CN112561452B

CN112561452B - Goods tracking method based on international air transportation logistics APP

Info

Publication number: CN112561452B
Application number: CN202110188627.4A
Authority: CN
Inventors: 肖卿云; 王红雨
Original assignee: Shenzhen Pro Air Transport Co ltd
Current assignee: Shenzhen Pro Air Transport Co ltd
Priority date: 2021-02-19
Filing date: 2021-02-19
Publication date: 2021-05-14
Anticipated expiration: 2041-02-19
Also published as: CN112561452A

Abstract

The invention relates to a goods tracking method based on an international air freight logistics APP, which comprises the steps of receiving query instruction information of a user, wherein the query instruction information comprises waybill information of goods to be tracked; determining a current flight segment of the goods to be tracked according to the query instruction information, wherein the goods to be tracked is provided with a plurality of flight segments from a starting place to a destination, and adjusting the arrival time of the goods to be tracked according to the position of the current flight segment and weather information of other flight segments; and displaying the arrival time to a user to realize the tracking of the goods to be tracked. Through at the section of difference, consider the weather condition of other sections of difference to estimate the goods arrival time according to weather condition, make the goods arrival time who shows for the user more accord with actual conditions, the user of being convenient for adjusts the receipt goods plan according to the real-time status of goods, has improved the real-time and the transparency of information greatly, improves the accuracy of goods tracking.

Description

Goods tracking method based on international air transportation logistics APP

Technical Field

The invention relates to the field of logistics transportation, in particular to a goods tracking method based on an international air logistics APP.

Background

Along with the acceleration of global, industrialized and urbanized processes in China, social production, organization modes and living modes thereof are greatly changed, and the role and the position of the logistics industry in the development of the economic society are increasingly highlighted. Under the deepening of economic transformation and upgrading of China and the attention paid to the electronic commerce, the electronic commerce is about to develop a new trend. And logistics has the advantages of low cost, quick delivery and the like, and can deeply influence a plurality of fields of the national civilization.

However, in the actual freight transportation process, the user can obtain information such as the starting place, the destination, the flight number, the arrival time and the like of the goods according to the freight bill number, but in the actual transportation process, if delay or other sudden situations occur, the user cannot know the state of the goods, the determination of the arrival time of the goods is determined according to the distance and cannot be adjusted according to the actual situation, so that the arrival time obtained by the user is inaccurate, only relevant workers can be waited to inform the goods arrival rear side that goods can be scheduled to get goods, inconvenience is brought to the client to a certain extent, and even actual property loss can be caused by the fact that the goods information cannot be obtained in time.

Disclosure of Invention

Therefore, the invention provides a goods tracking method based on the international air logistics APP, which can adjust the arrival time in real time according to the weather condition of a navigation section, is convenient for a user to track goods in real time, and reduces the loss caused by untimely goods acquisition of the user.

In order to achieve the purpose, the invention provides a cargo tracking method based on an international air cargo logistics APP, which comprises the following steps: receiving query instruction information of a user, wherein the query instruction information comprises waybill information of goods to be tracked;

determining a current flight segment of the goods to be tracked according to the query instruction information, wherein the goods to be tracked is provided with a plurality of flight segments from a starting place to a destination, and adjusting the arrival time of the goods to be tracked according to the position of the current flight segment and weather information of other flight segments;

displaying the arrival time to a user to realize the tracking of the goods to be tracked;

in the process of cargo tracking, a cargo position matrix L (L1, L2, L3 and L4) is set, wherein L1 represents a first flight segment, L2 represents a second flight segment, L3 represents a third flight segment, L4 represents a fourth flight segment, and the cargo to be tracked passes through the first flight segment, the second flight segment, the third flight segment and the fourth flight segment from the beginning to the destination in sequence;

if the goods to be tracked are located in the first flight segment, acquiring weather information of the second flight segment L2, the third flight segment L3 and the fourth flight segment L4, and deducing arrival time of the goods to be tracked according to the weather information;

if the goods to be tracked are located in the second flight, deducing the arrival time of the goods to be tracked according to the weather information of the third flight and the fourth flight;

if the goods to be tracked are located in a third flight, deducing the arrival time of the goods to be tracked according to the weather information of the fourth flight;

if the goods to be tracked are located in a fourth flight segment, deducing the arrival time of the goods to be tracked according to the real-time weather of the fourth flight segment;

in any flight segment, according to a weather influence coefficient matrix I (I1, I2, I3 and I4) and a time extension matrix T (T1, T2 and T3) arranged in a central control unit, wherein I1 represents that the average cloud cover rate of the current flight segment reaches over 80 percent, the flight difficulty is extremely high, and I2 represents that the cloud cover rate of the current flight segment is 60 to 80 percent, and the flight difficulty is high; i3 shows that the average cloud cover rate of the current flight segment is 30-60%, and the flight difficulty is general; i4 shows that the average cloud cover rate of the current voyage is below 30%, the flight difficulty is small, T1 shows that the arrival time needs to be prolonged by a first time, T2 shows that the arrival time needs to be prolonged by a second time, T3 shows that the arrival time needs to be prolonged by a third time, and T1> T2> T3;

in the cargo tracking process, prolonging the predicted arrival time according to the average cloud cover rate of the current flight segment;

the extending the predicted arrival time according to the average cloud cover rate of the current leg comprises: if the average cloud cover rate of the current voyage section is more than 80%, the original time for reaching the destination needs to be prolonged by the first time;

if the cloud cover rate of the current flight segment is 60% -80% of the average cloud cover rate, the original time for reaching the destination needs to be prolonged by a second time;

if the average cloud cover rate of the current voyage section is 30% -60%, the original time for reaching the destination needs to be prolonged by a third time;

if the average cloud cover rate of the current voyage section is below 30%, the destination can be reached on time without prolonging the arrival time;

when the average cloud cover rate of the current voyage is determined, the average cloud cover rate of the current voyage is adjusted according to the real-time wind speed, and when the cloud cover rate is adjusted and adjusted, parameters in a wind speed matrix in the central control unit are compensated according to the landform average altitude corresponding to the voyage where the goods to be tracked are located, and then the average cloud cover rate of the current voyage is determined.

