CN113626466B - Material management method and system based on industrial internet and computer storage medium - Google Patents
Material management method and system based on industrial internet and computer storage medium Download PDFInfo
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Abstract
The embodiment of the application provides a material management method and system based on an industrial internet and a computer-readable storage medium. The material management method based on the industrial internet comprises the following steps: acquiring a material management database of a target enterprise from a cloud, acquiring a material image of a material to be processed, which is acquired by sensor equipment, and extracting character features in the material image; matching the characters with the names of all material levels in the material management database, and determining a target directory of the material to be processed, which is correspondingly archived; and updating the material management database from a cloud based on the target directory and the material information of the material to be processed. According to the technical scheme of the embodiment of the application, the warehousing materials and the ex-warehouse materials are identified, and the cloud material management database is updated in real time, so that second-level material management and updating can be realized, and the efficiency and the accuracy of material management are greatly improved.
Description
Technical Field
The application relates to the technical field of computers, in particular to a material management method, a material management system and a computer-readable storage medium based on an industrial internet.
Background
With the continuous improvement of market demand and the continuous growth of social resource development, the material demand in the field of industry is more and more abundant in variety and more intensive in quantity. And with the increase of uncertain factors of production, the production requirements of various materials are higher and higher, and often the material management mode of an enterprise cannot be integrated with the production and the market, for example, the material management efficiency is low, the management mode is backward, and the like, and the various current situations directly or indirectly influence the production efficiency and the market benefit and cause the problem of backward production benefit.
With the development of the industrial 4.0 technology, the industrial internet realizes the comprehensive perception, dynamic transmission, real-time analysis, scientific decision formation and intelligent control of industrial data by constructing a basic network for connecting machines, materials, people and information systems, so that the industrial internet has great potential and advantages in the field of material management so as to be applied to the field of material management and improve the accuracy and efficiency of material management.
Disclosure of Invention
The embodiment of the application provides a material management method and system based on an industrial internet and a computer readable storage medium, so that second-level material management and updating can be realized at least to a certain extent, and the efficiency and the accuracy of material management are greatly improved.
Other features and advantages of the present application will be apparent from the following detailed description, or may be learned by practice of the application.
According to an aspect of an embodiment of the present application, there is provided a material management method based on an industrial internet, including: the method comprises the steps that a material management database of a target enterprise is obtained from a cloud, wherein the material management database comprises at least two material levels; acquiring a material image of a material to be processed acquired by sensor equipment, wherein the material to be processed comprises a material to be stored in a warehouse or a material to be taken out of the warehouse; extracting character features in the material image; matching the characters with the names of all material levels in the material management database, and determining a target directory of the material to be processed, which is correspondingly archived; and updating the material management database from a cloud based on the target directory and the material information of the material to be processed.
According to an aspect of an embodiment of the present application, there is provided an industrial internet-based material management system, including:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring a material management database of a target enterprise from a cloud, and the material management database comprises at least two material levels;
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring material images of materials to be processed acquired by sensor equipment, and the materials to be processed comprise materials to be stored in or materials to be discharged from the storage;
the extraction module is used for extracting character features in the material image;
the matching module is used for matching the names of all material levels in the material management database based on the character characteristics and determining a target directory of the material to be processed, which is correspondingly archived;
and the updating module is used for updating the material management database from a cloud end based on the target directory and the material information of the material to be processed.
In some embodiments of the present application, based on the foregoing scheme, the matching, based on the text features, the names of the material levels in the material management database to determine the archived target catalog corresponding to the material to be processed includes: carrying out quantization processing on the character features to obtain a first feature sequence corresponding to the character features; quantizing the names of all material levels in the material management database to obtain a second characteristic sequence corresponding to the names of all the material levels; calculating the matching degree between the first characteristic sequence and the second characteristic sequence based on the first characteristic sequence and the second characteristic sequence; and taking the directory corresponding to the second characteristic sequence with the maximum matching degree as the target directory.
