Intelligent warehouse goods sorting system and method

Abstract

The application discloses a warehouse goods intelligent sorting system and method, and relates to the technical field of goods sorting.The sorting method comprises the following steps: a processing end starts a corresponding sorting assembly line according to a comparison result of a device health coefficient established by a collecting end and a health threshold value; goods enter the sorting assembly line for sorting, and the collecting end establishes an environment coefficient; and the processing end adjusts the goods transmission speed of the sorting assembly line in real time through a comparison result of the environment coefficient and an environment threshold value.The application selects the corresponding sorting assembly line through the comparison result of the device health coefficient established by the collecting end and the health threshold value, thereby selecting the sorting assembly line with high efficiency to sort the goods, which is beneficial to improving the overall sorting efficiency of the goods.In the sorting process, the goods transmission speed is adjusted in real time through the comparison result of the environment coefficient and the environment threshold value, so that the sorting accuracy of the goods is improved on the basis of ensuring the sorting efficiency of the goods, and sorting errors are avoided.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of goods sorting, in particular to a warehouse goods intelligent sorting system and method. BACKGROUND

[0002] With the progress of science and technology, machines have replaced manual labor to complete a large number of heavy work. The rapid development of modern logistics has put forward high requirements for goods sorting. The goods sorting system uses advanced sensors to realize the sorting of goods based on the principles of electronic optics and mechanical control. The emergence of the goods sorting system has changed the manual sorting situation and greatly improved the efficiency of goods sorting.

[0003] The prior art has the following disadvantages:

[0004] 1. The existing sorting system usually sets up multiple sorting lines to cope with the sorting of large quantities of goods. However, when the quantity of goods to be sorted is small, the sorting system can only direct the truck to randomly unload at a sorting line. However, since the health status of each sorting line is different, when the randomly selected sorting line has a poor health status, the efficiency of goods sorting will be reduced.

[0005] 2. In order to avoid errors during sorting (i.e. when the bar code on the surface of the goods is wrinkled or damaged, the high speed of the sorting line in conveying goods will cause recognition errors), the speed of the existing sorting line in conveying goods is uniform (usually 3-5 m / min), which will reduce the overall sorting efficiency of all goods. SUMMARY

[0006] The present application aims to provide a warehouse goods intelligent sorting system and method to solve the problems in the background art.

[0007] In order to achieve the above-mentioned purpose, the present application provides the following technical solution: a warehouse goods intelligent sorting method, the sorting method comprising the following steps:

[0008] S1: the processing end activates the corresponding sorting line according to the comparison result of the device health coefficient established by the collection end and the health threshold value;

[0009] S2: the goods enter the sorting line for sorting, and the collection end establishes an environmental coefficient;

[0010] S3: the processing end adjusts the goods conveying speed of the sorting line in real time through the comparison result of the environmental coefficient and the environmental threshold value;

[0011] S4: the goods are conveyed to the palletizing robot, and the palletizing robot transfers the goods to the corresponding area of the container according to the recognition result of the goods bar code.

[0012] In a preferred embodiment, step S1 comprises the following steps:

[0013] S1.1: The end collects the noise decibels, maintenance interval length, power factor and aging rate of the equipment in the sorting pipeline;

[0014] S1.2: The noise decibels, maintenance interval length, power factor and aging rate are respectively marked as Zyfb, Byjg, Glys and Lhi;

[0015] S1.3: The noise decibels, maintenance interval length, power factor and aging rate are dimensionless processed to remove the units and establish the equipment health coefficient Jkxs, the expression is:

[0016]

[0017] In the formula, a1, a2, a3, a4 are the proportional coefficients of noise decibels, maintenance interval length, power factor and aging rate respectively, a1, a2, a3, a4 are all greater than 0, and a3>a1>a4>a2.

[0018] In a preferred embodiment, step S1 further comprises the following steps:

[0019] S1.4: Compare the equipment health coefficient Jkxs with the health threshold value, if the health coefficient Jkxs≥health threshold value, the sorting pipeline is put into use;

[0020] S1.5: Select all sorting pipelines with health coefficient Jkxs≥health threshold value, and calculate the difference value through the formula difference value=health coefficient-health threshold value, the larger the difference value, the better the health degree of the sorting pipeline, and select the sorting pipeline with the largest difference value to sort the goods.

