Intelligent logistics transportation scheduling method

Abstract

The invention relates to the field of intelligent logistics, and discloses an intelligent logistics transportation scheduling method. The method comprises the steps of obtaining a delivery order, a delivery vehicle position and a first video stream; configuring the contours of the goods of which the bar codes are not identified as second goods; converting the goods of the delivery order corresponding to the second goods according to the contour size of the unique size into first goods; marking the sequence of the sorting point positions in the dispatching transportation path, and configuring cargoes corresponding to the sorting point positions; configuring a carrying list according to the first sub-video stream and the delivery order; and configuring a cargo marking frame in the first video stream according to the carrying sequence of the carrying list. According to the invention, through the AR technology, the real-time first video stream collected by the AR glasses and the image seen by the AR glasses are combined to realize intelligent logistics transportation scheduling, and the identification, classification and distribution task optimization of couriers on piles of goods are increased, so that more reasonable intelligent logistics transportation scheduling is realized.

Description

Technical Field

[0001] The present invention relates to the field of intelligent logistics, and particularly to an intelligent logistics transportation scheduling method. Background Art

[0002] AR glasses are the future development direction. With the launch of the AR glasses Apple Vision Pro by Apple, we increasingly hope to seek more usage scenarios for AR glasses. Usually, couriers use the mobile phones in their hands or mobile phone-like scanning machines to record the orders of goods. However, it is very likely that the couriers have both hands holding packages, or each hand holds one or two packages. The courier can no longer achieve a better balance between operating the transported packages and operating the mobile phone.

[0003] Well, but if it is just the combination of traditional AR glasses and couriers, at most it only has the functions of scanning a code and displaying data. We more hope that AR glasses can help couriers to achieve practical functions such as logistics scheduling planning, inspection, inventory, and identification of express goods, so as to improve the delivery efficiency of couriers and the satisfaction of users.

[0004] Therefore, there is a need for an intelligent logistics transportation scheduling method that can use AR functions to assist couriers in identifying goods, transporting goods, and better displaying goods information. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide an intelligent logistics transportation scheduling method that can use AR functions to assist couriers in identifying goods, transporting goods, and better displaying goods information.

[0006] Based on this, the present invention combines the first video stream of AR with the delivery order to achieve automatic inventory of goods. And, based on the inventoried goods, a short-term handling list is output, and the courier is prompted to complete the handling of goods, realizing a more intelligent goods transportation scheduling.

[0007] In the first aspect, an intelligent logistics transportation scheduling method of the present invention includes Obtaining a delivery order, the position of a delivery vehicle, and a first video stream, wherein the delivery order includes the barcode and contour size of goods; According to the first video stream, configuring the goods contour corresponding to the barcode of the goods in the delivery vehicle recognized as the first goods, and configuring the goods contour without recognized barcode as the second goods; Judging whether the contour size of the second goods in the delivery order is a unique size. If it is a unique size, then converting the second goods according to the goods of the delivery order corresponding to the contour size of the unique size into the first goods; Configure the scheduling transportation route according to the delivery order, configure the sorting point positions within the scheduling transportation route, and mark the order of the sorting point positions within the scheduling transportation route, and configure the goods corresponding to the sorting point positions; Based on the sorting point position corresponding to the current delivery vehicle position and the order of the sorting point positions, when the delivery vehicle position is within the sorting point position, configure the first video stream as the first sub-video stream; configure the handling list according to the first sub-video stream and the delivery order; Configure the goods annotation boxes in the first video stream according to the handling order of the handling list.

[0008] For an intelligent logistics transportation scheduling method of the present invention, wherein, determining whether the contour size of the second goods in the delivery order is a unique size includes: S1.1. Arrange the lengths of all the second goods from largest to smallest; S1.2. Calculate the change rate of the lengths of two adjacent second goods, S1.3. Determine whether the change rates of the second goods with the largest and smallest lengths and the adjacent second goods exceed the change threshold. If so, mark the second goods that exceed as having 1 abrupt point; S1.4. Determine whether the change rates of a certain second good other than the largest and smallest lengths and the adjacent second goods before and after other than the largest and smallest lengths both exceed the change threshold. If so, mark the second goods that exceed as having 1 abrupt point; S2.1. Arrange the widths of all the second goods from largest to smallest; S2.2. Calculate the change rate of the widths of two adjacent second goods, S2.3. Determine whether the change rates of the second goods with the largest and smallest widths and the adjacent second goods exceed the change threshold. If so, mark the second goods that exceed as having 1 abrupt point; S2.4. Determine whether the change rates of a certain second good other than the largest and smallest widths and the adjacent second goods before and after other than the largest and smallest widths both exceed the change threshold. If so, mark the second goods that exceed as having 1 abrupt point; S3.1. Arrange the heights of all the second goods from largest to smallest; S3.2. Calculate the change rate of the heights of two adjacent second goods, S3.3. Determine whether the change rates of the second goods with the largest and smallest heights and the adjacent second goods exceed the change threshold. If so, mark the second goods that exceed as having 1 abrupt point; S3.4. Determine whether the change rates of a certain second cargo other than the highest and lowest heights with the second cargos adjacent before and after it, excluding the highest and lowest heights, all exceed the change threshold. If they do, mark the second cargo that exceeds as having 1 abrupt point. S4.1. Determine the second cargo with an abrupt point quantity greater than the quantity threshold as the second cargo with the contour dimension of the unique size.

[0009] Among them, the quantity threshold can be 1, 2, or 3 abrupt points.

[0010] An intelligent logistics transportation scheduling method of the present invention, wherein determining whether the contour dimension of the second cargo in the distribution order is the unique size includes: S1.1. Arrange the lengths of all the second cargos from largest to smallest. S1.2. Calculate the change rate of the lengths of two adjacent second cargos. S1.3. Construct a first line graph with the lengths of multiple second cargos. S1.4. Determine whether the change rates of a certain second cargo other than the longest and shortest lengths with the second cargos adjacent before and after it, excluding the longest and shortest lengths, all exceed the change threshold. If they do not, configure a connection point with the average value of the lengths of the two second cargos between the above two second cargos, and configure a first connection in the first line graph according to the first connection point and the last connection point of the multiple connection points with the most adjacent continuations. Define the ordinate position at the same abscissa position of the first connection in the first line graph and the length of the second cargo as the comparison point of the length of the second cargo; determine whether the percentage of the difference between the length of each second cargo and its comparison point is greater than the percentage threshold. If it is, mark the second cargo that exceeds as having 1 abrupt point. S2.1. Arrange the widths of all the second cargos from largest to smallest. S2.2. Calculate the change rate of the widths of two adjacent second cargos. S2.3. Construct a second line graph with the widths of multiple second cargos. S2.4. Determine whether the change rates of a certain second cargo other than the widest and narrowest widths with the second cargos adjacent before and after it, excluding the widest and narrowest widths, all exceed the change threshold. If they do not, configure a connection point with the average value of the widths of the two second cargos between the above two second cargos, and configure a second connection in the second line graph according to the first connection point and the last connection point of the multiple connection points with the most adjacent continuations. Define the vertical coordinate position of the second connection line at the same abscissa position as the width of the second broken line graph and the second cargo as the comparison point of the width of the second cargo; determine whether the percentage of the difference between the width of each second cargo and its comparison point is greater than the percentage threshold. If it is greater, mark the second cargo that exceeds as having 1 abrupt point; S3.1. Arrange the heights of all the second cargos from largest to smallest; S3.2. Calculate the change rate of the heights of two adjacent second cargos; S3.3. Construct a third broken line graph with the heights of multiple second cargos; S3.4. Determine whether the change rates of a certain second cargo except the one with the largest height and the smallest height and the adjacent second cargos before and after except the one with the largest height and the smallest height both exceed the change threshold. If not, configure a connection point with the average value of the heights of the two second cargos between the above two second cargos, and configure a third connection line in the third broken line graph according to the first connection point and the last connection point of the multiple connection points with the largest number of adjacent continuations; Define the vertical coordinate position of the third connection line at the same abscissa position as the height of the second cargo in the third broken line graph as the comparison point of the height of the second cargo; determine whether the percentage of the difference between the height of each second cargo and its comparison point is greater than the percentage threshold. If it is greater, mark the second cargo that exceeds as having 1 abrupt point; S4.1. Determine the second cargo with the number of abrupt points greater than the number threshold as the second cargo with the profile size of the unique size.