In some embodiments of the present application, based on the foregoing solution, the calculating a matching degree between the first feature sequence and the second feature sequence based on the first feature sequence and the second feature sequence includes: calculating the matching degree between the first characteristic sequence and the second characteristic sequence by the following formula:
wherein X ═ { X ═ X1，x2，…xi，…xnIs used to denote a first sequence of features, x1，x2，…xi，…xnFor representing feature parameters constituting the first feature sequence; y ═ Y1，y2，…yi，…ynIs used to denote a second sequence of features, y1，y2，…yi，…ynFor representing the characteristic parameters constituting the second characteristic sequence; i is used to denote the number of features, n is used to denote the total number of features, and 1 ≦ i ≦ n.
In some embodiments of the present application, based on the foregoing, the material grades comprise a first material grade and a second material grade, wherein the grade of the first material grade is higher than the second material grade; the matching with the names of the material grades in the material management database based on the character features to determine the target directory of the corresponding files of the materials to be processed comprises the following steps: matching the character features with the names of the first material levels based on the first material levels in the material management database, and determining a first target level corresponding to the character features from the first material levels; and matching the name of the second material grade under the first target grade with the character characteristics, and determining a target directory of the to-be-processed material corresponding to the archive from the second material grade under the first target grade.
In some embodiments of the present application, based on the foregoing scheme, the extracting text features in the material image includes: identifying a text area in the material image; detecting whether the characters in the character area are complete; and if the characters are complete, extracting character features in the material image based on a character extraction algorithm.
In some embodiments of the present application, based on the foregoing solution, the method further comprises: counting material delivery data in a preset period, wherein the material delivery data comprises delivery material names, single-day delivery frequency and periodic delivery total amount corresponding to each material; calculating application fork weight coefficients corresponding to the materials based on the material ex-warehouse data; predicting the material demand quantity in the next time period based on the application fork weight coefficient; and updating the demand report of the material management database based on the material demand quantity.
In some embodiments of the application, based on the foregoing scheme, the calculating, based on the material ex-warehouse data, an application fork weight coefficient corresponding to each material includes: calculating the application weight coefficient by the following formula:
Hea_mat＝α·eFre _day·log2Del_per
wherein, a represents a preset heat adjusting parameter, Fre _ day is used for representing the single-day ex-warehouse frequency corresponding to the single-day ex-warehouse quantity, Del _ per is used for representing the corresponding periodic ex-warehouse total quantity in the counting period, and one period can be one week, one month or one quarter.
In some embodiments of the present application, based on the foregoing scheme, the predicting the amount of the material required in the next time period based on the application fork weight coefficient includes: based on the application fork weight coefficient and the total ex-warehouse quantity Num _ a corresponding to all the materials in the preset period, calculating the required quantity of the materials by the following formula:
Num_ned＝β·Hea_mat·log2Num_a
where β is used to represent a quantity adjustment parameter.
According to an aspect of embodiments of the present application, there is provided a computer-readable medium on which a computer program is stored, the computer program, when executed by a processor, implementing the industrial internet-based material management method as described in the above embodiments.
According to an aspect of embodiments herein, there is provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the industrial internet-based material management method provided in the above-mentioned various alternative implementations.
In the technical scheme provided by some embodiments of the application, a material management database of a target enterprise is acquired from a cloud, a material image of a material to be processed acquired by sensor equipment is acquired, and character features in the material image are extracted; matching the characters with the names of all material levels in the material management database, and determining a target directory of the material to be processed, which is correspondingly archived; and updating the material management database from a cloud based on the target directory and the material information of the material to be processed. According to the technical scheme of the embodiment of the application, the warehousing materials and the ex-warehouse materials are identified, and the cloud material management database is updated in real time, so that second-level material management and updating can be realized, and the efficiency and the accuracy of material management are greatly improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application. It is obvious that the drawings in the following description are only some embodiments of the application, and that for a person skilled in the art, other drawings can be derived from them without inventive effort. In the drawings:
fig. 1 schematically shows a schematic diagram of an industrial internet-based material management method according to an embodiment of the present application:
fig. 2 schematically shows a schematic diagram of an industrial internet-based material management system according to an embodiment of the present application.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the application. One skilled in the relevant art will recognize, however, that the subject matter of the present application can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known methods, devices, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the application.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
The implementation details of the technical solution of the embodiment of the present application are set forth in detail below:
fig. 1 illustrates a flowchart of an industrial internet-based material management method, which can be performed by a terminal device, according to an embodiment of the present application. Referring to fig. 1, the method for managing materials based on the industrial internet at least includes steps S110 to S250, which are described in detail as follows:
in step S110, a material management database of a target enterprise is obtained from a cloud, where the material management database includes at least two material levels.
