Security check information monitoring method, device and system

Abstract

The application provides a security check information supervision method, device and system. The security check information supervision method comprises the following steps: obtaining cargo security check data of at least one terminal, wherein the cargo security check data comprises cargo data, cargo transport certificate data and security check image data; performing data analysis on the cargo security check data to obtain structured data; and displaying the structured data to perform security check information supervision. In this way, the cargo security check data of at least one terminal can be comprehensively processed, and overall supervision can be realized.

Description

Technical Field

[0001] This invention relates to the field of security inspection and supervision technology, and in particular to a method, device and system for security inspection information supervision. Background Technology

[0002] Currently, air cargo involves multiple terminals, and the entire air cargo business process involves a large amount of security information. However, because each terminal is independent, cooperation between terminals is difficult.

[0003] For regulatory agencies, the lack of interconnected security information across different airports hinders effective oversight of security procedures across all terminals. Therefore, the lack of interoperability of security information in air cargo management within related technologies makes coordinated oversight quite difficult. Summary of the Invention

[0004] This application provides a method, device, and system for monitoring security inspection information. The method can comprehensively process cargo security inspection data from at least one airport to achieve unified monitoring.

[0005] This application provides a method for monitoring security inspection information, the method comprising:

[0006] Acquire cargo security inspection data from at least one airport, the cargo security inspection data including cargo data, cargo documentation data, and security inspection image data;

[0007] Data analysis of the aforementioned cargo security inspection data yields structured data;

[0008] The structured data is displayed for security check information monitoring.

[0009] Furthermore, the data analysis of the cargo security inspection data to obtain structured data includes:

[0010] Based on the cargo data, calculate the number of goods received at the cargo station within the predetermined time period;

[0011] The inspection data within the predetermined time period is statistically analyzed to obtain the inspection data to be displayed, which includes the number and weight of the inspected goods.

[0012] The number of goods received at the cargo station that have not undergone security checks is counted and used as uninspected data to be displayed. The uninspected data to be displayed includes the number of uninspected goods.

[0013] The presentation of the structured data for security check information monitoring includes:

[0014] Display the data that has passed inspection and the data that has not yet been inspected.

[0015] Furthermore, after calculating the number of goods received at the cargo station within a predetermined time period based on the cargo data from the cargo security inspection data, the method further includes:

[0016] By using the quantity of goods received at the freight station, historical security check rates, and the current number of open security check lanes, it can be determined whether the transportation capacity of the current security check lanes can meet the delivery volume within a preset future time period.

[0017] If the current transport capacity of the security checkpoint is insufficient to meet the delivery volume within the preset future time period, a reminder will be issued to open the security checkpoint.

[0018] Furthermore, the step of statistically analyzing the inspection data within the predetermined time period to obtain the inspection data to be displayed includes: statistically analyzing the inspection data to be displayed according to predefined dimensions, wherein the predefined dimensions include one or more of product agents, carriers, flights, routes, and cargo stations; the step of statistically analyzing the number of goods received by the cargo station that have not undergone security checks as the uninspected data to be displayed includes: statistically analyzing the number of goods received by the cargo station that have not undergone security checks according to the predefined dimensions; the step of displaying the inspection data to be displayed and the uninspected data to be displayed includes: displaying the inspection data to be displayed and the uninspected data to be displayed according to the predefined dimensions.

[0019] And / or,

[0020] After obtaining the inspection data to be displayed by statistically analyzing the inspection data within the predetermined time period, the method further includes: if it is determined that the inspection data to be displayed contains abnormal goods, statistically analyzing the abnormal goods according to the predetermined time period to obtain abnormal goods information, the abnormal goods information including the total number of abnormal goods and the attributes of the abnormal goods; the display of the structured data further includes: displaying the abnormal goods in the predetermined time period by year and / or month-on-month comparison.

[0021] Furthermore, the step of statistically analyzing the passed inspection data within the predetermined time period to obtain the passed inspection data to be displayed includes:

[0022] Based on the inspection data of the inspected goods that have been opened within a variety of predetermined time periods, the goods opening data is obtained, which includes the number of opened packages and the opening rate.

[0023] The method further includes: determining the top N product agents in terms of the number of goods received at each cargo station and the bottom M product agents in terms of the rate of package opening, as preferred product agents; or, determining the top P product agents in terms of the number of goods received at each cargo station, as enhanced security inspection product agents; wherein N, M, and P are all integers greater than 0;

[0024] The display of the data that has passed inspection and the data that has not passed inspection includes:

[0025] Display the inspected data and uninspected data to be displayed for the preferred product agent or the enhanced security inspection product agent.

[0026] Furthermore, the cargo data includes the outbound cargo volume and the inbound cargo volume of each cargo station;

[0027] The data analysis of the cargo security inspection data yields structured data, including:

[0028] The statistical results were obtained by analyzing the outbound and inbound cargo volumes of each cargo station within various predetermined time periods.

