CN117635026A - Intelligent storage method for automatically identifying and sorting goods - Google Patents
Intelligent storage method for automatically identifying and sorting goods Download PDFInfo
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Abstract
The application provides an intelligent warehousing method for automatically identifying and sorting goods, which relates to the technical field of goods sorting and warehousing, and comprises the following steps: connecting an automatic scanning module to obtain goods scanning data; obtaining a first-level classification result and determining a target sorting path; obtaining a secondary classification result; utilizing the quality distribution uniformity to carry out warehouse distribution on the secondary classification result, and determining sorting warehouse distribution information; determining an article sorting and warehousing path, and establishing a mapping relation between the article sorting and warehousing path and tag identification information; according to the goods sorting and warehousing path, a warehousing execution operation instruction is generated and sent to a warehousing control platform, so that the technical problems that goods are stacked in disorder and collapse risks are easy to occur due to the lack of characteristic analysis on the types, the self-quality and the volume of the goods in the prior art are solved, and the technical effects of realizing goods sorting and warehousing and improving the storage stability and the storage space utilization rate of the goods are achieved.
Description
Technical Field
The application relates to the technical field of goods sorting and storage, in particular to an intelligent storage method for automatically identifying and sorting goods.
Background
The modern logistics industry is rapidly developing to intellectualization and networking. In the storage link, the automation and intelligent technology is widely applied. Traditional warehousing systems have gradually been replaced by modern automated warehouses. The existing automatic warehouse is used for storing goods by identifying goods labels when the goods are sorted and stored, but the characteristic analysis on the type, the self-quality and the volume of the goods is lacked, so that the goods are placed in a messy way, and collapse risks are easy to occur.
Disclosure of Invention
The application provides an intelligent storage method for automatically identifying and sorting goods, which is used for solving the technical problem that the goods are stacked in disorder and collapse risks are easy to occur due to the lack of characteristic analysis on the type, the self-quality and the volume of the goods in the prior art.
According to a first aspect of the present application, there is provided an intelligent warehousing method for automatically identifying and sorting goods, including: connecting an automatic scanning module to obtain goods scanning data, wherein the goods scanning data comprises label identification information, a volume identification result, a quality identification result and quality distribution uniformity; performing target ground recognition according to the tag recognition information to obtain a first-level classification result and determine a target sorting path; based on the primary classification result, carrying out goods storage classification according to the volume identification result and the quality identification result to obtain a secondary classification result; utilizing the quality distribution uniformity to carry out warehouse distribution on the secondary classification result, and determining sorting warehouse distribution information; determining an article sorting and warehousing path according to the sorting and warehousing distribution information and the target sorting path, and establishing a mapping relation between the article sorting and warehousing path and the tag identification information; and according to the goods sorting warehouse path, generating a warehouse execution operation instruction and sending the warehouse execution operation instruction to a warehouse control platform.
According to a second aspect of the present application, there is provided an intelligent warehousing system for automatic identification and sorting of goods, comprising: the goods scanning data extraction unit is used for connecting an automatic scanning module to obtain goods scanning data, wherein the goods scanning data comprises label identification information, a volume identification result, a quality identification result and quality distribution uniformity; the sorting path determining unit is used for carrying out target identification according to the label identification information, obtaining a first-level sorting result and determining a target sorting path; the goods storage classifying unit is used for carrying out goods storage classification according to the volume recognition result and the quality recognition result based on the primary classification result to obtain a secondary classification result; the storage distribution unit is used for carrying out storage distribution on the secondary classification result by utilizing the quality distribution uniformity and determining sorting storage distribution information; the sorting warehouse path determining unit is used for determining an article sorting warehouse path according to the sorting warehouse distribution information and the target sorting path and establishing a mapping relation between the article sorting warehouse path and the tag identification information; the storage control unit is used for generating storage execution operation instructions according to the goods sorting storage paths and sending the storage execution operation instructions to the storage control platform.
According to one or more technical schemes adopted by the application, the beneficial effects which can be achieved are as follows: connecting an automatic scanning module to obtain article scanning data, wherein the article scanning data comprises label identification information, a volume identification result, a quality identification result and quality distribution uniformity, carrying out target identification according to the label identification information, obtaining a first-stage classification result and determining a target sorting path, carrying out article storage classification according to the volume identification result and the quality identification result based on the first-stage classification result, obtaining a second-stage classification result, carrying out storage distribution on the second-stage classification result by utilizing the quality distribution uniformity, determining sorting storage distribution information, determining an article sorting storage path according to the sorting storage distribution information and the target sorting path, establishing a mapping relation between the article sorting storage path and the label identification information, generating storage execution operation instructions according to the article sorting storage path, and sending the storage execution operation instructions to a storage control platform. The storage sorting path is determined based on the address, the time limit and the category of the goods, and then goods stacking analysis is performed based on the size, the quality and the quality distribution uniformity of the goods, so that the technical effects of realizing the classified storage of the goods and improving the storage stability and the storage space utilization rate of the goods are achieved.