In an embodiment of the application, the material management database can be stored in the server and also can be stored in the cloud, so that the material data can be stored and updated conveniently, and the management efficiency of the material data is improved.
In this embodiment, the material management database includes at least two material levels, and may have three or more material levels. Specifically, the first material level may be a level corresponding to the large classification, and the second material level is lower than the first material level and may be a small classification below the first material level. For example, if the first material class is glue class, the materials that can be included in the second material class corresponding to the class include: quick drying agent, color water, wax and the like, and the management and classification efficiency of the materials is improved by the method.
In step S120, a material image of a material to be processed acquired by a sensor device is acquired, where the material to be processed includes a material to be stored in a warehouse or a material to be taken out of the warehouse.
In one embodiment of the present application, an image of a material to be processed is acquired by a sensor, wherein the sensor device may include a camera, a barcode scanner, and the like, and the material image may include a material information image, a material two-dimensional code image, a barcode image, and the like.
In practical application, materials in a warehouse face two types of application scenes, wherein the first type is to be warehoused, and the second type is to be warehoused. Therefore, the materials to be processed in the embodiment include materials to be stored in a warehouse or materials to be taken out of the warehouse, so that the materials in and out of the warehouse can be conveniently classified and uniformly managed.
Besides, the materials to be processed in the embodiment can also comprise the materials in the warehouse, and the accuracy and the reliability of the material statistics and management are ensured through the statistics and the management of the materials in the warehouse in the embodiment.
In step S130, character features in the material image are extracted.
In one embodiment of the application, the text features in the material image can be extracted and obtained through a text recognition algorithm. The text features in this embodiment may include names of materials, storage modes, manufacturers, production dates, functions, and the like.
In an embodiment of the application, the process of extracting the text features in the material image in step S130 specifically includes:
identifying a text area in the material image;
detecting whether the characters in the character area are complete;
and if the characters are complete, extracting character features in the material image based on a character extraction algorithm.
Specifically, the material image of gathering in this embodiment can be many to material information's statistics improves information acquisition's comprehensiveness.
The embodiment can firstly identify the character area in the material image to detect whether the characters in the character area are complete or not so as to obtain the material image with complete characters through screening. And then carrying out character recognition based on the material image with complete characters to obtain character information corresponding to the material to be processed.
In step S140, based on the text features, matching the text features with names of each material level in the material management database, and determining a target directory of the archive corresponding to the material to be processed.
In an embodiment of the application, matching may be completed in a one-to-one comparison manner with names of material levels in the material management database based on the recognized text features, and a name of a material level most similar to the text features is determined as a target directory to which the material to be processed belongs.
In addition, in this embodiment, the process of matching the text features with the names of the material levels in the material management database in step S140 to determine the archived target catalog corresponding to the material to be processed may further include the following steps S141 to S144:
s14 l: carrying out quantization processing on the character features to obtain a first feature sequence corresponding to the character features;
s142: quantizing the names of all material levels in the material management database to obtain a second characteristic sequence corresponding to the names of all the material levels;
s143: calculating the matching degree between the first characteristic sequence and the second characteristic sequence based on the first characteristic sequence and the second characteristic sequence;
s144: and taking the directory corresponding to the second characteristic sequence with the maximum matching degree as the target directory.
