Luggage transportation risk tracing method, system, medium and equipment

Abstract

The invention belongs to the technical field of luggage transportation, and provides a luggage transportation risk tracing method, system, medium and equipment, and the technical scheme is as follows: calculating a luggage case collision risk factor at any moment according to the three-axis acceleration of a luggage case, and calculating a luggage case posture risk factor at any moment according to the three-axis angle of the luggage case; calculating a luggage damage risk index of each service link of each navigation station based on the luggage collision risk factor and the luggage posture risk factor at any moment; according to the luggage damage risk index of each business link of each navigation station, drawing a navigation station luggage transportation quality matrix table and a luggage transportation quality change trend chart of the corresponding navigation station; and according to the airport station luggage transportation quality matrix table and the luggage transportation quality change trend chart, performing analysis to obtain a service link of which the luggage damage risk index is higher than a set risk index threshold. The industrial problem of luggage transportation quality control is solved, and luggage case damage reason analysis and responsibility definition are realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of baggage transportation management, and in particular relates to a baggage transportation risk tracing method, system, medium and equipment. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] People often need to carry luggage in various transportation such as aviation, railways, roads, and shipping. For example, in the process of air travel, luggage transportation needs to go through multiple links such as check-in, sorting, loading, loading, transit, arrival unloading, and retrieval. The transportation distance is long, and it needs to go through multiple responsible entities such as airports, airlines, and ground agency companies, multiple positions, and multiple ground-air-ground connections. Improper luggage transportation leads to damage of passengers' luggage from time to time. The quality control of luggage transportation services has become a difficult problem for the world's civil aviation industry.

[0004] Possible causes of luggage damage include: original damage to the suitcase, conveyor belt squeezing and luggage falling, rough loading and unloading, falling and collision during apron transportation, quality defects of the suitcase, and brittle plastic due to low environmental temperature. The traditional way to determine the cause of luggage damage is to check on-site video surveillance. Since luggage transportation involves the coordination of multiple transportation units and multiple transportation points, there are difficulties such as difficulty in full coverage of video surveillance, complicated approval procedures for reviewing videos from other units, and legal risks. There is currently no other technical means to achieve this, making it difficult to determine the cause of luggage damage and the definition of responsibility. Summary of the invention

[0005] In order to solve at least one of the technical problems existing in the above-mentioned background technology, the present invention provides a baggage transportation risk tracing method, system, medium and equipment, which locates the time, place and business link of improper baggage operation behavior through luggage acceleration change data, combined with luggage posture data and time series data of various links in aircraft operation, thereby providing a new tool and method for baggage transportation quality control.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: A first aspect of the present invention provides a baggage transportation risk tracing method, comprising the following steps: Obtain the three-axis acceleration and three-axis angle of the luggage during the luggage transportation process in each business link of each terminal; According to the three-axis acceleration of the suitcase, the collision risk factor of the suitcase at any time is calculated, and according to the three-axis angle of the suitcase, the posture risk factor of the suitcase at any time is calculated; Based on the luggage collision risk factor and luggage posture risk factor at any time, calculate the luggage damage risk index of each business link at each terminal; According to the baggage damage risk index of each business link at each terminal, draw the terminal baggage transportation quality matrix table and baggage transportation quality change trend chart of the corresponding terminal; According to the terminal baggage transportation quality matrix table and the baggage transportation quality change trend chart, the business links where the baggage damage risk index is higher than the set risk index threshold are analyzed, and the time and place where the risky business occurs are determined.

[0007] Furthermore, the baggage damage risk index of each business link at each terminal is: , , , in, is the luggage damage risk index of each business link, For any time t The luggage compartment collision risk factor is For any time t The luggage posture risk factor, For time point t of x Axis acceleration, For time point t of y Axis acceleration, For time point t The z-axis acceleration, To find the maximum function, Business links x The start time, For business links x The end time of For time point t of x Axis angle, For time point t of y Axis angle, For time point t The z-axis angle of the function The definition of is: x Less than the threshold angle hour, ,when x Greater than the threshold angle hour, , where mod is the remainder operator. The luggage placement angle threshold is set.

[0008] Furthermore, when drawing the terminal baggage transportation quality matrix table, a list of flights guaranteed by the terminal that month is obtained, and the baggage damage risk index of each business link corresponding to each flight is calculated based on the luggage collection data matched with the flights and the start and end times of each business link. The baggage damage risk index of each business link of all flights is averaged according to the number of flights to form the baggage damage risk index of the month corresponding to each business link of the terminal.

