An intelligent sorting method

Abstract

An intelligent sorting method includes steps S1, S2 and S3, wherein step S1: materials enter a plurality of continuously arranged intelligent sorting machines in sequence through a transport section; step S2: each intelligent sorting machine determines whether the material should be sorted by the intelligent sorting machine according to the material situation, and if the intelligent sorting machine needs to sort the material, the intelligent sorting machine starts the sorting program step S3, and if the intelligent sorting machine does not need to sort the material, the conveyor belt of the intelligent sorting machine transports the material to the next intelligent sorting machine; step S3: the sorting belt of the intelligent sorting machine sorts the material. The intelligent sorting method of the present invention has high efficiency and low error rate.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent logistics equipment, and in particular to an intelligent sorting method. Background Art

[0002] With the digital transformation of traditional manufacturing and service industries and the further improvement of global division of labor, efficient and accurate movement, handling and sorting of materials have become an urgent need for related industries to improve quality and efficiency.

[0003] In the existing technology, cross sorting is basically used for sorting materials. However, cross sorting is costly, occupies a large area, is complex to control, and has high costs. In actual applications, whoever can control the parcel sorting more accurately will have a greater competitive advantage in the market.

[0004] The prior art includes drum sorters, swing wheel sorters, jacking and transplanting sorters, etc. The above sorters have poor versatility for small materials and soft materials, and materials often stagnate, resulting in package chasing, low sorting efficiency, and even sorting errors. Summary of the invention

[0005] The technical problem to be solved by the present invention is that the error rate of sorting materials in the prior art is high and the efficiency is low, and an intelligent sorting method with high efficiency and low error rate is provided.

[0006] In order to solve the above technical problems, the technical solution adopted by the present invention is as follows:

[0007] An intelligent sorting method comprises the following steps:

[0008] Step S1: The materials enter several continuously arranged intelligent sorting machines in sequence through the transport section;

[0009] Step S2: Each of the intelligent sorting machines determines whether the material should be sorted by the intelligent sorting machine according to the material situation. If the material needs to be sorted by the intelligent sorting machine, the intelligent sorting machine starts the sorting program step S3. If the material does not need to be sorted by the intelligent sorting machine, the conveyor belt of the intelligent sorting machine transports the material to the next intelligent sorting machine.

[0010] Step S3: The sorting belt of the intelligent sorting machine sorts the materials.

[0011] In the above intelligent sorting method, there are one or more conveyor belts, and the conveyor belt has a conveying surface and is connected to the feed port and the discharge port of the intelligent sorting machine. The sorting belt includes a second belt body, a second driving wheel and a second rotating wheel, the second belt body is wound around the second driving wheel and the outer edge of the second rotating wheel, and the second belt body rotates under the drive of the second driving wheel, wherein the second rotating wheel is a driving wheel or a driven wheel;

[0012] The step S3: the second belt body is driven by the second driving wheel to rotate, so as to drive the materials on the second belt body to move and be sorted.

[0013] In the above intelligent sorting method, the second belt body includes a smooth portion and a raised portion, the thickness of the raised portion is greater than the thickness of the smooth portion, and the smooth portion is lower than, equal to or higher than the transport surface within five millimeters; the step S3 includes:

[0014] Step S31: the second driving wheel drives the second belt body to rotate, and causes the raised portion to rotate upward;

[0015] Step S32: the material is blocked by the protrusion and remains stationary above the protrusion;

[0016] Step S33: the second driving wheel drives the second belt body to rotate, and the material is moved and sorted under the drive of the raised portion;

[0017] Step S34: the second driving wheel drives the second belt body to rotate, and causes the raised portion to rotate downward, thereby completing the sorting procedure.

