CN113112209B - Logistics distribution safety protection method for acquiring real-time motion trail of goods - Google Patents
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Abstract
The invention relates to a logistics distribution safety protection method for acquiring real-time motion trail of goods, which comprises the steps of generating the goods distribution planning routes aiming at different goods to be distributed in advance, establishing a logistics vehicle carrying information database of the corresponding relation between each goods to be distributed and logistics vehicles carrying the goods to be distributed in advance, detecting the deviation condition between the real-time motion trail of the logistics vehicles and the goods distribution planning route of any goods to be distributed carried by the logistics vehicles, judging whether the logistics vehicles deviate from the original goods distribution planning route currently, and executing corresponding corrective measures once the motion trail of the logistics vehicles deviates, so as to ensure the safety of the transportation route of the goods to be distributed.
Description
Technical Field
The invention relates to the field of logistics management, in particular to a logistics distribution safety protection method for acquiring a real-time movement track of goods.
Background
In logistics management, a logistics company can install positioning systems such as a Beidou system on each logistics vehicle which is managed by the company and is responsible for cargo transportation according to management requirements, so that the management requirements of monitoring logistics vehicles are met, monitoring of movement tracks of the logistics vehicles is realized, and safe transportation of the logistics vehicles and safety of delivering cargo are ensured.
However, there are still problems in management for movement track monitoring of logistic vehicles: the real-time movement track of the logistics vehicle in the transportation process cannot be monitored to be consistent with the goods distribution planning path which is planned in advance by the logistics company for the goods transported by the logistics vehicle, so that whether the real-time movement track of the logistics vehicle deviates from the goods distribution planning path or not is difficult to know, even if the movement track of the logistics vehicle deviates, the movement track of the logistics vehicle is difficult to correct in time, and 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 acquiring a real-time motion trail of goods aiming at the prior art.
The technical scheme adopted for solving the technical problems is as follows: the logistics distribution safety protection method for acquiring the real-time motion trail of the goods is characterized by comprising the following steps of:
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 to-be-delivered goods, wherein the goods basic information comprises names of the corresponding to-be-delivered goods and tracing codes of the to-be-delivered goods;
s2, constructing a logistics vehicle carrying information database responsible for transporting the goods to be distributed according to the goods basic information database; the logistics vehicle carrying information database comprises a plurality of logistics vehicle basic information aiming at each to-be-distributed goods, wherein the logistics vehicle basic information comprises logistics vehicle driving license information and logistics vehicle transportation license information for bearing the corresponding to-be-distributed goods; each goods to be distributed corresponds to a logistics vehicle;
step S3, forming a cargo distribution planning path set for all cargoes to be distributed according to the starting place and destination of each cargo to be distributed; the goods delivery planning path set comprises a plurality of goods delivery planning paths aiming at different goods to be delivered, and each goods delivery planning path corresponds to the goods basic information of the goods one by one;
s4, acquiring real-time motion tracks of all logistics vehicles in transportation;
step S5, detecting whether deviation occurs between the real-time motion track of the logistics vehicle and the goods delivery planning path of any goods transported by the logistics vehicle or not:
when the deviation occurs, the process goes to step S6; otherwise, go to step S4;
and S6, executing corrective measures on the movement track of the logistics vehicle so that the corrected movement track of the logistics vehicle matches with the goods delivery planning path of any goods.
Further, in the method for protecting logistics distribution safety of acquiring real-time motion trail of goods, in step S6, the corrective measure is to prompt the logistics vehicle driver to transport the goods according to the planned path of goods distribution of any one of the goods.
Optionally, in the method for protecting logistics distribution safety of acquiring a real-time motion trail of a good, in step S6, the corrective measures are:
collecting current position information of a logistics vehicle;
acquiring destination position information of goods corresponding to goods distribution path planning which relatively generates deviation of movement tracks of logistics vehicles;
and re-planning a delivery path according to the collected logistics vehicle current position information and the destination position information of the goods, and taking the re-planned delivery path as the latest delivery planning path for the goods.