[0021] In a preferred embodiment, in step S1.5, when a single sorting pipeline is insufficient to sort all goods, other sorting pipelines need to be added for use, including the following steps:

[0022] S1.51: Remove the sorting pipelines with health coefficient<health threshold value;

[0023] S1.52: The remaining sorting pipelines are calculated through the formula Xcz=health coefficient-health threshold value, to

[0024] calculate the difference value Xcz;

[0025] S1.53: Sort the sorting pipelines in descending order of difference value Xcz;

[0026] S1.54: The system selects the sorting pipelines in descending order of difference value Xcz to sort the goods.

[0027] In a preferred embodiment, in step S1.54, if the sorting system comprises at least three sorting lines, the operation logic is:

[0028] The three sorting lines are sorting line 1, sorting line 2 and sorting line 3, the health coefficients of the three sorting lines are Jkxs1, Jkxs2 and Jkxs3, if the health coefficient Jkxs1 is less than the health threshold, the sorting line 1 is excluded from the system, if the health coefficient Jkxs2-health threshold is greater than the health coefficient Jkxs3-health threshold, the sorting line 2 is sorted in front of the sorting line 3, if the health coefficient Jkxs2-health threshold is less than the health coefficient Jkxs3-health threshold, the sorting line 2 is sorted behind the sorting line 3.

[0029] In a preferred embodiment, the noise decibel is collected by a decibel meter arranged at the sorting line;

[0030] The maintenance interval length Byjg = current operation date of the equipment - last maintenance date of the equipment;

[0031] The power factor is collected by a power factor table arranged on the equipment;

[0032] The aging rate Lhi = running length of the equipment / service length of the equipment.

[0033] In a preferred embodiment, step S2 comprises the following steps:

[0034] S2.1: Collecting the bar code integrity and brightness;

[0035] S2.2: The bar code integrity and brightness are respectively marked as Wzd and Gld;

[0036] S2.3: The bar code integrity and brightness are dimensionless processed, and the environmental coefficient Hjxs is established, and the expression is:

[0037] Hjxs = C + (g1Wzd + g2Gld) 2

[0038] In the formula, g1 and g2 are the proportional coefficients of the bar code integrity and brightness, g1 and g2 are both greater than 0, C is an error correction factor, and the value is 0.8426, and g1>g2.

[0039] In a preferred embodiment, step S2 further comprises the following steps:

[0040] S2.4: Comparing the environmental coefficient Hjxs with the environmental threshold, if the environmental coefficient Hjxs is less than the environmental threshold, the system adjusts the goods transmission speed of the sorting line to be slower;

[0041] If the environment coefficient Hjxs is less than the environment threshold value, and the value of Hjxs-environment threshold value is smaller, the system adjusts the goods conveying speed of the sorting pipeline slower.

[0042] If the environment coefficient Hjxs is greater than or equal to the environment threshold value, the goods conveying speed of the sorting pipeline is unchanged.

[0043] In a preferred embodiment, the barcode integrity is collected by a camera arranged at the goods inlet end of the conveying machine.

[0044] The light intensity is monitored by a light sensor arranged near the barcode recognition camera.

[0045] The application also provides a warehouse goods intelligent sorting system, comprising a first acquisition module, a second acquisition module, a processing module, a comparison module and an adjustment module.

[0046] The first acquisition module acquires the equipment parameters of the sorting pipeline, the second acquisition module acquires the environmental parameters of the sorting pipeline, the processing module performs dimensionless processing on the equipment parameters to establish a health coefficient, and performs dimensionless processing on the environmental parameters to establish an environment coefficient, the comparison module compares the health coefficient with a health threshold value and compares the environment coefficient with an environment threshold value, and the adjustment module selects the sorting goods of the sorting pipeline with a health coefficient greater than a health threshold value, and if the environment coefficient is less than the environment threshold value, the conveying speed of the sorting pipeline is reduced.