Drawings
In order to more clearly illustrate the technical solutions of the present application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. The accompanying drawings, which form a part hereof, illustrate embodiments of the present application and, together with the description, serve to explain the present application and not to limit the application unduly, and to enable a person skilled in the art to make and use other drawings without the benefit of the present inventive subject matter.
Fig. 1 is a schematic flow chart of an intelligent warehousing method for automatically identifying and sorting goods according to an embodiment of the present application.
Fig. 2 is a schematic structural diagram of an intelligent warehousing system for automatically identifying and sorting goods according to an embodiment of the present application.
Reference numerals illustrate:
11. an article scanning data extracting unit; 12. a sorting path determining unit; 13. a goods storage classification unit; 14. a warehouse distribution unit; 15. a sorting warehouse path determining unit; 16. and a storage control unit.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, exemplary embodiments of the present application will be described in detail below with reference to the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application and not all of the embodiments of the present application, and it should be understood that the present application is not limited by the example embodiments described herein.
The terminology used in the description is for the purpose of describing embodiments only and is not intended to be limiting of the application. As used in this specification, the singular terms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms "comprises" and/or "comprising," when used in this specification, specify the presence of steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other steps, operations, elements, components, and/or groups thereof.
Unless defined otherwise, all terms (including technical and scientific terms) used in this specification should have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. Terms, such as those defined in commonly used dictionaries, should not be interpreted in an idealized or overly formal sense unless expressly so defined herein. Like numbers refer to like elements throughout.
It should be noted that, the user information (including, but not limited to, user equipment information, user personal information, etc.) and the data (including, but not limited to, data for presentation, analyzed data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
Example 1
Fig. 1 is a diagram of an intelligent warehousing method for automatically identifying and sorting goods, which is provided by an embodiment of the present application, the method includes:
connecting an automatic scanning module to obtain goods scanning data, wherein the goods scanning data comprises label identification information, a volume identification result, a quality identification result and quality distribution uniformity;
the goods are generally provided with bar codes, RFID labels or other labels for storing information such as names, manufacturers, delivery destinations and the like of the goods, and the labels are scanned by scanning equipment, so that the information stored in the labels can be automatically identified and obtained to serve as label identification information.
When goods are stored, the stability of goods storage and placement can be affected by the size, quality distribution uniformity and the like of the goods, so that the identification of the size, quality and quality distribution uniformity is required to be carried out through the existing detection equipment, and the label identification information, the size identification result, the quality identification result and the quality distribution uniformity form the goods scanning data.
In a preferred embodiment, further comprising:
setting a scanning area, and determining a scanning target range based on the scanning area; setting a label scanning device, a volume detection device and a quality detection device according to the scanning target range; based on the setting range of the quality detection equipment, uniformly partitioning the bottom of the quality detection range, arranging quality uniformity detection equipment, and establishing a corresponding relation between the positioning area of the quality uniformity detection equipment and the bottom area of the volume; and setting an activation instruction mapping array of the quality uniformity detection equipment based on the corresponding relation.
Before the automatic scanning module is connected to obtain the goods scanning data, the arrangement of the label scanning equipment, the volume detection equipment and the quality detection equipment is needed, so that the goods scanning data are acquired. The specific method comprises the following steps:
firstly, a scanning area is set, wherein the scanning area refers to an area for scanning an article, can be simply understood as a temporary transportation area of the article, and is used for warehouse management after scanning of article scanning data in the scanning area, and the actual determination is specifically needed. And determining a scanning target range based on the scanning area, so that the goods in the scanning area can be conveniently scanned, and particularly the size of the scanning area is taken as the scanning target range. Setting a label scanning device, a volume detection device and a quality detection device according to the scanning target range, wherein the label scanning device, the volume detection device and the quality detection device are all sensors in the prior art, and the label scanning device is used for scanning labels of goods to acquire label identification information; the volume detection device is used for detecting the volume of the goods; the quality detection device is used for detecting the quality of the goods. The detection ranges corresponding to the tag scanning device, the volume detection device and the quality detection device can be obtained, for example, objects within a distance of 1 meter can be detected, the tag scanning device, the volume detection device and the quality detection device are arranged according to the respective detection ranges and combined with the scanning target range, and the tag scanning device, the volume detection device and the quality detection device can detect all goods within the scanning target range to obtain the arrangement positions of the tag scanning device, the volume detection device and the quality detection device.