In the invention, the logistics distribution safety protection method for acquiring the real-time motion trail of the goods further comprises the following steps:
step a1, pre-collecting fingerprint information of a driver who drives the logistics vehicle and is determined to be scheduled;
step a2, the logistics vehicle collects fingerprint information of a driver of the logistics vehicle placed on a steering wheel in real time during the process of transporting goods;
step a3, carrying out real-time matching judgment on the pre-acquired fingerprint information of the logistics vehicle driver and the real-time acquired fingerprint information:
when the two are consistent, the step a2 is carried out; otherwise, feeding back a driving risk warning prompt for replacement of the logistics vehicle driver to the logistics vehicle monitoring personnel.
Further improved, in the logistics distribution safety protection method for acquiring the real-time motion trail of the goods, the method further comprises the following steps between the step a3 and the step a 2:
denoising pretreatment is carried out on the fingerprint information acquired in real time;
and taking the fingerprint information after denoising pretreatment as the fingerprint information collected in real time for matching judgment in the step a 3.
Further, in the logistics distribution safety protection method for acquiring the real-time motion trail of the goods, the denoising pretreatment process for the fingerprint information acquired in real time comprises the following steps of b1 to b6:
step b1, performing rasterization and slicing treatment on an image corresponding to the fingerprint information acquired in real time to obtain a plurality of grids containing fingerprint area images; the method comprises the steps of performing rasterization slicing processing on an image, wherein the grids of which the inside is completely filled with a fingerprint area image and the grids of which the inside is filled with a partial fingerprint area image are reserved, and the grids of which the inside is not filled with the fingerprint area image are not reserved;
step b2, taking the image formed by the grids containing the fingerprint area image as a rasterized fingerprint image;
step b3, selecting any point in the rasterized fingerprint image, and dividing the points around any point into a plurality of small neighborhoods; wherein each point around any one point has a small neighborhood corresponding to the small neighborhood;
step b4, calculating the gray value of each adjacent point in the neighborhood of any point and d of each adjacent point aiming at each small neighborhood in a plurality of small neighborhoods corresponding to any point i Gray difference value between gray values of 1 st adjacent point in direction, and sum value of all gray difference values of all obtained small adjacent points is taken as d of any point i The gray level change value in the direction is more than or equal to 1 and less than or equal to 8; and the included angle between two adjacent directions is 45 degrees;
step b5, taking the direction corresponding to the gray level variation value with the minimum value as the point direction of any point, and taking the direction corresponding to the gray level variation value with the maximum value as the direction perpendicular to the point direction of any point;
and b6, obtaining the dot directions of all the dots in the fingerprint image after rasterization and the directions perpendicular to the dot directions of each dot according to the modes of the steps b3 to b 5.
Still more improved, the logistics distribution safety protection method for acquiring the real-time motion trail of the goods in the invention further comprises the following steps: when the logistics vehicle is judged to deviate from the cargo distribution planning path of any cargo, and the pre-collected fingerprint information of the logistics vehicle driver is inconsistent with the real-time collected fingerprint information, an alarm prompt of cargo transportation risk is given to logistics vehicle monitoring personnel.
Compared with the prior art, the invention has the advantages that:
firstly, the invention pre-generates goods delivery planning paths for different goods to be delivered, pre-establishes a logistics vehicle carrying information database of the corresponding relation between each goods to be delivered and a logistics vehicle carrying the goods to be delivered, then detects whether deviation occurs between the real-time movement track of the logistics vehicle and the goods delivery planning path of any goods to be delivered carried by the logistics vehicle, and once the movement track of the logistics vehicle deviates, executes corresponding corrective measures, thereby ensuring the safety of the transportation route of the goods to be delivered;
secondly, in the running process of the logistics vehicle, the real-time acquisition and the real-time fingerprint identification judgment based on fingerprint information are carried out on a logistics vehicle driver, so that the logistics vehicle driver in the transportation process is ensured not to be changed, and in case that the fingerprint information of the driver is not matched with the pre-stored fingerprint information of the logistics vehicle driver, an alarm prompt is started, so that the identity safety of the driver in the logistics distribution process is ensured;
finally, the fingerprint identification algorithm is improved to perform denoising pretreatment on the fingerprint information acquired in real time, so that the fingerprint information for fingerprint identification is ensured to be noiseless, the fingerprint identification accuracy is improved, and the identity verification accuracy of a driver in the logistics distribution process and the safety of the logistics distribution process are further improved.