[0047] In the above technical solution, the application provides technical effects and advantages:

[0048] 1. The application selects the corresponding sorting pipeline by comparing the equipment health coefficient established by the acquisition end with the health threshold value, thereby selecting the sorting pipeline with high efficiency to sort goods, which is beneficial to improve the overall sorting efficiency of the goods, and in the sorting process, the conveying speed of the goods is adjusted in real time through the comparison result of the environment coefficient and the environment threshold value, thereby improving the sorting accuracy of the goods on the basis of ensuring the sorting efficiency of the goods and avoiding errors in sorting.

[0049] 2. The application processes and analyzes the dimensionless removal units of the noise decibels, maintenance interval length, power factor and aging rate, thereby eliminating the need for single parameter analysis, simplifying the analysis process, and selecting the sorting pipeline through the comparison result of the established health coefficient and the health threshold value, thereby being beneficial to improve the sorting efficiency of the goods.

[0050] 3、The present application collects the bar code integrity, brightness, and carries out dimensionless processing on the bar code integrity and brightness, establishes the environment coefficient Hjxs, and then adjusts the goods transmission speed of the sorting flow line according to the comparison result of the environment coefficient Hjxs and the environment threshold value, so that the goods can be transmitted at a faster speed when the bar code recognition environment brightness is sufficient and the goods bar code is undamaged, and the sorting efficiency of the goods is further improved. BRIEF DESCRIPTION OF DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments described in the present application, and other drawings can also be obtained by those skilled in the art based on these drawings.

[0052] Figure 1 The method flowchart of the present application. DETAILED DESCRIPTION

[0053] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0054] Embodiment 1

[0055] Please refer to Figure 1 The warehouse goods intelligent sorting method described in the present embodiment includes the following steps:

[0056] The processing end enables the corresponding sorting flow line according to the comparison result of the device health coefficient and the health threshold value established by the collection end. When the goods enter the sorting flow line for sorting, the collection end establishes the environment coefficient. The processing end adjusts the goods transmission speed of the sorting flow line in real time through the comparison result of the environment coefficient and the environment threshold value. The goods are transferred to the corresponding area of the container by the stacking robot according to the goods bar code identification result.

[0057] The sorting system selects the corresponding sorting flow line by collecting the comparison result of the device health coefficient and the health threshold value established by the collection end before the truck enters the goods into the warehouse, so as to select the sorting flow line with high efficiency to sort the goods, which is beneficial to improve the overall sorting efficiency of the goods. In the sorting process, the goods transmission speed is adjusted in real time through the comparison result of the environment coefficient and the environment threshold value, which improves the sorting accuracy of the goods on the basis of ensuring the sorting efficiency of the goods, and avoids errors in sorting.

[0058] In this embodiment, the stacking robot has three motors respectively controlling its X, Y and Z directions, and can reach any storage location. Since the position of the warehouse and the movement coordinate system of the stacking robot are fixed during installation, each storage location is positioned using absolute coordinates in the movement coordinate system of the stacking robot, and the positioning accuracy of the stacking robot in the three-dimensional warehouse is guaranteed by the movement accuracy of the X and Y axes.

[0059] Therefore, the X and Y directions are respectively driven by servo motors and controlled by an embedded motion controller, and the telescopic movement of the Z axis can put the goods into the corresponding storage location or take them out and put them on the assembly line. Compared with the X and Y axes, the accuracy requirement of the Z axis is not high, so a stepping motor is used as the driving motor of the Z axis.

[0060] The control cabinet can make the three motors run simultaneously, thereby realizing three-axis linkage, reducing redundant actions and saving handling time.

[0061] The embedded motion controller in the control cabinet receives the control commands transmitted by the industrial computer through PROFIBUS and parses them into the movement parameters of the X, Y and Z servo motors, which are then sent to the servo controller. The servo motor receives the control signal of the servo controller and moves to the corresponding position. In addition, in order to enhance the convenience of user operation, the control cabinet also adds a touch screen, which can manually operate the movement of the X, Y and Z axes through a friendly UI interface.