Further, when the average cloud cover rate of the current leg is determined, adjusting the average cloud cover rate of the current leg according to the real-time wind speed includes: in the process of tracking the goods, the real-time wind speed Vi of the position of the goods to be tracked is obtained in real time, according to the standard wind speed V0 set in the central control unit, if the real-time wind speed Vi is less than or equal to the standard wind speed V0, the average cloud cover of the current flight segment is not affected, when the real-time wind speed Vi is greater than the standard wind speed V0, the central control unit is provided with a wind speed matrix V (V10, V20 and V30), wherein V10 represents a first wind speed, V20 represents a second wind speed, V30 represents a third wind speed, and V0 is greater than V10 and less than V20 and less than V30,

when detecting the real-time wind speed, an unmanned leading machine is arranged, the unmanned leading machine sails in the navigation section, the unmanned leading machine flies for 2 hours before the goods to be tracked, a wind speed detector is arranged on the body of the unmanned leading machine and used for detecting the wind speed of the unmanned leading machine, the real-time wind speed Vi of the position of the goods to be tracked is predicted according to the wind speed of the unmanned leading machine, the time interval and the weather change condition,

when the first wind speed V10 is larger than or equal to the real-time wind speed Vi and larger than the standard wind speed V0, the average cloud cover rate of the current voyage section is reduced by 10%;

when the second wind speed V20 is greater than or equal to the real-time wind speed Vi and greater than the first wind speed V10, the average cloud cover rate of the current voyage section is reduced by 20%;

when the third wind speed V30 is greater than or equal to the real-time wind speed Vi and greater than the second wind speed V20, the average cloud cover rate of the current voyage is reduced by 30%;

when the real-time wind speed Vi > the third wind speed V30, the average cloud cover of the current voyage is reduced by 40%.

Furthermore, when the unmanned leading pilot and the goods to be tracked are navigated in the air section, the air route where the unmanned leading pilot is located is set as a first air route, the air route where the goods to be tracked are located is set as a second air route, after the first air route and the second air route are projected, the first air route and the second air route comprise three nodes which are respectively a first node, a second node and a third node, a projection area of a first area is formed between the first node and the second node, a projection area of a second area is formed between the second node and the third node,

and when the goods to be tracked reach the third node, determining the difference value between the first projection area and the second projection area, if the difference value is smaller than a preset standard difference value delta G, adjusting the route in the transportation process of the next goods to be tracked without adjusting the route, and if the difference value between the first projection area and the second projection area is larger than or equal to the preset standard difference value delta G, adjusting the route when the next goods to be tracked is tracked.

Further, when the air route is adjusted, if the goods to be tracked reach the second node, comparing the projected area G1 of the first area with a preset first standard area G00, and if the projected area G1 of the first area is larger than or equal to the first standard area G00, changing a navigation path between the second node and the third node to be tracked, so that the projected area of the second area formed by the navigation path is reduced, and the path of the goods to be tracked in the navigation process is shortened.

Further, when adjusting and renovating the cloud cover, after compensating parameters in a wind speed matrix in the central control unit according to the average landform altitude corresponding to the leg where the cargo to be tracked is located, determining the average cloud cover rate of the current leg includes: a wind speed compensation matrix K (K1, K2, K3) is also arranged in the central control unit, wherein K1 represents a first wind speed compensation coefficient, K2 represents a second wind speed compensation coefficient, and K3 represents a third wind speed compensation coefficient;

when the average height H of the landform corresponding to the ship section where the goods to be tracked are located is higher than a preset height H0, a wind speed matrix in the central control unit is compensated, the compensated wind speed matrix V00 (K1 × V10, K2 × V20, K3 × V30) is compensated, then the real-time wind speed Vi is compared with parameters in the compensated wind speed matrix V00 (K1 × V10, K2 × V20, K3 × V30), and then the average cloud cover rate of the current ship section is determined.

Further, the air conditioner is provided with a fan,

the calculation method of the first wind speed compensation coefficient K1 is as follows:

K1=|H-H0|/H0+3×T1/(T1+T2+T3)+|Vi-V0|/V10;

the calculation method of the second wind speed compensation coefficient K2 is as follows:

K2=|H-H0|/H0+3×T2/(T1+T2+T3)+|Vi-V0|/V20;

the calculation method of the third wind speed compensation coefficient K3 is as follows:

K3=|H-H0|/H0+3×T3/(T1+T2+T3)+|Vi-V0|/V30。

further, a weight coefficient matrix C (C1, C2, C3) is provided in the central control unit, wherein C1 represents an altitude coefficient, C2 represents a time length coefficient, C3 represents a wind speed coefficient, and C1+ C2+ C3=1,

the weight coefficient matrix is used for correcting the first wind speed compensation coefficient, the second wind speed compensation coefficient and the third wind speed compensation coefficient, and when the first wind speed compensation coefficient K1 is greater than the standard wind speed compensation coefficient K0, the corrected first wind speed compensation coefficient K1' is:

K1′=C1×|H-H0|/H0+3×T1×C2/(T1+T2+T3)+|Vi-V0|×C3/V10;

when the second wind speed compensation coefficient K2> the standard wind speed compensation coefficient K0, the corrected second wind speed compensation coefficient K2' is:

K2′=C1×|H-H0|/H0×3+3×T2×C2/(T1+T2+T3)+|Vi-V0|×C3/V20;

when the third wind speed compensation coefficient K3> the standard wind speed compensation coefficient K0, the corrected third wind speed compensation coefficient K3' is:

K3′=C1×|H-H0|/H0+3×T3×C2/(T1+T2+T3)+|Vi-V0|×C3/V30。

further, an article type matrix a (a1, a2, A3, A4, A5) and a time correction coefficient matrix S (S1, S2, S3, S4, S5) are further provided in the central control unit, where a1 indicates that the article to be tracked is of the first type, a2 indicates that the article to be tracked is of the second type, A3 indicates that the article to be tracked is of the third type, A4 indicates that the article to be tracked is of the fourth type, A5 indicates that the article to be tracked is of the fifth type, S1 indicates a first correction coefficient, S1 indicates a second correction coefficient, S1 indicates a third correction coefficient, S1 indicates a fourth correction coefficient, S1 indicates a fifth correction coefficient, and parameters in the time correction coefficient matrix S (S1, S1) are selected according to the type to which the article to be tracked.

Further, when the cargo to be tracked belongs to the first category, correcting the time extension matrix by using S1 in the time correction coefficient matrix S (S1, S2, S3, S4, S5), wherein the corrected time extension matrix is T11(S1 × T1, S1 × T2, S1 × T3);

when the cargo to be tracked belongs to the second category, correcting the time extension matrix by using S2 in the time correction coefficient matrix S (S1, S2, S3, S4 and S5), wherein the corrected time extension matrix is T22(S2 × T1, S2 × T2 and S2 × T3);

when the cargo to be tracked belongs to the third category, correcting the time extension matrix by using S3 in the time correction coefficient matrix S (S1, S2, S3, S4 and S5), wherein the corrected time extension matrix is T33(S3 × T1, S3 × T2 and S3 × T3);

when the cargo to be tracked belongs to the fourth category, correcting the time extension matrix by using S4 in the time correction coefficient matrix S (S1, S2, S3, S4 and S5), wherein the corrected time extension matrix is T44(S4 × T1, S4 × T2 and S4 × T3);

when the cargo to be tracked belongs to the fifth category, the time extension matrix is corrected by using the S5 in the time correction coefficient matrix S (S1, S2, S3, S4 and S5), and the corrected time extension matrix is T55(S5 × T1, S5 × T2 and S5 × T3).

Further, the first correction coefficient S1= a × (T2-T1)/(T1+ T2+ T3) + B × (V20-V10)/(V10+ V20+ V30);

the second correction coefficient S2= a × (T2-T1)/(T1+ T2+ T3) + B × (V30-V20)/(V10+ V20+ V30);

the third correction coefficient S3= a × (T3-T1)/(T1+ T2+ T3) + B × (V30-V10)/(V10+ V20+ V30);

the fourth correction coefficient S4= a × (T3-T1)/(T1+ T2+ T3) + B × (V20-V10)/(V10+ V20+ V30);

the fifth correction coefficient S5= a × (T3-T2)/(T1+ T2+ T3) + B × (V20-V10)/(V10+ V20+ V30), a is a time correction weight coefficient, and B is a wind speed correction weight coefficient.

Further, when the cargo species is determined, secondarily correcting the time extension matrix according to the section where the cargo to be tracked is located, and when the cargo to be tracked belongs to the first type and the current section is the first section, doubly correcting the time extension matrix by using S1 in the time correction coefficient matrix S (S1, S2, S3, S4, S5), wherein the corrected time extension matrix is T11' (2 × S1 × T1, 2 × S1 × T2, 2 × S1 × T3);

when the cargo to be tracked belongs to the first category and the current leg is the second leg, doubly correcting the time extension matrix by using S1 in a time correction coefficient matrix S (S1, S2, S3, S4, S5), wherein the corrected time extension matrix is T11' (3 × S1 × T1, 3 × S1 × T2, 3 × S1 × T3);

when the cargo to be tracked belongs to the first category and the current leg is the third leg, doubly correcting the time extension matrix by using S1 in a time correction coefficient matrix S (S1, S2, S3, S4, S5), wherein the corrected time extension matrix is T11' (4 × S1 × T1, 4 × S1 × T2, 4 × S1 × T3);

when the cargo to be tracked belongs to the first category and the current leg is the fourth leg, the time extension matrix is doubly corrected by using S1 in the time correction coefficient matrix S (S1, S2, S3, S4, S5), and the corrected time extension matrix is T11' (5 × S1 × T1, 5 × S1 × T2, 5 × S1 × T3).

Further, a customer satisfaction time length T00 is further arranged in the central control unit, the extended time is determined according to the flight segment where the goods to be tracked are located, when the arrival time is added with the corresponding extended time, the extended time length is compared with the customer satisfaction time length, and if the arrival time is less than or equal to the customer satisfaction time length after being added with the corresponding extended time, the transportation of the goods to be tracked is within the customer satisfaction range;

and if the sum of the arrival time and the corresponding extension time is longer than the customer satisfaction time, the transportation of the goods to be tracked is out of the customer satisfaction range.

Compared with the prior art, the method and the device have the advantages that the weather states of different other navigation sections are considered in different navigation sections, and the arrival time of the goods is estimated according to the weather states, so that the arrival time of the goods displayed to a user is more consistent with the actual situation, the user can conveniently adjust a goods receiving plan according to the real-time state of the goods, the real-time performance and the transparency of information are greatly improved, and the accuracy of goods tracking is improved.

Particularly, different reduction ranges of the average cloud cover rate are set through different wind speeds, so that the influence of the wind speeds on the cloud cover rate is more visual, the extension time of the arrival time is conveniently determined according to the cloud cover rate, the influence of the wind speeds on the cloud cover rate is indirectly realized, the arrival time displayed to a client in the embodiment of the invention is more in line with the actual situation in the transportation process, the arrival time determined according to the wind speeds and the cloud cover rate is more accurate, and the user can conveniently receive goods.