Drawings
Fig. 1 is a schematic flow chart of a logistics distribution safety protection method for acquiring a real-time motion trail of a cargo in the embodiment.
Detailed Description
The invention is described in further detail below with reference to the embodiments of the drawings.
The embodiment provides a logistics distribution safety protection method for acquiring real-time motion trail of goods. Specifically, referring to fig. 1, the method for protecting logistics distribution safety in this embodiment for acquiring a real-time motion track of a cargo 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 to-be-delivered goods, wherein the goods basic information comprises names of the corresponding to-be-delivered goods and tracing codes of the to-be-delivered goods; the source tracing codes and the goods to be distributed are in one-to-one correspondence;
s2, constructing a logistics vehicle carrying information database responsible for transporting the goods to be distributed according to the goods basic information database; the logistics vehicle carrying information database comprises a plurality of logistics vehicle basic information aiming at each to-be-distributed goods, wherein the logistics vehicle basic information comprises logistics vehicle driving license information and logistics vehicle transportation license information for bearing the corresponding to-be-distributed goods; each goods to be distributed corresponds to a logistics vehicle;
step S3, forming a cargo distribution planning path set for all cargoes to be distributed according to the starting place and destination of each cargo to be distributed; the goods delivery planning path set comprises a plurality of goods delivery planning paths aiming at different goods to be delivered, and each goods delivery planning path corresponds to the goods basic information of the goods one by one; it should be noted that, the cargo delivery planning paths for different cargoes to be delivered can be obtained by adopting the conventional technical means, and the optimal cargo delivery planning paths for different cargoes to be delivered are preferably obtained by adopting the conventional technical means, and the planning method of the optimal cargo delivery planning paths is not repeated here;
s4, acquiring real-time motion tracks of all logistics vehicles in transportation; the system comprises a plurality of logistics vehicles, a plurality of positioning devices, a plurality of Beidou positioning devices, a plurality of management centers and a plurality of wireless communication devices, wherein the positioning devices are arranged on each logistics vehicle in advance according to the plurality of positioning devices, and each logistics vehicle is in real-time wireless communication connection with the management center for managing the logistics vehicle;
step S5, detecting whether deviation occurs between the real-time motion track of the logistics vehicle and the goods delivery planning path of any goods transported by the logistics vehicle, and judging according to the deviation detection result:
when the deviation occurs, judging that the logistics vehicle deviates from the goods distribution planning path of any goods, and turning to step S6; otherwise, go to step S4; wherein, any goods are the goods which are required to be delivered and transported by the logistics vehicle in the current time period; for detecting whether deviation occurs in the real-time motion track of the logistics vehicle, a conventional track deviation detecting means can be adopted;
and S6, executing corrective measures on the movement track of the logistics vehicle so that the corrected movement track of the logistics vehicle matches with the goods delivery planning path of any goods. Among other things, the corrective action herein is in various forms depending on the actual need.
For example, the corrective action here may be prompting the logistics vehicle operator to transport the cargo in accordance with the cargo delivery planned route for either cargo. 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 goods delivery path planning which relatively generates deviation on the movement track of the logistics vehicle is obtained; and finally, re-planning a delivery path according to the collected logistics vehicle current position information and the destination position information of the goods, and taking the re-planned delivery path as the latest delivery planning path for the goods.