[0062] Embodiment 2

[0063] In the above embodiment 1, the processing end enables the corresponding sorting assembly line according to the comparison result of the device health coefficient established by the collection end and the health threshold, which specifically includes the following steps:

[0064] 1) The collection end collects the noise decibel, maintenance interval time, power factor and aging rate of the equipment in the sorting assembly line;

[0065] 2) The noise decibel, maintenance interval time, power factor and aging rate are respectively calibrated as Zyfb, Byjg, Glys and Lhi;

[0066] 3) The noise decibel, maintenance interval time, power factor and aging rate are dimensionless processed to remove the unit and establish the device health coefficient Jkxs, the expression is:

[0067]

[0068] In the formula, a1, a2, a3, a4 are respectively the proportionality coefficient of noise decibel, maintenance interval length, power factor and aging rate, a1, a2, a3, a4 are all greater than 0, and a3>a1>a4>a2, the actual value of the proportionality coefficient a1, a2, a3, a4 is set by the person skilled in the art according to the actual operation experience;

[0069] 4) After the establishment of the equipment health coefficient Jkxs, the equipment health coefficient Jkxs is compared with the health threshold value, and if the health coefficient Jkxs is greater than or equal to the health threshold value, it means that the sorting pipeline can be put into use;

[0070] 5) All sorting pipelines with health coefficient Jkxs greater than or equal to the health threshold value are selected, and the difference value is calculated by the formula difference value = health coefficient-health threshold value. The greater the difference value, the better the health of the sorting pipeline. The sorting pipeline with the largest difference value is selected to sort the goods.

[0071] The sorting system removes the unit after processing and analysis by collecting noise decibel, maintenance interval length, power factor and aging rate, so that it is not necessary to analyze a single parameter, the analysis process is simplified, and the sorting pipeline is selected by comparing the health coefficient with the health threshold value, thereby improving the sorting efficiency of goods.

[0072] In the above step 1),

[0073] The noise decibel is collected by the decibel meter arranged at the sorting pipeline. With the increase of the use time of the equipment or the existence of mechanical failure in the equipment, the noise decibel of the equipment will increase. Therefore, the greater the noise, the worse the health of the equipment. When the noise of the equipment exceeds the noise threshold value, the equipment needs to be stopped for maintenance, and a maintenance signal is sent to the maintenance personnel. After the noise decibel of the equipment is lower than the noise threshold value after the equipment is maintained, the equipment can continue to be put into use.

[0074] Among them, the mechanical failure of the equipment includes excessive friction between gears or jamming, excessive friction between parts, etc.

[0075] The maintenance interval length Byjg = current running date of the equipment - last maintenance date of the equipment. The longer the maintenance interval length of the equipment, the worse the health of the equipment. The shorter the maintenance interval length of the equipment, the better the health of the equipment.

[0076] The power factor is collected by the power factor table set on the equipment, mainly collecting the power factor of the equipment motor, indicating the ratio of the active power absorbed by the equipment motor from the power grid to the apparent power. The higher the power factor, the greater the proportion of active current component in the total current, the more useful work the motor does, and the higher the power utilization rate. It can effectively improve the power supply capacity of power transformers and transmission lines, thereby leading to good health of the equipment. Low power factor indicates that the circuit uses a large amount of reactive power for alternating magnetic field conversion, thereby reducing the utilization rate of the equipment and increasing the line power loss, thereby leading to poor health of the equipment.

[0077] The aging rate Lhi = the running time of the equipment / the service time of the equipment. As the running time of the equipment increases, the equipment will gradually age and the service life will be shortened, thereby leading to poor health of the equipment.

[0078] 5) Select all sorting pipelines with a health coefficient Jkxs greater than or equal to the health threshold value, and calculate the difference value by the formula difference value = health coefficient - health threshold value. The larger the difference value, the better the health of the sorting pipeline. Select the sorting pipeline with the largest difference value to sort the goods.

[0079] In the above step 5), when a single sorting pipeline is insufficient to sort all goods, other sorting pipelines need to be added for use together, including the following steps:

[0080] 5.1) Remove the sorting pipelines with a health coefficient less than the health threshold value;

[0081] 5.2) Calculate the difference value Xcz of the remaining sorting pipelines by the formula Xcz = health coefficient - health threshold value;

[0082] 5.3) Sort the sorting pipelines in descending order of the difference value Xcz;

[0083] 5.4) The system selects the sorting pipelines in descending order of the difference value Xcz to sort the goods.