[0029] The presentation of the structured data includes:

[0030] The year-on-year and / or month-on-month comparisons show the outbound cargo volume and inbound cargo volume of each cargo station for the various scheduled durations.

[0031] Furthermore, the statistical results obtained by statistically analyzing the outbound cargo volume and inbound cargo volume of each cargo station within various predetermined time periods include:

[0032] Based on cargo categories, the outbound cargo volume and inbound cargo volume of each cargo station within various predetermined time periods are statistically analyzed to obtain the statistical results.

[0033] Furthermore, the cargo security inspection data includes information on each destination; the data analysis of the cargo security inspection data to obtain structured data includes: statistically analyzing the information on each destination and the cargo and mail throughput within a predetermined time period; the display of the structured data includes: displaying the relevant destinations and flow directions of the port and terminal according to the information on each destination, as well as the cargo and mail throughput within the predetermined time period.

[0034] And / or,

[0035] The acquisition of cargo security inspection data from at least one airport includes: collecting the cargo security inspection data according to predetermined collection rules, the predetermined collection rules including collection time points, collection frequency, collection method, and collection duration; or, collecting the cargo security inspection data according to predetermined collection rules, and cleaning the cargo security inspection data according to the types of dirty data to obtain cleaned data, the cleaned data including cleaned system data and cleaned preset business data, the types of dirty data including data with incorrect format, incomplete data, inconsistent data, and data with unreasonable business logic; and converting the format of the cleaned data to obtain format-converted data, which is used as the cargo security inspection data.

[0036] This application provides a security inspection information monitoring device, the security inspection information monitoring device comprising:

[0037] The acquisition module is used to acquire cargo security inspection data from at least one airport, the cargo security inspection data including cargo data, cargo certificate data and security inspection image data;

[0038] The processing module is used for data analysis of the cargo security inspection data to obtain structured data;

[0039] The display module is used to display the structured data for security inspection information supervision.

[0040] This application provides a security inspection information monitoring system, including one or more processors, for implementing the security inspection information monitoring method as described in any of the above claims.

[0041] This application provides a security inspection information monitoring system, including one or more processors for implementing the method described in any of the preceding claims.

[0042] This application provides a computer-readable storage medium having a program stored thereon that, when executed by a processor, implements the method described in any of the preceding claims.

[0043] In some embodiments, the security inspection information supervision method of this application acquires cargo security inspection data from at least one airport. The cargo security inspection data includes cargo data, cargo documentation data, and security inspection image data, including X-ray images and video surveillance data. Data analysis is performed on the cargo security inspection data to obtain structured data. The structured data is then displayed for security inspection information supervision. Thus, acquiring cargo security inspection data from at least one airport allows for comprehensive processing of the data from at least one airport. Furthermore, data analysis of the cargo security inspection data yields structured data for display, enabling unified supervision of cargo security inspection data from at least one airport. Attached Figure Description

[0044] Figure 1 The diagram shown is a flowchart illustrating the security inspection information monitoring method provided in this application embodiment;

[0045] Figure 2 As shown Figure 1 The flowcharts for steps 120 and 130 in the security inspection information supervision method are shown below.

[0046] Figure 3 The diagram shown is an interface diagram of the cargo inspection trend analysis of the security inspection information supervision method according to an embodiment of this application;

[0047] Figure 4The diagram shown is an interface diagram of the security inspection result analysis of the security inspection information supervision method according to an embodiment of this application;

[0048] Figure 5 The diagram shown is an interface diagram of the security checkpoint opening quantity prediction method of the security checkpoint information supervision method of this application embodiment;

[0049] Figure 6 As shown Figure 2 A schematic diagram illustrating the specific process following step 121 in the security inspection information supervision method shown below;

[0050] Figure 7 The diagram shown is an interface diagram of the freight category analysis of the security inspection information supervision method according to an embodiment of this application;

[0051] Figure 8 The diagram shown is a schematic representation of the interface for analyzing the business operation status of the security inspection information supervision method according to an embodiment of this application.

[0052] Figure 9 The diagram shown is a schematic representation of the second interface for analyzing the business operation status of the security inspection information supervision method according to an embodiment of this application.

[0053] Figure 10 The diagram shown is a schematic representation of the security inspection information monitoring device provided in an embodiment of this application.

[0054] Figure 11 The diagram shown is a structural block diagram of the security inspection information monitoring system provided in an embodiment of this application. Detailed Implementation

[0055] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with one or more embodiments of this specification. Rather, they are merely examples of apparatuses and methods consistent with some aspects of one or more embodiments of this specification as detailed in the appended claims.

[0056] It should be noted that the steps of the corresponding methods are not necessarily performed in the order shown and described in this specification in other embodiments. In some other embodiments, the methods may include more or fewer steps than described in this specification. Furthermore, a single step described in this specification may be broken down into multiple steps in other embodiments; and multiple steps described in this specification may be combined into a single step in other embodiments.

