting orders.

[0131] Furthermore, the view configuration module 603 includes:

[0132] The function matching unit 6031 is used to determine the attribute dimension corresponding to each of the reported orders and match the corresponding attribute calculation function according to the attribute dimension; the attribute calculation unit 6032 is used to calculate the value of the attribute dimension corresponding to each of the reported orders according to the attribute calculation function and generate the corresponding attribute information based on the calculated value.

[0133] Furthermore, the view configuration module 603 also includes:

[0134] The configuration matching unit 6033 is used to determine the functional components connected to the data channels corresponding to the data of each dimension, and to match the configuration methods and multiple configuration attributes corresponding to each functional component; the configuration unit 6034 is used to match the attribute information corresponding to each configuration attribute, and to configure the order monitoring view of the corresponding dimension data according to the matched attribute information using the configuration method.

[0135] Furthermore, the risk assessment module 604 includes:

[0136] The factor extraction unit 6041 is used to extract multiple risk factors corresponding to the logistics update data and each reported order when the logistics update data is obtained; the matrix construction unit 6042 is used to calculate the risk weight corresponding to each risk factor, and construct the risk weight matrix corresponding to each reported order according to the risk weight; the evaluation calculation unit 6043 is used to calculate the evaluation value of each risk weight matrix and use it as the evaluation result.

[0137] Furthermore, the view update module 605 includes:

[0138] The channel selection unit 6051 is used to determine the abnormal reporting orders among the reported orders if the evaluation result contains abnormal evaluation values, and select the target data channel corresponding to the abnormal reporting order from the data channels corresponding to the data of each dimension; the early warning analysis unit 6052 is used to perform early warning analysis on the dimension data of the target data channel and the logistics update data to obtain early warning information; the view update unit 6053 is used to update the early warning information to the order monitoring view through the target data channel.

[0139] In this embodiment of the invention, by extracting declaration feature information from the acquired logistics order information and generating multiple reporting orders according to a preset layout type, the attribute information of each reporting order is extracted and visualized to obtain an order monitoring view. Then, when logistics update data is acquired, a risk assessment is performed on each reporting order and the logistics update data to obtain the assessment result. Based on the assessment result, corresponding early warning information is generated and the aforementioned order monitoring view is updated. Compared with the prior art, this application realizes the generation of corresponding reporting orders using logistics order information and the visualization configuration processing of these orders. Furthermore, when acquiring update data, anomaly analysis is performed and the corresponding view is updated, achieving multi-faceted monitoring and early warning processing of air logistics information, thus improving cargo safety.

[0140] above Figure 6 and Figure 7 The aviation logistics information monitoring device in this embodiment of the invention will be described in detail from the perspective of modular functional entities. The aviation logistics information monitoring equipment in this embodiment of the invention will be described in detail from the perspective of hardware processing.

[0141] Figure 8This is a schematic diagram of the structure of an aviation logistics information monitoring device 800 provided in an embodiment of the present invention. The aviation logistics information monitoring device 800 can vary significantly due to different configurations or performance. It may include one or more central processing units (CPUs) 810 (e.g., one or more processors) and a memory 820, and one or more storage media 830 (e.g., one or more mass storage devices) for storing application programs 833 or data 832. The memory 820 and storage media 830 can be temporary or persistent storage. The program stored in the storage media 830 may include one or more modules (not shown in the diagram), each module may include a series of instruction operations on the aviation logistics information monitoring device 800. Furthermore, the processor 810 may be configured to communicate with the storage media 830 and execute the series of instruction operations in the storage media 830 on the aviation logistics information monitoring device 800.

[0142] The aviation logistics information monitoring equipment 800 may also include one or more power supplies 840, one or more wired or wireless network interfaces 850, one or more input / output interfaces 860, and / or one or more operating systems 831, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, etc. Those skilled in the art will understand that... Figure 8 The illustrated structure of the air logistics information monitoring equipment does not constitute a limitation on the air logistics information monitoring equipment. It may include more or fewer components than illustrated, or combine certain components, or have different component arrangements.

[0143] The present invention also provides an aviation logistics information monitoring device, wherein the computer device includes a memory and a processor, the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the processor performs each step of the aviation logistics information monitoring method in the above embodiments.

[0144] The present invention also provides a computer-readable storage medium, which can be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium, wherein the computer-readable storage medium stores instructions that, when the instructions are executed on a computer, cause the computer to perform the various steps of the aviation logistics information monitoring method.