Especially, the wind speed compensation matrix K (K1, K2, K3) is set according to the influence of the difference of the average altitude of different landforms on the wind speed, the wind speed is compensated by setting the wind speed compensation matrix, so that the wind speed is more consistent with the actual landform situation, the real-time wind speed of the goods to be tracked in the actual transportation process can influence the transportation speed, the influence of the wind speed on the average cloud coverage rate is redetermined by compensating the wind speed, the flight difficulty in the goods transportation process can be more accurately evaluated, the arrival time of the goods to be tracked in the transportation process is more accurately judged, and more accurate data can be provided for users.

In particular, the first, second and third wind speed compensation coefficients K1, K2 and K3 in the embodiment of the present invention are each determined according to the average altitude of the leg, the extension time of the arrival time and the wind speed, so that the compensation for the wind speed is more accurate, the actual relation can be established according to the parameters which have the incidence relation to the wind speed, so that the compensation of the wind speed can reflect the weather conditions in the transportation process, particularly the landform altitude of a flight section, which is a factor influencing the wind speed, the actual wind speed and the arrival time related to the wind speed, the wind speed compensation method and the wind speed compensation device have the advantages that by setting the compensation parameters, the wind speed is compensated, and the extended time of the arrival time is indirectly corrected more accurately according to the influence of the wind speed on the average cloud cover rate, so that the arrival time of the goods to be tracked, which is acquired by a user, is more accurate.

Particularly, the embodiment of the invention corrects the time extension matrix of different kinds of goods, so that the judgment on the arrival time of the goods to be tracked is more accurate, the user requirement is met, and the user can receive the goods according to the accurate arrival time of the goods.

Drawings

Fig. 1 is a flowchart of a cargo tracking method based on an international air cargo logistics APP according to an embodiment of the present invention;

fig. 2 is a schematic structural diagram of an unmanned leader in a cargo tracking method based on an international air cargo logistics APP according to an embodiment of the present invention;

FIG. 3 is a top view layout of an unmanned lead route and a cargo route to be tracked.

Detailed Description

In order that the objects and advantages of the invention will be more clearly understood, the invention is further described below with reference to examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and do not limit the scope of the present invention.

Referring to fig. 1, a cargo tracking method based on an international air cargo stream APP according to an embodiment of the present invention includes:

s100, receiving query instruction information of a user, wherein the query instruction information comprises waybill information of goods to be tracked;

s200, determining a current flight segment of the goods to be tracked according to the query instruction information, wherein the goods to be tracked is provided with a plurality of flight segments from a starting place to a destination, and adjusting the arrival time of the goods to be tracked according to the position of the current flight segment and the weather information of other flight segments;

and S300, displaying the arrival time to a user to realize the tracking of the goods to be tracked.

In step S200, in the cargo tracking process, a cargo position matrix L (L1, L2, L3, L4) is set, where L1 represents a first flight segment, L2 represents a second flight segment, L3 represents a third flight segment, and L4 represents a fourth flight segment, and the cargo to be tracked passes through the first flight segment, the second flight segment, the third flight segment, and the fourth flight segment from the beginning to the destination in sequence;

in the process of obtaining the tracking, if the average cloud cover rate of the current voyage section is more than 80%, the original time for reaching the destination needs to be prolonged by the first time;

if the average cloud cover rate of the current voyage section is below 30%, the destination can be reached on time without prolonging the arrival time.

Specifically, in the process of transporting goods, transfer is needed, in the embodiment of the invention, the transportation route of the goods to be tracked is divided into a plurality of route sections, the distance of each route section can be different or the same, the goods to be tracked can stay between the route sections for transfer, or can directly enter the next route section without stay, and the invention is not limited and is subject to actual realization. In the actual transportation process, the transportation time is different, the weather states are also different, and in the dynamic change process of the weather, the transportation time of the goods to be transported is also influenced, and the technical personnel in the field can understand that the transportation time can be determined by the type of the goods to be tracked, and when the goods to be tracked are cold chain transportation goods, the transportation time is too long, which is not beneficial to the storage of the goods and increases the storage cost; for other goods types which have not high requirements on the transportation time, the problem of storage cost does not need to be considered, and only normal transportation and storage are needed. In the actual transportation process, the average wind speeds of different flight segments also have influence on the change of weather, and different terrain altitudes also have certain influence on the wind speeds.

Specifically, the embodiment of the invention determines parameters in a time extension matrix T (T1, T2, T3) as the extension time of the arrival time through a weather influence coefficient matrix I (I1, I2, I3, I4) and a cargo position matrix L (L1, L2, L3, L4) arranged in a central control unit, when the cargo to be tracked is in any flight segment, according to the weather influence coefficient matrix I (I1, I2, I3, I4) and the time extension matrix T (T1, T2, T3) arranged in the central control unit, wherein I1 indicates that the average cloud cover rate of the current flight segment is more than 80%, the flight difficulty is extremely high, and I2 indicates that the cloud cover rate of the current segment is 60% -80%, and the flight difficulty is large; i3 shows that the average cloud cover rate of the current flight segment is 30-60%, and the flight difficulty is general; i4 shows that the average cloud cover rate of the current voyage is below 30%, the flight difficulty is small, T1 shows that the arrival time needs to be prolonged by a first time, T2 shows that the arrival time needs to be prolonged by a second time, T3 shows that the arrival time needs to be prolonged by a third time, and T1> T2> T3;

in the process of cargo tracking, if the average cloud cover rate of the current voyage section is more than 80%, the original time to reach the destination needs to be prolonged by a first time T1;

if the cloud amount of the current flight segment is that the average cloud amount coverage rate reaches 60% -80%, the original time for reaching the destination needs to be prolonged by a second time T2;

if the average cloud cover rate of the current voyage section is 30% -60%, the original time for reaching the destination needs to be prolonged by a third time T3;

Specifically, the embodiment of the invention considers the weather states of different other flight sections in different flight sections and evaluates the arrival time of the goods according to the weather states, so that the arrival time of the goods displayed to the user is more consistent with the actual situation, the user can conveniently adjust the goods receiving plan according to the real-time state of the goods, the real-time property and the transparency of information are greatly improved, and the accuracy of goods tracking is improved.