[0011] For an intelligent logistics transportation scheduling method of the present invention, when the position of the first cargo converted from the second cargo with the profile size of the unique size in the delivery order does not match the position of the barcode of the first cargo in the delivery order, increase the above-mentioned number threshold and / or increase the above-mentioned change threshold, and re-run the steps of the method for identifying the second cargo with the unique size.

[0012] For an intelligent logistics transportation scheduling method of the present invention, based on the sorting point position corresponding to the current delivery vehicle position and the order of the sorting point positions, configure the first video stream as the first sub-video stream when the delivery vehicle position is within the sorting point position; configure a handling list according to the first sub-video stream and the delivery order, including: When the delivery vehicle arrives at the sorting point, the handling list for the courier to transport the goods at this sorting point position for each trip can be: Obtain the upper limit of the courier's single transportation, where the upper limit of the single transportation includes the upper limit of the maximum transportation volume and the upper limit of the maximum value transportation; Determine whether the goods in the first sub-video stream include all the first goods corresponding to the sorting point location. If not, decrease the quantity threshold and / or the change threshold, and jump to the step of converting the second goods into the first goods according to the goods of the delivery order corresponding to the contour size of the unique size, where the degree of decrease depends on the order of the sorting point location. The more forward the order, the more it decreases; the more backward the order, the less it decreases. If so, use the enumeration method, convolutional neural network, or AI large model to output the transportation plan corresponding to the sorting point according to the total goods corresponding to the sorting point and the upper limit of single transportation. Configure the goods transported by the sorting point each time according to the transportation plan.

[0013] In a second aspect, an intelligent logistics transportation scheduling system of the present invention includes AR glasses, and the AR glasses include: An input module for obtaining a delivery order, the position of a delivery vehicle, and a first video stream, where the delivery order includes the barcode and contour size of the goods. A processor for configuring the goods contour corresponding to the barcode of the goods in the recognized delivery vehicle as the first goods according to the first video stream, and configuring the goods contour without a recognized barcode as the second goods; determining whether the contour size of the second goods in the delivery order is a unique size. If it is a unique size, converting the second goods into the first goods according to the goods of the delivery order corresponding to the contour size of the unique size; configuring a scheduling transportation path according to the delivery order, configuring sorting point positions in the scheduling transportation path, and marking the order of the sorting point positions in the scheduling transportation path, and configuring the goods corresponding to the sorting point positions; based on the sorting point position corresponding to the current delivery vehicle position and the order of the sorting point positions, configuring the first video stream as the first sub-video stream when the delivery vehicle position is within the sorting point position; configuring a handling list according to the first sub-video stream and the delivery order; configuring a goods annotation box in the first video stream according to the handling order of the handling list. A display for displaying the first video stream after the configured goods annotation box.

[0014] In an intelligent logistics transportation scheduling system of the present invention, determining whether the contour size of the second goods in the delivery order is a unique size includes: S1.1. Arrange the lengths of all the second goods from largest to smallest. S1.2. Calculate the change rate of the lengths of two adjacent second goods. S1.3. Determine whether the change rate of the second goods with the largest and smallest lengths and the adjacent second goods exceeds the change threshold. If it exceeds, mark the exceeded second goods as having 1 abrupt point. S1.4. Determine whether the change rates of a certain second good other than the longest and the shortest in length with the second goods adjacent before and after it (excluding the longest and the shortest in length) all exceed the change threshold. If so, mark the second goods that exceed as having 1 abrupt point. S2.1. Arrange the widths of all the second goods in descending order. S2.2. Calculate the change rate of the widths of two adjacent second goods. S2.3. Determine whether the change rates of the second goods with the largest and the smallest widths with the adjacent second goods exceed the change threshold. If so, mark the second goods that exceed as having 1 abrupt point. S2.4. Determine whether the change rates of a certain second good other than the largest and the smallest in width with the second goods adjacent before and after it (excluding the largest and the smallest in width) all exceed the change threshold. If so, mark the second goods that exceed as having 1 abrupt point. S3.1. Arrange the heights of all the second goods in descending order. S3.2. Calculate the change rate of the heights of two adjacent second goods. S3.3. Determine whether the change rates of the second goods with the largest and the smallest heights with the adjacent second goods exceed the change threshold. If so, mark the second goods that exceed as having 1 abrupt point. S3.4. Determine whether the change rates of a certain second good other than the largest and the smallest in height with the second goods adjacent before and after it (excluding the largest and the smallest in height) all exceed the change threshold. If so, mark the second goods that exceed as having 1 abrupt point. S4.1. Determine the second goods with the number of abrupt points greater than the quantity threshold as the second goods with the contour dimensions of the unique size.

[0015] Among them, the quantity threshold can be 1, 2, or 3 abrupt points.

[0016] In an intelligent logistics transportation scheduling system of the present invention, determining whether the contour dimensions of the second goods in the distribution order are of a unique size includes: S1.1. Arrange the lengths of all the second goods in descending order. S1.2. Calculate the change rate of the lengths of two adjacent second goods. S1.3. Construct a first line graph with the lengths of multiple second goods. S1.4. Determine whether the change rates of a certain second good other than the longest and the shortest in length and the second goods adjacent before and after it other than the longest and the shortest in length both exceed the change threshold. If not, configure a connection point with the average value of the lengths of the two second goods between the above two second goods, and configure the first connection on the first line graph according to the first connection point and the last connection point of the most adjacent and continuous connection points; Define the vertical coordinate position at the same abscissa of the length of the first connection on the first line graph and the length of the second good as the comparison point of the length of the second good; determine whether the percentage of the difference between the length of each second good and its comparison point is greater than the percentage threshold. If so, mark the second good that exceeds it as having 1 abrupt point; S2.1. Arrange the widths of all second goods from largest to smallest; S2.2. Calculate the change rate of the widths of two adjacent second goods; S2.3. Construct a second line graph for the widths of multiple second goods; S2.4. Determine whether the change rates of a certain second good other than the widest and the narrowest in width and the second goods adjacent before and after it other than the widest and the narrowest in width both exceed the change threshold. If not, configure a connection point with the average value of the widths of the two second goods between the above two second goods, and configure the second connection on the second line graph according to the first connection point and the last connection point of the most adjacent and continuous connection points; Define the vertical coordinate position at the same abscissa of the second connection on the second line graph and the width of the second good as the comparison point of the width of the second good; determine whether the percentage of the difference between the width of each second good and its comparison point is greater than the percentage threshold. If so, mark the second good that exceeds it as having 1 abrupt point; S3.1. Arrange the heights of all second goods from largest to smallest; S3.2. Calculate the change rate of the heights of two adjacent second goods; S3.3. Construct a third line graph for the heights of multiple second goods; S3.4. Determine whether the change rates of a certain second good other than the highest and the lowest in height and the second goods adjacent before and after it other than the highest and the lowest in height both exceed the change threshold. If not, configure a connection point with the average value of the heights of the two second goods between the above two second goods, and configure the third connection on the third line graph according to the first connection point and the last connection point of the most adjacent and continuous connection points; Define the vertical coordinate position of the third connection line at the same abscissa position as the height of the second good in the third broken line graph as the comparison point of the height of the second good; determine whether the percentage of the gap between the height of each second good and its comparison point is greater than the percentage threshold. If it is greater, mark the second good that exceeds it as having 1 abrupt point; S4.1. Determine that the second good with the number of abrupt points greater than the quantity threshold is the second good with the contour dimension of the unique size.