[0009] Furthermore, when drawing the trend chart of baggage transport quality changes, based on the data in the terminal baggage transport quality matrix table, the average of the baggage damage risk index of each business link of the terminal is used as the overall baggage damage risk index of the terminal for that month. At the same time, the business weight value of each terminal is determined according to the business guarantee volume indicators of each terminal. The monthly baggage damage risk index of all terminals is multiplied by the business weight, and the sum is divided by the total weight to obtain the company's overall baggage damage risk index for each month.

[0010] Furthermore, the business links include consignment, sorting, loading, installation, transit, arrival unloading and extraction business links.

[0011] A second aspect of the present invention provides a baggage transportation risk tracing system, comprising: A data acquisition module is used to obtain the three-axis acceleration, three-axis angular velocity and three-axis angle of the luggage during the luggage transportation process of each business link at each terminal; The risk index calculation module is used to calculate the luggage collision risk factor at any time according to the three-axis acceleration of the luggage, and calculate the luggage posture risk factor at any time according to the three-axis angle of the luggage; based on the luggage collision risk factor and luggage posture risk factor at any time, calculate the luggage damage risk index of each business link at each terminal; The risk tracing module is used to draw the terminal baggage transportation quality matrix table and the baggage transportation quality change trend chart of the corresponding terminal according to the baggage damage risk index of each business link in each terminal; according to the terminal baggage transportation quality matrix table and the baggage transportation quality change trend chart, the business links with baggage damage risk index higher than the set risk index threshold are analyzed, and the time and place of the risk business are determined.

[0012] Furthermore, a gyroscope and an accelerometer are set on the suitcase, and the gyroscope is used to obtain the angular velocity of the suitcase rotating around the three axes X, Y, and Z. The angle is calculated by integrating the angular velocity with time, and the obtained angle change is added to the initial angle to obtain the target angle. The accelerometer is used to obtain the acceleration information of the suitcase around the three axes of XYZ.

[0013] Furthermore, in the risk tracing module, when drawing the terminal baggage transportation quality matrix table, the list of flights guaranteed by the terminal that month is obtained, and the baggage damage risk index of each business link corresponding to each flight is calculated based on the flight matching luggage collection data and the start and end time of each business link. The baggage damage risk index of each business link of all flights is averaged according to the number of flights to form the baggage damage risk index of the month corresponding to each business link of the terminal.

[0014] A third aspect of the present invention provides a computer-readable storage medium.

[0015] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps in the baggage transportation risk tracing method as described above.

[0016] A fourth aspect of the present invention provides a computer device.

[0017] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in the baggage transportation risk tracing method as described above are implemented.

[0018] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention integrates the posture detection function and the three-axis acceleration detection function with the luggage, collects the posture and collision data of the entire luggage transportation process, and combines the data of the civil aviation passenger luggage security nodes to locate the time, place and business link of improper luggage operation behavior, so as to quickly determine the cause analysis and responsibility definition of the damage to the luggage.

[0019] 2. The present invention draws a terminal baggage transportation quality matrix table and a baggage transportation quality change trend chart of the corresponding terminal according to the baggage damage risk index of each business link in each terminal; according to the terminal baggage transportation quality matrix table and the baggage transportation quality change trend chart, the business links whose baggage damage risk index is higher than the set risk index threshold are analyzed, and the time and place where the risk business occurs are determined, so as to quickly determine the cause analysis and responsibility definition of the luggage damage.

[0020] Advantages of additional aspects of the present invention will be given in part in the following description, and in part will become obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0022] Figure 1This is a flow chart of a baggage transportation risk tracing method provided by an embodiment of the present invention; Figure 2 is a schematic diagram of a baggage transportation process data measuring device provided by an embodiment of the present invention; Figure 3 This is a luggage transportation quality change trend diagram provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0023] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0024] It should be noted that the following detailed descriptions are all illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0025] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0026] In view of the fact that there is currently no technical integration solution and data collection method for detecting the posture and collision data of luggage during transportation, nor is there a solution for analyzing improper luggage transportation behavior through the posture and instantaneous collision data of luggage, the present invention integrates the posture detection function and the three-axis acceleration detection function with the luggage to realize a device and method for collecting the posture and collision data of the entire luggage transportation process. Through the collection of the posture and collision data of the entire luggage transportation process, combined with the data of the civil aviation passenger luggage security node, the time, place and business link of improper luggage operation behavior are located, and the cause analysis and responsibility definition of the damage to the luggage are quickly determined. Through the application and analysis of digital means, the industry problem of luggage transportation quality control is solved.