In order to ensure the personal safety of the driver of the logistics vehicle, to avoid the driver of the logistics vehicle by an illegal person, the following driver safety authentication measures are also made in this embodiment. Specifically, the driver safety identity verification measures include the following steps a1 to a3:
step a1, pre-collecting fingerprint information of a driver who drives the logistics vehicle and is determined to be scheduled;
step a2, the logistics vehicle collects fingerprint information of a driver of the logistics vehicle placed on a steering wheel in real time during the process of transporting goods;
step a3, carrying out real-time matching judgment on the pre-acquired fingerprint information of the logistics vehicle driver and the real-time acquired fingerprint information:
when the two are consistent, the situation that no replacement of the driver occurs at present is indicated, and the current identity of the driver is safe and reliable, and the step a2 is carried out; otherwise, feeding back a driving risk warning prompt for replacement of the logistics vehicle driver to the logistics vehicle monitoring personnel.
In order to ensure the accuracy of the fingerprint information of the driver acquired 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, and the following improvement measures are further included between the step a3 and the step a 2: denoising pretreatment is carried out on the fingerprint information acquired in real time; and taking the fingerprint information after denoising pretreatment as the fingerprint information collected in real time for matching judgment in the step a 3. The denoising pretreatment process for the fingerprint information acquired in real time comprises the following steps of b1 to b6:
step b1, performing rasterization and slicing treatment on an image corresponding to the fingerprint information acquired in real time to obtain a plurality of grids containing fingerprint area images; wherein, for the rasterized and fragmented image, the grids filled with the fingerprint area image and the grids filled with partial fingerprint area image are reserved, and the grids not filled with the fingerprint area image are not reserved;
step b2, taking the image formed by the grids containing the fingerprint area image as a rasterized fingerprint image;
step b3, selecting any point P in the rasterized fingerprint image, and dividing the points around the any point P into a plurality of small neighborhoods; wherein, each point around any point P has a small neighborhood corresponding to it;
assuming that 10 points exist around any one point P, P is respectively 1 、P 2 、P 3 、P 4 、P 5 、P 6 、P 7 、P 8 、P 9 And P 10 After the dot-division processing, four small neighborhoods are formed, wherein the four small neighborhoods are D respectively 1 、D 2 、D 3 And D 4 Small neighborhood D 1 The point in (a) is P 1 、P 2 And P 3 Small neighborhood D 2 The point in (a) is P 4 And P 5 Small neighborhood D 3 The point in (a) is P 6 And P 7 Small neighborhood D 4 The point in (a) is P 8 、P 9 And P 10 ；
Step b4, calculating the gray value of each adjacent point in the neighborhood of any point and d of each adjacent point aiming at each small neighborhood in a plurality of small neighborhoods corresponding to any point i Gray difference value between gray values of 1 st adjacent point in direction, and sum value of all gray difference values of all obtained small adjacent points is taken as d of any point i Gray scale variation value in direction; wherein, each adjacent point has 8 directions, namely 1.ltoreq.i.ltoreq.8, and the 8 directions of each adjacent point are respectively the direction d 1 ～d 8 And the angle between two adjacent directions is 45 degrees, e.g. d of point P 1 The direction is from the point P as a starting point and faces vertically upwards; d of point P 2 The direction is from point P as the starting point, relative to d 1 The right side of the direction is inclined 45 degrees; d of point P 3 The direction is from point P as the starting point, relative to d 2 The right side of the direction is inclined by 45 degrees, and the other remaining directions are analogized in turn; then, the following processing is performed for 10 total neighbors in the four small neighbors of the point P:
for small neighborhood D 1 Three adjacent points P in (3) 1 、P 2 And P 3 Respectively calculating adjacent points P 1 Gray value of (2) and the adjacent point P 1 At d 1 Gray level difference value between gray level values of 1 st adjacent point in direction and calculating adjacent point P 2 Gray value of (2) and the adjacent point P 2 At d 1 Gray difference between gray values of 1 st adjacent point in direction and calculation of adjacent point P 3 Ash of (2)Degree value and the adjacent point P 3 At d 1 Gray level difference between gray level values of 1 st adjacent point in the direction;