[0057] To address the technical challenges of information sharing and coordinated supervision in air cargo security management, this application provides a method for monitoring security information. The method involves acquiring cargo security data from at least one airport, including cargo data, cargo documentation data, and security image data, specifically X-ray images and video surveillance data. The method analyzes the cargo security data to obtain structured data and displays this structured data for monitoring security information. This approach allows for the comprehensive processing and analysis of cargo security data from at least one airport, enabling coordinated supervision of cargo security data from at least one airport.

[0058] The security inspection information monitoring method of this application embodiment can be applied to a security inspection information monitoring system. This security inspection information monitoring system can also be called a security inspection information monitoring platform. Furthermore, the security inspection information monitoring platform can be, but is not limited to, a cockpit-based security inspection information monitoring platform. The security inspection information monitoring platform enables regulatory departments to monitor and view the cargo security work at cargo terminals at any time using the security inspection information in the security inspection information monitoring system and a large visual display screen, and to track the entire process of cargo security inspection. By analyzing the security inspection behavior trajectory in the cargo area and combining it with data from regulatory departments and other sources, it provides data support for decision-making. Faced with an increasingly complex air defense security situation, it can further ensure the safety and harmony of civil aviation operations.

[0059] Figure 1 The diagram shown is a flowchart of the security inspection information monitoring method provided in the embodiment of this application.

[0060] like Figure 1 As shown, the security inspection information monitoring method provided in this application includes the following steps 110 to 130:

[0061] Step 110: Obtain cargo security inspection data from at least one airport. The cargo security inspection data includes cargo data, cargo certificate data, and security inspection image data.

[0062] The aforementioned cargo security inspection data from at least one cargo terminal includes cargo security inspection data from one cargo terminal and cargo security inspection data from multiple cargo terminals. In the case of multiple cargo terminals, cargo security inspection data from one or multiple cargo terminals can be obtained to process cargo information from one or more terminals. A cargo terminal can be any terminal capable of acquiring and statistically analyzing cargo security inspection data. Cargo terminals may include, but are not limited to, one or more of Hongqiao Airport and Pudong Airport.

[0063] The above cargo data reflects the data to be transported by the freight forwarder. Cargo data may include, but is not limited to, one or more of the following: basic cargo information, waybill information, manifest information, weight, dimensions, handling status, and storage status.

[0064] The aforementioned freight verification data is used to reflect whether the freight is qualified. Freight verification data may include, but is not limited to, one or more of the following: electronic stamps confirming freight security inspection qualification, freight labels, freight weight, freight volume, freight security inspection information, electronic security inspection receipts, etc.

[0065] Security inspection image data includes security X-ray image data and security video surveillance data. Furthermore, the aforementioned security X-ray image data is used to reflect the status of goods undergoing security inspection. Security X-ray image data may include, but is not limited to, one or more of the following: the security inspection location of the goods, image generation time, security inspection interpretation result, security operator ID, baggage inspection interpretation time, 2D original image download address, 3D original image download address, 2D security signage image download address, and 3D security signage image download address. The aforementioned security video surveillance data is obtained through cameras or monitoring equipment. Security video surveillance data may include, but is not limited to, video resource information from freight security inspection channels and designated key areas.

[0066] In step 110, obtaining security video surveillance data from at least one airport's cargo security inspection data may further include obtaining security video surveillance data through a national standard gateway or an SDK (Software Development Kit).

[0067] The aforementioned cargo security inspection data may also include security deployment data. Security deployment data may include, but is not limited to, basic information about the agents involved in security deployment, such as agent name, agent code, and deployment time.

[0068] Step 110 described above includes multiple implementation methods. In one implementation method, step 110 may further include acquiring cargo security inspection data collected according to predetermined collection rules. The predetermined collection rules include collection time points, collection frequency, collection methods, and collection duration. The predetermined collection rules also include collection task scheduling sub-rules, data validity periods, and other collection rules. The task scheduling sub-rules include manually scheduled collection task sub-rules or automatically scheduled collection task sub-rules.

[0069] Task scheduling sub-rules may include, but are not limited to, the task scheduling time, the task occurrence frequency, and the task duration. Automatic task scheduling sub-rules may include, but are not limited to, one or more of the pre-defined scheduling time, frequency, and duration. Thus, the system needs to automatically schedule data collection tasks according to pre-defined scheduling time, frequency, and duration, and the system also needs to support manual scheduling of data collection tasks. In this way, by configuring data collection tasks based on the business characteristics and update frequency of freight security inspection data, automatic and real-time data collection can be achieved.

[0070] The method also includes recording the results of data acquisition task scheduling and the data acquisition time period to form a data acquisition task scheduling log; recording the data acquisition task scheduling log and managing the data acquisition task scheduling log. The results of data acquisition task scheduling may include, but are not limited to, successful and failed results of data acquisition task scheduling.

