Automated distribution control method, device and system based on Internet of Things
Through the automated distribution control method based on the Internet of Things, the automatic distribution and management of goods is achieved using viscosity coefficients and RFID tags, which solves the problems of low efficiency and insufficient accuracy of existing warehouse management methods, and improves the efficiency and accuracy of goods allocation and storage management.
Patent Information
- Application Number
- CN202210597652.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-05-30
- Publication Date
- 2025-03-07
- Estimated Expiration
- 2042-05-30
AI Technical Summary
The existing warehouse management methods rely on manual operations, are inefficient and error-prone, and lack effective cargo location allocation and management solutions, resulting in insufficient efficiency and accuracy of cargo allocation and storage management.
The automated distribution control method based on the Internet of Things is adopted to obtain historical order information, calculate the viscosity coefficient of the goods, and control the goods to enter the corresponding storage location based on the RFID tag to achieve automated distribution and management.
It improves the accuracy and efficiency of goods allocation and storage location, reduces manual operation errors, and improves the efficiency and accuracy of warehouse item control.
Smart Images

Figure CN115081574B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of automatic distribution technology, and in particular to an automatic distribution control method, device and system based on the Internet of Things. Background Art
[0002] RFID (Radio Frequency Identification), also known as wireless radio frequency identification, is a communication technology that can identify specific targets and read and write related data through radio signals without establishing mechanical or optical contact between the identification system and the specific target. Due to the excellent performance of this communication technology, it has been widely used in various scenarios, including logistics management.
[0003] With the continuous development of enterprise scale, the types and quantities of materials managed by warehouses are increasing, the frequency of in-and-out warehouses is increasing, and warehouse management operations have become very complex and diversified. The current warehouse management method is mainly to configure operators to manually hold RFID terminal devices to take inventory of warehouse materials, which has the defects of low efficiency and easy errors; in addition, there is no clear plan for the allocation and management of the location of goods in the warehouse, especially for items with certain supporting connections, which completely rely on the method of human allocation and management, which requires a lot of manpower. It can be seen that it is particularly important to provide a method to improve the efficiency and accuracy of warehouse item control. Summary of the invention
[0004] The technical problem to be solved by the present invention is to provide an automated distribution control method and device based on the Internet of Things, which can automatically allocate corresponding storage locations according to the product information configuration, thereby improving the distribution efficiency of the products and the management and control efficiency and accuracy after the storage locations are allocated.
[0005] In order to solve the above technical problems, the first aspect of the present invention discloses an automatic distribution control method based on the Internet of Things, the method comprising:
[0006] Acquire first order information including a first product, second order information including a second product, and third order information including both the first product and the second product within a historical predetermined time period;
[0007] Determine the viscosity coefficients of the first product and the second product according to the first order information, the second order information, and the third order information in combination with a predetermined rule; the first product and the second product both have RFID tags;
[0008] According to the viscosity coefficients of the first commodity and the second commodity, the storage location coordinates of the first commodity and the second commodity are determined, and entry into corresponding storage locations is controlled based on scanning the RFID tag.
[0009] As an optional implementation, in the first aspect of the present invention, the first order information and the second order information both include order quantity, order number and product content; the determining the viscosity coefficients of the first product and the second product according to the first order information, the second order information and the third order information in combination with a predetermined rule includes:
[0010] Calculating a ratio of the order quantity corresponding to the first order information to the order quantity corresponding to the third order information to obtain a plurality of corresponding first viscosity coefficients;
[0011] Calculating a ratio of the order quantity corresponding to the second order information to the order quantity corresponding to the third order information to obtain a plurality of corresponding second viscosity coefficients;
[0012] The average value of all the first viscosity coefficients is calculated as the viscosity coefficient of the first product, and the average value of all the second viscosity coefficients is calculated as the viscosity coefficient of the second product.
