CN113112209A - Logistics distribution safety protection method for acquiring real-time movement track of goods - Google Patents
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Abstract
The invention relates to a logistics distribution safety protection method for obtaining real-time movement tracks of goods, which comprises the steps of generating goods distribution planning paths aiming at different goods to be distributed in advance, establishing a logistics vehicle carrying information database of a corresponding relation between each goods to be distributed and a logistics vehicle carrying each goods to be distributed in advance, detecting the deviation condition between the real-time movement tracks of the logistics vehicles and the goods distribution planning paths of any goods to be distributed carried by the logistics vehicles, judging whether the logistics vehicles deviate from the original goods distribution planning paths currently, and executing corresponding corrective measures once the movement tracks of the logistics vehicles deviate, thereby ensuring the safety of the transportation routes of the distributed goods.
Description
Technical Field
The invention relates to the field of logistics management, in particular to a logistics distribution safety protection method for acquiring real-time movement tracks of cargos.
Background
In logistics management, logistics companies can install positioning systems such as a Beidou system on each logistics vehicle which is managed by the companies and is responsible for goods transportation according to management requirements, management requirements of monitoring the logistics vehicles are met, monitoring of movement tracks of the logistics vehicles is achieved, and safety of transportation and goods distribution of the logistics vehicles is guaranteed.
However, there still exists a problem in management for monitoring the moving trajectory of the logistics vehicles: whether the real-time motion track of the logistics vehicle in the transportation process is consistent with a goods distribution planning path planned in advance for goods transported by a logistics company cannot be monitored, whether the real-time motion track of the logistics vehicle deviates relative to the goods distribution planning path is difficult to know, and even if the motion track of the logistics vehicle deviates, the motion track of the logistics vehicle is difficult to correct in time, so that great potential safety hazards are brought to logistics distribution.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a logistics distribution safety protection method for obtaining real-time movement tracks of goods in view of the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows: a logistics distribution safety protection method for obtaining real-time movement tracks of cargos is characterized by comprising the following steps:
step S1, constructing a goods basic information database aiming at all goods to be delivered; the goods basic information database comprises a plurality of goods basic information aiming at each goods to be delivered, and the goods basic information comprises the name of the corresponding goods to be delivered and the source tracing code of the goods to be delivered;
Step S2, according to the basic information database of the goods, a logistics vehicle carrying information database which is responsible for transporting the goods to be delivered is constructed; the logistics vehicle carrying information database comprises a plurality of logistics vehicle basic information aiming at each goods to be delivered, and the logistics vehicle basic information comprises logistics vehicle driving license information and logistics vehicle transportation license information bearing the corresponding goods to be delivered; each cargo to be distributed corresponds to a logistics vehicle;
step S3, forming a goods distribution planning path set aiming at all goods to be distributed according to the starting place and the destination of each goods to be distributed; the goods distribution planning path set comprises a plurality of goods distribution planning paths for different goods to be distributed, and each goods distribution planning path corresponds to the goods basic information of the goods one by one;
step S4, acquiring real-time motion tracks of each logistics vehicle in transportation;
step S5, detecting whether the real-time motion trajectory of the logistics vehicle deviates from the planned route for delivering any goods transported by the logistics vehicle:
when the deviation occurs, the process proceeds to step S6; otherwise, go to step S4;
and step S6, correcting measures are carried out on the movement track of the logistics vehicle, so that the corrected movement track of the logistics vehicle matches the cargo distribution planned path of any cargo.
Further, in the method for protecting logistics distribution safety of acquiring a real-time movement track of a cargo, in step S6, the corrective action is to prompt a driver of the logistics vehicle to transport the cargo according to the planned route for cargo distribution of any cargo.
Alternatively, in the logistics distribution safety protection method for acquiring the real-time movement track of the cargo, in step S6, the corrective measures are:
collecting current position information of the logistics vehicles;
acquiring destination position information of goods corresponding to the goods distribution path plan with the logistics vehicle motion trail deviated relatively;
and replanning a delivery path according to the collected current position information of the logistics vehicle and the destination position information of the goods, and taking the replanned delivery path as a latest delivery planned path for the goods.