And taking the setting position of the quality detection equipment as the setting range of the quality detection equipment, so that the quality detection of the goods in the range can be realized. Further, based on the setting range of the quality detection equipment, the bottom of the quality detection range is uniformly partitioned, the quality uniformity detection equipment is arranged, and the corresponding relation between the positioning area of the quality uniformity detection equipment and the area of the bottom of the volume is established. The positioning area of the quality uniformity detecting device is the detecting range of the quality uniformity detecting device, and the area of the bottom of the volume is the partition result of the uniform partition at the bottom of the quality detecting range. Based on the corresponding relation, an activation instruction mapping array of the quality uniformity detection equipment is set, that is, all the quality uniformity detection equipment does not need to be activated in each scanning, and the corresponding quality uniformity detection equipment only needs to be obtained by matching the instruction mapping array according to the volume bottom area.
Therefore, the label scanning equipment, the volume detecting equipment, the quality detecting equipment and the quality uniformity detecting equipment are arranged, a foundation is provided for subsequent goods scanning, and goods scanning data can be accurately acquired, so that warehouse management is performed.
In a preferred embodiment, further comprising:
the automatic scanning module is connected, the label scanning equipment scans the goods label to obtain the label identification information, and the label identification information at least comprises a goods single number, address information, time limit requirements and goods types; the volume detection equipment and the quality detection equipment are used for respectively carrying out outer packing volume detection and quality detection on the goods to obtain the volume identification result and the quality identification result; extracting the bottom area of the volume according to the volume identification result, matching with an activation instruction mapping array, and activating corresponding quality uniformity detection equipment according to the area relation of the matching array to perform quality uniformity detection to obtain the quality distribution uniformity; and integrating the label identification information, the volume identification result, the quality identification result and the quality distribution uniformity based on the goods single number to construct goods scanning data, and storing the goods scanning data into a goods tracking database for identifying, sorting and storing goods and tracking records in a full period.
The method for obtaining the goods scanning data by connecting the automatic scanning module comprises the following steps:
the automatic scanning module is connected, the label scanning equipment scans the goods label to obtain the label identification information, the label identification information at least comprises a goods single number, address information, time limit requirements and goods types, the label identification information is stored in the goods label, and the label identification information is read by scanning the goods label. And carrying out outer packing volume detection and quality detection on the goods through the volume detection equipment and the quality detection equipment respectively, and taking detection results of the volume detection equipment and the quality detection equipment as the volume identification result and the quality identification result. And extracting the volume bottom area according to the volume identification result, namely the area of the contact surface with the scanning area, matching the volume bottom area with the activation instruction mapping array, acquiring quality uniformity detection equipment corresponding to the activation instruction mapping array and the volume bottom area as a matching array area relation, activating the corresponding quality uniformity detection equipment according to the matching array area relation to perform quality uniformity detection, and detecting to obtain the quality distribution uniformity. And integrating the label identification information, the volume identification result, the quality identification result and the quality distribution uniformity based on the goods single number to construct goods scanning data, and storing the goods scanning data into a goods tracking database for identifying, sorting and storing goods and tracking records in a full period. Therefore, the acquisition of the goods scanning data is realized, and a foundation is provided for the subsequent goods sorting and storage.
Performing target ground recognition according to the tag recognition information to obtain a first-level classification result and determine a target sorting path;
in a preferred embodiment, further comprising:
presetting sorting area paths, wherein the sorting area paths comprise multi-category sorting areas, and each sorting area corresponds to a plurality of sorting area paths; inputting the tag identification information into a classification decision tree to obtain the primary classification result; and setting a classification path switching threshold according to the number of paths of the plurality of sorting areas corresponding to each sorting area, and determining the paths of the first-stage classification result based on the classification path switching threshold to obtain the target sorting path.
In a preferred embodiment, further comprising:
acquiring a label identification information sample set, and acquiring address information, time limit requirements and article types of the articles according to the label identification information in the label identification information sample set; according to the address information, an address area classification result is obtained, and the address area classification result is taken as a root classification; obtaining a time limit classification result according to the time limit requirement, and taking the time limit classification result as branch classification; obtaining a category attribute classification result according to the goods category, and classifying the category attribute classification result as leaf classification; and carrying out hierarchical connection on the root classification, the branch classification and the leaf classification, constructing a decision tree model, and training and converging the decision tree model by using the label identification information sample set to obtain the classification decision tree.
The method for identifying the object ground according to the label identification information and obtaining the first-level classification result and determining the object sorting path comprises the following steps:
the method comprises the steps of presetting sorting area paths, wherein each sorting area path comprises a plurality of sorting area paths, each sorting area corresponds to a plurality of sorting area paths, that is, each sorting area is used for storing one type of goods, the plurality of sorting area paths corresponding to each sorting area are a plurality of positions used for storing the goods in the sorting area, each sorting area path has a goods quantity limitation, namely a sorting path switching threshold, namely the goods quantity of the sorting area path reaches the sorting path switching threshold, and then the other sorting area path needs to be switched for storing the goods.
And further inputting the tag identification information into a classification decision tree to obtain the primary classification result, wherein the classification decision tree is constructed based on the existing decision tree model, namely, the classification is carried out according to the address information, the time limit requirement and the goods category, and the classification result is obtained and used as the primary classification result.