[0018] In the above intelligent sorting method, the transport section includes a pulling section belt, an image recognition processing section belt and an acceleration section belt which are arranged in sequence, and an image recognition processing module is arranged on the image recognition processing section belt; the step S1 includes steps S11, S12 and S13; wherein:

[0019] The step S11: the materials pass through the stretching section belt to stretch the distance between adjacent materials;

[0020] Step S12: the material passes through the image recognition processing section belt, and the image recognition processing module performs image recognition processing on the material to obtain M information and P information, wherein the M information is the sorting outlet information corresponding to the material, and the P information is the material serial number, and the image recognition processing module transmits the M information and the P information to the intelligent sorting machine corresponding to the M information;

[0021] The step S13: the material passes through the acceleration section belt to increase the transportation speed of the material.

[0022] In the above-mentioned intelligent sorting method, the transport section includes a stretch section belt, an image recognition processing section belt and an acceleration section belt; and step S14 is also included between step S12 and step S13: guiding the material passing through the stretch section belt into the acceleration section belt.

[0023] In the above-mentioned intelligent sorting method, the transport section includes a plurality of the stretch section belts, a plurality of the image recognition processing section belts and one acceleration section belt, the number of all the stretch section belts is equal to the number of the image recognition processing section belts, and the downstream outlets of all the image recognition processing section belts are connected to the upstream inlet of the acceleration section belt; step S15 is also included between step S12 and step S13: guiding the materials passing through all the stretch section belts into the acceleration section belt.

[0024] In the above intelligent sorting method, the step S15 is: guiding the materials passing through all the stretch section belts into the acceleration section belt in sequence.

[0025] In the above intelligent sorting method, step S2 includes step S21, wherein:

[0026] The step S21: if the intelligent sorting machine receives the M information and the P information sent by the image recognition processing module, the corresponding intelligent sorting machine judges the material entering the intelligent sorting machine. If it is judged that the P information obtained by the material is consistent with the P information sent by the image recognition processing module, it is determined that the material should be sorted by the corresponding intelligent sorting machine, and the step S3 of the sorting program is started; if the corresponding intelligent sorting machine does not receive the M information and the P information, or judges that the P information obtained by the material is inconsistent with the P information sent by the image recognition processing module, the intelligent sorting machine does not start the step S3 of the sorting program.

[0027] In the above intelligent sorting method, step S2 also includes step S22: if there are at least two materials on a certain intelligent sorting machine, the intelligent sorting system stops running, all M information and P information are cleared, and waits for manual processing.

[0028] In the above intelligent sorting method, step S2 also includes step S23: if there are at least two materials on one of the intelligent sorting machines, the conveyor belt continues to run, and all M information and P information of the two materials are reset and flow into the abnormal grid set at the end of the intelligent sorting system.

[0029] The above technical solution of the present invention has the following advantages compared with the prior art:

[0030] ① The intelligent sorting method of the present invention includes steps S1, S2 and S3, wherein step S1: the material enters a number of continuously arranged intelligent sorting machines in turn through the transport section; step S2: each intelligent sorting machine determines whether the material should be sorted by the intelligent sorting machine according to the material situation. If the intelligent sorting machine needs to sort the material, the intelligent sorting machine starts the sorting program step S3; if the intelligent sorting machine does not need to sort the material, the conveyor belt of the intelligent sorting machine transports the material to the next intelligent sorting machine; step S3: the sorting belt of the intelligent sorting machine sorts the material. The conveyor belt is used to replace the roller or the pendulum wheel, and the friction between the transport device and the material and the stability of the material during transportation are increased through intelligent process operation, so as to realize the efficient and stable transportation of small package materials and soft package materials, improve the movement efficiency of small package materials and soft package materials, and reduce the probability of chasing packages.

[0031] ② The intelligent sorting method of the present invention, the sorting belt includes a second belt body, a second driving wheel and a second rotating wheel, the second belt body includes a smooth part and a raised part, the thickness of the raised part is greater than the thickness of the smooth part, and the smooth part is lower than, equal to or higher than the transport surface within five millimeters; step S3 includes steps S31, step S32, step S33 and step S34, wherein step S31: the second driving wheel drives the second belt body to rotate, and the raised part rotates upward; step S32: the material is blocked by the raised part and remains stationary above the raised part; step S33: the second driving wheel drives the second belt body to rotate, and the material is moved and sorted under the drive of the raised part; step S34: the second driving wheel drives the second belt body to rotate, and the raised part rotates downward to complete the sorting procedure. With such a design, the material can be stopped or passed smoothly by the raised parts and smooth parts of different heights, so that the sorting belt can be sorted, and the wrong sorting caused by the material directly sliding over the sorting belt is prevented.