In an improved aspect, in the invention, the method for protecting logistics distribution by acquiring a real-time movement trajectory of a cargo further includes:
step a1, collecting fingerprint information of drivers who drive the logistics vehicle with determined dispatching in advance;
step a2, the logistics vehicle collects the fingerprint information of the driver on the steering wheel in real time during the transportation of goods;
Step a3, real-time matching judgment is carried out on the fingerprint information of the drivers of the logistics vehicles, which is collected in advance, and the fingerprint information collected in real time:
when the two are consistent, the step a2 is carried out; otherwise, a driving risk warning prompt that the driver of the logistics vehicle is replaced is fed back to the logistics vehicle monitoring personnel.
In a further improvement, in the method for logistics distribution safety protection for acquiring real-time movement track of cargo, between step a3 and step a2, the method further includes:
denoising pretreatment is carried out on the fingerprint information collected in real time;
and taking the fingerprint information after the denoising preprocessing as the real-time collected fingerprint information for the matching judgment in the step a 3.
Further, in the logistics distribution safety protection method for acquiring the real-time movement track of the cargo, the denoising preprocessing process for the fingerprint information acquired in real time includes the following steps b 1-b 6:
b1, performing rasterization and fragmentation processing on the image corresponding to the fingerprint information acquired in real time to obtain a plurality of grids containing fingerprint area images; for the image subjected to rasterization slicing processing, retaining grids filled with the fingerprint area image and grids filled with partial fingerprint area images, and not retaining grids not filled with the fingerprint area image;
B2, using the image formed by the grids containing the fingerprint area image as the rasterized fingerprint image;
b3, selecting any point in the rasterized fingerprint image, and dividing the points around the any point into a plurality of small neighborhoods; wherein, each point around the any point has a small neighborhood corresponding to the point;
step b4, calculating the gray value and the gray value of each neighboring point in the neighborhood of any point for each small neighborhood of the small neighborhoods corresponding to any pointEach neighbor is at diThe gray difference value between the gray values of the 1 st adjacent points in the direction, and the sum value of all the obtained gray difference values of all the small neighborhoods is taken as the sum value of all the gray difference values of any point at diThe gray scale change value in the direction is more than or equal to 1 and less than or equal to 8; moreover, the included angle between two adjacent directions is 45 degrees;
a step b5 of defining a direction corresponding to the gradation variation value having the minimum value as a point direction of the arbitrary point and defining a direction corresponding to the gradation variation value having the maximum value as a direction perpendicular to the point direction of the arbitrary point;
and b6, obtaining the dot directions of all the dots in the rasterized fingerprint image and the direction perpendicular to the dot direction of each dot according to the mode of the steps b 3-b 5.
In another improvement, the method for protecting logistics distribution of acquiring real-time movement trajectory of cargo in the invention further includes: and when the logistics vehicle deviates from the cargo delivery planning path of any cargo and the fingerprint information of the driver of the logistics vehicle, which is acquired in advance, is inconsistent with the fingerprint information acquired in real time, an alarm prompt of the cargo transportation risk is given to the logistics vehicle monitoring personnel.
Compared with the prior art, the invention has the advantages that:
firstly, the invention generates goods delivery planning paths aiming at different goods to be delivered in advance, establishes a logistics vehicle carrying information database of the corresponding relation between each goods to be delivered and a logistics vehicle bearing each goods to be delivered in advance, detects whether the real-time movement track of the logistics vehicle deviates from the goods delivery planning path of any goods to be delivered borne by the logistics vehicle, and executes corresponding corrective measures once the movement track of the logistics vehicle deviates, thereby ensuring the safety of the transportation route of the delivered goods;
secondly, in the running process of the logistics vehicle, real-time acquisition based on fingerprint information and real-time fingerprint identification judgment are carried out on a driver of the logistics vehicle, so that the driver of the logistics vehicle is ensured not to change in the transportation process, and once the situation that the fingerprint information of the driver is not matched with the fingerprint information of the driver of the logistics vehicle reserved in advance occurs, an alarm prompt is started, and the identity safety of the driver in the logistics distribution process is ensured;
Finally, the invention also improves the fingerprint identification algorithm to carry out denoising pretreatment on the fingerprint information acquired in real time, thereby ensuring that the fingerprint information for fingerprint identification is noise-free, improving the fingerprint identification accuracy, and further improving the driver identity verification accuracy in the logistics distribution process and the safety of the logistics distribution process.