The method for obtaining the classification decision tree comprises the following steps: a sample set of tag identification information is obtained, which is of the same type as the data contained in the tag identification information, and is obtained by a person skilled in the art in combination with the prior art. According to the label identification information in the label identification information sample set, acquiring the address information, time limit requirement and article category of the article, dividing the label identification information sample in the label identification information sample set into different categories according to the address information, obtaining a plurality of classification results with different address information as address area classification results, and taking the address area classification results as root classification.
And similarly, reclassifying the address region classification results according to the time limit requirements, reclassifying each address region classification result into time limit classification results with different time limit requirements, and classifying the time limit classification results into branch classification results. Further, according to the goods category, the time limit classification result is divided into different category attribute classification results, and the category attribute classification result is leaf classification. The three-level classification is realized, then the root classification, branch classification and leaf classification are connected in a level mode, the connection result is used as a decision tree model, the decision tree model is trained and converged by utilizing the label identification information sample set, namely, the classification accuracy of the decision tree model is tested, the accuracy meets the requirement, namely, the classification decision tree is obtained, the label identification information is input into the classification decision tree, the primary classification result is obtained, and the primary classification result comprises classification results based on different address information, time limit requirements and goods categories. The model support is provided for the acquisition of the first-level classification result, so that the follow-up storage distribution of different types of goods is facilitated, and the quick access to the acquisition of each type is facilitated.
And setting a sorting path switching threshold according to the number of the paths of the sorting areas corresponding to the sorting areas, wherein the sorting path switching threshold is the limit of the number of the goods corresponding to the paths of the sorting areas respectively, and the sorting path switching threshold is needed to be determined in combination with practice. And if the number of the goods in the sorting area paths reaches the sorting path switching threshold, switching another sorting area path to store the goods, thereby determining the path of the first-stage sorting result based on the sorting path switching threshold, namely, switching the path of the first-stage sorting result according to the sorting path switching threshold corresponding to the sorting area paths, and if the goods corresponding to one sorting result in the first-stage sorting result reach the sorting path switching threshold, switching the rest of goods to the other sorting area path, thereby obtaining the sorting area path of the goods under the first-stage sorting result as the target sorting path.
Therefore, the preliminary setting of the sorting path is realized, the sorting storage of the goods is realized, and the follow-up extraction of the goods is facilitated.
Based on the primary classification result, carrying out goods storage classification according to the volume identification result and the quality identification result to obtain a secondary classification result; the method for obtaining the secondary classification result is exactly the same as the method for obtaining the primary classification result. The same method is adopted to construct a secondary classification decision tree, specifically, a volume recognition result sample and a quality recognition result sample are obtained, a volume classification result is obtained according to the volume recognition result sample, the volume classification result is a root classification, a quality classification result is obtained according to the quality recognition result sample, the quality classification result is a branch classification, the root classification and the branch classification are connected in a hierarchical manner, and the secondary classification decision tree is constructed. And carrying out goods storage classification according to the volume identification result and the quality identification result through a secondary classification decision tree to obtain a secondary classification result. The secondary classification result is a classification result with different volumes and masses obtained after classification based on the primary classification result.
Utilizing the quality distribution uniformity to carry out warehouse distribution on the secondary classification result, and determining sorting warehouse distribution information;
and further utilizing the quality distribution uniformity to carry out storage distribution on the secondary classification result, determining sorting storage distribution information, namely, carrying out goods stacking aiming at the volume, the quality and the quality distribution uniformity of the goods, wherein the goods are stacked to the bottom layer, the volume is large, the quality is large, and the quality uniformity is high, so that the stacking stability is ensured, and the specific implementation method is as follows.
In a preferred embodiment, further comprising:
determining the storage distribution level of the goods according to the secondary classification result, wherein the storage distribution level is used for representing the storage code number partition range of the goods; setting partition distribution tolerance based on the volume and mass range of the storage distribution level; and distributing the goods with the same grade in the storage distribution grade according to the quality distribution uniformity based on the partition distribution tolerance to obtain the sorting storage distribution information.
In a preferred embodiment, further comprising:
based on the storage distribution level, carrying out distribution level stability relation analysis and determining a distribution position stability coefficient; determining a volume difference and a quality difference according to the volume and the quality range; and carrying out stable abnormal decomposition according to the distribution position stability coefficient, the volume difference and the quality difference to obtain the partition distribution tolerance.
In a preferred embodiment, further comprising:
according to the quality distribution uniformity, carrying out code stability evaluation, and determining the stability grade of the goods and the gravity center stress point of the goods; and establishing a storage code goods optimizing model based on the goods stability grade and the goods gravity center stress point by taking the partition distribution tolerance and the distribution position stability coefficient as constraint conditions, and carrying out iterative storage code goods strategy optimizing to obtain the sorting storage distribution information.