[0032] ③ The intelligent sorting method of the present invention, the transport section includes a pull-distance section belt, an image recognition processing section belt and an acceleration section belt arranged in sequence, and an image recognition processing module is arranged on the image recognition processing section belt; step S1 includes steps S11, S12 and S13; wherein: step S11: the material passes through the pull-distance section belt to pull the distance between adjacent materials; step S12: the material passes through the image recognition processing section belt, and the image recognition processing module performs image recognition processing on the material to obtain M information and P information, wherein the M information is the sorting outlet information corresponding to the material, and the P information is the material serial number, and the image recognition processing module transmits the M information and the P information to the intelligent sorting machine corresponding to the M information; step S13: the material passes through the acceleration section belt to improve the transportation speed of the material. Such a design, by obtaining the M information and the P information, guides the sorting machine to sort each piece of material separately, thereby improving its sorting efficiency.

[0033] ④ The intelligent sorting method of the present invention, the transport section includes a plurality of stretch section belts, a plurality of image recognition processing section belts and an acceleration section belt, the number of all stretch section belts is equal to the number of image recognition processing section belts, and the downstream outlets of all image recognition processing section belts are connected to the upstream inlet of the acceleration section belt; step S15 is also included between step S12 and step S13: guiding the materials passing through all stretch section belts into the acceleration section belt. Since the transportation speed of the materials on the stretch section belt and the image recognition processing section belt is slow, and the speed on the acceleration section belt is fast, the transportation speed of the materials on the stretch section belt / image recognition processing section belt restricts the overall sorting speed. Therefore, in order to improve the sorting speed, a method of using multiple stretch section belts / image recognition processing section belts in combination with an acceleration section belt is adopted.

[0034] ⑤ The intelligent sorting method of the present invention, step S15: guide the materials passing through all the stretching section belts into the acceleration section belt in sequence. Such a design ensures the order of the materials entering the sorting machine by sequentially introducing them, thereby preventing the probability of material sorting errors to a certain extent.

[0035] ⑥ The intelligent sorting method of the present invention, step S2 also includes step S22: if there are at least two materials on a certain intelligent sorting machine, the intelligent sorting system stops running, all M information and P information are cleared, and waits for manual processing. Such a design can quickly stop the machine after the package chasing situation occurs, preventing the probability of wrong sorting.

[0036] ⑦ The intelligent sorting method of the present invention, step S2 also includes step S23: if there are at least two materials on a certain intelligent sorting machine, the conveyor belt continues to run, all the M information and P information of the two materials are cleared, and all flow into the abnormal grid set at the end of the intelligent sorting system. Such a design can realize error correction without stopping the machine when the package is chased, further improving the sorting efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to make the content of the present invention more clearly understood, the present invention is further described in detail below according to specific embodiments of the present invention in conjunction with the accompanying drawings, wherein

[0038] Figure 1 is a flow chart of the intelligent sorting method in Embodiment 1 of the present invention;

[0039] Figure 2 is a specific flow chart of step S1 of the intelligent sorting method in embodiment 1 of the present invention;

[0040] Figure 3 is a specific flow chart of step S3 of the intelligent sorting method in embodiment 1 of the present invention;

[0041] Figure 4 is a schematic diagram of the structure of the sorting system in the first embodiment of the present invention;

[0042] Figure 5 is a schematic structural diagram of a sorting machine in Embodiment 1 of the present invention;

[0043] Figure 6 It is a structural schematic diagram of a sorting belt part in a sorting machine in Embodiment 1 of the present invention;

[0044] Figure 7 It is a specific flow chart of step S1 of the intelligent sorting method in the second embodiment of the present invention.