Drawings
Fig. 1 is a schematic flow chart of a logistics distribution safety protection method for obtaining a real-time movement track of a cargo in this embodiment.
Detailed Description
The invention is described in further detail below with reference to the accompanying examples.
The embodiment provides a logistics distribution safety protection method for acquiring a real-time movement track of goods. Specifically, referring to fig. 1, the logistics distribution safety protection method for acquiring a real-time movement track of a cargo in this embodiment includes the following steps:
step S1, constructing a goods basic information database aiming at all goods to be delivered; the goods basic information database comprises a plurality of goods basic information aiming at each goods to be delivered, and the goods basic information comprises the name of the corresponding goods to be delivered and the source tracing code of the goods to be delivered; each tracing code and each goods to be distributed are in one-to-one correspondence;
Step S2, according to the basic information database of the goods, a logistics vehicle carrying information database which is responsible for transporting the goods to be delivered is constructed; the logistics vehicle carrying information database comprises a plurality of logistics vehicle basic information aiming at each goods to be delivered, and the logistics vehicle basic information comprises logistics vehicle driving license information and logistics vehicle transportation license information bearing the corresponding goods to be delivered; each cargo to be distributed corresponds to a logistics vehicle;
step S3, forming a goods distribution planning path set aiming at all goods to be distributed according to the starting place and the destination of each goods to be distributed; the goods distribution planning path set comprises a plurality of goods distribution planning paths for different goods to be distributed, and each goods distribution planning path corresponds to the goods basic information of the goods one by one; it should be noted that the planning path for goods delivery of different goods to be delivered herein can be obtained by planning with the existing conventional technical means, and preferably is an optimal planning path for goods delivery of different goods to be delivered, and the planning method for the optimal planning path for goods delivery may be implemented with the conventional technical means, which is not described herein again in too much detail;
Step S4, acquiring real-time motion tracks of each logistics vehicle in transportation; each logistics vehicle is provided with a positioning device in advance, the positioning device preferably adopts a Beidou positioning device, and each logistics vehicle is in real-time wireless communication connection with a management center for managing the logistics vehicles;
step S5, detecting whether the real-time motion trajectory of the logistics vehicle deviates from the planned route for delivering any goods transported by the logistics vehicle, and making a judgment according to the deviation detection result:
when the deviation occurs, the logistics vehicle is judged to deviate from the cargo distribution planned path of any cargo, and the process goes to step S6; otherwise, go to step S4; wherein, the any cargo is the cargo which is specified in advance and needs to be delivered by the logistics vehicle in the current time period; for the detection of whether the real-time motion track of the logistics vehicle deviates or not, a conventional track deviation detection means can be adopted;
and step S6, correcting measures are carried out on the movement track of the logistics vehicle, so that the corrected movement track of the logistics vehicle matches the cargo distribution planned path of any cargo. Wherein the corrective measures here are in various forms according to the actual needs.
For example, the corrective action here may be to prompt the driver of the logistics vehicle to transport the goods according to the planned route for goods delivery of any of the goods. Of course, the corrective action may also be: firstly, collecting current position information of a logistics vehicle; then, destination position information of goods corresponding to the goods distribution path plan with the logistics vehicle motion trail deviated relatively is obtained; and finally, replanning a delivery path according to the collected current position information of the logistics vehicle and the destination position information of the goods, and taking the replanned delivery path as a latest delivery planning path for the goods.