Specifically, firstly, according to the secondary classification result, the storage distribution level of the goods is determined, the storage distribution level is used for representing the storage code number partition range of the goods, in short, the goods are required to be stacked in multiple layers, so that the stability of the goods at the bottom layer is required to be ensured to be high, otherwise, unstable accidents such as collapse and the like can be caused. According to the secondary classification results, aiming at the volume recognition result and the quality recognition result in each classification result, carrying out weighted calculation on the volume and the quality in each classification result, taking the classification result with the largest weighted calculation result as the bottom layer, the number of layers is the smallest, and the smaller the weighted result is, the higher the corresponding layer is, and the number of layers stacked by different classification results is obtained as the storage distribution level.
The partition distribution tolerance is further set based on the volume and the mass range of the storage distribution level, and the specific acquisition method comprises the following steps: based on the storage distribution level, carrying out distribution level stability relation analysis to determine a distribution position stability coefficient, colloquially speaking, marking the association relation between two continuous layers on the volume and the quality of the goods by the distribution position stability coefficient, for example, the quality and the volume of the lower layer of goods are required to be larger than the volume and the quality of the upper layer of goods to ensure stability, specifically, carrying out stacking tests on the two continuous layers in the storage distribution level based on the prior art, carrying out stacking tests on different volumes and different qualities, and carrying out stacking state record, wherein the stacking state refers to whether the two continuous layers collapse after stacking, and obtaining the minimum volume difference and the minimum quality difference between the two continuous layers under the condition of no collapse as the distribution position stability coefficient. The historical storage distribution level samples and the corresponding distribution position stability coefficient samples can be obtained, the corresponding distribution position stability coefficient samples are configured by a person skilled in the art in combination with the prior art, the relationship fitting analysis is carried out on the historical storage distribution level samples and the distribution position stability coefficient samples through the prior machine learning model, and the distribution position stability coefficient is output on the storage distribution level based on the analysis result.
The volume and the mass range of the storage distribution level are the volume and the mass range of the goods corresponding to the secondary classification result. And calculating the volume difference and the quality difference between two adjacent layers of goods in the storage distribution level according to the volume and the quality range. And then according to the distribution position stability coefficient and the volume difference and the quality difference, carrying out stable abnormal decomposition, namely obtaining the deviation between the volume difference and the quality difference and the minimum volume difference and the quality difference in the distribution position stability coefficient as the partition distribution tolerance, namely carrying out stacking adjustment of goods within the partition distribution tolerance, and adjusting the generated volume and quality difference to be in line with the partition distribution tolerance, otherwise, the stacked goods are lower in stability and easy to collapse, thereby improving the stability of goods storage and the utilization rate of storage space, and simultaneously reducing collapse risks.
And further distributing and distributing the goods with the same grade in the storage distribution grade according to the quality distribution uniformity based on the partition distribution tolerance, so as to obtain the sorting storage distribution information, wherein the specific method comprises the following steps of:
and evaluating the stability of the goods according to the quality distribution uniformity, and determining the stability grade and the gravity center stress point of the goods, wherein the higher the quality distribution uniformity is, and the gravity center stress point of the goods is the position with the highest quality distribution uniformity. Specifically, based on the prior art, for different quality distribution uniformity samples, different article stability grade samples can be set according to a rule that the higher the quality distribution uniformity is, the higher the article stability grade is, and then a stability evaluation database is built based on the quality distribution uniformity samples and the article stability grade samples, and traversal matching is performed in the stability evaluation database based on the quality distribution uniformity, so as to obtain the corresponding article stability grade.
Further, the partition distribution tolerance and the distribution position stability coefficient are used as constraint conditions, a storage code goods optimizing model is built based on the goods stability grade and the goods gravity center stress point, namely, the goods in different layers in the storage distribution grade of the goods are adjusted through the storage code goods optimizing model, the storage distribution grade of the adjusted goods needs to meet the partition distribution tolerance and the distribution position stability coefficient, then the quality distribution uniformity of each layer in the storage distribution grade of the adjusted goods is subjected to code goods stability evaluation again, the goods stability grade and the goods gravity center stress point are determined, and the like, adjustment of the preset coefficient is carried out, the preset times are set by a person in the field, then the storage distribution grade with the highest goods stability grade is selected, and the storage distribution grade with the goods gravity center stress point closest to the center position is used as the sorting storage distribution information, so that the goods stacking stability and the utilization rate of storage space are improved.
Determining an article sorting and warehousing path according to the sorting and warehousing distribution information and the target sorting path, and establishing a mapping relation between the article sorting and warehousing path and the tag identification information;
And according to the goods sorting warehouse path, generating a warehouse execution operation instruction and sending the warehouse execution operation instruction to a warehouse control platform.