[0045] The reference numerals in the figure are represented as: 1-intelligent sorting machine, 11-frame, 111-base, 112-fan, 12-sorting belt, 121-second belt body, 1211-smooth part, 1212-raised part, 122-second driving wheel, 123-second driven wheel, 13-conveyor belt, 14-feed port, 15-discharge port, 2-pulling section belt, 3-image recognition processing section belt, 31-image recognition processing module, 4-acceleration section belt. DETAILED DESCRIPTION

[0046] To make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0047] Embodiment 1

[0048] like Figure 1-6 FIG. 1 is a preferred embodiment of the present invention, which discloses an intelligent sorting method. The intelligent sorting method includes step S1, step S2 and step S3.

[0049] The step S1 is as follows: the materials enter into a plurality of continuously arranged intelligent sorting machines 1 in sequence through the transport section.

[0050] The step S2 is: each of the intelligent sorting machines 1 determines whether the material should be sorted by the intelligent sorting machine 1 according to the material situation. If the material needs to be sorted by the intelligent sorting machine 1, the intelligent sorting machine 1 starts the sorting program step S3. If the material does not need to be sorted by the intelligent sorting machine 1, the conveyor belt 13 of the intelligent sorting machine 1 transports the material to the next intelligent sorting machine 1.

[0051] The step S3 is: the sorting belt 12 of the intelligent sorting machine 1 sorts the materials.

[0052] In this embodiment, the intelligent sorting machine 1 used includes a feed port 14, a discharge port 15, a plurality of conveyor belts 13, a plurality of sorting belts 12 and a frame 11. The feed port 14 and the discharge port 15 are respectively arranged on both sides of the frame 11, the conveyor belt 13 and the sorting belt 12 are arranged on the upper part of the frame 11, and a base 111 for support is arranged at the lower part of the frame 11, and a fan 112 for cooling is arranged on the side of the frame 11. The conveyor belt 13 has a conveying surface, or a plurality of conveyor belts 13 together form a conveying surface, and the conveying surface connects the feed port 14 and the discharge port 15. The sorting belt 12 is used to sort materials to a specified position, wherein the rotation direction of the sorting belt 12 is different from that of the conveyor belt 13. In this embodiment, the rotation direction of the sorting belt 12 is perpendicular to the conveying direction of the conveyor belt 13. The sorting belt 12 includes a second belt body 121, a second driving wheel 122 and a second rotating wheel, the second belt body 121 is wound around the second driving wheel 122 and the outer edge of the second rotating wheel, and the second belt body 121 is driven by the second driving wheel 122 to rotate, wherein the second rotating wheel is a driven wheel 123. Further, the second belt body 121 includes a smooth portion 1211 and a raised portion 1212, the thickness of the raised portion 1212 is greater than the thickness of the smooth portion 1211, and the smooth portion 1211 is lower than, equal to or higher than the transport surface within five millimeters.

[0053] At this time, the step S3 is: the second belt body 121 is driven by the second driving wheel 122 to rotate, so as to drive the materials on the second belt body 121 to move and be sorted.

[0054] Furthermore, the step S3 is: the second belt body 121 is driven by the second driving wheel 122 to rotate, so as to drive the material on the second belt body 121 to move and be sorted.

[0055] In this embodiment, step S3 includes step S31, step S32, step S33 and step S34.

[0056] The step S31 is as follows: the second driving wheel 122 drives the second belt body 121 to rotate, and causes the protrusion 1212 to rotate upward.

[0057] The step S32 is as follows: the material is blocked by the protrusion 1212 and remains stationary above the protrusion 1212 .

[0058] The step S33 is as follows: the second driving wheel 122 drives the second belt body 121 to rotate, and the material is moved and sorted under the drive of the protrusion 1212 .

[0059] The step S34 is: the second driving wheel 122 drives the second belt body 121 to rotate, and the protrusion 1212 rotates downward, completing the sorting process.