[0084] Specifically, in the sorting system, there are three sorting pipelines, namely sorting pipeline 1, sorting pipeline 2, and sorting pipeline 3. The health coefficients of the three sorting pipelines are Jkxs1, Jkxs2, and Jkxs3, respectively. Assuming that the health coefficient Jkxs1 is less than the health threshold value, the sorting pipeline 1 is excluded from the system first. If the health coefficient Jkxs2 - health threshold value > health coefficient Jkxs3 - health threshold value, the sorting pipeline 2 is sorted before the sorting pipeline 3. If the health coefficient Jkxs2 - health threshold value < health coefficient Jkxs3 - health threshold value, the sorting pipeline 2 is sorted after the sorting pipeline 3.

[0085] Although in actual use, the health coefficient Jkxs2-health threshold and the health coefficient Jkxs3-health threshold are not equal, there is a certain probability, so when the health coefficient Jkxs2-health threshold = the health coefficient Jkxs3-health threshold, the system takes the maintenance interval length as the basis for selection.

[0086] For the sorting pipeline with a health coefficient < health threshold, the system needs to send a warning signal to the maintenance personnel, and the maintenance personnel needs to maintain the sorting pipeline after receiving the warning signal.

[0087] Embodiment 3

[0088] When the goods enter the sorting pipeline for sorting, the acquisition end establishes the environmental coefficient, and the processing end adjusts the goods transmission speed of the sorting pipeline in real time through the comparison result of the environmental coefficient and the environmental threshold, which specifically includes the following steps:

[0089] 6) The acquisition end acquires the barcode integrity and brightness;

[0090] 7) The barcode integrity and brightness are respectively calibrated as Wzd and Gld;

[0091] 8) The barcode integrity and brightness are dimensionless processed to establish the environmental coefficient Hjxs, and the expression is:

[0092] Hjxs = C + (g1Wzd + g2Gld) 2

[0093] In the formula, g1 and g2 are the proportional coefficients of the barcode integrity and brightness, respectively, g1 and g2 are both greater than 0, C is an error correction factor, and the value is 0.8426, and g1>g2;

[0094] 9) Compare the environmental coefficient Hjxs with the environmental threshold, if the environmental coefficient Hjxs < the environmental threshold, the system adjusts the goods transmission speed of the sorting pipeline to be slower.

[0095] In the above step 9), if the environmental coefficient Hjxs < the environmental threshold, and the smaller the value of the environmental coefficient Hjxs-the environmental threshold, the slower the system adjusts the goods transmission speed of the sorting pipeline;

[0096] When the environmental coefficient Hjxs ≥ the environmental threshold, the goods transmission speed of the sorting pipeline is unchanged;

[0097] In this embodiment, the goods transmission speed of the sorting pipeline is determined as the maximum moving speed of the goods that the industrial camera can recognize the barcode under normal brightness.

[0098] The sorting system collects the barcode integrity and brightness, and carries out non-dimensional processing on the barcode integrity and brightness, establishes an environment coefficient Hjxs, and then adjusts the goods transmission speed of the sorting line according to the comparison result of the environment coefficient Hjxs and the environment threshold value, so that the goods can be transmitted at a faster speed when the brightness of the barcode recognition environment is sufficient and the goods barcode is undamaged, and the sorting efficiency of the goods is further improved.

[0099] The barcode integrity is collected by a camera arranged at the goods inlet end of the conveyor, and when the barcode is damaged or wrinkled, the barcode integrity will be reduced;

[0100] It should be noted that when the integrity of the barcode is higher than 70%, the existing technology uses a discrete Hopfield neural network with an associative memory function in the artificial neural network to restore the two-dimensional barcode, which increases the identification time, so the goods transmission speed of the conveying line needs to be reduced, and when the integrity of the barcode is lower than 70%, the barcode needs to be replaced after manual reconfirmation of the goods.

[0101] The brightness is monitored by a light sensor arranged near the barcode recognition camera, and when the illuminance is too low, the identification time of the barcode recognition camera increases, so the goods transmission speed of the conveying line needs to be slowed down, but when the illuminance is lower than the light threshold value (i.e. at night, the illuminating lamp is damaged), the barcode recognition camera cannot capture the barcode, so the system controls the sorting line to stop running, and after the illuminance is higher than the light threshold value, the sorting line continues to run.