In order to ensure the identity safety of the people driving the logistics vehicle and avoid the logistics vehicle being driven by illegal people, the following driver safety identity verification measures are also taken in the embodiment. Specifically, the safety authentication measures for the driver comprise the following steps a 1-a 3:
step a1, collecting fingerprint information of drivers who drive the logistics vehicle with determined dispatching in advance;
step a2, the logistics vehicle collects the fingerprint information of the driver on the steering wheel in real time during the transportation of goods;
Step a3, real-time matching judgment is carried out on the fingerprint information of the drivers of the logistics vehicles, which is collected in advance, and the fingerprint information collected in real time:
when the two are consistent, the driver is not replaced at present, and the identity of the driver is safe and reliable at present, the step a2 is carried out; otherwise, a driving risk warning prompt that the driver of the logistics vehicle is replaced is fed back to the logistics vehicle monitoring personnel.
In order to ensure the accuracy of the fingerprint information of the driver collected in real time and avoid the interference of adverse factors on the fingerprint image, as an improvement, the embodiment further makes the following improvement measures, between the step a3 and the step a 2: denoising pretreatment is carried out on the fingerprint information collected in real time; and taking the fingerprint information after the denoising preprocessing as the real-time collected fingerprint information for the matching judgment in the step a 3. The denoising preprocessing process for the fingerprint information acquired in real time comprises the following steps b 1-b 6:
b1, performing rasterization and fragmentation processing on the image corresponding to the fingerprint information acquired in real time to obtain a plurality of grids containing fingerprint area images; for the image subjected to rasterization slicing processing, reserving grids filled with the fingerprint area image and grids filled with partial fingerprint area images, and not reserving grids not filled with the fingerprint area image;
B2, using the image formed by the grids containing the fingerprint area image as the rasterized fingerprint image;
b3, selecting any point P in the rasterized fingerprint image, and dividing points around the any point P into a plurality of small neighborhoods; wherein, each point around the any point P has a small neighborhood corresponding to the point;
it is assumed that there are 10 points around the arbitrary point P, each P1、P2、P3、P4、P5、P6、P7、P8、P9And P10After the point division processing, four small neighborhoods are formed, and the four small neighborhoods are respectively D1、D2、D3And D4Small neighborhood D1Is P1、P2And P3Small neighborhood D2Is P4And P5Small neighborhood D3Is P6And P7Small neighborhood D4Is P8、P9And P10；
Step b4, calculating the gray value of each neighboring point in the neighborhood of any point and the d-position of each neighboring point for each small neighborhood of the small neighborhoods corresponding to any pointiThe gray difference value between the gray values of the 1 st adjacent points in the direction, and the sum value of all the obtained gray difference values of all the small neighborhoods is taken as the sum value of all the gray difference values of any point at diA change in gray scale value in direction; wherein, it is assumed that each neighboring point has 8 directions, i.e. 1 ≦ i ≦ 8, and the 8 directions of each neighboring point are respectively the direction d 1～d8And the angle between two adjacent directions is 45 degrees, e.g. d of point P1The direction is from the point P as the starting point and towards the vertical directionThe above step (1); d of point P2Direction is from point P as starting point, relative to d1The right side of the direction is inclined by 45 degrees; d of point P3Direction is from point P as starting point, relative to d2The right side of the direction inclines in a direction of 45 degrees, and the rest directions are analogized in turn; then, for 10 neighbors in the four small neighbors of point P, the following process is performed:
for small neighborhood D1Three neighbors P in1、P2And P3Respectively calculate neighboring points P1Gray value of (d) and the adjacent point P1At d1Calculating the gray difference between the gray values of the 1 st adjacent point in the direction, and calculating the adjacent point P2Gray value of (d) and the adjacent point P2At d1The gray difference between the gray values of the 1 st adjacent point in the direction and the calculation of the adjacent point P3Gray value of (d) and the adjacent point P3At d1The gray difference value between the gray values of the 1 st adjacent points in the direction;
computing a small neighborhood D by1Three neighbors in d1Respectively calculating all neighboring points in the remaining 3 small neighborhoods at d by means of gray difference values corresponding to the directions1The gray difference values between the gray values of the 1 st adjacent points in the direction are finally summed up to obtain a sum value, namely the sum value of the gray difference values corresponding to all the adjacent points in the four neighborhoods, wherein the sum value is the point P at the d 1A change in gray scale value in direction;