The method comprises the steps of taking the connection combination of the sorting and storage distribution information and the target sorting and storage path as an article sorting and storage path, and establishing a mapping relation between the article sorting and storage path and the tag identification information, namely establishing a mapping relation between the articles with different sorting paths and different storage distribution levels in the article sorting and storage path and the tag identification information corresponding to the articles, so that the articles can be sorted and stored through the article sorting and storage path after the corresponding tag identification information is scanned.
Further according to goods letter sorting storage route, generate storage execution operation instruction and send to storage control platform, storage control platform is the intelligent platform that is used for controlling the goods letter sorting storage, and storage execution operation instruction carries the goods letter sorting storage route, be convenient for storage control platform according to goods letter sorting storage route carries out goods letter sorting storage.
Based on the above analysis, the one or more technical solutions provided in the present application can achieve the following beneficial effects:
connecting an automatic scanning module to obtain article scanning data, wherein the article scanning data comprises label identification information, a volume identification result, a quality identification result and quality distribution uniformity, carrying out target identification according to the label identification information, obtaining a first-stage classification result and determining a target sorting path, carrying out article storage classification according to the volume identification result and the quality identification result based on the first-stage classification result, obtaining a second-stage classification result, carrying out storage distribution on the second-stage classification result by utilizing the quality distribution uniformity, determining sorting storage distribution information, determining an article sorting storage path according to the sorting storage distribution information and the target sorting path, establishing a mapping relation between the article sorting storage path and the label identification information, generating storage execution operation instructions according to the article sorting storage path, and sending the storage execution operation instructions to a storage control platform. The method and the device have the advantages that the sorting path is determined based on the address, the time limit and the category process storage of the goods, goods stacking analysis is further carried out based on the distribution uniformity of the volumes, the masses and the quality of the goods, and the technical effects of achieving goods sorting storage and improving the storage stability and the storage space utilization rate of the goods are achieved.
Example two
Based on the same inventive concept as the intelligent warehousing method for automatically identifying and sorting goods in the foregoing embodiment, as shown in fig. 2, the present application further provides an intelligent warehousing system for automatically identifying and sorting goods, where the system includes:
the goods scanning data extracting unit 11 is used for connecting an automatic scanning module to obtain goods scanning data, wherein the goods scanning data comprises label identification information, a volume identification result, a quality identification result and quality distribution uniformity;
a sorting path determining unit 12, wherein the sorting path determining unit 12 is used for performing target identification according to the tag identification information, obtaining a first-level sorting result and determining a target sorting path;
the goods storage classifying unit 13 is used for carrying out goods storage classification according to the volume recognition result and the quality recognition result based on the primary classification result, and obtaining a secondary classification result;
the warehousing distribution unit 14 is used for carrying out warehousing distribution on the secondary classification result by utilizing the quality distribution uniformity and determining sorting warehousing distribution information;
The sorting warehouse path determining unit 15 is configured to determine an article sorting warehouse path according to the sorting warehouse distribution information and the target sorting path, and establish a mapping relationship between the article sorting warehouse path and the tag identification information;
the warehouse control unit 16, the warehouse control unit 16 is configured to generate a warehouse execution operation instruction according to the goods sorting warehouse path, and send the warehouse execution operation instruction to a warehouse control platform.
Further, the article scanning data extracting unit 11 further includes:
setting a scanning area, and determining a scanning target range based on the scanning area;
setting a label scanning device, a volume detection device and a quality detection device according to the scanning target range;
based on the setting range of the quality detection equipment, uniformly partitioning the bottom of the quality detection range, arranging quality uniformity detection equipment, and establishing a corresponding relation between the positioning area of the quality uniformity detection equipment and the bottom area of the volume;
and setting an activation instruction mapping array of the quality uniformity detection equipment based on the corresponding relation.
Further, the article scanning data extracting unit 11 further includes:
The automatic scanning module is connected, the label scanning equipment scans the goods label to obtain the label identification information, and the label identification information at least comprises a goods single number, address information, time limit requirements and goods types;
the volume detection equipment and the quality detection equipment are used for respectively carrying out outer packing volume detection and quality detection on the goods to obtain the volume identification result and the quality identification result;
extracting the bottom area of the volume according to the volume identification result, matching with an activation instruction mapping array, and activating corresponding quality uniformity detection equipment according to the area relation of the matching array to perform quality uniformity detection to obtain the quality distribution uniformity;
and integrating the label identification information, the volume identification result, the quality identification result and the quality distribution uniformity based on the goods single number to construct goods scanning data, and storing the goods scanning data into a goods tracking database for identifying, sorting and storing goods and tracking records in a full period.
Further, the sorting path determining unit 12 further includes:
presetting sorting area paths, wherein the sorting area paths comprise multi-category sorting areas, and each sorting area corresponds to a plurality of sorting area paths;
Inputting the tag identification information into a classification decision tree to obtain the primary classification result;
and setting a classification path switching threshold according to the number of paths of the plurality of sorting areas corresponding to each sorting area, and determining the paths of the first-stage classification result based on the classification path switching threshold to obtain the target sorting path.