[0013] As an optional implementation, in the first aspect of the present invention, determining the storage location coordinates of the first product and the second product according to the viscosity coefficients of the first product and the second product includes:
[0014] Determine the goods to be allocated storage locations and the available storage location coordinate information in the current warehouse, generate the available storage set P; establish the cost function W between the goods:
[0015]
[0016] Among them, x j ,y j x represents the storage location coordinates to be allocated for the first product; k ,y k R represents the storage location coordinates to be allocated for the second product; jk represents the viscosity coefficient of the first product or the viscosity coefficient of the second product; wherein (x j ,y j )、(x k ,y k )∈P.
[0017] As an optional embodiment, in the first aspect of the present invention, R jkAfter substituting the viscosity coefficients of the first commodity and the second commodity respectively, by solving the cost function W and determining when the cost function W takes the minimum value, the storage location coordinate information corresponding to the first commodity and the second commodity is obtained as the storage location coordinates for the final allocation of the first commodity and the second commodity.
[0018] As an optional implementation, in the first aspect of the present invention, the controlling access to the corresponding storage location based on scanning the RFID tag includes:
[0019] Importing the information of the items to be stored into the RFID reading and writing device in advance to obtain the import information corresponding to each of the items to be stored, wherein the import information corresponding to each of the items to be stored includes the pre-imported quantity of the items corresponding to each of the items to be stored;
[0020] Scan the RFID tag, and compare the tag information corresponding to the scanned RFID tag with all the imported information to obtain a corresponding comparison result;
[0021] Determine whether the comparison result indicates that the actual quantity of items in the tag information is consistent with the pre-imported quantity corresponding to the RFID tag. When the judgment result is no, stop the warehousing operation for the items corresponding to the RFID tag and prompt the user.
[0022] The second aspect of the present invention discloses an automatic distribution control device based on the Internet of Things, the device comprising:
[0023] An acquisition module, used to acquire first order information including a first product, second order information including a second product, and third order information including both the first product and the second product within a historical predetermined time period;
[0024] A determination module, used to determine the viscosity coefficients of the first product and the second product according to the first order information, the second order information, and the third order information in combination with a predetermined rule; the first product and the second product have RFID tags;
[0025] The coordination control module is used to determine the storage location coordinates of the first commodity and the second commodity according to the viscosity coefficients of the first commodity and the second commodity, and control entry into corresponding storage locations based on scanning the RFID tag.
[0026] As an optional implementation, in the second aspect of the present invention, the first order information and the second order information both include order quantity, order number and product content; the determination module determines the viscosity coefficients of the first product and the second product according to the first order information and the second order information in combination with a predetermined rule, specifically including:
[0027] Calculating a ratio of the order quantity corresponding to the first order information to the order quantity corresponding to the third order information to obtain a plurality of corresponding first viscosity coefficients;
[0028] Calculating a ratio of the order quantity corresponding to the second order information to the order quantity corresponding to the third order information to obtain a plurality of corresponding second viscosity coefficients;
[0029] The average value of all the first viscosity coefficients is calculated as the viscosity coefficient of the first product, and the average value of all the second viscosity coefficients is calculated as the viscosity coefficient of the second product.
[0030] As an optional implementation, in the second aspect of the present invention, the coordination control module determines the storage location coordinates of the first product and the second product according to the viscosity coefficients of the first product and the second product in a manner that specifically includes:
[0031] Determine the goods to be allocated storage locations and the available storage location coordinate information in the current warehouse, generate the available storage set P; establish the cost function W between the goods:
[0032]
[0033] Among them, x j ,y j x represents the storage location coordinates to be allocated for the first product; k ,y k R represents the storage location coordinates to be allocated for the second product; jk represents the viscosity coefficient of the first product or the viscosity coefficient of the second product; wherein (x j ,y j )、(x k ,y k )∈P.
[0034] As an optional embodiment, in the second aspect of the present invention, R jk After substituting the viscosity coefficients of the first commodity and the second commodity respectively, by solving the cost function W and determining when the cost function W takes the minimum value, the storage location coordinate information corresponding to the first commodity and the second commodity is obtained as the storage location coordinates for finally allocating the first commodity and the second commodity.