then according to the same calculation point P at d1In the same manner as the gradation change value in the direction, the points P in the remaining seven directions (d) are calculated separately2Direction-d8Direction) of the gray values;
a step b5 of defining a direction corresponding to the gradation variation value having the minimum value as a point direction of the arbitrary point and defining a direction corresponding to the gradation variation value having the maximum value as a direction perpendicular to the point direction of the arbitrary point;
by the above-described calculation of the sum of the gray values for the point P in the 8 directions, it is assumed that the point P is obtained at d3The gray scale change value in the direction is the gray scale change value with the minimum value, and the point P is at d6Gray scale change in directionThe value is the gray scale variation value with the maximum value, then d is used here3The direction is taken as the point direction of the point P, and d is taken as6The direction is the point direction d with the point P3The perpendicular direction;
and b6, obtaining the dot directions of all the dots in the rasterized fingerprint image and the direction perpendicular to the dot direction of each dot according to the mode of the steps b 3-b 5. That is, according to the above-described calculation processing for the dot direction of the dots P and the direction perpendicular to the dot direction, the dot directions of all the dots in the rasterized fingerprint image and the direction perpendicular to the dot direction of each dot can be obtained.
It should be noted here that, in this embodiment, for any point in the rasterized fingerprint image, by dividing all points around the any point into a plurality of small neighborhoods, and then calculating the point direction of the any point and the direction perpendicular to the store direction, the proportion occupied by the gray-value variation between a single pair of adjacent points in the obtained entire gray-value variation value and value is reduced, so as to further enable the fingerprint image obtained based on this method to have better noise resistance, and the directional diagram (including the point direction and the direction perpendicular to the point direction) sequentially calculated for any point in the rasterized fingerprint image shows higher stability, thereby improving the accuracy of fingerprint identification for subsequent drivers of logistics vehicles.
In this implementation, when it is determined that the logistics vehicle deviates from the planned cargo delivery path of any cargo, and the fingerprint information of the driver of the logistics vehicle, which is collected in advance, is inconsistent with the fingerprint information collected in real time, an alarm prompt of the cargo transportation risk is given to the logistics vehicle monitoring personnel.
Although preferred embodiments of the present invention have been described in detail hereinabove, it should be clearly understood that modifications and variations of the present invention are possible 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 (7)
1. A logistics distribution safety protection method for obtaining real-time movement tracks of cargos is characterized by comprising the following steps:
step S1, constructing a goods basic information database aiming at all goods to be delivered; the goods basic information database comprises a plurality of goods basic information aiming at each goods to be delivered, and the goods basic information comprises the name of the corresponding goods to be delivered and the source tracing code of the goods to be delivered;
step S2, according to the basic information database of the goods, a logistics vehicle carrying information database which is responsible for transporting the goods to be delivered is constructed; the logistics vehicle carrying information database comprises a plurality of logistics vehicle basic information aiming at each goods to be delivered, and the logistics vehicle basic information comprises logistics vehicle driving license information and logistics vehicle transportation license information bearing the corresponding goods to be delivered; each cargo to be distributed corresponds to a logistics vehicle;
step S3, forming a goods distribution planning path set aiming at all goods to be distributed according to the starting place and the destination of each goods to be distributed; the goods distribution planning path set comprises a plurality of goods distribution planning paths for different goods to be distributed, and each goods distribution planning path corresponds to the goods basic information of the goods one by one;
Step S4, acquiring real-time motion tracks of each logistics vehicle in transportation;
step S5, detecting whether the real-time motion trajectory of the logistics vehicle deviates from the planned route for delivering any goods transported by the logistics vehicle:
when the deviation occurs, the process proceeds to step S6; otherwise, go to step S4;
and step S6, correcting measures are carried out on the movement track of the logistics vehicle, so that the corrected movement track of the logistics vehicle matches the cargo distribution planned path of any cargo.
2. The method for logistics distribution safety protection of acquiring real-time motion trail of cargo as claimed in claim 1, wherein in step S6, the corrective action is to prompt the driver of the logistics vehicle to transport cargo according to the planned route for cargo distribution of any cargo.