[0027] Embodiment 1 like Figure 1 As shown, this embodiment provides a baggage transportation risk tracing method, including the following steps: Step 1: Obtain the status data of the suitcase during the luggage transportation process; like Figure 2 As shown, in this embodiment, the status data of the suitcase is obtained by integrating a high-precision gyroscope, an accelerometer, a geomagnetic field sensor, and a positioning module with the suitcase; The gyroscope is used to obtain the angular velocity of the suitcase rotating around the three axes XYZ. The angle is calculated by integrating the angular velocity with time. The obtained angle change is added to the initial angle to obtain the target angle. Use the accelerometer to obtain the acceleration information of the suitcase around the three axes of XYZ; The geomagnetic field sensor is used to obtain the angle between the direction of the suitcase and the XYZ direction of the earth's magnetic field to eliminate the cumulative error caused by the Z-axis heading angle integral drift of the gyroscope; The positioning module is used to obtain the longitude and latitude information in the geographic coordinate system; By combining four types of sensors, the suitcase has the ability to collect three-axis acceleration, three-axis angular velocity, three-axis magnetic field, three-axis angle data, and geographic location.

[0028] The present invention integrates high-precision gyroscopes, accelerometers and other sensors with personal luggage for the first time, and designs and creates a luggage that can collect luggage posture, collision data and location information.

[0029] Step 2: parse the acquired data to obtain parsed data; In this embodiment, the collected data is formatted and parsed and then stored in batches. The main data items after processing include: suitcase number, timestamp, X-axis acceleration, Y-axis acceleration, Z-axis acceleration, X-axis angular velocity, Y-axis angular velocity, Z-axis angular velocity, X-axis angle, Y-axis angle, Z-axis angle, longitude, and latitude.

[0030] Step 3: Obtain the time point data of each business link in the baggage transportation process; In this embodiment, the civil aviation passenger baggage security node data mainly includes the time point data of the business links such as consignment, sorting, loading, loading, transfer, arrival unloading, and collection.

[0031] Step 4: Determine the business link where the risk occurs by combining the luggage status data during the luggage transportation process, the time point data of each business link, and the constructed luggage transportation risk traceability; The specific steps include: Step 401: Calculate the time point based on the three-axis acceleration information of the suitcase t The luggage compartment collision risk factor; In this embodiment, the time point t The luggage compartment collision risk factor is calculated by summing the three-axis acceleration and then normalizing it based on data from multiple time points. The greater the acceleration of the XYZ axes, the greater the calculated value of the factor.

[0032] The calculation formula is: , in, For time pointt of x Axis acceleration, For time point t of y Axis acceleration, For time point t The z-axis acceleration, To find the maximum function, Business links x The start time, For business links x End time of Time t Luggage compartment collision risk factor It is mainly based on the sum of the three-axis acceleration and then normalized based on the data at multiple time points. The greater the acceleration of the three axes in the XYZ direction, the larger the calculated value of this factor.

[0033] Step 402: Calculate the time point based on the three-axis angle of the suitcase t The luggage posture risk factor; In this embodiment, the time point t Suitcase posture risk factor Logical calculations are performed based on the three-axis angle data of the suitcase as a whole. The closer the angle of each axis is to the set angle, such as 45 degrees, the greater the risk of improper placement of the suitcase, and the larger the calculated value of this factor.

[0034] The calculation formula is: , in, For time point t of x Axis angle, For time point t of y Axis angle, For time point t The z-axis angle, max is the maximum value sign; function is defined as: x Less than the threshold angle hour, ; x Greater than the threshold angle hour, , where mod is the remainder operator. The luggage placement angle threshold is set.

[0035] Step 403: Based on time point t Luggage compartment collision risk factors and timing tThe luggage posture risk factor is used to calculate the luggage damage risk index of each business link. , the calculation formula is: , In this embodiment, the luggage damage risk index For business links with sustained high risk, the time and location of risk events can be determined through location information and timestamps. After associating employee scheduling data, the responsible person or responsible team of the relevant security link can be further located.

[0036] Step 404: based on the baggage damage risk index of each business link of each terminal, draw a terminal baggage transportation quality matrix table and a baggage transportation quality change trend chart of the corresponding terminal; When drawing the terminal baggage transportation quality matrix, first obtain the list of flights guaranteed by the corresponding terminal that month, and calculate the baggage damage risk index of each flight corresponding to each business link based on the luggage collection data matched by the flight and the start and end time of each business link. , the baggage damage risk index of all business links of all flights The average of the number of flights is used to form the baggage damage risk index for the month corresponding to each business link of the terminal.