[0035] As an optional implementation, in the second aspect of the present invention, the coordination control module controls access to the corresponding storage location based on scanning the RFID tag, specifically including:
[0036] Importing the information of the items to be stored into the RFID reading and writing device in advance to obtain the import information corresponding to each of the items to be stored, wherein the import information corresponding to each of the items to be stored includes the pre-imported quantity of the items corresponding to each of the items to be stored;
[0037] Scanning the RFID tag, comparing the tag information corresponding to the scanned RFID tag with all the imported information to obtain a corresponding comparison result;
[0038] Determine whether the comparison result indicates that the actual quantity of items in the tag information is consistent with the pre-imported quantity corresponding to the RFID tag. When the judgment result is no, stop the warehousing operation for the items corresponding to the RFID tag and prompt the user.
[0039] The third aspect of the present invention discloses another automatic distribution control device based on the Internet of Things, the device comprising:
[0040] A memory storing executable program code;
[0041] a processor coupled to the memory;
[0042] The processor calls the executable program code stored in the memory to execute the automatic distribution control method based on the Internet of Things disclosed in the first aspect of the present invention.
[0043] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the automatic distribution control method based on the Internet of Things disclosed in the first aspect of the present invention.
[0044] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:
[0045] In an embodiment of the present invention, an automatic distribution control method based on the Internet of Things is provided, the method comprising: obtaining first order information including a first product, second order information including a second product, and third order information including both the first product and the second product within a historical predetermined time period; determining the viscosity coefficients of the first product and the second product according to the first order information, the second order information, and the third order information in combination with a predetermined rule; the first product and the second product both have RFID tags; determining the storage location coordinates of the first product and the second product according to the viscosity coefficients of the first product and the second product, and controlling access to the corresponding storage location based on scanning the RFID tag. It can be seen that the implementation of the present invention can automatically obtain the order information of different products required, and determine the viscosity coefficient corresponding to each product according to the order information, thereby determining the storage location coordinates of the shipment, so as to accurately allocate each product to the corresponding storage location, which is conducive to improving the allocation accuracy of the storage location of the product, and then the accurate allocation of the storage location of the product is conducive to improving the control efficiency of the subsequent control of the product. BRIEF DESCRIPTION OF THE DRAWINGS
[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0047] Figure 1 It is a flow chart of an automatic distribution control method based on the Internet of Things disclosed in an embodiment of the present invention;
[0048] Figure 2 It is a flow chart of another automatic distribution control method based on the Internet of Things disclosed in an embodiment of the present invention;
[0049] Figure 3 It is a structural schematic diagram of an automatic distribution control device based on the Internet of Things disclosed in an embodiment of the present invention;
[0050] Figure 4 It is a structural schematic diagram of another automatic distribution control device based on the Internet of Things disclosed in an embodiment of the present invention. DETAILED DESCRIPTION
[0051] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0052] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.
[0053] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.
[0054] The present invention discloses an automated allocation control method, device and system based on the Internet of Things, which can automatically obtain the order information of different goods required, and determine the viscosity coefficient corresponding to each product according to the order information, so as to determine the storage location coordinates of the shipment, so as to accurately allocate each product to the corresponding storage location, which is conducive to improving the allocation accuracy of the storage location of the goods, and then the accurate allocation of the storage location of the goods is conducive to improving the control efficiency of the subsequent control of the goods. The following is a detailed description.
[0055] Embodiment 1
[0056] See also Figure 1 , Figure 1 : is a flow chart of an automatic distribution control method based on the Internet of Things disclosed in an embodiment of the present invention. Figure 1 The described automatic distribution control method based on the Internet of Things can be applied to an automatic distribution control device based on the Internet of Things, and can also be applied to an automatic distribution control system based on the Internet of Things, which is not limited in the embodiments of the present invention. Figure 1 As shown, the automatic distribution control method based on the Internet of Things may include the following operations:
[0057] 101. Obtain first order information including a first product, second order information including a second product, and third order information including both the first product and the second product within a historical predetermined time period.