[0017] Among them, the quantity threshold can be 1, 2, or 3 abrupt points.

[0018] Among them, the percentage threshold can be 20%.

[0019] For an intelligent logistics transportation scheduling system of the present invention, when the position of the first good transformed from the second good with the contour dimension of the unique size in the delivery order does not match the position of the barcode of the first good in the delivery order, increase the above-mentioned quantity threshold and / or increase the above-mentioned change threshold, and re-run the steps of the method for identifying the second good with the unique size.

[0020] For an intelligent logistics transportation scheduling system of the present invention, based on the sorting point position corresponding to the current delivery vehicle position and the order of the sorting point positions, configure the first video stream as the first sub-video stream when the delivery vehicle position is within the sorting point position; configure the handling list according to the first sub-video stream and the delivery order, including: When the delivery vehicle arrives at the sorting point, the handling list for the courier to transport the goods at this sorting point position for each trip can be: Obtain the upper limit of the courier's single transportation, where the upper limit of the single transportation includes the upper limit of the maximum transportation volume and the upper limit of the maximum value transportation; Determine whether the goods in the first sub-video stream include all the first goods corresponding to the sorting point position. If not, reduce the quantity threshold and / or the change threshold, and jump to the step of converting the second good into the first good according to the goods in the delivery order corresponding to the contour dimension of the unique size. The degree of reduction depends on the order of the sorting point positions. The earlier the order, the more it is reduced, and the later the order, the less it is reduced; if so, use the enumeration method, convolutional neural network, or AI large model to output the transportation plan corresponding to the sorting point according to the total goods corresponding to the sorting point and the upper limit of the single transportation; Configure the goods transported by the sorting point each time according to the transportation plan.

[0021] The upper limit of the maximum transportation volume, for example, 10 express deliveries at a time.

[0022] The upper limit of the maximum value transportation, for example, up to 20,000 yuan.

[0023] The difference between an intelligent logistics transportation scheduling method of the present invention and the prior art lies in that the intelligent logistics transportation scheduling method of the present invention combines the real-time first video stream collected by an AR glasses through AR technology, and combines the image seen by the AR glasses to realize intelligent logistics transportation scheduling, improving the courier's recognition, classification, and optimization of the distribution tasks for piled-up goods, so as to achieve more reasonable intelligent logistics transportation scheduling.

[0024] The following further describes an intelligent logistics transportation scheduling method of the present invention with reference to the accompanying drawings. Description of the Drawings

[0025] Figure 1 It is a flowchart of an intelligent logistics transportation scheduling method. Specific Embodiments

[0026] As Figure 1 shown, in the first aspect, an intelligent logistics transportation scheduling method of the present invention includes; Obtain a delivery order, the position of a delivery vehicle, and a first video stream, where the delivery order includes the barcode and contour dimensions of goods; According to the first video stream, configure the goods contour corresponding to the barcode of the goods in the delivery vehicle recognized as the first goods, and configure the goods contour without a recognized barcode as the second goods; Judge whether the contour dimension of the second goods in the delivery order is a unique dimension. If it is a unique dimension, convert the second goods corresponding to the goods of the delivery order according to the contour dimension of the unique dimension into the first goods; Configure a dispatching transportation route according to the delivery order, configure the sorting point positions in the dispatching transportation route, mark the order of the sorting point positions in the dispatching transportation route, and configure the goods corresponding to the sorting point positions; Based on the sorting point position corresponding to the current delivery vehicle position and the order of the sorting point positions, configure the first video stream as the first sub-video stream when the delivery vehicle position is within the sorting point position; configure a handling list according to the first sub-video stream and the delivery order; Configure the goods annotation frames in the first video stream according to the handling order of the handling list.

[0027] The present invention combines the real-time first video stream collected by an AR glasses through AR technology, and combines the image seen by the AR glasses to realize intelligent logistics transportation scheduling, improving the courier's recognition, classification, and optimization of the distribution tasks for piled-up goods, so as to achieve more reasonable intelligent logistics transportation scheduling.

[0028] Specifically, the present invention uses the position of the delivery vehicle, the first video stream collected by the AR glasses, and the delivery order issued by the express station to the courier as data sources for corresponding scheduling and corresponding task planning to improve the transportation efficiency of the courier. Finally, by processing the first video stream displayed on the AR glasses, a goods annotation box related to the goods is prompted to assist the courier in operations such as picking up, transporting, and scheduling the goods, thereby improving the transportation efficiency of the courier.

[0029] For example, if a courier needs to transport 5 goods at the same time, including 1 special good and 4 ordinary goods. Among them, the special good can be extremely valuable, extremely easy to lose, extremely large, and / or extremely heavy. Then, the scheduling plan is definitely to deliver this special good first and then transport other goods according to the principle of the optimal path. Or, based on the principle of the optimal path, focus on carrying the special good and non-focus on carrying other ordinary goods. Focus on carrying can be holding with one hand, holding with both hands, carrying alone in a backpack, carrying independently, etc.

[0030] However, based on this transportation requirement, how to minimize the courier's back-and-forth trips between the destination and the delivery vehicle, how to enable the courier to clearly inventory, align, and verify the delivery order with the goods in the delivery vehicle, reduce unnecessary inspections and searches, thereby reducing customer complaints and improving the work efficiency of the courier is the key point achieved through the AR glasses this time.

[0031] Among them, the delivery order, the position of the delivery vehicle, and the first video stream are obtained. Among them, the delivery order includes the bar code and contour size of the goods. It can be understood that the delivery order is a list of the delivery tasks of the goods in this delivery vehicle issued by the express station to the courier. The position of the delivery vehicle can be collected by the GPS module configured on the delivery vehicle or the AR glasses. The first video stream can be a live video stream collected in real time by the AR glasses. Among them, the delivery order includes data such as the bar code of each good, the contour size, the delivery address, the contact person, the phone number, the product details, whether to purchase insurance for price protection and compensation, etc.

[0032] Among them, according to the first video stream, the cargo contour corresponding to the cargo barcode recognized in the delivery vehicle is configured as the first cargo, and the cargo contour without a recognized barcode is configured as the second cargo. It can be understood that this can be regarded as the inventory check of the goods before the first departure after the courier receives the delivery order. The courier only needs to observe the goods with the AR glasses during the process of moving the goods from the courier station to the delivery vehicle, and use the visual algorithm of the AR glasses to establish a three-dimensional model of all the goods during the process of the goods falling to the ground and being picked up, and during the rolling process after the goods fall to the ground. This is similar to the method of establishing a three-dimensional model through real-time visual images in Tesla's HW visual algorithm. Each three-dimensional model is the cargo of a courier. However, one or two sides of each cargo have barcodes, and not all six sides have barcodes. This requires taking advantage of the different postures and viewing angles of the goods during movement, rolling, transportation, picking up and placing to scan as many sides of this obtained surface as possible, so as to scan out the barcode of this cargo. Among them, the present invention should also further track the three-dimensional model of the goods pressed below based on the road surface bumps and the real-time speed of the delivery vehicle, so that even if this cargo is not observed, the three-dimensional model of this cargo can be seen through in all the corresponding three-dimensional models.

[0033] Of course, a second camera can also be configured in the delivery vehicle to generate a second video stream, that is, the first video stream in the delivery vehicle. The two cameras jointly generate this three-dimensional model. Moreover, by using the rolling of the goods when the delivery vehicle brakes and starts, more scanning opportunities can be realized, so as to scan out more first cargo. The first camera is the camera on the AR glasses.

[0034] Among them, it is judged whether the contour size of the second cargo in the delivery order is a unique size. If it is a unique size, then the second cargo is converted into the first cargo according to the cargo of the delivery order corresponding to the contour size of the unique size. It can be understood that the unique size does not mean that it is a specific, exclusive and unique size, but that the length, width and height of this second cargo are at a relatively prominent point. That is, it is defined that the goods are all rectangular (length > width > height).