Specifically, in the embodiment of the application, after the character features are extracted, the character features are quantized to obtain a first feature sequence corresponding to the character features; and meanwhile, carrying out quantization processing on the names of all material levels in the material management database to obtain a second characteristic sequence corresponding to the names of all the material levels. In the embodiment, the quantization processing is performed by normalizing the characters according to the set character correspondence, for example, converting the correspondence based on a set character conversion table or the like, and converting the character features or the directory names into a uniform character form, so as to facilitate uniform calculation and improve the calculation accuracy and efficiency.
After the first characteristic sequence and the second characteristic sequence are obtained, the first characteristic sequence and the second characteristic sequence are calculated through the following formula, and the matching degree between the first characteristic sequence and the second characteristic sequence is calculated:
wherein X ═ { X ═ X1，x2，…xi，…xnIs used to denote a first sequence of features, x1，x2，…xi，…xnFor representing feature parameters constituting the first feature sequence; y ═ Y1，y2，…yi，…ynIs used to denote a second sequence of features, y1，y2，…yi，…ynFor representing the characteristic parameters constituting the second characteristic sequence; i is used to denote the number of features, n is used to denote the total number of features, and 1 ≦ i ≦ n.
Further, the material grades in this embodiment may include a first material grade and a second material grade, wherein the grade of the first material grade is higher than the grade of the second material grade. Therefore, in the process of calculating the matching degree, the matching degree between the character features and the names of the first material levels may be calculated first, that is, based on the first material levels in the material management database, the character features and the names of the first material levels are matched, and the first target level corresponding to the character features is determined from the first material levels. And then, matching the name of the second material grade under the first target grade with the character characteristics, and determining an archived target catalog corresponding to the material to be processed from the second material grade under the first target grade. By the aid of the calculation mode, data volume and calculation steps participating in matching calculation can be reduced, and calculation efficiency and matching efficiency are improved.
After the matching degree corresponding to the character characteristics of the material to be processed and the target name is obtained through calculation, the maximum matching degree is determined, and the directory name corresponding to the maximum matching degree is the target directory needing to be filed with the material to be processed. The matching accuracy can be improved and the accuracy of material management is improved by the character matching mode.
In step S150, the material management database is updated from the cloud based on the target directory and the material information of the material to be processed.
In one embodiment of the application, after the target catalog is determined, the material management database is updated from the cloud based on the target catalog and material information of the material to be processed. By the mode, the efficiency and the accuracy of material management are improved, and the material management database can be updated at the second level.
In one embodiment of the present application, in addition to the above process, the following steps S20 to S20 are included:
s210: counting material delivery data in a preset period, wherein the material delivery data comprises delivery material names, single-day delivery frequency and periodic delivery total amount corresponding to each material;
s220: calculating application fork weight coefficients corresponding to the materials based on the material ex-warehouse data;
s230: predicting the material demand quantity in the next time period based on the application fork weight coefficient;
s240: and updating the demand report of the material management database based on the material demand quantity.
Specifically, manage the warehouse-out of the material in this embodiment, through the material warehouse-out data in the statistics preset period, predict and manage the demand of the material to reach scientific material management effect, improve the sustainable development of material management.
The material ex-warehouse data comprises ex-warehouse material names, single-day ex-warehouse frequency, periodic ex-warehouse total amount and the like corresponding to the materials, the use heat of one material can be measured through the data, and then the use heat is fed back to the purchase and warehousing of the materials, so that scientific management of the materials is realized.
In this embodiment, based on the material ex-warehouse data, the application fork weight coefficient corresponding to each material is calculated by the following formula:
calculating the application weight coefficient by the following formula:
Hea_mat＝α·e-Fre_day·log2Del_per
wherein, a represents a preset heat adjusting parameter, Fre _ day is used for representing the single-day ex-warehouse frequency corresponding to the single-day ex-warehouse quantity, Del _ per is used for representing the corresponding periodic ex-warehouse total quantity in the counting period, and one period can be one week, one month or one quarter.
In this embodiment, based on the application fork weight coefficient and the total warehouse-out quantity Num _ a corresponding to all the materials in the preset period, the required quantity of the materials is calculated by the following formula:
Num_ned＝β·Hea_mat·log2Num_a
where β is used to represent a quantity adjustment parameter.