according to as-calculated small neighborhood D 1 Three adjacent points in d 1 Respectively calculating d of all adjacent points in the remaining 3 small neighborhoods in a mode of gray level difference values corresponding to directions 1 Finally, the gray difference values corresponding to all the adjacent points in the four calculated neighbors are summed to obtain a sum value, namely the point P is d 1 Gray scale variation value in direction;
then according to the same calculation point P as d 1 In the same manner as the gradation change value in the direction, the point P is calculated in the remaining seven directions (d 2 Direction d 8 Direction) of the gray value in the direction;
step b5, taking the direction corresponding to the gray level variation value with the minimum value as the point direction of any point, and taking the direction corresponding to the gray level variation value with the maximum value as the direction perpendicular to the point direction of any point;
by the above sum calculation of the gray values in 8 directions for the point P, it is assumed that the obtained point P is at d 3 The gray level change value in the direction is the gray level change value with the minimum value, and the point P is d 6 The gray level change value in the direction is the gray level change value having the maximum value, then d will be here 3 The direction is taken as the point direction of the point P, and d is taken as 6 The direction is taken as the point direction d with the point P 3 A direction perpendicular to the first direction;
and b6, obtaining the dot directions of all the dots in the fingerprint image after rasterization and the directions perpendicular to the dot directions of each dot according to the modes of the steps b3 to b 5. That is, according to the above-described calculation processing for the dot direction of the dot P and the direction perpendicular to the dot direction thereof, the dot directions of all the dots in the fingerprint image after rasterization and the direction perpendicular to the dot direction of each dot can be obtained.
In this embodiment, all points around any point in the fingerprint image after rasterization are divided into a plurality of small neighborhoods, then the point direction of the any point and the direction perpendicular to the shop direction are calculated, so that the specific gravity occupied by the gray value variation between a single pair of adjacent points in the obtained whole gray value variation value and value is reduced, the fingerprint image obtained based on the method has better noise resistance, and the sequentially calculated pattern (including the point direction and the direction perpendicular to the point direction) about any point in the fingerprint image after rasterization shows higher stability, thereby improving the fingerprint recognition accuracy of the subsequent driver about the logistics vehicle.
Of course, in this implementation, when it is determined that the logistics vehicle deviates from the cargo distribution planning path of any cargo, and the pre-collected fingerprint information of the driver of the logistics vehicle is inconsistent with the fingerprint information collected in real time, an alarm prompt of cargo transportation risk is made to the logistics vehicle monitor.
While the preferred embodiments of the present invention have been described in detail, it is to be clearly understood that the same may be varied in many ways by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (4)
1. The logistics distribution safety protection method for acquiring the real-time motion trail of the goods is characterized by comprising the following steps of:
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 to-be-delivered goods, wherein the goods basic information comprises names of the corresponding to-be-delivered goods and tracing codes of the to-be-delivered goods;
s2, constructing a logistics vehicle carrying information database responsible for transporting the goods to be distributed according to the goods basic information database; the logistics vehicle carrying information database comprises a plurality of logistics vehicle basic information aiming at each to-be-distributed goods, wherein the logistics vehicle basic information comprises logistics vehicle driving license information and logistics vehicle transportation license information for bearing the corresponding to-be-distributed goods; each goods to be distributed corresponds to a logistics vehicle;
step S3, forming a cargo distribution planning path set for all cargoes to be distributed according to the starting place and destination of each cargo to be distributed; the goods delivery planning path set comprises a plurality of goods delivery planning paths aiming at different goods to be delivered, and each goods delivery planning path corresponds to the goods basic information of the goods one by one;
s4, acquiring real-time motion tracks of all logistics vehicles in transportation;
step S5, detecting whether deviation occurs between the real-time motion track of the logistics vehicle and the goods delivery planning path of any goods transported by the logistics vehicle or not:
when the deviation occurs, the process goes to step S6; otherwise, go to step S4;
step S6, executing corrective measures on the motion trail of the logistics vehicle so that the motion trail of the logistics vehicle after correction matches with the goods delivery planning path of any goods;
the logistics distribution safety protection method for acquiring the real-time motion trail of the goods further comprises the following steps:
step a1, pre-collecting fingerprint information of a driver who drives the logistics vehicle and is determined to be scheduled;
step a2, the logistics vehicle collects fingerprint information of a driver of the logistics vehicle placed on a steering wheel in real time during the process of transporting goods;
carrying out denoising pretreatment on the fingerprint information acquired in real time, and taking the fingerprint information subjected to denoising pretreatment as the fingerprint information acquired in real time for matching judgment;
step a3, carrying out real-time matching judgment on the pre-acquired fingerprint information of the logistics vehicle driver and the real-time acquired fingerprint information:
when the two are consistent, the step a2 is carried out; otherwise, feeding back a driving risk warning prompt for replacement of the logistics vehicle driver to a logistics vehicle monitoring personnel;
the denoising pretreatment process of the fingerprint information acquired in real time comprises the following steps of b1 to b6:
step b1, performing rasterization and slicing treatment on an image corresponding to the fingerprint information acquired in real time to obtain a plurality of grids containing fingerprint area images; the method comprises the steps of performing rasterization slicing processing on an image, wherein the grids of which the inside is completely filled with a fingerprint area image and the grids of which the inside is filled with a partial fingerprint area image are reserved, and the grids of which the inside is not filled with the fingerprint area image are not reserved;
step b2, taking the image formed by the grids containing the fingerprint area image as a rasterized fingerprint image;
step b3, selecting any point in the rasterized fingerprint image, and dividing the points around any point into a plurality of small neighborhoods; wherein each point around any one point has a small neighborhood corresponding to the small neighborhood;
step b4, calculating the gray value of each adjacent point in the neighborhood of any point and d of each adjacent point aiming at each small neighborhood in a plurality of small neighborhoods corresponding to any point i Gray difference value between gray values of 1 st adjacent point in direction, and sum value of all gray difference values of all obtained small adjacent points is taken as d of any point i The gray level change value in the direction is more than or equal to 1 and less than or equal to 8; and the included angle between two adjacent directions is 45 degrees;
step b5, taking the direction corresponding to the gray level variation value with the minimum value as the point direction of any point, and taking the direction corresponding to the gray level variation value with the maximum value as the direction perpendicular to the point direction of any point;
and b6, obtaining the dot directions of all the dots in the fingerprint image after rasterization and the directions perpendicular to the dot directions of each dot according to the modes of the steps b3 to b 5.
2. The method for protecting logistics distribution safety by acquiring real-time motion trail of goods according to claim 1, wherein in step S6, the corrective action is to prompt a logistics vehicle driver to transport goods according to the planned path of goods distribution of any goods.
3. The method for protecting logistics distribution safety by acquiring real-time motion trajectories of cargoes according to claim 1, wherein in step S6, the corrective measures are:
collecting current position information of a logistics vehicle;
acquiring destination position information of goods corresponding to goods distribution path planning which relatively generates deviation of movement tracks of logistics vehicles;
and re-planning a delivery path according to the collected logistics vehicle current position information and the destination position information of the goods, and taking the re-planned delivery path as the latest delivery planning path for the goods.
4. The logistics distribution safety protection method for acquiring real-time motion trajectories of goods according to claim 1, further comprising: when the logistics vehicle is judged to deviate from the cargo distribution planning path of any cargo, and the pre-collected fingerprint information of the logistics vehicle driver is inconsistent with the real-time collected fingerprint information, an alarm prompt of cargo transportation risk is given to logistics vehicle monitoring personnel.
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