[0035] Method 1 for identifying the second cargo with a unique size is as follows: S1. Arrange the lengths of all the second cargo from largest to smallest; S2. Calculate the change rate of the lengths of two adjacent second cargo; S3. Judge whether the change rates of the second cargo with the largest length and the second cargo with the smallest length and the adjacent second cargo exceed the change threshold. If they exceed, then the second cargo that exceeds is determined as the second cargo with the contour size of the unique size; S4. Determine whether the change rates of a certain second good other than the longest and the shortest in length with the second goods adjacent before and after it (excluding the longest and the shortest in length) all exceed the change threshold. If they do, determine the second good with the exceeded change rate as the second good with a unique size contour dimension.

[0036] Among them, the change threshold can be 50%, that is, an adjacent change in length exceeding 50% is considered a second good with a unique size contour dimension. For example, as shown in the following table:

[0037] That is, the calculation method of the adjacent change rate is: after arranging the lengths of the second goods from largest to smallest, configure the adjacent change rate between adjacent second goods according to: (length of the previous second good - length of the next second good) / length of the previous second good.

[0038] Among them, the condition for determining the second good with a unique size contour dimension is that its adjacent change rates all exceed the change rate threshold to be determined as the second good with a unique size contour dimension. That is, in the "whether it exceeds the change rate threshold" in the table, there should be no "no" to be determined as the second good with a unique size contour dimension.

[0039] Through the above method, the present invention can select the second goods with larger change rates and more prominent sizes according to the magnitude of the change rate of length, so as to facilitate alignment for marking and size recognition, and facilitate the courier observing through the AR glasses to prioritize positioning and searching for them, improving the freight efficiency.

[0040] Among them, the above table can directly replace the length with the width and height as an example for other steps, and will not be elaborated further hereinafter.

[0041] The method 2 for identifying the second good with a unique size is as follows: S1.1. Arrange the lengths of all the second goods from largest to smallest; S1.2. Calculate the change rate of the lengths of two adjacent second goods, S1.3. Determine whether the change rates of the second goods with the longest and the shortest lengths with the adjacent second goods exceed the change threshold. If they do, mark the second goods with the exceeded change rate as having 1 prominent point; S1.4. Determine whether the change rates of a certain second good other than the longest and the shortest in length with the second goods adjacent before and after it (excluding the longest and the shortest in length) all exceed the change threshold. If they do, mark the second goods with the exceeded change rate as having 1 prominent point; S2.1. Arrange the widths of all the second goods from largest to smallest; S2.2. Calculate the change rate of the widths of two adjacent second goods, S2.3. Determine whether the change rate between the second goods with the largest width and the second goods with the smallest width and the adjacent second goods exceeds the change threshold. If it exceeds, mark the second goods that exceed as having 1 abrupt point. S2.4. Determine whether the change rate between a certain second good other than the second goods with the largest width and the second goods with the smallest width and the adjacent second goods before and after it other than the second goods with the largest width and the second goods with the smallest width both exceed the change threshold. If it exceeds, mark the second goods that exceed as having 1 abrupt point. S3.1. Arrange the heights of all the second goods from largest to smallest. S3.2. Calculate the change rate of the heights of two adjacent second goods. S3.3. Determine whether the change rate between the second goods with the largest height and the second goods with the smallest height and the adjacent second goods exceeds the change threshold. If it exceeds, mark the second goods that exceed as having 1 abrupt point. S3.4. Determine whether the change rate between a certain second good other than the second goods with the largest height and the second goods with the smallest height and the adjacent second goods before and after it other than the second goods with the largest height and the second goods with the smallest height both exceed the change threshold. If it exceeds, mark the second goods that exceed as having 1 abrupt point. S4.1. Determine the second goods with the number of abrupt points greater than the quantity threshold as the second goods with the contour size of the unique dimension.

[0042] Among them, the quantity threshold can be 1, 2, or 3 abrupt points.

[0043] For the second goods of the present invention, it is respectively counted whether there are abrupt points in the length, width, and height, and then compared with the quantity threshold according to the number of abrupt points of each second good to determine whether this second quantity can be determined as the second good with the contour size of the unique dimension. So as to facilitate grasping and marking of this second good during the transportation and handling of this second good, thereby facilitating the transportation and scheduling of the courier.

[0044] Method 3 for identifying the second goods with the unique dimension is as follows: S1.1. Arrange the lengths of all the second goods from largest to smallest. S1.2. Calculate the change rate of the lengths of two adjacent second goods. S1.3. Construct a first line graph with the lengths of multiple second goods. S1.4. Determine whether the change rate between a certain second good other than the second goods with the largest length and the second goods with the smallest length and the adjacent second goods before and after it other than the second goods with the largest length and the second goods with the smallest length both exceed the change threshold. If not, configure a connection point with the average value of the lengths of the two second goods between the above two second goods, and configure a first connection in the first line graph according to the first connection point and the last connection point of the multiple connection points with the most adjacent continuous quantities. Define the vertical coordinate position of the first connection line at the same abscissa position as the length of the second good in the first broken line graph as the comparison point of the length of the second good; determine whether the percentage of the difference between the length of each second good and its comparison point is greater than the percentage threshold. If it is greater, mark the second good that exceeds as having 1 abrupt point. S2.1. Arrange the widths of all the second goods from largest to smallest. S2.2. Calculate the change rate of the widths of two adjacent second goods. S2.3. Construct a second broken line graph with the widths of multiple second goods. S2.4. Determine whether the change rates of a certain second good except the one with the largest width and the one with the smallest width and the adjacent second goods before and after except the one with the largest width and the one with the smallest width both exceed the change threshold. If not, configure a connection point with the average value of the widths of the two second goods between the above two second goods, and configure a second connection line in the second broken line graph according to the first connection point and the last connection point of the most adjacent consecutive connection points. Define the vertical coordinate position of the second connection line at the same abscissa position as the width of the second good in the second broken line graph as the comparison point of the width of the second good; determine whether the percentage of the difference between the width of each second good and its comparison point is greater than the percentage threshold. If it is greater, mark the second good that exceeds as having 1 abrupt point. S3.1. Arrange the heights of all the second goods from largest to smallest. S3.2. Calculate the change rate of the heights of two adjacent second goods. S3.3. Construct a third broken line graph with the heights of multiple second goods. S3.4. Determine whether the change rates of a certain second good except the one with the largest height and the one with the smallest height and the adjacent second goods before and after except the one with the largest height and the one with the smallest height both exceed the change threshold. If not, configure a connection point with the average value of the heights of the two second goods between the above two second goods, and configure a third connection line in the third broken line graph according to the first connection point and the last connection point of the most adjacent consecutive connection points. Define the vertical coordinate position of the third connection line at the same abscissa position as the height of the second good in the third broken line graph as the comparison point of the height of the second good; determine whether the percentage of the difference between the height of each second good and its comparison point is greater than the percentage threshold. If it is greater, mark the second good that exceeds as having 1 abrupt point. S4.1. Determine the second goods with the number of abrupt points greater than the quantity threshold as the second goods with the contour dimensions of the unique size.

[0045] Among them, the quantity threshold can be 1, 2, or 3 abrupt points.

[0046] Among them, the percentage threshold can be 20%.

[0047] The present invention adopts the method of combining numbers and shapes, and uses the values of the length, width or height of multiple consecutive second goods that are not abrupt points to construct the first connection line, the second connection line, and the third connection line, so as to make the originally large-fluctuating values undergo a relatively broad generalization to a large number and trend determination, so as to obtain a comparison point for comparison with its length, width, and height on the line graph, and compare the comparison point with the length, width, and height of the second goods, so as to find the second goods that do not conform to this change trend and are relatively abrupt, and mark the number of abrupt points for it. Finally, it is determined whether this second good is the second good with the unique size of the contour size based on the number of abrupt points.