And after the material demand quantity is obtained through calculation, updating a demand report form of the material management database based on the material demand quantity. In this embodiment, through in the time cycle of predetermineeing, the material data to going out of storage is counted, and then predicts the material demand quantity in a certain time cycle to the record is in the demand report form, and the sustainable management and control of material has been improved to material purchase and processing after being convenient for.
In the technical scheme provided by the embodiment of the application, a material management database of a target enterprise is obtained from a cloud, a material image of a material to be processed, which is acquired by a sensor device, is obtained, and character features in the material image are extracted; matching the characters with the names of all material levels in the material management database, and determining a target directory of the material to be processed, which is correspondingly archived; and updating the material management database from a cloud based on the target directory and the material information of the material to be processed. According to the technical scheme of the embodiment of the application, the warehousing materials and the ex-warehouse materials are identified, and the cloud material management database is updated in real time, so that second-level material management and updating can be realized, and the efficiency and the accuracy of material management are greatly improved.
Embodiments of the system of the present application are described below, which can be used to implement the industrial internet-based material management method in the above embodiments of the present application. It will be appreciated that the system may be a computer program (including program code) running on a computer device, for example an application software; the system can be used for executing the corresponding steps in the method provided by the embodiment of the application. For details that are not disclosed in the embodiments of the system of the present application, please refer to the embodiments of the industrial internet-based material management method described above in the present application.
FIG. 2 illustrates a block diagram of an industrial Internet based materials management system, according to one embodiment of the present application.
Referring to fig. 2, an industrial internet-based material management system 200 according to an embodiment of the present application includes:
the obtaining module 210 is configured to obtain a material management database of a target enterprise from a cloud, where the material management database includes at least two material levels;
the acquisition module 220 is configured to acquire a material image of a material to be processed acquired by a sensor device, where the material to be processed includes a material to be stored in a warehouse or a material to be taken out of the warehouse;
an extraction module 230, configured to extract text features in the material image;
a matching module 240, configured to match, based on the text features, names of material levels in the material management database, and determine a target directory of the material to be processed, which is archived correspondingly;
an updating module 250, configured to update the material management database from a cloud based on the target directory and the material information of the material to be processed.
In some embodiments of the present application, based on the foregoing scheme, the matching, based on the text features, the names of the material levels in the material management database to determine the archived target catalog corresponding to the material to be processed includes: carrying out quantization processing on the character features to obtain a first feature sequence corresponding to the character features; quantizing the names of all material levels in the material management database to obtain a second characteristic sequence corresponding to the names of all the material levels; calculating the matching degree between the first characteristic sequence and the second characteristic sequence based on the first characteristic sequence and the second characteristic sequence; and taking the directory corresponding to the second characteristic sequence with the maximum matching degree as the target directory.
In some embodiments of the present application, based on the foregoing solution, the calculating a matching degree between the first feature sequence and the second feature sequence based on the first feature sequence and the second feature sequence includes: calculating the matching degree between the first characteristic sequence and the second characteristic sequence by the following formula:
wherein, Pea is used for representing the matching degree; x ═ X1，x2，…xi，…xnIs used to denote a first sequence of features, x1，x2，…xi，…xnFor representing characteristic parameters constituting said first sequence of characteristics,
a mean value of the characteristic parameters representing the first sequence of characteristics; y ═ Y1，y2，…yi，…ynIs used to denote a second sequence of features, y1，y2，…yi，…ynFor representing the characteristic parameters constituting the second characteristic sequence,
a mean value of the characteristic parameters representing the second characteristic sequence; i is used to denote the number of features, n is used to denote the total number of features, and 1 ≦ i ≦ n.
In some embodiments of the present application, based on the foregoing, the material grades comprise a first material grade and a second material grade, wherein the grade of the first material grade is higher than the second material grade; the matching with the names of the material grades in the material management database based on the character features to determine the target directory of the corresponding files of the materials to be processed comprises the following steps: matching the character features with the names of the first material levels based on the first material levels in the material management database, and determining a first target level corresponding to the character features from the first material levels; and matching the name of the second material grade under the first target grade with the character characteristics, and determining a target directory of the to-be-processed material corresponding to the archive from the second material grade under the first target grade.