[0102] Embodiment 4

[0103] The warehouse goods intelligent sorting system described in this embodiment comprises a first acquisition module, a second acquisition module, a processing module, a comparison module and an adjustment module.

[0104] The first acquisition module is used for acquiring the equipment parameters of the sorting line.

[0105] The second acquisition module is used for acquiring the environment parameters of the sorting line.

[0106] The processing module establishes a health coefficient by non-dimensional processing of the equipment parameters, and establishes an environment coefficient by non-dimensional processing of the environment parameters.

[0107] The comparison module is used for comparing the health coefficient with the health threshold value, and comparing the environment coefficient with the environment threshold value.

[0108] The adjustment module adjusts the goods transmission speed of the sorting line according to the comparison result of the health coefficient and the health threshold value and the comparison result of the environment coefficient and the environment threshold value.

[0109] The adjustment module adjusts the goods transmission speed of the sorting line according to the comparison result of the health coefficient and the health threshold value and the comparison result of the environment coefficient and the environment threshold value.

[0110] The adjusting module: if the health coefficient is greater than the health threshold, the sorting goods of the sorting pipeline, and if the environment coefficient is less than the environment threshold, the speed of the sorting pipeline is reduced.

[0111] The above-described embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented by software, the above-described embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wired (such as infrared, wireless, microwave, etc.) mode. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. containing one or more available medium collections. The available medium can be a magnetic medium (such as a floppy disk, a hard disk, a magnetic tape), an optical medium (such as a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state disk.

[0112] It should be understood that the term "and / or" herein merely describes the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B can represent the following three cases: A exists alone, A and B exist together, and B exists alone, where A and B can be singular or plural. In addition, the character " / " herein generally represents that the front and rear associated objects are in an "or" relationship, but can also represent an "and / or" relationship, which can be understood according to the context.

[0113] In this application, "at least one" means one or more, and "multiple" means two or more. "At least one of the following" or similar expressions means any combination of these items, including any combination of single or multiple items. For example, at least one of a, b, or c can mean a, b, c, a-b, a-c, b-c, or a-b-c, where a, b, and c can be single or multiple.

[0114] It should be understood that in various embodiments of the present application, the size of the sequence number of the above-described processes does not mean the order of execution, and the execution order of the processes should be determined according to their functions and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0115] Those skilled in the art can clearly understand that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0116] Those skilled in the art can clearly understand that, for the convenience and brevity of the description, the specific working processes of the above-described system, device and unit can refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

[0117] In several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the above-described device embodiments are only schematic, for example, the division of the units is only a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or other forms.

[0118] The units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. According to actual needs, some or all of the units can be selected to achieve the purpose of the embodiment.

[0119] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically independently, or two or more units can be integrated into one unit.

[0120] If the functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the parts that contribute to the prior art or parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0121] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. Warehouse goods intelligent sorting method, characterized in that: The sorting method comprises the following steps: S1: the processing end enables the corresponding sorting assembly line according to the comparison result of the device health coefficient established by the collection end and the health threshold value; S2: the goods enter the sorting assembly line for sorting, and the collection end establishes an environment coefficient; S3: the processing end adjusts the goods transmission speed of the sorting assembly line in real time through the comparison result of the environment coefficient and the environment threshold value; S4: the goods are transferred to the palletizing robot, and the palletizing robot places the goods in the corresponding area of the container according to the bar code recognition result; Step S2 comprises the following steps: S2.1: the collection end collects the bar code integrity and brightness; S2.2: the bar code integrity and brightness are respectively calibrated as Wzd and Gld; S2.3: the bar code integrity and brightness are dimensionless processed to establish an environment coefficient Hjxs, and the expression is: In the formula, respectively are the proportionality coefficient of barcode integrity and brightness, Both are greater than 0, C is an error correction factor, the value is 0.8426, and .

2. The warehouse goods intelligent sorting method according to claim 1, characterized in that: Step S1 comprises the following steps: S1.1: the collection end collects the noise decibel, maintenance interval time, power factor and aging rate of the equipment in the sorting assembly line; S1.2: the noise decibel, maintenance interval time, power factor and aging rate are respectively calibrated as Zyfb, Byjg, Glys and Lhi; S1.3: the noise decibel, maintenance interval time, power factor and aging rate are dimensionless processed to establish a device health coefficient Jkxs after removing the units, and the expression is: In the formula, are the proportional coefficients of noise decibel, maintenance interval length, power factor and aging rate, respectively, are greater than 0, and .