[0048] Among them, if it is the unique size, the second goods are converted into the first goods according to the goods of the delivery order corresponding to the contour size of the unique size: the delivery order records the contour size of each good, and the traditional method is to directly convert the second goods into the first goods by scanning the size, but we think that the accuracy of video scanning the size is too low. Therefore, we will first select the second goods with obviously abrupt sizes, and then query the contour size recorded in the delivery order and convert them into the first goods to improve the accuracy of the first goods recognition.

[0049] In addition, if we have already converted it into the first goods, we still need to continuously pay attention to its barcode during the transportation process. If the barcode of this first good does not match the first good identified by the above unique size, the position and corresponding attributes of the delivery order of the first good with the above contour size should be corrected according to the barcode.

[0050] And, in the future, when encountering such problems, make appropriate adjustments to the above various thresholds (the quantity threshold greater than the number of abrupt points, whether the change rate of the second goods exceeds the change threshold).

[0051] That is, when the position of the first good converted from the second good with the unique size of the contour size in the delivery order does not match the position of the barcode of the first good in the delivery order, increase the above quantity threshold and / or increase the above change threshold, and re-run the steps of the method for identifying the second good with the unique size.

[0052] Among them, increasing the above quantity threshold can be to increase the quantity threshold by 10%, and its upper limit shall not exceed 90%.

[0053] Among them, increasing the above change threshold can be to increase the above change threshold by 1, and its upper limit shall not exceed 3. Before the increase, it can be 3, or 2, or 1.

[0054] The present invention corrects the above-mentioned quantity threshold and / or variation threshold by continuously scanning barcodes, which can further increase the threshold for "identifying a second good of a unique size", so as to offset the errors in the length, width, and height dimensions of each second good collected through the video stream due to problems such as shooting angle, shooting focus, shooting distance, etc.

[0055] It should be noted that the length, width, and height dimensions of the second good can be barcodes of each good collected by continuously capturing six sides of each good due to the rolling of the good when the courier's AR glasses see, handle, or pick up the good. It can also be barcodes collected by the camera in the delivery vehicle continuously shooting six sides of each good while observing the rolling and picking up of the good during transportation.

[0056] Moreover, once each good is identified as a first good, it has its own three-dimensional model, and this model will be continuously tracked. For example, if the original order of 5 goods is 12345, after jolting and rolling in the delivery vehicle, the order of the 5 goods becomes 43521 (it can also be a complex order such as some on top of others). The delivery vehicle should be able to always give each good a relatively fixed label for the courier to identify the good and display the AR video of the good in the courier's AR glasses with colors or introduction windows, so as to facilitate the courier to accurately grab the first good corresponding to the delivery order, and thus facilitate the courier to pick up, transport, and dispatch the first good.

[0057] Furthermore, for the tracking of each good during the jolting process of transportation, parameters such as vehicle speed, vehicle acceleration, road surface jolting, good size, and good weight can be collected in real time and input into a convolutional neural network or an AI large model to identify the goods that are completely blocked by other goods and cannot be tracked in real time by the camera during the jolting process. That is, assuming there are three layers of goods, the top layer can be continuously tracked by the camera, a part of the second layer can be displayed and also tracked by the camera, and the bottom layer cannot be tracked by the camera. Then, with the support of the above-mentioned convolutional neural network or AI large model, even if the barcode of this good is not directly recognized after removing the goods on the top layer and the second layer, the position of this good in the delivery order can be accurately output, so as to facilitate the courier to obtain the information of this good through the AR glasses and facilitate the courier's identification, transportation, and dispatch of the goods.

[0058] Among them, the dispatching transportation route is configured according to the delivery order. The sorting point positions are configured within the dispatching transportation route, and the order of the sorting point positions marked within the dispatching transportation route can be understood as follows: For example, all the delivery orders of the courier are to be delivered to Wangfujing Pedestrian Street. Under normal circumstances, the conventional navigation route is generally used as the transportation route. For example, it transports from the southernmost side to the northernmost side of Wangfujing Pedestrian Street, with Wangfujing Library, New Dong'an, The Place, and Galeries Lafayette Wangfujing as sorting points A, B, C, and D respectively. The delivery vehicle stops one by one in the order of these sorting points, and the courier takes out the corresponding goods and transports them to the designated positions of the delivery order respectively. Among them, the sorting points A, B, C, and D should be marked on the transportation route to facilitate the courier's transportation.

[0059] Of course, as a variation: The order is based on where the special goods are to be delivered, and that place is the station with a higher order. After determining the station with a higher order, the order of other stations is configured according to the principle of the optimal path.

[0060] For example, if the courier needs to deliver 5 goods at the same time, 1 special good and 4 ordinary goods. Among them, the special good can be especially valuable, especially easy to lose, especially large, and / or especially heavy. Then, the dispatching plan must be to deliver this special good first, and then deliver other goods according to the principle of the optimal path. Or based on the principle of the optimal path, hold the special good with emphasis and hold other ordinary goods without emphasis. Holding with emphasis can be holding with one hand, holding with both hands, carrying in a single backpack, carrying independently, etc.

[0061] Among them, the principle of the optimal path can be the conventional optimal pathfinding navigation principle of the courier.

[0062] Among them, the goods corresponding to the configured sorting point positions can be understood as follows: Compare the delivery positions of all the goods in the delivery order with the distance of each sorting point, and take the sorting point closest to the goods as the goods corresponding to the sorting point position.

[0063] Among them, based on the sorting point position corresponding to the current delivery vehicle position and the order of the sorting point positions, when the delivery vehicle position is within the sorting point positions, the first video stream is configured as the first sub-video stream; According to the first sub-video stream and the delivery order, the handling list is configured, which can be understood as: When the delivery vehicle arrives at the sorting point, the handling list for the courier to transport the goods at this sorting point position for each trip can be: Obtain the upper limit of the courier's single transportation, where the upper limit of the single transportation includes the upper limit of the maximum transportation volume and the upper limit of the maximum value transportation; Determine whether the goods in the first sub-video stream include all the first goods corresponding to the position of the sorting point. If not, output an alarm signal. If yes, output a transportation plan corresponding to the sorting point according to the total goods corresponding to the sorting point and the upper limit of a single transportation by using an enumeration method, a convolutional neural network or an AI large model; The goods transported at each sorting point are configured according to the transport plan.

[0064] The present invention configures a default upper limit for a single transport as described above, so that couriers who should rely on experience to understand how much to take for this trip can throw this problem to the algorithm. Let the enumeration method select different goods that meet the upper limit of a single transport, and perform corresponding arrangements and combinations, so as to obtain a plan with the least number of round trips for the courier as the handling list for this time. The same is true for convolutional neural networks and large AI models, which are not described here one by one. Thereby giving novice couriers a basic guiding handling list, thereby improving delivery efficiency, reducing the burden on couriers, and optimizing the level of cargo scheduling. In addition, the goods are counted through the first sub-video stream corresponding to the sorting point location, so as to know whether the goods are lost or other delivery problems occur, and to detect and alarm in time to increase the user experience.

[0065] Among them, the maximum transportation volume is limited, for example, 10 express deliveries at a time.

[0066] Among them, the maximum value of transportation is capped at, for example, 20,000 yuan.

[0067] Among them, according to the handling order of the handling list, the cargo marking frame in the first video stream is configured, which can be understood as: It should be noted that the first video stream is a video image collected by AR glasses in real time for display on AR glasses, which can be similar to a live broadcast image, and can also be understood as a video image spliced ​​from multiple small segments of video images. The first video stream is the collected video in the early stage, and the video displayed on the AR glasses in the later stage. The meaning of the marking frame of each cargo that can be fed back on the first video stream is that on the AR glasses, the courier can not only see the picture of the cargo, but also clearly see the detailed information of the cargo, and even follow the more intelligent optimal path finding principle. The delivery order for this trip of cargo to be delivered will be marked according to the delivery path. For example, 10 meters forward, the first cargo is delivered, and 15 meters forward, the second cargo is delivered. This can prompt the courier to deliver according to the cargo marking frame to achieve high-quality dispatch of cargo.