[0071] In another implementation, step 110 above may further include the following two steps: First, according to predetermined collection rules, collect freight security inspection data, and clean the freight security inspection data based on the types of dirty data to obtain cleaned data. The cleaned data includes cleaned system data and pre-defined cleaned business data. Dirty data types include data with incorrect formats, incomplete data, inconsistent data, and data with unreasonable business logic. Thus, data cleaning, during the data integration process, detects errors and inconsistencies in data from different sources, removes or corrects them, thereby improving data quality. Automatic data cleaning function: responsible for cleaning and confirming the data. The data cleaning process can be divided into two categories: one is a dedicated cleaning program written for specific business data sources, and the other is a general program applicable to the cleaning needs within the unified freight supervision platform. Second, convert the format of the cleaned data to obtain format-converted data, which serves as freight security inspection data. Thus, data conversion is responsible for operating on or amplifying the data extracted from the source system. The conversion process is the last modification step before the data enters the unified freight supervision platform. Fact table aggregation and key performance indicator calculation are both completed in this step. Data transformation includes the following: inconsistent data transformation, message format parsing and transformation, reference transformation, string processing, date processing, predetermined values, aggregation operations, and business rule calculations.

[0072] The method also includes loading the format-converted data according to the defined structure after step 110 above. The main task of data loading is to load the cleaned dataset into the target storage according to the defined structure, allowing for manual intervention, and providing error reporting, system logs, data backup and recovery functions.

[0073] Among them, through technological innovation, China Eastern Airlines Logistics has integrated cargo security inspection services, including data integration for security declarations, cargo verification, channel review, cargo X-ray image acquisition, video monitoring of the cargo inspection process, agent credit management, and information traceability. This has created a closed-loop chain for air defense security management of related upstream, midstream, and downstream business systems, and built a comprehensive information management system for China Eastern Airlines Logistics cargo security inspection that meets the actual business needs of the security inspection department and complies with the regulatory authority's compliance checks.

[0074] Step 120: Analyze the cargo security inspection data to obtain structured data.

[0075] The structured data mentioned above includes the corresponding database type, source data table, and the data fields to be collected.

[0076] The cargo security inspection data can be referred to as the source data, and the structured data can be referred to as the target data. Step 130 above may further include performing aggregation analysis and / or statistical analysis on the source data, and obtaining the structured data based on the mapping relationship between the source data and the target data.

[0077] Step 130: Display structured data for security check information monitoring.

[0078] In this embodiment of the application, cargo security inspection data from at least one airport can be obtained, and the cargo security inspection data from at least one airport can be processed comprehensively. Furthermore, data analysis of the cargo security inspection data can be performed to obtain structured data for display, thereby enabling unified supervision of cargo security inspection data from at least one airport.

[0079] Figure 2 As shown Figure 1 The diagram shows the specific process flow of steps 120 and 130 in the security inspection information supervision method.

[0080] like Figure 2 As shown, step 130 above may further include steps 121 and 123 as follows: Step 121, based on the cargo data, calculate the number of goods received by the cargo station within the predetermined time period. The total cargo volume received by the cargo station within the predetermined time period represents the total cargo volume of all cargo stations that have been received, indicating that the FOH message has been received. For example, today's cargo volume refers to the sum of the total cargo volume of all cargo stations that have been received from 0:00 today to the present.

[0081] Step 122: Compile the inspection data within the predetermined time period to obtain the inspection data to be displayed. This data includes the number and weight of inspected goods. The inspection data to be displayed represents the number of waybills that have completed security checks. Step 123: Compile the number of goods received by the cargo station that have not completed security checks, as the uninspected data to be displayed. This data includes the number of uninspected goods. The uninspected data to be displayed represents the number of waybills currently undergoing security checks and those still in the security check queue.

[0082] Step 130 above may further include step 131, displaying the data to be displayed that has passed inspection and the data to be displayed that has not yet been inspected. This allows for monitoring of the number of goods received at the station and the progress of security checks within a predetermined timeframe, enabling macro-level oversight of these metrics.

[0083] Continue to combine Figure 2 There are multiple ways to implement steps 122, 123 and / or 131 above.

[0084] In one implementation, step 122 may further include statistically analyzing the inspection data to be displayed according to predefined dimensions to obtain the inspection data to be displayed. The predefined dimensions include one or more of the following: product agent, carrier, flight, route, and cargo station. Step 123 may further include statistically analyzing the number of goods received at the cargo station that have not undergone security checks according to predefined dimensions to obtain the uninspected data to be displayed. Step 131 may further include displaying the inspection data to be displayed and the uninspected data to be displayed according to predefined dimensions. The predefined dimensions may include, but are not limited to, one or more dimensions such as agent, carrier, flight, route, and cargo station. This allows for statistical analysis based on one or more of the following: agent, airline, and cargo station.

[0085] Figure 3 The diagram shown is a schematic representation of the interface for cargo inspection trend analysis in the security inspection information supervision method of this application embodiment.