In some embodiments of the present application, based on the foregoing scheme, the extracting text features in the material image includes: identifying a text area in the material image; detecting whether the characters in the character area are complete; and if the characters are complete, extracting character features in the material image based on a character extraction algorithm.
In some embodiments of the present application, based on the foregoing solution, the method further comprises: counting material delivery data in a preset period, wherein the material delivery data comprises delivery material names, single-day delivery frequency and periodic delivery total amount corresponding to each material; calculating application fork weight coefficients corresponding to the materials based on the material ex-warehouse data; predicting the material demand quantity in the next time period based on the application fork weight coefficient; and updating the demand report of the material management database based on the material demand quantity.
In some embodiments of the application, based on the foregoing scheme, the calculating, based on the material ex-warehouse data, an application fork weight coefficient corresponding to each material includes: calculating the application weight coefficient by the following formula:
Hea_mat＝α·e-Fre_day·log2Del_per
wherein, a represents a preset heat adjusting parameter, Fre _ day is used for representing the single-day ex-warehouse frequency corresponding to the single-day ex-warehouse quantity, Del _ per is used for representing the corresponding periodic ex-warehouse total quantity in the counting period, and one period can be one week, one month or one quarter.
In some embodiments of the present application, based on the foregoing scheme, the predicting the amount of the material required in the next time period based on the application fork weight coefficient includes: based on the application fork weight coefficient and the total ex-warehouse quantity Num _ a corresponding to all the materials in the preset period, calculating the required quantity of the materials by the following formula:
Num_ned＝β·Hea_mat·log2Num_a
wherein Num _ ned is used for representing the quantity of the material demand; beta is used to denote a quantity adjustment parameter.
It should be noted that the computer readable medium shown in the embodiments of the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM), a flash Memory, an optical fiber, a portable Compact Disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with a computer program embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. The computer program embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. Each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software, or may be implemented by hardware, and the described units may also be disposed in a processor. Wherein the names of the elements do not in some way constitute a limitation on the elements themselves.
According to an aspect of the application, a computer program product or computer program is provided, comprising computer instructions, the computer instructions being stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions to cause the computer device to perform the method provided in the various alternative implementations described above.
As another aspect, the present application also provides a computer-readable medium, which may be contained in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by an electronic device, cause the electronic device to implement the method described in the above embodiments.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the application. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the embodiments of the present application.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the embodiments disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (8)
1. A material management method based on industrial Internet is characterized by comprising the following steps:
the method comprises the steps that a material management database of a target enterprise is obtained from a cloud, wherein the material management database comprises at least two material levels;
acquiring a material image of a material to be processed acquired by sensor equipment, wherein the material to be processed comprises a material to be stored in a warehouse or a material to be taken out of the warehouse;
extracting character features in the material image;
matching the characters with the names of all material levels in the material management database, and determining a target directory of the material to be processed, which is correspondingly archived;
updating the material management database from a cloud based on the target directory and the material information of the material to be processed;
the method further comprises the following steps:
counting material delivery data in a preset period, wherein the material delivery data comprises delivery material names, single-day delivery frequency and periodic delivery total amount corresponding to each material;
calculating application weight coefficients corresponding to the materials based on the material ex-warehouse data;
predicting the material demand quantity of the next time period based on the application weight coefficient;
updating a demand report of the material management database based on the material demand quantity;
based on the material ex-warehouse data, calculating an application weight coefficient corresponding to each material, wherein the application weight coefficient comprises the following steps:
calculating the application weight coefficient by the following formula:
Hea_mat＝α·e-Fre_day·log2Del_per
wherein, a represents a preset heat adjusting parameter, Fre _ day is used for representing the single-day ex-warehouse frequency corresponding to the single-day ex-warehouse quantity, and Del _ per is used for representing the corresponding cycle ex-warehouse total quantity in the counting cycle.