[0037] Among them, when drawing the trend chart of baggage transportation quality changes, based on the data of the terminal baggage transportation quality matrix table, the average of the baggage damage risk index of each business link of the terminal is used as the overall baggage damage risk index of the terminal for that month. At the same time, the business weight value of each terminal is determined according to indicators such as the business guarantee volume of each terminal. The monthly baggage damage risk index of all terminals is multiplied by the business weight and then summed and divided by the total weight to obtain the company's overall baggage damage risk index for each month. Table 1 shows the drawn terminal baggage transportation quality matrix table. Figure 3 The figure shows the trend of baggage transportation quality changes; by regularly calculating the baggage damage risk index of each link at each terminal , forming the terminal baggage transportation quality matrix table and baggage transportation quality change trend chart in the terminal dimension.

[0038] Table 1 Example of terminal baggage transportation quality matrix

[0039] The model analysis results can identify the airports and business links where the baggage damage risk index continues to be higher than the company's average and historical values ​​for the same period, providing precise direction and leverage for improving the quality of baggage transportation.

[0040] Step 405: Analyze the business links where the baggage damage risk index is higher than the set risk index threshold according to the terminal baggage transportation quality matrix table and the baggage transportation quality change trend chart, and determine the time and place where the risk business occurs according to the acquired positioning information and timestamp information.

[0041] In this embodiment, the risk index threshold is set based on: averaging the baggage damage risk index of each business link in the same period of the past three years to obtain the risk index threshold of the current business link.

[0042] The present invention integrates posture detection function and three-axis acceleration detection function with the luggage to realize a device and method for collecting posture and collision data of the whole process of luggage transportation. The invention locates the time, place and business link of improper luggage operation behavior through the luggage acceleration change data, combined with the luggage posture data and the time series data of each link in the aircraft operation, thus providing a new tool and method for luggage transportation quality control.

[0043] Embodiment 2 This embodiment provides a baggage transportation risk tracing system, including: A data acquisition module is used to obtain the three-axis acceleration, three-axis angular velocity and three-axis angle of the luggage during the luggage transportation process of each business link at each terminal; The risk index calculation module is used to calculate the luggage collision risk factor at any time according to the three-axis acceleration of the luggage, and calculate the luggage posture risk factor at any time according to the three-axis angle of the luggage; based on the luggage collision risk factor and luggage posture risk factor at any time, calculate the luggage damage risk index of each business link at each terminal; The risk tracing module is used to draw the terminal baggage transportation quality matrix table and the baggage transportation quality change trend chart of the corresponding terminal according to the baggage damage risk index of each business link in each terminal; according to the terminal baggage transportation quality matrix table and the baggage transportation quality change trend chart, the business links with baggage damage risk index higher than the set risk index threshold are analyzed, and the time and place of the risk business are determined.

[0044] In the data acquisition module, a gyroscope and an accelerometer are set on the suitcase, and the gyroscope is used to obtain the angular velocity of the suitcase rotating around the three axes XYZ. The angle is calculated by integrating the angular velocity with time, and the obtained angle change is added to the initial angle to obtain the target angle; The accelerometer is used to obtain the acceleration information of the suitcase around the three axes of XYZ.

[0045] In the risk tracing module, when drawing the terminal baggage transportation quality matrix table, obtain the list of flights guaranteed by the terminal that month, and calculate the baggage damage risk index of each business link corresponding to each flight based on the luggage collection data matched by the flights and the start and end time of each business link. The baggage damage risk index of each business link of all flights is averaged according to the number of flights to form the baggage damage risk index of the month corresponding to each business link of the terminal.

[0046] In the risk tracing module, when drawing the trend graph of baggage transport quality changes, based on the data in the terminal baggage transport quality matrix table, the average of the baggage damage risk index of each business link of the terminal is used as the overall baggage damage risk index of the terminal for that month. At the same time, the business weight value of each terminal is determined according to the business guarantee volume indicators of each terminal. The monthly baggage damage risk index of all terminals is multiplied by the business weight, and the sum is divided by the total weight to obtain the company's overall baggage damage risk index for each month.

[0047] The specific implementation process of each module is consistent with that of the first embodiment, and please refer to the process of the first embodiment for details.

[0048] Embodiment 3 This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the steps in the baggage transportation risk tracing method as described above are implemented.

[0049] Embodiment 4 This embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the steps in the baggage transportation risk tracing method described above are implemented.

[0050] Embodiment 5 This embodiment provides a program product, which is a computer program product, including a computer program. When the computer program is executed by a processor, the steps in the baggage transportation risk tracing method as described above are implemented.