Further, the sorting path determining unit 12 further includes:
acquiring a label identification information sample set, and acquiring address information, time limit requirements and article types of the articles according to the label identification information in the label identification information sample set;
according to the address information, an address area classification result is obtained, and the address area classification result is taken as a root classification;
obtaining a time limit classification result according to the time limit requirement, and taking the time limit classification result as branch classification;
obtaining a category attribute classification result according to the goods category, and classifying the category attribute classification result as leaf classification;
and carrying out hierarchical connection on the root classification, the branch classification and the leaf classification, constructing a decision tree model, and training and converging the decision tree model by using the label identification information sample set to obtain the classification decision tree.
Further, the warehouse distribution unit 14 further includes:
determining the storage distribution level of the goods according to the secondary classification result, wherein the storage distribution level is used for representing the storage code number partition range of the goods;
setting partition distribution tolerance based on the volume and mass range of the storage distribution level;
and distributing the goods with the same grade in the storage distribution grade according to the quality distribution uniformity based on the partition distribution tolerance to obtain the sorting storage distribution information.
Further, the warehouse distribution unit 14 further includes:
based on the storage distribution level, carrying out distribution level stability relation analysis and determining a distribution position stability coefficient;
determining a volume difference and a quality difference according to the volume and the quality range;
and carrying out stable abnormal decomposition according to the distribution position stability coefficient, the volume difference and the quality difference to obtain the partition distribution tolerance.
Further, the warehouse distribution unit 14 further includes:
according to the quality distribution uniformity, carrying out code stability evaluation, and determining the stability grade of the goods and the gravity center stress point of the goods;
and establishing a storage code goods optimizing model based on the goods stability grade and the goods gravity center stress point by taking the partition distribution tolerance and the distribution position stability coefficient as constraint conditions, and carrying out iterative storage code goods strategy optimizing to obtain the sorting storage distribution information.
The specific example of the automatic identification and sorting intelligent warehousing method for goods in the first embodiment is also applicable to the automatic identification and sorting intelligent warehousing system for goods in the present embodiment, and by the foregoing detailed description of the automatic identification and sorting intelligent warehousing method for goods, those skilled in the art can clearly know the automatic identification and sorting intelligent warehousing system for goods in the present embodiment, so that the details thereof will not be described herein for brevity.
It should be understood that the various forms of flow shown above, reordered, added, or deleted steps may be used, as long as the desired results of the presently disclosed technology are achieved, and are not limited herein. Note that the above is only a preferred embodiment of the present application and the technical principle applied. Those skilled in the art will appreciate that the present application is not limited to the particular embodiments described herein, but is capable of numerous obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the present application. Therefore, while the present application has been described in connection with the above embodiments, the present application is not limited to the above embodiments, but may include many other equivalent embodiments without departing from the spirit of the present application, the scope of which is defined by the scope of the appended claims.
Claims (9)
1. An intelligent warehousing method for automatically identifying and sorting goods is characterized by comprising the following steps:
connecting an automatic scanning module to obtain goods scanning data, wherein the goods scanning data comprises label identification information, a volume identification result, a quality identification result and quality distribution uniformity;
performing target ground recognition according to the tag recognition information to obtain a first-level classification result and determine a target sorting path;
based on the primary classification result, carrying out goods storage classification according to the volume identification result and the quality identification result to obtain a secondary classification result;
utilizing the quality distribution uniformity to carry out warehouse distribution on the secondary classification result, and determining sorting warehouse distribution information;
determining an article sorting and warehousing path according to the sorting and warehousing distribution information and the target sorting path, and establishing a mapping relation between the article sorting and warehousing path and the tag identification information;
and according to the goods sorting warehouse path, generating a warehouse execution operation instruction and sending the warehouse execution operation instruction to a warehouse control platform.
2. The intelligent warehousing method for automatic identification and sorting of goods according to claim 1, wherein the connecting the automatic scanning module, before obtaining the goods scanning data, comprises:
Setting a scanning area, and determining a scanning target range based on the scanning area;
setting a label scanning device, a volume detection device and a quality detection device according to the scanning target range;
based on the setting range of the quality detection equipment, uniformly partitioning the bottom of the quality detection range, arranging quality uniformity detection equipment, and establishing a corresponding relation between the positioning area of the quality uniformity detection equipment and the bottom area of the volume;
and setting an activation instruction mapping array of the quality uniformity detection equipment based on the corresponding relation.