Specifically, in the process of tracking the goods, the real-time wind speed Vi of the position of the goods to be tracked is obtained in real time, according to the standard wind speed V0 set in the central control unit, if the real-time wind speed Vi is less than or equal to the standard wind speed V0, the average cloud cover of the current flight segment is not affected, when the real-time wind speed Vi > the standard wind speed V0, the central control unit is provided with a wind speed matrix V (V10, V20, V30), wherein V10 represents a first wind speed, V20 represents a second wind speed, V30 represents a third wind speed, and V0< V10< V20< V30,

as shown in fig. 2, when detecting the real-time wind speed, an unmanned leading machine 100 is provided, the unmanned leading machine navigates in the flight segment, the unmanned leading machine flies for 2 hours before the goods to be tracked, a wind speed detector 101 is provided on the body of the unmanned leading machine to detect the wind speed of the unmanned leading machine, the real-time wind speed Vi of the location of the goods to be tracked is predicted according to the wind speed of the unmanned leading machine, the time interval and the weather change,

Specifically, the average cloud cover rate of the current segment is adjusted and optimized according to the real-time wind speed condition, so that when the wind speed is high, the influence on the cloud cover rate is large, the cloud cover rate can be reduced when the wind speed is high, and the influence on the cloud cover rate is small when the wind speed is low, so that when the wind speed is high, the average cloud cover rate of the segment is reduced in adaptability, flight is facilitated, the transportation speed is increased, the weather state is good, and the time for reaching a destination is reduced.

Specifically, when the unmanned lead aircraft and the goods to be tracked navigate on the segment, as shown in fig. 3, L10 is a first route of the unmanned lead aircraft, L20 is a second route of the goods to be tracked, during the navigation, routes L10 and L20 have a first node J1, a second node J2 and a third node J3, the times of the unmanned lead aircraft and the goods to be tracked passing through the first node, the second node and the third node are different, during the actual navigation, G1 represents the projected area of a first region formed between the first node and the second node, and G2 represents the projected area of a second region formed between the second node and the third node;

specifically, in the embodiment of the present invention, when the cargo to be tracked reaches the third node J3, the difference between the first projection area and the second projection area is determined, if the difference is smaller than the preset standard difference Δ G, no adjustment is required to the flight path during transportation of the next cargo to be tracked, and if the difference between the first projection area and the second projection area is greater than or equal to the preset standard difference Δ G, the flight path is adjusted during tracking of the first cargo to be tracked, so as to increase the arrival speed of the cargo to be tracked.

When the air route is adjusted, if the goods to be tracked reach the second node, comparing the projected area G1 of the first area with a preset first standard area G00, and if the projected area G1 of the first area is larger than or equal to the first standard area G00, changing a navigation path between the second node and the third node to be tracked, so that the projected area of the second area formed by the navigation path is reduced, the path of the goods to be tracked in the navigation process is shortened, and the arrival speed of the goods to be tracked is further improved.

The first air route and the second air route in the embodiment of the invention have a certain height difference, and the wind speed of the second air route can be predicted according to the first air route.

Specifically, when the real-time wind speed Vi > the standard wind speed V0, the central control unit is provided with a wind speed matrix V (V10, V20 and V30), wherein V10 represents a first wind speed, V20 represents a second wind speed, V30 represents a third wind speed, V0< V10< V20< V30, and when the first wind speed V10 is larger than or equal to the real-time wind speed Vi > the standard wind speed V0, the average cloud cover rate of the current voyage is reduced by 10%; when the second wind speed V20 is greater than or equal to the real-time wind speed Vi and greater than the first wind speed V10, the average cloud cover rate of the current voyage section is reduced by 20%; when the third wind speed V30 is greater than or equal to the real-time wind speed Vi and greater than the second wind speed V20, the average cloud cover rate of the current voyage is reduced by 30%; when the real-time wind speed Vi is larger than the third wind speed V30, the average cloud cover rate of the current voyage is reduced by 40%, different reduction ranges of the average cloud cover rate are set through different wind speeds, so that the influence of the wind speed on the cloud cover rate is more visual, the extension time of the arrival time is conveniently determined according to the cloud cover rate, the influence of the wind speed and the arrival time is indirectly realized by considering the influence of the wind speed on the cloud cover rate, and the arrival time displayed to a client in the embodiment of the invention is more in line with the actual situation in the transportation process.

Specifically, a wind speed compensation matrix K (K1, K2, K3) is also arranged in the central control unit, wherein K1 represents a first wind speed compensation coefficient, K2 represents a second wind speed compensation coefficient, and K3 represents a third wind speed compensation coefficient;

Particularly, wind speed compensation matrix K (K1, K2, K3) is set according to the influence of the difference of the average altitude height of different landforms on the wind speed, compensate the wind speed matrix by setting the wind speed compensation matrix, so that the wind speed is more consistent with the actual landform situation, further the real-time wind speed of the goods to be tracked in the actual transportation process can influence the transportation speed, and compensate the wind speed, the influence of the wind speed on the average cloud coverage rate is redetermined, so that the flight difficulty in the goods transportation process can be more accurately evaluated, more accurate judgment is carried out on the arrival time of the goods to be tracked in the transportation process, and more accurate data can be conveniently provided for users.