[0068] Among them, the data displayed in the cargo marking box may be: the handling order of the handling list, the delivery address, the recipient's name, the recipient's contact number, the item details and / or other remarks.

[0069] Among them, in the first video stream displayed on the AR glasses, it is possible to collect whether the user is walking according to the gyroscope. If the user is walking, the size of the cargo annotation box is reduced to avoid obstructing the user's view of the road conditions; if the user is not walking, that is, standing still, then the size of the cargo annotation box can be increased so that the user can view the cargo information.

[0070] Among them, in the first video stream displayed on the AR glasses, corresponding navigation information can be displayed, that is, navigation information similar to the HUD head-up display of a smart car.

[0071] Among them, the navigation information displayed in the first video stream displayed on the AR glasses can be: Judge whether the time when the same first cargo continuously occupies 30% of the total pixels in the first video stream exceeds 3 seconds. If so, configure the navigation information to be the navigation information from the location of the AR glasses to the recipient address of the first cargo in the delivery order.

[0072] The present invention realizes switching to the exclusive navigation information of the cargo by a courier wearing AR glasses continuously and significantly gazing at the same first cargo, which is convenient for the courier holding the cargo with both hands to operate the data request of the navigation data corresponding to this first cargo.

[0073] Among them, the statistical method for the time of continuously occupying 30% of the total pixels is as follows: Taking the 1080p first video stream as an example, each frame of 1080p has 2.07 million pixels. Then, if the first video stream is a 60-frame video, then, if the same first cargo occupies more than 621,000 pixels in each single frame of the first video stream for more than 180 consecutive frames, it will automatically switch to the navigation data corresponding to the first cargo.

[0074] Among them, the category of the data displayed in the cargo annotation box can be determined according to the size or pixel number or proportion of the cargo annotation box in the first video stream displayed on the AR glasses. For example, in a 1080p first video stream with 2.07 million pixels, if the average pixel number of this cargo annotation box within 3 seconds is less than 100,000 pixels, it is considered small, and only the serial number of the handling order in the handling list is displayed. As the annotation box gets larger and larger, more and more categories of data displayed in the cargo annotation box can be displayed. Those skilled in the art can set it according to actual needs.

[0075] Among them, the order of the handling list can be Arabic numerals such as 1, 2, 3, 4, 5 to represent which transportation. It can also be colors. For example, multiple colors gradually transitioning from the reddest to the whitest are used to represent the goods being transported. This color combination of red, light red, and white can be the color used to smear the outer contours of all the goods in the first video stream seen by the courier wearing the AR glasses, so as to facilitate the courier to quickly find the express delivery that needs to be taken out accurately, improving the delivery efficiency of the courier.

[0076] Among them, the outer contour of the goods marking frame can be exactly the same as the shape of the goods on the image surface displayed in the first video stream of the AR glasses.

[0077] Of course, the present invention can also adjust different thresholds (the quantity threshold greater than the number of abrupt points, whether the change rate of the second goods exceeds the change threshold) according to the sorting point positions in different orders. Specifically, based on the sorting point position corresponding to the current delivery vehicle position and the order of the sorting point positions, when the delivery vehicle position is within the sorting point position, the first video stream is configured as the first sub-video stream; a handling list is configured according to the first sub-video stream and the delivery order, including: When the delivery truck arrives at the sorting point, the handling list for the courier to transport the goods at this sorting point position for each trip can be: Obtain the upper limit of the courier's single transportation, where the upper limit of the single transportation includes the upper limit of the maximum transportation volume and the upper limit of the maximum value transportation. Judge whether the goods in the first sub-video stream include all the first goods corresponding to the sorting point position. If not, reduce the quantity threshold and / or the change threshold, and then jump to the step of converting the second goods corresponding to the delivery order of the goods with the unique size contour into the first goods. The degree of reduction depends on the order of the sorting point positions. The more forward the order, the more it is reduced; the more backward the order, the less it is reduced. If so, use the enumeration method, convolutional neural network, or AI large model to output the transportation plan corresponding to the sorting point according to the total goods corresponding to the sorting point and the upper limit of the single transportation. Configure the goods transported each time at the sorting point according to the transportation plan.

[0078] When the first sub-video stream is at the corresponding sorting point position, the present invention first takes an inventory of all the first goods corresponding to this sorting point position through the first sub-video stream. When not all the first goods are inventoried, it may be that, in a less fortunate situation, the barcodes of some goods are still not scanned by the cameras in the vehicle or the AR glasses. Then, the settings for identifying the second goods with a unique size are relatively too strict, resulting in the courier possibly misjudging that the goods are lost. Then, within a limited range, the quantity threshold and / or the change threshold for the second goods identified to the unique size can be appropriately reduced, thereby reducing unnecessary troubles to a certain extent and increasing the efficiency of the courier's inventory of goods.

[0079] Specifically, the degree of reduction depends on the order of the sorting point positions. The earlier the order, the less the reduction; the later the order, the more the reduction. It can be understood that: we deliver the goods on the delivery order to the customer's home in order. Then, the goods on the delivery truck will inevitably become fewer and fewer as the order of the sorting point positions progresses. Then, in the case where the sorting point position order is relatively early and there are more goods, a relatively strict quantity threshold and / or change threshold should be used to select the second goods of a unique size, so as to more precisely convert it into the first goods. In the case where the sorting point position order is relatively late and there are fewer goods, the quantity threshold and / or change threshold can be appropriately relaxed to select, thus avoiding frequent alarms or error reports, which is beneficial to improving the efficiency of transportation, picking and placing, and scheduling.

[0080] The specific division of more and less can be shown in the following table:

[0081] Among them, the initial value of the quantity threshold can be set manually, such as 1 or 2 or 3, preferably 3.

[0082] Among them, the initial value of the change threshold can be 20% - 90%, preferably 50%.

[0083] The present invention reduces the quantity threshold and / or change threshold according to the position of the above sorting point in the total sorting point, so that it can be relatively strict in the early stage and relatively loose in the later stage to adapt to the process of the goods in the delivery truck changing from more to less, and to control the strictness of selecting the second goods below the unique size. In the early stage, it is controlled with a more strict standard to increase the accuracy of the gray area. In the later stage, when there are fewer goods and the gray area is even smaller, the output efficiency is improved and unnecessary procedural problems are reduced, so as to improve the efficiency of the courier's picking up, identifying, transporting, and scheduling.

[0084] It should be explained that the above gray area is a term in computer algorithms that can be judged or not judged. Then, we adopt the strategy when the sorting point position serial number is in the first 1 / 3, middle 1 / 3, and last 1 / 3 of the total number of sorting points and the first goods are not counted in the first sub-video stream corresponding to the courier's inventory at this sorting point position, so as to reduce the threshold for identifying the first goods, increase the logistics efficiency, and reduce unnecessary lost item alarm problems.

[0085] Second aspect, as Figure 1 shown, an intelligent logistics transportation and scheduling system of the present invention includes an AR glasses, and the AR glasses include: An input module, which is used to obtain a delivery order, a delivery vehicle position, and a first video stream. Among them, the delivery order includes the barcode and contour size of the goods; A processor, which is used to configure the cargo contour corresponding to the cargo barcode recognized in the delivery vehicle as the first cargo according to the first video stream, and configure the cargo contour without a recognized barcode as the second cargo; determine whether the contour size of the second cargo in the delivery order is a unique size, and if it is a unique size, convert the second cargo according to the cargo of the delivery order corresponding to the contour size of the unique size into the first cargo; configure a dispatching transportation route according to the delivery order, configure the sorting point positions in the dispatching transportation route, mark the order of the sorting point positions in the dispatching transportation route, and configure the cargo corresponding to the sorting point positions; based on the sorting point position corresponding to the current delivery vehicle position and the order of the sorting point positions, configure the first video stream as the first sub-video stream when the delivery vehicle position is within the sorting point position; configure a handling list according to the first sub-video stream and the delivery order; configure the cargo annotation boxes in the first video stream according to the handling order of the handling list. A display, which is used to display the first video stream after the configured cargo annotation boxes.