3. The intelligent warehousing method for automatic identification and sorting of goods according to claim 2, wherein the connecting the automatic scanning module to obtain the goods scanning data comprises:
the automatic scanning module is connected, the label scanning equipment scans the goods label to obtain the label identification information, and the label identification information at least comprises a goods single number, address information, time limit requirements and goods types;
the volume detection equipment and the quality detection equipment are used for respectively carrying out outer packing volume detection and quality detection on the goods to obtain the volume identification result and the quality identification result;
Extracting the bottom area of the volume according to the volume identification result, matching with an activation instruction mapping array, and activating corresponding quality uniformity detection equipment according to the area relation of the matching array to perform quality uniformity detection to obtain the quality distribution uniformity;
and integrating the label identification information, the volume identification result, the quality identification result and the quality distribution uniformity based on the goods single number to construct goods scanning data, and storing the goods scanning data into a goods tracking database for identifying, sorting and storing goods and tracking records in a full period.
4. The intelligent warehousing method for automatic identification and sorting of goods according to claim 1, wherein the target identification is performed according to the tag identification information, a first class classification result is obtained and a target sorting path is determined, comprising:
presetting sorting area paths, wherein the sorting area paths comprise multi-category sorting areas, and each sorting area corresponds to a plurality of sorting area paths;
inputting the tag identification information into a classification decision tree to obtain the primary classification result;
and setting a classification path switching threshold according to the number of paths of the plurality of sorting areas corresponding to each sorting area, and determining the paths of the first-stage classification result based on the classification path switching threshold to obtain the target sorting path.
5. The intelligent warehousing method according to claim 4, wherein the inputting the tag identification information into the classification decision tree to obtain the primary classification result comprises:
acquiring a label identification information sample set, and acquiring address information, time limit requirements and article types of the articles according to the label identification information in the label identification information sample set;
according to the address information, an address area classification result is obtained, and the address area classification result is taken as a root classification;
obtaining a time limit classification result according to the time limit requirement, and taking the time limit classification result as branch classification;
obtaining a category attribute classification result according to the goods category, and classifying the category attribute classification result as leaf classification;
and carrying out hierarchical connection on the root classification, the branch classification and the leaf classification, constructing a decision tree model, and training and converging the decision tree model by using the label identification information sample set to obtain the classification decision tree.
6. The intelligent warehousing method for automatic identification and sorting of goods according to claim 1, wherein the warehousing distribution of the secondary classification result is performed by using the quality distribution uniformity, and the determining of the sorting warehousing distribution information includes:
Determining the storage distribution level of the goods according to the secondary classification result, wherein the storage distribution level is used for representing the storage code number partition range of the goods;
setting partition distribution tolerance based on the volume and mass range of the storage distribution level;
and distributing the goods with the same grade in the storage distribution grade according to the quality distribution uniformity based on the partition distribution tolerance to obtain the sorting storage distribution information.
7. The intelligent warehousing method for automatic identification and sorting of goods according to claim 6, wherein setting partition distribution tolerance based on the volume and mass range of the warehousing distribution level comprises:
based on the storage distribution level, carrying out distribution level stability relation analysis and determining a distribution position stability coefficient;
determining a volume difference and a quality difference according to the volume and the quality range;
and carrying out stable abnormal decomposition according to the distribution position stability coefficient, the volume difference and the quality difference to obtain the partition distribution tolerance.
8. The intelligent warehousing method for automatic identification and sorting of goods according to claim 7, wherein based on the partition distribution tolerance, distribution of the same-grade goods in the warehousing distribution level according to the quality distribution uniformity is performed to obtain the sorting warehousing distribution information, comprising:
According to the quality distribution uniformity, carrying out code stability evaluation, and determining the stability grade of the goods and the gravity center stress point of the goods;
and establishing a storage code goods optimizing model based on the goods stability grade and the goods gravity center stress point by taking the partition distribution tolerance and the distribution position stability coefficient as constraint conditions, and carrying out iterative storage code goods strategy optimizing to obtain the sorting storage distribution information.
9. An intelligent warehousing system for automatic identification and sorting of goods, characterized by the steps for performing the intelligent warehousing method for automatic identification and sorting of goods according to any one of claims 1 to 8, the intelligent warehousing system for automatic identification and sorting of goods comprising:
the goods scanning data extraction unit is used for connecting an automatic scanning module to obtain goods scanning data, wherein the goods scanning data comprises label identification information, a volume identification result, a quality identification result and quality distribution uniformity;
the sorting path determining unit is used for carrying out target identification according to the label identification information, obtaining a first-level sorting result and determining a target sorting path;
The goods storage classifying unit is used for carrying out goods storage classification according to the volume recognition result and the quality recognition result based on the primary classification result to obtain a secondary classification result;
the storage distribution unit is used for carrying out storage distribution on the secondary classification result by utilizing the quality distribution uniformity and determining sorting storage distribution information;
the sorting warehouse path determining unit is used for determining an article sorting warehouse path according to the sorting warehouse distribution information and the target sorting path and establishing a mapping relation between the article sorting warehouse path and the tag identification information; the storage control unit is used for generating storage execution operation instructions according to the goods sorting storage paths and sending the storage execution operation instructions to the storage control platform.
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