2. The method of claim 1, wherein matching the literal features with names of material levels in the material management database to determine an archived target catalog corresponding to the material to be processed comprises:
carrying out quantization processing on the character features to obtain a first feature sequence corresponding to the character features;
quantizing the names of all material levels in the material management database to obtain a second characteristic sequence corresponding to the names of all the material levels;
calculating the matching degree between the first characteristic sequence and the second characteristic sequence based on the first characteristic sequence and the second characteristic sequence;
and taking the directory corresponding to the second characteristic sequence with the maximum matching degree as the target directory.
3. The method of claim 2, wherein calculating the degree of match between the first and second feature sequences based on the first and second feature sequences comprises:
calculating the matching degree between the first characteristic sequence and the second characteristic sequence by the following formula:
wherein X ═ { X ═ X1,x2,…xi,…xnIs used to denote a first sequence of features, x1,x2,…xi,…xnFor representing feature parameters constituting the first feature sequence; y ═ Y1,y2,…yi,…ynIs used to denote a second sequence of features, y1,y2,…yi,…ynFor representing the characteristic parameters constituting the second characteristic sequence; i is used to denote the number of features, n is used to denote the total number of features, and 1 ≦ i ≦ n.
4. The method of claim 2, wherein the material grades comprise a first material grade and a second material grade, wherein the grade of the first material grade is higher than the second material grade;
based on the character features, matching with the names of all material levels in the material management database, and determining a target directory of the to-be-processed material corresponding to files, wherein the target directory comprises:
matching the character features with the names of the first material levels based on the first material levels in the material management database, and determining a first target level corresponding to the character features from the first material levels;
and matching the name of the second material grade under the first target grade with the character characteristics, and determining a target directory of the to-be-processed material corresponding to the archive from the second material grade under the first target grade.
5. The method of claim 1, wherein extracting textual features in the material image comprises:
identifying a text area in the material image;
detecting whether the characters in the character area are complete;
and if the characters are complete, extracting character features in the material image based on a character extraction algorithm.
6. The method of claim 1, wherein predicting the amount of material required for the next time period based on the applied weight coefficients comprises:
based on the application weight coefficient and the total ex-warehouse quantity Num _ a corresponding to all the materials in the preset period, calculating the material demand quantity by the following formula:
Num_ned＝β·Hea_mat·log2Num_a
where β is used to represent a quantity adjustment parameter.
7. A material management system based on industrial Internet is characterized by comprising:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring a material management database of a target enterprise from a cloud, and the material management database comprises at least two material levels;
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring material images of materials to be processed acquired by sensor equipment, and the materials to be processed comprise materials to be stored in or materials to be discharged from the storage;
the extraction module is used for extracting character features in the material image;
the matching module is used for matching the names of all material levels in the material management database based on the character characteristics and determining a target directory of the material to be processed, which is correspondingly archived;
the updating module is used for updating the material management database from a cloud side based on the target directory and the material information of the material to be processed;
the industrial internet-based material management system is further used for:
counting material delivery data in a preset period, wherein the material delivery data comprises delivery material names, single-day delivery frequency and periodic delivery total amount corresponding to each material;
calculating application weight coefficients corresponding to the materials based on the material ex-warehouse data;
predicting the material demand quantity of the next time period based on the application weight coefficient;
updating a demand report of the material management database based on the material demand quantity;
based on the material ex-warehouse data, calculating an application weight coefficient corresponding to each material, wherein the application weight coefficient comprises the following steps:
calculating the application weight coefficient by the following formula:
Hea_mat＝α·e-Fre_day·log2Del_per
wherein, a represents a preset heat adjusting parameter, Fre _ day is used for representing the single-day ex-warehouse frequency corresponding to the single-day ex-warehouse quantity, and Del _ per is used for representing the corresponding cycle ex-warehouse total quantity in the counting cycle.
8. A computer-readable storage medium on which a computer program is stored, the computer program, when being executed by a processor, implementing the industrial internet-based material management method according to any one of claims 1 to 6.
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