[0086] The present invention combines the real-time first video stream collected by the AR glasses through AR technology and the image seen by the AR glasses to realize intelligent logistics transportation scheduling, which improves the courier's recognition, classification, and optimization of the delivery tasks for piled-up goods, so as to achieve more reasonable intelligent logistics transportation scheduling.

[0087] The above embodiments are only descriptions of the preferred embodiments of the present invention, and do not limit the scope of the present invention. Without departing from the design spirit of the present invention, various deformations and improvements made by those of ordinary skill in the art to the technical solutions of the present invention shall fall within the protection scope determined by the claims of the present invention.

Claims

1. An intelligent logistics transportation scheduling method, characterized in that: including Obtain a delivery order, the position of a delivery vehicle, and a first video stream, where the delivery order includes the barcode and the contour dimensions of the goods; According to the first video stream, configure the goods contour corresponding to the barcode of the goods in the recognized delivery vehicle as the first goods, and configure the goods contour without a recognized barcode as the second goods; Judge whether the contour dimensions of the second goods in the delivery order are unique dimensions. If they are unique dimensions, then convert the goods of the delivery order corresponding to the contour dimensions of the unique dimensions of the second goods into the first goods; Configure a dispatching transportation route according to the delivery order, configure the sorting point positions in the dispatching transportation route, mark the order of the sorting point positions in the dispatching transportation route, and configure the goods corresponding to the sorting point positions; Based on the sorting point position corresponding to the current delivery vehicle position and the order of the sorting point positions, configure the first video stream as the first sub-video stream when the delivery vehicle position is within the sorting point position; configure a handling list according to the first sub-video stream and the delivery order; Configure the goods annotation frames in the first video stream according to the handling order of the handling list.

2. The intelligent logistics transportation scheduling method according to claim 1, wherein: Judging whether the contour dimensions of the second goods in the delivery order are unique dimensions includes: S1.

1. Arrange the lengths of all the second goods from largest to smallest; S1.

2. Calculate the change rate of the lengths of two adjacent second goods, S1.

3. Judge whether the change rates of the second goods with the largest and smallest lengths and the adjacent second goods exceed the change threshold. If they exceed, then mark the exceeded second goods as having 1 abrupt point; S1.

4. Judge whether the change rates of a certain second good except for the largest and smallest lengths and the adjacent second goods before and after except for the largest and smallest lengths both exceed the change threshold. If they exceed, then mark the exceeded second goods as having 1 abrupt point; S2.

1. Arrange the widths of all the second goods from largest to smallest; S2.

2. Calculate the change rate of the widths of two adjacent second goods, S2.

3. Judge whether the change rates of the second goods with the largest and smallest widths and the adjacent second goods exceed the change threshold. If they exceed, then mark the exceeded second goods as having 1 abrupt point; S2.

4. Judge whether the change rates of a certain second good except for the largest and smallest widths and the adjacent second goods before and after except for the largest and smallest widths both exceed the change threshold. If they exceed, then mark the exceeded second goods as having 1 abrupt point; S3.

1. Arrange the heights of all the second goods from largest to smallest; S3.

2. Calculate the change rate of the heights of two adjacent second goods, S3.

3. Judge whether the change rates of the second goods with the largest and smallest heights and the adjacent second goods exceed the change threshold. If they exceed, then mark the exceeded second goods as having 1 abrupt point; S3.

4. Judge whether the change rates of a certain second good except for the largest and smallest heights and the adjacent second goods before and after except for the largest and smallest heights both exceed the change threshold. If they exceed, then mark the exceeded second goods as having 1 abrupt point; S4.

1. Determine the second goods with the number of abrupt points greater than the number threshold as the second goods with the contour dimensions of unique dimensions; Among them, the quantity threshold can be 1, 2, or 3 abrupt points.

3. An intelligent logistics transportation scheduling method according to claim 1, characterized in that: Judging whether the contour size of the second goods in the delivery order is a unique size includes: S1.

1. Arrange the lengths of all the second goods from largest to smallest; S1.

2. Calculate the change rate of the lengths of two adjacent second goods; S1.

3. Construct a first broken line graph with the lengths of multiple second goods; S1.

4. Judge whether the change rates of a certain second good except the one with the largest length and the one with the smallest length and the second goods adjacent before and after it except the one with the largest length and the one with the smallest length both exceed the change threshold. If not, configure a connection point with the average value of the lengths of the two second goods between the above two second goods, and configure a first connection line in the first broken line graph according to the first connection point and the last connection point of the multiple connection points with the largest number of adjacent continuities; Define the vertical coordinate position at the same abscissa position of the first connection line in the first broken line graph and the length of the second good as the comparison point of the length of the second good; judge whether the percentage of the difference between the length of each second good and its comparison point is greater than the percentage threshold. If it is greater, mark the second good that exceeds as having 1 abrupt point; S2.

1. Arrange the widths of all the second goods from largest to smallest; S2.

2. Calculate the change rate of the widths of two adjacent second goods; S2.

3. Construct a second broken line graph with the widths of multiple second goods; S2.

4. Judge whether the change rates of a certain second good except the one with the largest width and the one with the smallest width and the second goods adjacent before and after it except the one with the largest width and the one with the smallest width both exceed the change threshold. If not, configure a connection point with the average value of the widths of the two second goods between the above two second goods, and configure a second connection line in the second broken line graph according to the first connection point and the last connection point of the multiple connection points with the largest number of adjacent continuities; Define the vertical coordinate position at the same abscissa position of the second connection line in the second broken line graph and the width of the second good as the comparison point of the width of the second good; judge whether the percentage of the difference between the width of each second good and its comparison point is greater than the percentage threshold. If it is greater, mark the second good that exceeds as having 1 abrupt point; S3.

1. Arrange the heights of all the second goods from largest to smallest; S3.

2. Calculate the change rate of the heights of two adjacent second goods; S3.

3. Construct a third broken line graph with the heights of multiple second goods; S3.

4. Judge whether the change rates of a certain second good except the one with the largest height and the one with the smallest height and the second goods adjacent before and after it except the one with the largest height and the one with the smallest height both exceed the change threshold. If not, configure a connection point with the average value of the heights of the two second goods between the above two second goods, and configure a third connection line in the third broken line graph according to the first connection point and the last connection point of the multiple connection points with the largest number of adjacent continuities; Define the vertical coordinate position of the third connection line at the same horizontal coordinate position as the height of the second good in the third broken line graph as the comparison point of the height of the second good; determine whether the percentage of the gap between the height of each second good and its comparison point is greater than the percentage threshold. If it is greater, mark the second good that exceeds it as having 1 abrupt point; S4.

1. Determine the second good with the number of abrupt points greater than the quantity threshold as the second good with a unique size profile size.

4. An intelligent logistics transportation scheduling method according to any one of claims 2 or 3, characterized in that: When the position of the first good converted from the second good with a unique size profile size in the delivery order does not match the position of the barcode of the first good in the delivery order, increase the above quantity threshold and / or increase the above change threshold, and re-run the steps of the method for identifying the second good with a unique size.

5. An intelligent logistics transportation scheduling method according to claim 4, characterized in that: Based on the sorting point position corresponding to the current delivery vehicle position and the order of the sorting point positions, configure the first video stream as the first sub-video stream when the delivery vehicle position is within the sorting point position; Configure the handling list according to the first sub-video stream and the delivery order, including: When the delivery vehicle arrives at the sorting point, the handling list for the courier to transport the goods at this sorting point position for each trip can be: Obtain the upper limit of the courier's single transportation, where the upper limit of the single transportation includes the upper limit of the maximum transportation volume and the upper limit of the maximum value transportation; Judge whether the goods in the first sub-video stream include all the first goods corresponding to the sorting point position. If not, lower the quantity threshold and / or the change threshold, and jump to the step of converting the second good according to the goods in the delivery order corresponding to the unique size profile size into the first good. The degree of reduction depends on the order of the sorting point positions. The more forward the order, the more it is reduced; the more backward the order, the less it is reduced. If so, use the enumeration method or convolutional neural network or AI large model to output the transportation plan corresponding to the sorting point according to the total goods corresponding to the sorting point and the upper limit of the single transportation; Configure the goods transported each time at the sorting point according to the transportation plan.