3. The logistics distribution safety protection method for acquiring real-time movement track of cargo as claimed in claim 1, wherein in step S6, the corrective action is:
collecting current position information of the logistics vehicles;
acquiring destination position information of goods corresponding to the goods distribution path plan with the logistics vehicle motion trail deviated relatively;
and replanning a delivery path according to the collected current position information of the logistics vehicle and the destination position information of the goods, and taking the replanned delivery path as a latest delivery planned path for the goods.
4. The logistics distribution safety protection method for obtaining the real-time movement track of the goods according to any one of claims 1 to 3, further comprising:
step a1, collecting fingerprint information of drivers who drive the logistics vehicle with determined dispatching in advance;
step a2, the logistics vehicle collects the fingerprint information of the driver on the steering wheel in real time during the transportation of goods;
step a3, real-time matching judgment is carried out on the fingerprint information of the drivers of the logistics vehicles, which is collected in advance, and the fingerprint information collected in real time:
when the two are consistent, the step a2 is carried out; otherwise, a driving risk warning prompt that the driver of the logistics vehicle is replaced is fed back to the logistics vehicle monitoring personnel.
5. The logistics distribution safety protection method for obtaining real-time movement track of cargo according to claim 4, further comprising between the step a3 and the step a 2:
denoising pretreatment is carried out on the fingerprint information collected in real time;
and taking the fingerprint information after the denoising preprocessing as the real-time collected fingerprint information for the matching judgment in the step a 3.
6. The logistics distribution safety protection method for acquiring real-time motion trail of cargo as claimed in claim 5, wherein the denoising pre-processing process for the fingerprint information collected in real time comprises the following steps b 1-b 6:
B1, performing rasterization and fragmentation processing on the image corresponding to the fingerprint information acquired in real time to obtain a plurality of grids containing fingerprint area images; for the image subjected to rasterization slicing processing, retaining grids filled with the fingerprint area image and grids filled with partial fingerprint area images, and not retaining grids not filled with the fingerprint area image;
b2, using the image formed by the grids containing the fingerprint area image as the rasterized fingerprint image;
b3, selecting any point in the rasterized fingerprint image, and dividing the points around the any point into a plurality of small neighborhoods; wherein, each point around the any point has a small neighborhood corresponding to the point;
step b4, calculating the gray value of each neighboring point in the neighborhood of any point and the d-position of each neighboring point for each small neighborhood of the small neighborhoods corresponding to any pointiThe gray difference value between the gray values of the 1 st adjacent points in the direction, and the sum value of all the obtained gray difference values of all the small neighborhoods is taken as the sum value of all the gray difference values of any point at diThe gray scale change value in the direction is more than or equal to 1 and less than or equal to 8; moreover, the included angle between two adjacent directions is 45 degrees;
A step b5 of defining a direction corresponding to the gradation variation value having the minimum value as a point direction of the arbitrary point and defining a direction corresponding to the gradation variation value having the maximum value as a direction perpendicular to the point direction of the arbitrary point;
and b6, obtaining the dot directions of all the dots in the rasterized fingerprint image and the direction perpendicular to the dot direction of each dot according to the mode of the steps b 3-b 5.
7. The logistics distribution safety protection method for obtaining real-time movement track of cargo according to claim 4, further comprising: and when the logistics vehicle deviates from the cargo delivery planning path of any cargo and the fingerprint information of the driver of the logistics vehicle, which is acquired in advance, is inconsistent with the fingerprint information acquired in real time, an alarm prompt of the cargo transportation risk is given to the logistics vehicle monitoring personnel.
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Cited By (3)
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| CN115235501A (en) * | 2022-09-20 | 2022-10-25 | 江苏天一航空工业股份有限公司 | Logistics bulk cargo loading vehicle driving track planning control system and method |
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| CN117745170B (en) * | 2024-02-20 | 2024-04-30 | 中国标准化研究院 | Fresh agricultural product transportation quality monitoring system of on-the-way commodity circulation |
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