[0060] In this embodiment, the transport section includes a stretch section belt 2, an image recognition processing section belt 3 and an acceleration section belt 4 which are arranged in sequence, and an image recognition processing module 31 is arranged on the image recognition processing section belt 3. Further, the transport section includes a stretch section belt 2, an image recognition processing section belt 3 and an acceleration section belt 4.

[0061] At this time, the step S1 includes step S11, step S12, step S14 and step S13.

[0062] The step S11 is: the materials pass through the stretching section belt 2 to stretch the distance between adjacent materials.

[0063] The step S12 is: the material passes through the image recognition processing section belt 3, and the image recognition processing module 31 performs image recognition processing on the material to obtain M information and P information, wherein the M information is the sorting outlet information corresponding to the material, and the P information is the material serial number. The image recognition processing module 31 transmits the M information and the P information to the intelligent sorting machine 1 corresponding to the M information.

[0064] The step S14 is: guiding the material passing through the stretch section belt 2 into the acceleration section belt 4.

[0065] The step S13 is: the material passes through the acceleration section belt 4 to increase the transportation speed of the material.

[0066] In this embodiment, step S2 includes step S21 and step S22.

[0067] The step S21 is: if the intelligent sorting machine 1 receives the M information and the P information sent by the image recognition processing module 31, the corresponding intelligent sorting machine 1 judges the material entering the intelligent sorting machine 1. If it is judged that the P information obtained by the material is consistent with the P information sent by the image recognition processing module 31, it is determined that the material should be sorted by the corresponding intelligent sorting machine 1, and the step S3 of the sorting program is started; if the corresponding intelligent sorting machine 1 does not receive the M information and the P information, or judges that the P information obtained by the material is inconsistent with the P information sent by the image recognition processing module 31, the intelligent sorting machine 1 does not start the step S3 of the sorting program.

[0068] The step S22 is: if there are at least two materials on a certain intelligent sorting machine 1, the intelligent sorting system stops running, all M information and P information are cleared, and waits for manual processing.

[0069] Embodiment 2

[0070] Different from the first embodiment, in this embodiment, the transport section includes a plurality of the stretch section belts 2, a plurality of the image recognition processing section belts 3 and one acceleration section belt 4, the number of all the stretch section belts 2 is equal to the number of the image recognition processing section belts 3, and the downstream outlets of all the image recognition processing section belts 3 are connected to the upstream inlet of the acceleration section belt 4.

[0071] like Figure 7 As shown, at this time, the step S1 includes the step S11, the step S12, the step S15 and the step S13.

[0072] The step S15 is as follows: guiding the material passing through all the stretch section belts 2 into the acceleration section belt 4 .

[0073] Furthermore, in this embodiment, the step S15 is: guiding the materials passing through all the stretching section belts 2 into the acceleration section belt 4 in sequence.

[0074] Different from the first embodiment, in this embodiment, the step S2 includes the step S21 and the step S23.

[0075] The step S23 is as follows: if there are at least two materials on one of the intelligent sorting machines 1, the conveyor belt 13 continues to run, and all M information and P information of the two materials are cleared and flow into the abnormal grid set at the end of the intelligent sorting system.

[0076] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived from these are still within the scope of protection of the invention.