Specifically, the first wind speed compensation coefficient K1 is:

K1=|H-H0|/H0+3×T1/(T1+T2+T3)+|Vi-V0|/V10，

the second wind speed compensation coefficient K2 is as follows:

K2=|H-H0|/H0+3×T2/(T1+T2+T3)+|Vi-V0|/V20，

the third wind speed compensation coefficient K3 is:

K3=|H-H0|/H0+3×T3/(T1+T2+T3)+|Vi-V0|/V30。

specifically, the first, second, and third wind speed compensation coefficients K1, K2, and K3 in the embodiment of the present invention are each determined according to the average altitude of the leg, the extension time of the arrival time, and the wind speed, so that the compensation for the wind speed is more accurate, the actual relation can be established according to the parameters which have the incidence relation to the wind speed, so that the compensation of the wind speed can reflect the weather conditions in the transportation process, particularly the landform altitude of a flight section, which is a factor influencing the wind speed, the actual wind speed and the arrival time related to the wind speed, the wind speed compensation method and the wind speed compensation device have the advantages that by setting the compensation parameters, the wind speed is compensated, and the extended time of the arrival time is indirectly corrected more accurately according to the influence of the wind speed on the average cloud cover rate, so that the arrival time of the goods to be tracked, which is acquired by a user, is more accurate.

Specifically, a weight coefficient matrix C (C1, C2, C3) is provided in the central control unit, wherein C1 represents an altitude coefficient, C2 represents a time length coefficient, C3 represents a wind speed coefficient, and C1+ C2+ C3=1,

the weight coefficient matrix is used for correcting the first wind speed compensation coefficient, the second wind speed compensation coefficient and the third wind speed compensation coefficient,

when the first wind speed compensation coefficient K1> the standard wind speed compensation coefficient K0, the calculation method of the corrected first wind speed compensation coefficient K1' is as follows:

K1′=C1×|H-H0|/H0+3×T1×C2/(T1+T2+T3)+|Vi-V0|×C3/V10;

when the second wind speed compensation coefficient K2> the standard wind speed compensation coefficient K0, the calculation method of the corrected second wind speed compensation coefficient K2' is as follows:

K2′=C1×|H-H0|/H0+3×T2×C2/(T1+T2+T3)+|Vi-V0|×C3/V20;

when the third wind speed compensation coefficient K3> the standard wind speed compensation coefficient K0, the calculation method of the corrected third wind speed compensation coefficient K3' is as follows:

K3′=C1×|H-H0|/H0+3×T3×C2/(T1+T2+T3)+|Vi-V0|×C3/V30。

according to the embodiment of the invention, the wind speed is compensated by setting the weight coefficient matrix, the weight coefficient is set according to the altitude, the extension time and the specific gravity of the influence of the wind speed on the wind speed compensation coefficient, the extension time of the arrival time is indirectly corrected more accurately, and the accuracy of the arrival time of the goods to be tracked, which is acquired by a user, is further improved.

Specifically, an article type matrix a (a1, a2, A3, A4, A5) and a time correction coefficient matrix S (S1, S2, S3, S4, S5) are further provided in the central control unit, where a1 indicates that an article to be tracked is of a first type, a2 indicates that an article to be tracked is of a second type, A3 indicates that an article to be tracked is of a third type, A4 indicates that an article to be tracked is of a fourth type, A5 indicates that an article to be tracked is of a fifth type, S1 indicates a first correction coefficient, S1 indicates a second correction coefficient, S1 indicates a third correction coefficient, S1 indicates a fourth correction coefficient, S1 indicates a fifth correction coefficient, and parameters in the time correction coefficient matrix S (S1, S1) are selected according to the type to which the article to be tracked belongs.

Specifically, when the cargo to be tracked belongs to the first category, the time extension matrix is corrected by using S1 in the time correction coefficient matrix S (S1, S2, S3, S4, S5), and the corrected time extension matrix is T11(S1 × T1, S1 × T2, S1 × T3);

Specifically, for different types of goods to be tracked, the time extension time needs to be corrected, the types of the goods to be tracked can be various, for example, cold chain seafood products, fruits, wine, documents and other goods are not listed, the requirements of different types of goods on transportation time limit are different, in the embodiment of the invention, the correction can be performed according to the emergency degree of the goods to be tracked, and the correction can be performed according to other characteristics related to the types, such as storage difficulty, in short, the embodiment of the invention performs the correction according to the types of the goods, and the classification of the types of the goods can be based on the storage difficulty, the transportation time limit and the like, or other situations, and in no case, the embodiment of the invention performs the correction of the time extension matrix on the different types of goods, the judgment on the arrival time of the goods to be tracked is more accurate, the user needs are met, and the user can receive the goods according to the accurate arrival time of the goods.

Specifically, the first correction coefficient S1 is:

S1=A×(T2-T1)/(T1+T2+T3)+B×(V20-V10)/(V10+V20+V30);

the second correction coefficient S2 is:

S2=A×(T2-T1)/(T1+T2+T3)+B×(V30-V20)/(V10+V20+V30);

the third correction coefficient S3 is:

S3=A×(T3-T1)/(T1+T2+T3)+B×(V30-V10)/(V10+V20+V30);

the fourth correction coefficient S4 is:

S4=A×(T3-T1)/(T1+T2+T3)+B×(V20-V10)/(V10+V20+V30);

the fifth correction coefficient S5 is:

S5=A×(T3-T2)/(T1+T2+T3)+B×(V20-V10)/(V10+V20+V30)，

wherein, A is a time correction weight coefficient, and B is a wind speed correction weight coefficient.