[0086] Combination Figure 2 and Figure 3 As shown, in another implementation, step 122 above may further include statistically analyzing the opened goods from the inspection data within multiple predetermined time periods to obtain goods opening data, which includes the number of opened packages and the opening rate. The multiple predetermined time periods can be set according to user needs. These multiple predetermined time periods may include, but are not limited to, days, weeks, months, and years. This allows for the statistical analysis of inspection data from some or all security inspection machines based on one or more of these time periods (day, week, month, year, etc.).

[0087] The method also includes identifying the top N product agents in terms of cargo volume received by each cargo station and the bottom M in terms of package opening rate, as preferred product agents. This reduces the intensity of security checks on preferred product agents, thus improving security efficiency. Furthermore, statistically analyzing the number of packages opened and the opening rate by cargo station facilitates individual screening by each station, meeting their diverse security needs. The term "preferred product agent" reflects agents with high creditworthiness and very low package opening rates. For example, N and M can be set according to user needs; the higher the required agent creditworthiness, the smaller the values ​​of N and M. N and M are, but not limited to, less than 11. Examples of N and M values ​​are 1, 2, 3, 4, 5, 6, 7, 8, 9, and 10.

[0088] The method further includes: identifying the top P product agents in terms of the number of goods received at each cargo station, and designating them as enhanced security inspection product agents. Thus, enhanced security inspections are conducted on the goods of these enhanced security inspection product agents. Enhanced security inspection product agents are used to reflect agents with lower credit ratings. N, M, and P are all integers greater than 0. For example, P can be set according to user needs; the lower the required agent credit rating, the smaller the value of P. P can be, but is not limited to, less than 10. P can be 1, 2, 3, 4, 5, 6, 7, 8, 9, or 10.

[0089] Step 131 above may further include displaying the pending inspection data and pending uninspected data for the preferred product agent or the enhanced security inspection product agent. This allows for supervision based on different product agent types, such as preferred product agents or enhanced security inspection product agents, enhancing the targeting of supervision and improving its security.

[0090] Figure 4 The diagram shown is an interface diagram of the security inspection result analysis of the security inspection information supervision method according to an embodiment of this application.

[0091] Combination Figure 2 and Figure 4As shown, the method further includes: after step 122 above, if it is determined that the inspection data to be displayed includes abnormal goods, abnormal goods are counted according to a predetermined time period to obtain abnormal goods information. Abnormal goods information includes the total number of abnormal goods and their attributes; structured data is displayed, which may include: year-on-year and / or month-on-month comparisons of abnormal goods within a predetermined time period. The predetermined time period can be set according to user needs. For example, the predetermined time period may include, but is not limited to, days, months, years, etc. A day may include the current day. This allows displaying the total number of abnormal goods for the day and detailed information for each abnormal item. Similarly, a month may include the current month, and a year may include the current year. Further details are omitted here. This makes it easier to identify abnormal goods in a timely manner, improving transportation safety. Furthermore, by displaying abnormal goods within a predetermined time period through year-on-year and / or month-on-month comparisons, a macroscopic understanding of the occurrence of abnormal goods is achieved, facilitating statistical analysis and subsequent information gathering by regulatory authorities.

[0092] Abnormal cargo is used to reflect goods that require key monitoring. Abnormal cargo includes contraband. Contraband may include, but is not limited to, dangerous goods. The attributes of abnormal cargo include one or more of the following: abnormal cargo name, total number of abnormal cargo, abnormal cargo handling method, abnormal cargo security inspection time, abnormal cargo security inspection location, and abnormal cargo carrier.

[0093] The aforementioned method of statistically analyzing abnormal goods according to a predetermined time period, when it is determined that the inspection data to be displayed contains abnormal goods, can further include statistically analyzing abnormal goods according to predefined dimensions and a predetermined time period, to obtain abnormal goods information. In this way, both the predefined dimensions and the predetermined time period are linked to the abnormal goods information. When subsequently displaying abnormal goods information, it can be displayed according to the predefined dimensions, facilitating regulatory authorities to understand the situation based on these predefined dimensions.

[0094] Figure 5 The diagram shown is an interface diagram of the security checkpoint opening quantity prediction method of the security checkpoint information supervision method of this application embodiment. Figure 6 As shown Figure 2 The diagram shows the specific process after step 121 in the security inspection information supervision method.

[0095] like Figure 2 , Figure 5 and Figure 6As shown, after step 121 above, the method further includes step 132, which uses the quantity of goods received at the freight station, the historical security check rate, and the current number of open security check lanes to determine whether the current transport capacity of the security check lanes meets the delivery volume within a preset future time period. The historical security check rate refers to the number of inspected goods per unit time period. If not, meaning the current transport capacity of the security check lanes does not meet the delivery volume within the preset future time period, then step 133 is executed to prompt the opening of the security check lanes. The preset future time period can be set according to user needs or derived from the current operating time and the future available operating time. For example, the preset future time period could be the delivery volume for the next 1-3 hours. If yes, meaning the current transport capacity of the security check lanes meets the delivery volume within the preset future time period, then the process either returns to step 132 or stops executing the process for determining the transport capacity of the current security check lanes. This allows for early warning of security check lane openings, ensuring that the current transport capacity of the security check lanes matches the interaction volume and guaranteeing timely completion of freight security checks.