Claims

1. An intelligent sorting method, characterized in that: The steps include: Step S1: The materials enter a plurality of continuously arranged intelligent sorting machines (1) in sequence through the transport section; The transport section comprises a plurality of stretch section belts (2), a plurality of image recognition processing section belts (3) and an acceleration section belt (4) which are arranged in sequence, the number of all the stretch section belts (2) is equal to the number of the image recognition processing section belts (3), and the downstream outlets of all the image recognition processing section belts (3) are connected to the upstream inlet of the acceleration section belt (4); the image recognition processing section belt (3) is provided with an image recognition processing module (31); the step S1 comprises steps S11, S12 and S13; wherein: Step S11: the materials pass through the stretching section belt (2) to stretch the distance between adjacent materials; The step S12: the material passes through the image recognition processing section belt (3), and the image recognition processing module (31) performs image recognition processing on the material to obtain M information and P information, wherein the M information is the sorting outlet information corresponding to the material, and the P information is the material serial number, and the image recognition processing module (31) transmits the M information and the P information to the intelligent sorting machine (1) corresponding to the M information; The step S13: guiding the material passing through all the stretching section belts (2) into the acceleration section belt (4); the material passes through the acceleration section belt (4), thereby increasing the transportation speed of the material; Step S2: The intelligent sorting machine (1) comprises a feed port (14), a discharge port (15), a plurality of conveyor belts (13) and a plurality of sorting belts (12), wherein the plurality of conveyor belts (13) together form a transport surface, wherein the transport surface connects the feed port (14) and the discharge port (15); each of the intelligent sorting machines (1) determines whether the material should be sorted by the intelligent sorting machine (1) according to the material situation; if the material needs to be sorted by the intelligent sorting machine (1), the intelligent sorting machine (1) starts the sorting procedure step S3; if the material does not need to be sorted by the intelligent sorting machine (1), the conveyor belt (13) of the intelligent sorting machine (1) transports the material to the next intelligent sorting machine (1); The step S2 includes step S21, wherein: Said step S21: if the said intelligent sorting machine (1) receives the M information and the P information sent by the said image recognition processing module (31), then the said corresponding intelligent sorting machine (1) judges the material entering the said intelligent sorting machine (1); if it is judged that the P information obtained by the material is consistent with the P information sent by the said image recognition processing module (31), then it is determined that the material should be sorted by the said corresponding intelligent sorting machine (1), and the said step S3 of the sorting program is started; if the said corresponding intelligent sorting machine (1) does not receive the M information and the P information, or it is judged that the P information obtained by the material is inconsistent with the P information sent by the said image recognition processing module (31), then the said intelligent sorting machine (1) does not start the said step S3 of the sorting program; The step S2 further includes a step S22: if at least two materials exist on one of the intelligent sorting machines (1), the intelligent sorting system stops running, all M information and P information are cleared, and waits for manual processing; or, the step S2 further includes a step S23: if at least two materials exist on one of the intelligent sorting machines (1), the conveyor belt (13) continues to run, all M information and P information of the two materials are cleared, and both flow into the abnormal grid set at the end of the intelligent sorting system; Step S3: The sorting belt (12) of the intelligent sorting machine (1) sorts the materials.

2. The intelligent sorting method according to claim 1, characterized in that: The sorting belt (12) comprises a second belt body (121), a second driving wheel (122) and a second rotating wheel, wherein the second belt body (121) is wound around the second driving wheel (122) and the outer edge of the second rotating wheel, and the second belt body (121) rotates under the drive of the second driving wheel (122), wherein the second rotating wheel is a driving wheel or a driven wheel; The step S3: the second belt body (121) is driven by the second driving wheel (122) to rotate, thereby driving the materials on the second belt body (121) to move and be sorted.

3. The intelligent sorting method according to claim 2, characterized in that: The second belt body (121) comprises a smooth portion (1211) and a raised portion (1212), the thickness of the raised portion (1212) is greater than the thickness of the smooth portion (1211), and the smooth portion (1211) is lower than, equal to or higher than the transport surface; the step S3 comprises: Step S31: the second driving wheel (122) drives the second belt body (121) to rotate, and causes the protruding portion (1212) to rotate upward; Step S32: the material is blocked by the protruding portion (1212) and remains stationary above the protruding portion (1212); Step S33: the second driving wheel (122) drives the second belt body (121) to rotate, and the material is moved and sorted under the drive of the protruding portion (1212); Step S34: the second driving wheel (122) drives the second belt body (121) to rotate, and causes the protruding portion (1212) to rotate downward, thereby completing the sorting procedure.

4. The intelligent sorting method according to claim 1, characterized in that: Step S15 is also included between step S12 and step S13; The step S15: guiding the materials passing through all the stretch section belts (2) into the acceleration section belt (4) in sequence.

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