Specifically, the embodiment of the invention sets different correction coefficients to correct the best of different kinds of cargos, so that the time of the cargos in the transportation process can be more accurate.

Specifically, when the cargo species is determined, secondarily correcting the time extension matrix according to the flight segment where the cargo to be tracked is located, and when the cargo to be tracked belongs to the first type and the current flight segment is the first flight segment, doubly correcting the time extension matrix by using S1 in a time correction coefficient matrix S (S1, S2, S3, S4, S5), wherein the corrected time extension matrix is T11' (2 × S1 × T1, 2 × S1 × T2, 2 × S1 × T3);

Specifically, the time extension matrix is corrected again when the goods to be tracked are in different flight legs, if the distance from the destination is long, the corrected extension time is short, the goods can arrive at the destination as soon as possible through adjustment of other flight legs in the actual transportation process, and when the distance from the destination is short, the adjusted time is short, timely adjustment cannot be performed, and the correction of the time extension matrix needs to be increased.

Specifically, a customer satisfaction time length T00 is further arranged in the central control unit, the extended time is determined according to the flight segment where the goods to be tracked are located, when the arrival time is added with the corresponding extended time, the extended time length is compared with the customer satisfaction time length, and if the arrival time is less than or equal to the customer satisfaction time length after being added with the corresponding extended time, the transportation of the goods to be tracked is within the customer satisfaction range;

Specifically, according to the embodiment of the invention, the customer satisfaction time length T00 is set, so that after the estimated arrival time length is added with the corresponding extension time, the estimated arrival time length is compared with the customer satisfaction time length T00, whether the arrival time length adjusted according to factors such as weather conditions, terrain altitude and wind speed can be satisfied by the customer is determined, and as the satisfaction degree requirement of the goods agent company for the customer is gradually increased along with the development of logistics technology, the adjusted arrival time length can be within the customer satisfaction time length T00 as much as possible in the actual transportation process, so that the customer can receive goods within the expected time length, the waiting time is reduced, the maintenance cost and the storage cost in the transportation process are further reduced, and the transportation efficiency is improved.

So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.

The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention; various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A cargo tracking method based on an international air cargo logistics APP is characterized by comprising the following steps:

receiving query instruction information of a user, wherein the query instruction information comprises waybill information of goods to be tracked;

determining a current flight segment of the goods to be tracked according to the query instruction information, setting a plurality of flight segments from a starting place to a destination of the goods to be tracked, and adjusting the arrival time of the goods to be tracked according to the position of the current flight segment and weather information of other flight segments;

if the goods to be tracked are located in the first flight segment, acquiring weather information of a second flight segment L2, a third flight segment L3 and a fourth flight segment L4, and deducing arrival time of the goods to be tracked according to the weather information;

if the goods to be tracked are located in the second flight segment, deducing the arrival time of the goods to be tracked according to the weather information of the third flight segment and the fourth flight segment;

if the goods to be tracked are located in the third flight, deducing the arrival time of the goods to be tracked according to the weather information of the fourth flight;

if the goods to be tracked are located in the fourth flight, the arrival time of the goods to be tracked is deduced according to the real-time weather of the fourth flight;

in any flight segment, a weather influence coefficient matrix I (I1, I2, I3 and I4) and a time extension matrix T (T1, T2 and T3) are arranged in the central control unit, wherein I1 represents that the average cloud cover rate of the current flight segment is more than 80 percent, the flight difficulty is extremely high, I2 represents that the cloud cover rate of the current flight segment is more than 60 percent and less than or equal to 80 percent, and the flight difficulty is high; i3 shows that the average cloud cover rate of the current flight segment is more than or equal to 30% and less than or equal to 60%, and the flight difficulty is general; i4 shows that the average cloud cover rate of the current flight segment is less than 30%, the flight difficulty is small, T1 shows that the arrival time needs to be prolonged by a first time, T2 shows that the arrival time needs to be prolonged by a second time, T3 shows that the arrival time needs to be prolonged by a third time, and T1> T2> T3;

if the cloud cover rate of the current flight segment is more than 60% and less than or equal to 80%, the original time for reaching the destination needs to be prolonged by a second time;

if the average cloud cover rate of the current voyage section is more than or equal to 30% and less than or equal to 60%, the original time for reaching the destination needs to be prolonged by a third time;

if the average cloud cover rate of the current voyage section is less than 30%, the destination can be reached on time without prolonging the arrival time; when the average cloud cover rate of the current voyage is determined, the average cloud cover rate of the current voyage is adjusted according to the real-time wind speed, and when the cloud cover rate is adjusted and adjusted, parameters in a wind speed matrix in the central control unit are compensated according to the landform average altitude corresponding to the voyage where the goods to be tracked are located, and then the average cloud cover rate of the current voyage is determined.

2. The method for tracking goods based on the international air cargo logistics APP as claimed in claim 1,

when the average cloud cover rate of the current flight segment is determined, the process of adjusting the average cloud cover rate of the current flight segment according to the real-time wind speed is as follows:

in the process of tracking the goods, the real-time wind speed Vi of the position of the goods to be tracked is obtained in real time, according to the standard wind speed V0 set in the central control unit, if the real-time wind speed Vi is less than or equal to the standard wind speed V0, the average cloud cover of the current flight segment is not affected, when the real-time wind speed Vi is greater than the standard wind speed V0, the central control unit is provided with a wind speed matrix V (V10, V20 and V30), wherein V10 represents a first wind speed, V20 represents a second wind speed, V30 represents a third wind speed, and V0 is greater than V10 and less than V20 and less than V30,

when detecting the real-time wind speed, an unmanned leading machine is arranged, the unmanned leading machine sails in the navigation section, the unmanned leading machine flies for 2 hours before the goods to be tracked, a wind speed detector is arranged on the body of the unmanned leading machine and used for detecting the wind speed of the unmanned leading machine, the real-time wind speed Vi of the position of the goods to be tracked is predicted according to the wind speed, the time interval and the weather change condition of the unmanned leading machine,