[0096] Figure 7 The diagram shown is an interface diagram of the freight category analysis of the security inspection information supervision method according to an embodiment of this application.

[0097] like Figure 1 and Figure 7 As shown, the cargo data includes the outbound cargo volume and the inbound cargo volume of each cargo station;

[0098] Step 120 above may further include calculating the outbound and inbound cargo volumes of each cargo station within multiple predetermined time periods to obtain statistical results. These statistical results include one or more of the following: cumulative cargo volume, cumulative outbound cargo volume, and cumulative inbound cargo volume. Cumulative cargo volume refers to the sum of cumulative outbound and cumulative inbound cargo volumes. Cumulative outbound cargo volume refers to the cumulative cargo volume of all domestic and international flights departing from the departure airport. Cumulative inbound cargo volume refers to all domestic and international cargo volumes arriving at the arrival airport and being stored, excluding transit cargo. Inbound cargo volume refers to the arriving cargo volume received within multiple predetermined time periods, representing the cargo volume for which RCF messages have been reported. For example, today's inbound cargo volume refers to the arriving cargo volume received from 0:00 today to the present.

[0099] Step 130 above may further include displaying year-on-year and / or month-on-month comparisons of outbound and inbound cargo volumes for each terminal across various scheduled durations. Year-on-year comparison refers to performing a year-on-year analysis based on current statistical results. Month-on-month comparison refers to performing a month-on-month analysis based on current statistical results. This facilitates the analysis of trends in outbound and inbound cargo volumes for each terminal across various scheduled durations.

[0100] continue Figure 7As shown, the outbound and inbound cargo volumes of each cargo station are statistically analyzed within various predetermined time periods. The results include: categorized by cargo type, the outbound and inbound cargo volumes of each cargo station are statistically analyzed within various predetermined time periods. Cargo categories include general cargo, dangerous goods, express mail, mail, and special cargo. Statistical analysis by cargo type facilitates the tracking of logistics information. Thus, the statistical analysis of outbound and inbound cargo volumes at each cargo station can be performed at any of four granularities: by year, month, week, or day, for comparative analysis.

[0101] The statistical results can be obtained by statistically analyzing the outbound and inbound cargo volumes of each cargo station within various predetermined time periods. This can include statistical analysis by cargo station and statistical object, as well as year-on-year and month-on-month comparisons.

[0102] continue Figure 7 As shown, cargo security inspection data includes information on various destinations. Data analysis of this cargo security inspection data yields structured data, including: statistical information on each destination and cargo throughput within a predetermined timeframe; the structured data is then displayed, including: based on the destination information, showing the relevant destinations and flow directions of the port / terminal, as well as the cargo throughput within the predetermined timeframe. This allows for a macro-level understanding of the information on each destination, which is beneficial for regulatory oversight.

[0103] Figure 7 The system displays information on destinations and cargo throughput for the current month. It is presented in two parts: a map showing relevant destinations and flow directions, and the monthly cargo throughput for each destination. Domestic data is displayed by default, but users can switch between domestic and international data, and the display can automatically switch between different months. Clicking on a destination displays its monthly cargo throughput, the same month's cargo throughput, year-on-year growth rate, monthly load factor, inbound cargo throughput, and outbound cargo throughput for the current month.

[0104] In this embodiment, by intelligently integrating video, images, documents, and structured data from cargo security inspections and employing big data analytics, the project monitors the cargo security inspection operations at both China Eastern Airlines Logistics airports. To ensure the reliability and stability of non-video data transmission between the two airports, the security inspection information monitoring platform primarily uses structured data, and relevant video information from the airport cargo terminals where the platform is deployed can be displayed as needed.

[0105] Figure 8 The diagram shown is a schematic of the interface for analyzing the business operation status of the security inspection information supervision method according to an embodiment of this application. Figure 9 The diagram shown is a schematic representation of the second interface for analyzing the business operation status of the security inspection information supervision method according to an embodiment of this application.

[0106] like Figure 8 and Figure 9As shown, flight statistics may include, but are not limited to, the cumulative number of flights this year, flights arriving / departing today, the cumulative number of departing flights this year, and the cumulative number of arriving flights this year. The cumulative number of flights this year refers to the sum of the cumulative number of departing and arriving cargo volumes this year. Flights arriving / departing today refers to flights that have arrived / departed between 00:00 today and the current time. The cumulative number of departing flights this year refers to the number of flights that have departed from Pudong / Hongqiao Airport between 00:00 on January 1st of the current year and the current time. The cumulative number of arriving flights this year refers to the number of flights that have arrived at Pudong / Hongqiao Airport between 00:00 on January 1st of the current year and the current time.