6. An intelligent logistics transportation scheduling system, characterized in that: Including AR glasses, the AR glasses include: An input module, which is used to obtain the delivery order, the delivery vehicle position, and the first video stream. The delivery order includes the barcode and profile size of the goods; A processor, which is used to configure the cargo contour corresponding to the recognized barcode of the goods in the delivery vehicle as the first cargo according to the first video stream, and configure the cargo contour without recognized barcode as the second cargo; determine whether the contour size of the second cargo in the delivery order is a unique size. If it is a unique size, then convert the second cargo in the delivery order corresponding to the contour size of the unique size into the first cargo; configure the dispatching transportation path according to the delivery order, configure the sorting point positions in the dispatching transportation path, and mark the order of the sorting point positions in the dispatching transportation path, and configure the cargo corresponding to the sorting point positions; based on the sorting point position corresponding to the current delivery vehicle position and the order of the sorting point positions, configure the first video stream as the first sub-video stream when the delivery vehicle position is within the sorting point position; configure the handling list according to the first sub-video stream and the delivery order; configure the cargo annotation frames in the first video stream according to the handling order of the handling list. A display, which is used to display the first video stream after the configured cargo annotation frames.

7. An intelligent logistics transportation scheduling system according to claim 6, characterized in that: Determining whether the contour size of the second cargo in the delivery order is a unique size includes: S1.

1. Arrange the lengths of all the second cargos from largest to smallest; S1.

2. Calculate the change rate of the lengths of two adjacent second cargos; S1.

3. Determine whether the change rates of the second cargos with the largest and smallest lengths and the adjacent second cargos exceed the change threshold. If they exceed, mark the exceeded second cargos with 1 abrupt point; S1.

4. Determine whether the change rates of a certain second cargo other than the largest and smallest lengths and the adjacent second cargos before and after other than the largest and smallest lengths both exceed the change threshold. If they exceed, mark the exceeded second cargos with 1 abrupt point; S2.

1. Arrange the widths of all the second cargos from largest to smallest; S2.

2. Calculate the change rate of the widths of two adjacent second cargos; S2.

3. Determine whether the change rates of the second cargos with the largest and smallest widths and the adjacent second cargos exceed the change threshold. If they exceed, mark the exceeded second cargos with 1 abrupt point; S2.

4. Determine whether the change rates of a certain second cargo other than the largest and smallest widths and the adjacent second cargos before and after other than the largest and smallest widths both exceed the change threshold. If they exceed, mark the exceeded second cargos with 1 abrupt point; S3.

1. Arrange the heights of all the second cargos from largest to smallest; S3.

2. Calculate the change rate of the heights of two adjacent second cargos; S3.

3. Determine whether the change rates of the second cargos with the largest and smallest heights and the adjacent second cargos exceed the change threshold. If they exceed, mark the exceeded second cargos with 1 abrupt point; S3.

4. Determine whether the change rates of a certain second cargo other than the largest and smallest heights and the adjacent second cargos before and after other than the largest and smallest heights both exceed the change threshold. If they exceed, mark the exceeded second cargos with 1 abrupt point; S4.

1. Determine the second cargos with the number of abrupt points greater than the number threshold as the second cargos with the contour size of the unique size.

8. An intelligent logistics transportation scheduling system according to claim 6, characterized in that: Determine whether the contour dimensions of the second goods in the delivery order are unique dimensions, including: S1.

1. Arrange the lengths of all the second goods from largest to smallest; S1.

2. Calculate the change rate of the lengths of two adjacent second goods; S1.

3. Construct a first line graph with the lengths of multiple second goods; S1.

4. Determine whether the change rates of a certain second good except the one with the largest length and the one with the smallest length and the second goods adjacent before and after except the one with the largest length and the one with the smallest length both exceed the change threshold. If not, configure a connection point with the average value of the lengths of the two second goods between the above two second goods, and configure a first connection in the first line graph according to the first connection point and the last connection point of the multiple connection points with the largest number of adjacent continuities; Define the ordinate position at the same abscissa position of the first connection in the first line graph and the length of the second good as the comparison point of the length of the second good; Determine whether the percentage of the difference between the length of each second good and its comparison point is greater than the percentage threshold. If so, mark the second good that exceeds as having 1 abrupt point; S2.

1. Arrange the widths of all the second goods from largest to smallest; S2.

2. Calculate the change rate of the widths of two adjacent second goods; S2.

3. Construct a second line graph with the widths of multiple second goods; S2.

4. Determine whether the change rates of a certain second good except the one with the largest width and the one with the smallest width and the second goods adjacent before and after except the one with the largest width and the one with the smallest width both exceed the change threshold. If not, configure a connection point with the average value of the widths of the two second goods between the above two second goods, and configure a second connection in the second line graph according to the first connection point and the last connection point of the multiple connection points with the largest number of adjacent continuities; Define the ordinate position at the same abscissa position of the second connection in the second line graph and the width of the second good as the comparison point of the width of the second good; Determine whether the percentage of the difference between the width of each second good and its comparison point is greater than the percentage threshold. If so, mark the second good that exceeds as having 1 abrupt point; S3.

1. Arrange the heights of all the second goods from largest to smallest; S3.

2. Calculate the change rate of the heights of two adjacent second goods; S3.

3. Construct a third line graph with the heights of multiple second goods; S3.

4. Determine whether the change rates of a certain second good except the one with the largest height and the one with the smallest height and the second goods adjacent before and after except the one with the largest height and the one with the smallest height both exceed the change threshold. If not, configure a connection point with the average value of the heights of the two second goods between the above two second goods, and configure a third connection in the third line graph according to the first connection point and the last connection point of the multiple connection points with the largest number of adjacent continuities; Define the ordinate position at the same abscissa position of the third connection in the third line graph and the height of the second good as the comparison point of the height of the second good; Determine whether the percentage of the difference between the height of each second good and its comparison point is greater than the percentage threshold. If so, mark the second good that exceeds as having 1 abrupt point; S4.

1. Determine the second goods with a number of abrupt points greater than the quantity threshold as the second goods with the contour size of the unique size.

9. An intelligent logistics transportation scheduling system according to any one of claims 7 or 8, characterized in that: When the position of the first goods converted from the second goods with the contour size of the unique size in the delivery order does not match the position of the barcode of the first goods in the delivery order, increase the above-mentioned quantity threshold and / or the above-mentioned change threshold, and re-run the steps of the method for identifying the second goods with the unique size.

10. An intelligent logistics transportation scheduling system according to claim 9, characterized in that: Based on the sorting point position corresponding to the current delivery vehicle position and the order of the sorting point positions, configure the first video stream as the first sub-video stream when the delivery vehicle position is within the sorting point position; Configure the handling list according to the first sub-video stream and the delivery order, including: When the delivery vehicle arrives at the sorting point, the handling list for the courier to transport the goods at this sorting point each time can be: Obtain the upper limit of the courier's single transport, where the upper limit of the single transport includes the upper limit of the maximum transport volume and the upper limit of the maximum value transport; Judge whether the goods in the first sub-video stream include all the first goods corresponding to the sorting point position. If not, lower the quantity threshold and / or the change threshold, and jump to the step of converting the second goods into the first goods according to the goods in the delivery order corresponding to the contour size of the unique size. The degree of reduction depends on the order of the sorting point positions. The earlier the order, the more it is reduced, and the later the order, the less it is reduced. If so, use the enumeration method, convolutional neural network or AI large model to output the transport plan corresponding to the sorting point according to the total goods corresponding to the sorting point and the upper limit of the single transport; Configure the goods transported by the sorting point each time according to the transport plan.

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