[0058] In the embodiment of the present invention, the historical scheduled time period may be within one month or two months. Furthermore, when the frequency of goods purchase and shipment is high and the goods transportation is at a peak period, the historical scheduled time period may also be one week, two weeks, etc., which is not limited in the embodiment of the present invention.
[0059] 102. Determine the viscosity coefficients of the first product and the second product according to the first order information, the second order information, and the third order information in combination with a predetermined rule.
[0060] In an embodiment of the present invention, both the first commodity and the second commodity have RFID tags, wherein the RFID tag on each commodity corresponds to the commodity information recorded therein, and the commodity information includes the commodity type, quantity, storage location, etc. of the commodity, which is not limited in the embodiment of the present invention.
[0061] In the embodiment of the present invention, the first order information and the second order information both include the order quantity, order number and product content; the method of determining the viscosity coefficients of the first product and the second product according to the first order information, the second order information and the third order information in combination with a predetermined rule in step 102 specifically includes:
[0062] Calculating a ratio of an order quantity corresponding to the first order information to an order quantity corresponding to the third order information to obtain a plurality of corresponding first viscosity coefficients;
[0063] Calculating a ratio of the order quantity corresponding to the second order information to the order quantity corresponding to the third order information to obtain a plurality of corresponding second viscosity coefficients;
[0064] The average of all first viscosity coefficients is calculated as the viscosity coefficient of the first product, and the average of all second viscosity coefficients is calculated as the viscosity coefficient of the second product.
[0065] 103. Determine storage location coordinates of the first product and the second product according to the viscosity coefficients of the first product and the second product, and control entry into corresponding storage locations based on scanning RFID tags.
[0066] In the embodiment of the present invention, the method of determining the storage location coordinates of the first product and the second product according to the viscosity coefficients of the first product and the second product in step 103 specifically includes:
[0067] Determine the goods to be allocated storage locations and the available storage location coordinate information in the current warehouse, generate the available storage set P; establish the cost function W between the goods:
[0068]
[0069] Among them, x j ,y j x represents the storage location coordinates to be allocated for the first product; k ,y k R represents the storage location coordinates to be allocated for the second product; jk represents the viscosity coefficient of the first product or the viscosity coefficient of the second product; wherein (x j ,y j )、(x k ,y k )∈P.
[0070] Furthermore, R jk After substituting the viscosity coefficients of the first product and the second product respectively, by solving the above cost function W and determining when the cost function W takes the minimum value, the storage location coordinate information corresponding to the first product and the second product is obtained as the final storage location coordinates of the first product and the second product.
[0071] In the embodiments of the present invention, it should be noted that, in specific applications, available storage location coordinate information in the current warehouse can be obtained to generate an available storage set P, and according to the cost function W between the constructed goods, the storage location coordinates to be allocated are selected from the available storage set P to the cost function, and the storage location coordinate information corresponding to the minimum cost function W is selected and judged therefrom, and the storage location coordinate information corresponding to the minimum cost function W is determined as the storage location coordinates for the final allocation of the first and second goods.
[0072] It can be seen that implementation Figure 1 The described automated allocation control method based on the Internet of Things can automatically obtain the order information of different required goods, and determine the viscosity coefficient corresponding to each product based on the order information, thereby determining the storage location coordinates of the corresponding goods, so as to accurately allocate each product to the corresponding storage location, which is conducive to improving the accuracy of allocation of goods storage locations, and then accurate allocation of goods storage locations is conducive to improving the efficiency of subsequent control of goods.
[0073] Embodiment 2
[0074] See also Figure 2 , Figure 2 is a flow chart of another automatic distribution control method based on the Internet of Things disclosed in an embodiment of the present invention. Figure 2 The described method for automatic distribution control based on the Internet of Things can be applied to automatic distribution control based on the Internet of Things, and can also be applied to automatic distribution control based on the Internet of Things, which is not limited in the embodiments of the present invention. Figure 2 As shown, the automatic distribution control method based on the Internet of Things may include the following operations:
[0075] 201. Obtain first order information including a first product, second order information including a second product, and third order information including both the first product and the second product within a historical predetermined time period.