[0107] Continue as Figure 8 and Figure 9 As shown, monthly cargo and mail throughput statistics can be displayed based on query criteria, showing the current month's cargo and mail throughput, year-on-year throughput, year-on-year growth rate, and load factor. Similarly, annual cargo and mail throughput statistics can be displayed based on query criteria, showing the cumulative cargo and mail throughput for the year, year-on-year throughput, year-on-year growth rate, and load factor. Cargo and mail throughput statistics by agent and airline can be displayed as stacked bar charts showing the cargo and mail throughput of each agent and its affiliated airlines.

[0108] Continue as Figure 8 and Figure 9 As shown, cargo volume statistics by aircraft type can be displayed as a bar chart showing the top ten aircraft types and their cargo and mail throughput for the month. Cargo volume statistics by domestic and international routes and flight schedules can be displayed as a two-tiered pie chart showing domestic and international cargo and mail throughput, as well as the cargo and mail throughput of its passenger / cargo and all-cargo aircraft. Cargo volume statistics by cargo type can be displayed as a pie chart showing the cargo and mail throughput of each cargo type for the month, with statistical dimensions including general cargo, dangerous goods, express mail, and postal mail. Cargo volume statistics for the past 30 days can be displayed as a multi-dimensional line chart showing the daily flight throughput and cargo and mail throughput for the month.

[0109] Figure 10 The diagram shown is a schematic diagram of the security inspection information monitoring device provided in an embodiment of this application.

[0110] like Figure 10 As shown, the security inspection information monitoring device includes the following modules:

[0111] The acquisition module 21 is used to acquire cargo security inspection data from at least one airport. The cargo security inspection data includes cargo data, cargo certificate data, and security inspection image data.

[0112] Processing module 22 is used for data analysis of cargo security inspection data to obtain structured data;

[0113] Display module 23 is used to display structured data for security inspection information supervision.

[0114] The specific implementation process of the functions and roles of each module in the above device can be found in the implementation process of the corresponding steps in the above method, and will not be repeated here.

[0115] Figure 11 The diagram shown is a structural block diagram of the security inspection information monitoring system 30 provided in an embodiment of this application. The security inspection information monitoring system 30 includes one or more processors 31 for implementing the security inspection information monitoring method described above.

[0116] In some embodiments, the security inspection information monitoring system 30 may include a computer-readable storage medium 39, which may store a program that can be invoked by a processor 31, and may include a non-volatile storage medium. In some embodiments, the security inspection information monitoring system 30 may include memory 38 and an interface 37. In some embodiments, the security inspection information monitoring system 30 may also include other hardware depending on the actual application.

[0117] The computer-readable storage medium 39 of this application embodiment stores a program that, when executed by the processor 31, is used to implement the security inspection information monitoring method described above.

[0118] This application may take the form of a computer program product implemented on one or more computer-readable storage media 39 (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing program code. The computer-readable storage media 39 includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented using any method or technology. The information may be computer-readable instructions, data structures, program modules, or other data. Examples of computer-readable storage media 39 include, but are not limited to: phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transfer medium that can be used to store information accessible by a computing device.

[0119] The above are merely preferred embodiments of this specification and are not intended to limit this specification. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this specification shall be included within the scope of protection of this specification.

[0120] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Without further limitations, an element qualified by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

Claims

1. A method for monitoring security inspection information, characterized in that, include: Acquire cargo security inspection data from multiple airports, including cargo data, cargo certificate data, and security inspection image data; It includes: cleaning the cargo security inspection data according to the types of dirty data to obtain cleaned data, the cleaned data including cleaned system data and cleaned preset business data, the types of dirty data including data with incorrect format, incomplete data, inconsistent data, and data with unreasonable business logic; converting the format of the cleaned data to obtain format-converted data, which is used as the cargo security inspection data; Data analysis of the cargo security inspection data to obtain structured data includes: performing aggregation analysis and / or statistical analysis on the cargo security inspection data, and obtaining structured data based on the mapping relationship between the cargo security inspection data and the structured data; statistically analyzing the inspection data within a predetermined time period to obtain inspection data to be displayed, the inspection data to be displayed including the number and weight of inspected goods; and statistically analyzing the inspection data to be displayed according to predefined dimensions, the predefined dimensions including multiple of product agent, carrier, flight, route and cargo station. The structured data is displayed for security check information monitoring.

2. The security inspection information monitoring method as described in claim 1, characterized in that, The data analysis of the cargo security inspection data yields structured data, including: Based on the cargo data, calculate the number of goods received at the cargo station within the predetermined time period; The number of goods received at the cargo station that have not undergone security checks is counted and used as uninspected data to be displayed. The uninspected data to be displayed includes the number of uninspected goods. The presentation of the structured data for security check information monitoring includes: Display the data that has passed inspection and the data that has not yet been inspected.