3. The goods tracking method based on the international air logistics APP as claimed in claim 2, wherein when the unmanned lead aircraft and the goods to be tracked are sailing on the air, the air route where the unmanned lead aircraft is located is set as a first air route, the air route where the goods to be tracked are located is set as a second air route, the first air route and the second air route are projected to form an intersection, the projected first air route and the projected second air route comprise three nodes, the three nodes are the intersection and are respectively a first node, a second node and a third node, a projection area of a first area is formed between the first node and the second node, and a projection area of a second area is formed between the second node and the third node,

4. The cargo tracking method based on the international air transport logistics APP as claimed in claim 3, wherein when the airline is adjusted, if the cargo to be tracked reaches the second node, the navigation path acquired between the second node and the third node by tracking is changed according to the comparison between the projected area G1 of the first region and the preset first standard area G00, and if the projected area G1 of the first region is greater than or equal to the first standard area G00, so that the projected area of the second region formed by the navigation path is reduced, and the path of the cargo to be tracked in the navigation process is shortened.

5. The international air cargo logistics APP based cargo tracking method according to claim 4, wherein when adjusting the cloud cover, determining the average cloud cover rate of the current leg after compensating parameters in a wind speed matrix in a central control unit according to the average altitude of a landform corresponding to the leg where the cargo to be tracked is located comprises:

a wind speed compensation matrix K (K1, K2, K3) is also arranged in the central control unit, wherein K1 represents a first wind speed compensation coefficient, K2 represents a second wind speed compensation coefficient, and K3 represents a third wind speed compensation coefficient;

6. The cargo tracking method based on the international air cargo logistics APP as claimed in claim 5, wherein the first wind speed compensation coefficient K1 is calculated by the following method:

K1=|H-H0|/H0+3×T1/(T1+T2+T3)+|Vi-V0|/V10;

K2=|H-H0|/H0+3×T2/(T1+T2+T3)+|Vi-V0|/V20;

K3=|H-H0|/H0+3×T3/(T1+T2+T3)+|Vi-V0|/V30。

7. the international air cargo logistics APP based cargo tracking method according to claim 6, wherein in calculating each wind speed compensation coefficient, a weight coefficient matrix C (C1, C2, C3) is arranged in the central control unit, wherein C1 represents an altitude coefficient, C2 represents a duration coefficient, C3 represents a wind speed coefficient, and C1+ C2+ C3=1,

when the first wind speed compensation coefficient K1> the standard wind speed compensation coefficient K0, the corrected first wind speed compensation coefficient K1' is:

K1′=C1×|H-H0|/H0+3×T1×C2/(T1+T2+T3)+|Vi-V0|×C3/V10;

K2′=C1×|H-H0|/H0+3×T2×C2/(T1+T2+T3)+|Vi-V0|×C3/V20;

K3′=C1×|H-H0|/H0+3×T3×C2/(T1+T2+T3)+|Vi-V0|×C3/V30。

8. the international air cargo logistics APP based cargo tracking method according to claim 7, wherein a cargo type matrix a (a1, a2, A3, A4, A5) and a time correction coefficient matrix S (S1, S2, S3, S4, S5) are further provided in the central control unit, wherein a1 represents that the cargo to be tracked is of a first type, a2 represents that the cargo to be tracked is of a second type, A3 represents that the cargo to be tracked is of a third type, A4 represents that the cargo to be tracked is of a fourth type, A5 represents that the cargo to be tracked is of a fifth type, S1 represents a first correction coefficient, S2 represents a second correction coefficient, S3 represents a third correction coefficient, S4 represents a fourth correction coefficient, S7 represents a fifth correction coefficient, and a T pair of the time correction coefficient matrix S (S1, S2, S5 2) is selected according to the type of the cargo to be tracked, t2, T3);

when the cargo to be tracked belongs to the first category, correcting the time extension matrix by using S1 in a time correction coefficient matrix S (S1, S2, S3, S4 and S5), wherein the corrected time extension matrix is T11(S1 × T1, S1 × T2 and S1 × T3);

when the cargo to be tracked belongs to the fifth category, correcting the time extension matrix by using S5 in the time correction coefficient matrix S (S1, S2, S3, S4 and S5), wherein the corrected time extension matrix is T55(S5 × T1, S5 × T2 and S5 × T3);

the first correction coefficient S1= a × (T2-T1)/(T1+ T2+ T3) + B × (V20-V10)/(V10+ V20+ V30);

9. The method for tracking goods based on the international air cargo logistics APP as claimed in claim 8,

when the cargo species is determined, secondarily correcting the time extension matrix according to the section where the cargo to be tracked is located, and when the cargo to be tracked belongs to the first type and the current section is the first section, doubly correcting the time extension matrix by using S1 in a time correction coefficient matrix S (S1, S2, S3, S4 and S5), wherein the corrected time extension matrix is T11' (2 multiplied by S1 multiplied by T1, 2 multiplied by S1 multiplied by T2 and 2 multiplied by S1 multiplied by T3);

10. The international air cargo logistics APP based cargo tracking method according to any one of claims 1-9, wherein a customer satisfaction time period T00 is further provided in the central control unit, an extended time is determined according to the flight segment where the cargo to be tracked is located, when the arrival time is added to the corresponding extended time, the extended time is compared with the customer satisfaction time period, and if the arrival time is less than or equal to the customer satisfaction time period after being added to the corresponding extended time, the transportation of the cargo to be tracked is within the customer satisfaction range;