[0051] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A luggage transportation risk tracing method, characterized in that: The steps include: Obtain the three-axis acceleration and three-axis angle of the luggage during the luggage transportation process in each business link of each terminal; According to the three-axis acceleration of the suitcase, the collision risk factor of the suitcase at any time is calculated, and according to the three-axis angle of the suitcase, the posture risk factor of the suitcase at any time is calculated; Based on the luggage collision risk factor and luggage posture risk factor at any time, calculate the luggage damage risk index of each business link at each terminal; According to the baggage damage risk index of each business link at each terminal, draw the terminal baggage transportation quality matrix table and baggage transportation quality change trend chart of the corresponding terminal; According to the terminal baggage transportation quality matrix table and the baggage transportation quality change trend chart, the business links where the baggage damage risk index is higher than the set risk index threshold are analyzed, and the time and place where the risky business occurs are determined.

2. A luggage transportation risk tracing method as claimed in claim 1, characterized in that: The baggage damage risk index for each business link at each terminal is as follows: ， ， ， in, is the luggage damage risk index of each business link, For any time t The luggage compartment collision risk factor is For any time t The luggage posture risk factor, For time point t of x Axis acceleration, For time point t of y Axis acceleration, For time point t The z-axis acceleration, To find the maximum function, Business links x The start time, For business links x The end time of For time point t of x Axis angle, For time point t of y Axis angle, For time point t The z-axis angle of the function The definition of is: x Less than the threshold angle hour, ,when x Greater than the threshold angle hour, , where mod is the remainder operator. The luggage placement angle threshold is set.

3. A luggage transportation risk tracing method as claimed in claim 1, characterized in that: When drawing the terminal baggage transportation quality matrix table, obtain the list of flights guaranteed by the terminal that month, calculate the baggage damage risk index of each business link corresponding to each flight based on the luggage collection data matched with the flights and the start and end times of each business link, and then average the baggage damage risk index of each business link of all flights according to the number of flights to form the baggage damage risk index of the month corresponding to each business link of the terminal.

4. A luggage transportation risk tracing method as claimed in claim 1, characterized in that: When drawing the baggage transport quality change trend chart, based on the data in the terminal baggage transport quality matrix table, the average of the baggage damage risk index of each business link of the terminal is used as the overall baggage damage risk index of the terminal for that month. At the same time, the business weight value of each terminal is determined according to the business guarantee volume indicators of each terminal. The monthly baggage damage risk index of all terminals is multiplied by the business weight, and the sum is divided by the total weight to obtain the company's overall baggage damage risk index for each month.

5. The luggage transportation risk tracing method according to claim 1, characterized in that: The business links include consignment, sorting, loading, installation, transit, arrival unloading and extraction business links.

6. A luggage transportation risk tracing system, characterized in that: include: The data acquisition module is used to obtain the three-axis acceleration and three-axis angle of the luggage during the luggage transportation process of each business link at each terminal; A risk index calculation module is used to calculate the collision risk factor of the suitcase at any time according to the three-axis acceleration of the suitcase, and to calculate the posture risk factor of the suitcase at any time according to the three-axis angle of the suitcase; Based on the luggage collision risk factor and luggage posture risk factor at any time, calculate the luggage damage risk index of each business link at each terminal; The risk tracing module is used to draw the terminal baggage transportation quality matrix table and the baggage transportation quality change trend chart of the corresponding terminal according to the baggage damage risk index of each business link in each terminal; according to the terminal baggage transportation quality matrix table and the baggage transportation quality change trend chart, the business links with baggage damage risk index higher than the set risk index threshold are analyzed, and the time and place of the risk business are determined.

7. A luggage transportation risk tracing system as claimed in claim 6, characterized in that: In the data acquisition module, a gyroscope and an accelerometer are set on the suitcase. The gyroscope is used to obtain the angular velocity of the suitcase rotating around the three axes X, Y, and Z. The angle is calculated by integrating the angular velocity with time. The obtained angle change is added to the initial angle to obtain the target angle. The accelerometer is used to obtain the acceleration information of the suitcase around the three axes of XYZ.

8. A luggage transportation risk tracing system as claimed in claim 6, characterized in that: In the risk tracing module, when drawing the terminal baggage transportation quality matrix table, obtain the list of flights guaranteed by the terminal that month, and calculate the baggage damage risk index of each business link corresponding to each flight based on the luggage collection data matched by the flights and the start and end time of each business link. The baggage damage risk index of each business link of all flights is averaged according to the number of flights to form the baggage damage risk index of the month corresponding to each business link of the terminal.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps in a baggage transportation risk tracing method as described in any one of claims 1 to 5 are implemented.

10. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps in the baggage transportation risk tracing method according to any one of claims 1 to 5 are implemented.

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