3. The warehouse goods intelligent sorting method according to claim 2, characterized in that: Step S1 further comprises the following steps: S1.4: Comparing the device health coefficient Jkxs with a health threshold, if the health coefficient Jkxs the health threshold, the sorting line is put into operation; S1.5: the health coefficient Jkxs All sorting pipelines of the health threshold are selected, and the difference value is calculated by the formula difference value = health coefficient - health threshold. The larger the difference value is, the better the health degree of the sorting pipeline is. The sorting pipeline with the largest difference value is selected to sort the goods.

4. The warehouse goods intelligent sorting method according to claim 3, characterized in that: In step S1.5, when a single sorting assembly line is insufficient to sort all goods, other sorting assembly lines need to be added for use together, comprising the following steps: S1.51: removing health coefficient sorting pipeline of health threshold; S1.52: the remaining sorting assembly lines calculate the difference value Xcz through the formula: Xcz=health coefficient-health threshold value; S1.53: the sorting assembly lines are sorted in descending order of the difference value Xcz; S1.54: the system selects the sorting assembly lines to sort goods in descending order of the difference value Xcz.

5. The warehouse goods intelligent sorting method according to claim 1, characterized in that: In step S1.54, if the sorting system comprises at least three sorting assembly lines, the operation logic is: The three sorting pipelines are sorting pipeline 1, sorting pipeline 2, and sorting pipeline 3, and the health coefficients of the three sorting pipelines are Jkxs1, Jkxs2, and Jkxs3, respectively If the health coefficient Jkxs1 is less than the health threshold value, the sorting pipeline 1 is excluded from the system, if the health coefficient Jkxs2 is less than the health threshold value If the health coefficient Jkxs3 is less than the health threshold value, the sorting pipeline 2 is arranged in front of the sorting pipeline 3, if the health coefficient Jkxs2 is less than the health threshold value If the health coefficient Jkxs3 is less than the health threshold value, the sorting pipeline 2 is arranged in front of the sorting pipeline 3, if the health coefficient Jkxs2 is less than the health threshold value.

6. The warehouse goods intelligent sorting method according to claim 4, characterized in that: The noise decibel is collected by a decibel meter arranged at the sorting assembly line; Maintenance interval length ; The power factor is collected by a power factor table arranged on the equipment; aging rate .

7. The warehouse smart sortation method of claim 1, wherein: Step S2 further comprises the following steps: S2.4: compare the environmental coefficient Hjxs with the environmental threshold, if the environmental coefficient Hjxs The environmental threshold is used to slow down the speed of the goods transmission of the sorting pipeline regulated by the system. If the environment coefficient Hjxs The smaller the value of the environment threshold and the environment coefficient Hjxs - environment threshold, the slower the system adjusts the goods conveying speed of the sorting pipeline. If the environmental coefficient Hjxs The environmental threshold, the goods conveying speed of the sorting pipeline is unchanged.

8. The warehouse item intelligent sorting method of claim 7, wherein: The bar code integrity is collected by a camera arranged at the entry end of the conveyor; The brightness is monitored by an illumination sensor arranged near the bar code recognition camera.

9. Warehouse goods intelligent sorting system for implementing the sorting method according to any one of claims 1-8, characterized in that: It comprises a first collection module, a second collection module, a processing module, a comparison module and an adjustment module; The first acquisition module acquires the equipment parameters of the sorting flow line, the second acquisition module acquires the environmental parameters of the sorting flow line, the processing module performs dimensionless processing on the equipment parameters to establish a health coefficient, performs dimensionless processing on the environmental parameters to establish an environmental coefficient, the comparison module compares the health coefficient with a health threshold value and compares the environmental coefficient with an environmental threshold value, and the adjustment module selects the health coefficient The sorting flow line sorts goods according to the health threshold value, and if the environmental coefficient The environmental threshold value, and the speed of the sorting flow line for conveying goods is reduced.

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