[0145] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0146] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0147] This application can be used in a wide variety of general-purpose or special-purpose computer system environments or configurations. Examples include: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, and distributed computing environments including any of the above systems or devices. This application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform specific tasks or implement specific abstract data types. This application can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0148] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for monitoring air logistics information, characterized in that, The air logistics information monitoring method includes: Obtain logistics order information for goods to be shipped; Extract the declaration feature information from the logistics order information, and generate multiple reporting orders corresponding to the logistics order information according to the declaration feature information and a preset layout type. Extract the attribute information of each dimension of the reported order data, and based on the attribute information, perform visualization configuration of the corresponding data channels for each dimension of the data to obtain the order monitoring view; When logistics update data is obtained, the Analytic Hierarchy Process (AHP) is used to conduct a risk assessment on the logistics update data and the reported orders to obtain the assessment results. Based on the evaluation results, a target data channel is selected from the data channels corresponding to the data of each dimension, and the order monitoring view is updated. The step of generating multiple reporting orders corresponding to the logistics order information according to the declared feature information and a preset layout type includes: determining the layout logic and multiple layout regions corresponding to the declared feature information according to the preset layout type; selecting the heterogeneous layout structure corresponding to each layout region according to the layout logic, and constructing multiple heterogeneous components using the declared feature information according to each heterogeneous layout structure; and combining each heterogeneous component into its corresponding layout region to obtain multiple reporting orders. The step of visually configuring the corresponding data channels for the data of each dimension based on the attribute information to obtain the order monitoring view includes: determining the functional components connected to the corresponding data channels of the data of each dimension, and matching the configuration methods and multiple configuration attributes corresponding to each functional component; matching the attribute information corresponding to each configuration attribute, and configuring the order monitoring view of the corresponding dimension data using the configuration method based on the matched attribute information.

2. The air logistics information monitoring method according to claim 1, characterized in that, The extraction of attribute information for each dimension of the reported order data includes: Determine the attribute dimensions corresponding to each reported order, and match the corresponding attribute calculation function according to the attribute dimensions; According to the attribute calculation function, the value of the attribute dimension corresponding to each reported order is calculated, and the corresponding attribute information is generated based on the calculated value.

3. The air logistics information monitoring method according to claim 1, characterized in that, When logistics update data is obtained, the Analytic Hierarchy Process (AHP) is used to conduct a risk assessment on the logistics update data and the reported orders to obtain the assessment results, including: When logistics update data is obtained, extract the logistics update data and multiple risk factors corresponding to each reported order; Calculate the risk weight corresponding to each of the risk factors, and construct the risk weight matrix corresponding to each of the reported orders based on the risk weights; Calculate the evaluation value of each of the aforementioned risk weight matrices and use it as the evaluation result.

4. The air logistics information monitoring method according to claim 3, characterized in that, The step of selecting a target data channel from the data channels corresponding to the data of each dimension based on the evaluation results and updating the order monitoring view includes: If the evaluation result contains abnormal evaluation values, identify the abnormal reported orders among the reported orders, and select the target data channel corresponding to the abnormal reported orders from the data channels corresponding to the data of each dimension. Early warning information is obtained by performing early warning analysis on the dimensional data of the target data channel and the logistics update data; The warning information is updated to the order monitoring view through the target data channel.

5. The air logistics information monitoring method according to claim 1, characterized in that, The extraction of declaration feature information from the logistics order information includes: Identify the structural information corresponding to the logistics order information, and extract each text declaration information of the corresponding structural area in the logistics order based on the structural information; Each text declaration is classified according to its declaration type, and the classified text declarations are used as declaration feature information.

6. An air logistics information monitoring device, characterized in that, The air logistics information monitoring device includes: The information acquisition module is used to acquire logistics order information for goods to be transported. The order generation module is used to extract the declaration feature information from the logistics order information, and generate multiple reporting orders corresponding to the logistics order information according to the declaration feature information and a preset layout type. The view configuration module is used to extract attribute information of each dimension of the reported order data, and to perform visualization configuration of the corresponding data channels for each dimension of the data based on the attribute information to obtain the order monitoring view; The risk assessment module is used to perform a risk assessment on the logistics update data and the reported order using the analytic hierarchy process when logistics update data is obtained, and to obtain the assessment result. The view update module is used to select a target data channel from the data channels corresponding to the data of each dimension based on the evaluation results, and update the order monitoring view; The step of generating multiple reporting orders corresponding to the logistics order information according to the declared feature information and a preset layout type includes: determining the layout logic and multiple layout regions corresponding to the declared feature information according to the preset layout type; selecting the heterogeneous layout structure corresponding to each layout region according to the layout logic, and constructing multiple heterogeneous components using the declared feature information according to each heterogeneous layout structure; and combining each heterogeneous component into its corresponding layout region to obtain multiple reporting orders. The step of visually configuring the corresponding data channels for the data of each dimension based on the attribute information to obtain the order monitoring view includes: determining the functional components connected to the corresponding data channels of the data of each dimension, and matching the configuration methods and multiple configuration attributes corresponding to each functional component; matching the attribute information corresponding to each configuration attribute, and configuring the order monitoring view of the corresponding dimension data using the configuration method based on the matched attribute information.

7. An air logistics information monitoring device, characterized in that, The aviation logistics information monitoring equipment includes: a memory and at least one processor, wherein the memory stores instructions; The at least one processor invokes the instructions in the memory to cause the aviation logistics information monitoring device to perform the steps of the aviation logistics information monitoring method as described in any one of claims 1-5.

8. A computer-readable storage medium storing instructions thereon, characterized in that, When the instructions are executed by the processor, they implement the various steps of the aviation logistics information monitoring method as described in any one of claims 1-5.

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