3. The security inspection information monitoring method as described in claim 2, characterized in that, After calculating the number of goods received at the freight station within a predetermined time period based on the cargo data, the method further includes: By using the quantity of goods received at the freight station, historical security check rates, and the current number of open security check lanes, it can be determined whether the transportation capacity of the current security check lanes can meet the delivery volume within a preset future time period. If the current transport capacity of the security checkpoint is insufficient to meet the delivery volume within the preset future time period, a reminder will be issued to open the security checkpoint.

4. The security inspection information monitoring method as described in claim 2, characterized in that, The number of goods received at the cargo station that have not undergone security checks, as the unchecked data to be displayed, includes: The number of goods received at the cargo station that have not undergone security checks is statistically analyzed according to the predefined dimensions to obtain the unchecked data to be displayed. The display of the inspected data and uninspected data to be displayed includes: According to the predefined dimensions, the data to be displayed includes the data that has passed inspection and the data that has not yet been inspected.

5. The security inspection information monitoring method as described in claim 2, characterized in that, After obtaining the pass-through data to be displayed by statistically analyzing the pass-through data within the predetermined time period, the method further includes: If it is determined that the inspection data to be displayed includes abnormal goods, the abnormal goods are counted according to a predetermined time period to obtain abnormal goods information, which includes the total number of abnormal goods and the attributes of the abnormal goods. The presentation of the structured data also includes: The year-on-year and / or month-on-month comparisons show the abnormal shipments for the predetermined time period.

6. The security inspection information monitoring method as described in claim 2, characterized in that, The statistical analysis of the passed inspection data within the predetermined time period yields the passed inspection data to be displayed, including: Based on the inspection data of the inspected goods that have been opened within a variety of predetermined time periods, the goods opening data is obtained, which includes the number of opened packages and the opening rate. The method further includes: determining the top N product agents in terms of the number of goods received at each cargo station and the bottom M product agents in terms of the rate of package opening, as preferred product agents; or, determining the top P product agents in terms of the number of goods received at each cargo station, as enhanced security inspection product agents; wherein N, M, and P are all integers greater than 0; The display of the passed inspection data and the uninspected inspection data to be displayed includes: Display the inspected data and uninspected data to be displayed for the preferred product agent or the enhanced security inspection product agent.

7. The security inspection information monitoring method as described in claim 1, characterized in that, The cargo data includes the outbound cargo volume and the inbound cargo volume of each cargo station. The data analysis of the cargo security inspection data yields structured data, including: The statistical results were obtained by analyzing the outbound and inbound cargo volumes of each cargo station within various predetermined time periods. The presentation of the structured data includes: The year-on-year and / or month-on-month comparisons show the outbound cargo volume and inbound cargo volume of each cargo station for the various predetermined durations.

8. The security inspection information monitoring method as described in claim 7, characterized in that, The statistical results obtained by statistically analyzing the outbound cargo volume and inbound cargo volume of each cargo station within various predetermined time periods include: Based on cargo categories, the outbound cargo volume and inbound cargo volume of each cargo station within various predetermined time periods are statistically analyzed to obtain the statistical results.

9. The security inspection information monitoring method as described in claim 1, characterized in that, The cargo security inspection data includes information on each destination; the data analysis of the cargo security inspection data to obtain structured data includes: statistically analyzing the information on each destination and the cargo and mail throughput within a predetermined time period; the display of the structured data includes: displaying the relevant destinations and flow directions of the port and terminal according to the information on each destination, as well as the cargo and mail throughput within the predetermined time period.

10. The security inspection information monitoring method as described in claim 1, characterized in that, The acquisition of cargo security inspection data from at least one airport includes: collecting the cargo security inspection data according to predetermined collection rules, wherein the predetermined collection rules include collection time points, collection frequency, collection method, and collection duration.

11. A security inspection information monitoring device, characterized in that, The security check information monitoring device includes: The acquisition module is used to acquire cargo security inspection data from multiple airports. The cargo security inspection data includes cargo data, cargo documentation data, and security inspection image data. The module includes: cleaning the cargo security inspection data according to the types of dirty data to obtain cleaned data. The cleaned data includes cleaned system data and cleaned preset business data. The types of dirty data include data with incorrect format, incomplete data, inconsistent data, and data with unreasonable business logic. The cleaned data is then converted to a new format to obtain converted data, which is used as the cargo security inspection data. The processing module is used for data analysis of the cargo security inspection data to obtain structured data; it includes: performing aggregation analysis and / or statistical analysis on the cargo security inspection data, and obtaining structured data based on the mapping relationship between the cargo security inspection data and the structured data; statistically analyzing the inspection data within a predetermined time period to obtain inspection data to be displayed, the inspection data to be displayed including the number and weight of inspected goods; it also includes: statistically analyzing the inspection data to be displayed according to predefined dimensions to obtain the inspection data to be displayed, the predefined dimensions including multiple of product agent, carrier, flight, route and cargo station; The display module is used to display the structured data for security inspection information supervision.

12. A security inspection information monitoring system, characterized in that, It includes one or more processors for implementing the security inspection information monitoring method as described in any one of claims 1-10.

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