[0076] 202. Determine the viscosity coefficients of the first product and the second product according to the first order information, the second order information, and the third order information in combination with a predetermined rule.
[0077] 203. Determine storage location coordinates of the first product and the second product according to the viscosity coefficients of the first product and the second product.
[0078] In the embodiment of the present invention, for other descriptions of step 201 to step 203, please refer to other specific descriptions of step 101 to step 103 in embodiment 1, and the embodiment of the present invention will not be repeated here.
[0079] 204. Import the information of the items to be stored into the RFID reading and writing device in advance to obtain the import information corresponding to each item to be stored.
[0080] In the embodiment of the present invention, the import information corresponding to each item to be stored includes the pre-import quantity of items corresponding to each item to be stored.
[0081] 205. Scan the RFID tag, compare the tag information corresponding to the scanned RFID tag with all the imported information, and obtain a corresponding comparison result.
[0082] 206. Determine whether the comparison result indicates that the actual quantity of the items in the tag information is consistent with the pre-imported quantity corresponding to the RFID tag. When the determination result is no, stop the warehousing operation for the items corresponding to the RFID tag and prompt the user.
[0083] In the embodiment of the present invention, when the judgment result is yes, the warehousing operation for the item corresponding to the RFID tag is continued.
[0084] It can be seen that implementation Figure 2The described automated allocation control method based on the Internet of Things can automatically obtain the order information of different goods required, and determine the viscosity coefficient corresponding to each product based on the order information, thereby determining the storage location coordinates of the corresponding goods, so as to accurately allocate each product to the corresponding storage location, which is conducive to improving the allocation accuracy of the storage locations of goods, and then the accurate allocation of storage locations of goods is conducive to improving the efficiency of subsequent management and control of goods; it can also verify the actual imported goods through the predetermined pre-import quantity when the goods are put into storage, reduce the situation where the goods storage operation continues despite the error in the quantity of goods, and help improve the accuracy of the imported goods information and improve the efficiency of detecting errors in the quantity of goods.
[0085] In an optional embodiment, when it is determined that the comparison result indicates that the actual quantity of the items in the tag information does not match the pre-imported quantity corresponding to the RFID tag, and after stopping the warehousing operation for the items corresponding to the RFID tag, the method further includes:
[0086] Detecting the information update status corresponding to all the imported information, and determining whether the information update status indicates that the imported information of the item corresponding to the RFID tag has been updated, and when the determination result is no, generating an error report for the item corresponding to the RFID tag, and providing the error report to a person responsible for processing the error report;
[0087] When the judgment result is yes, the pre-import quantity corresponding to the item corresponding to the RFID tag is updated, and after determining that the updated pre-import quantity matches the actual quantity of the item corresponding to the RFID tag, the warehousing operation for the item corresponding to the RFID tag is continued.
[0088] It can be seen that in this optional embodiment, when it is determined that the actual warehouse quantity of a certain product does not match the pre-imported quantity, it can automatically detect whether the pre-imported quantity in the database has been updated, thereby reducing the situation where the actual quantity of goods changes due to temporary additions or calls to a certain product, and the actual quantity of goods put into the warehouse is inconsistent with the pre-imported quantity due to failure to update the pre-imported quantity in time. A processing solution for dealing with temporary goods calls is provided, which improves the accuracy and reliability of goods entry.
[0089] Embodiment 3
[0090] See also Figure 3 , Figure 3It is a structural diagram of an automatic allocation control device based on the Internet of Things disclosed in an embodiment of the present invention. Among them, the automatic allocation control device based on the Internet of Things can be an automatic allocation control terminal, device, system or server based on the Internet of Things; for example, the developer of the automatic allocation control terminal device based on the Internet of Things can preset the corresponding function plug-in in the operating system of the terminal device to detect and collect the user's login verification history data, and then transmit it to the corresponding server, and then the server sends a verification request signal to the target server for this login with which a cooperative relationship has been established; in addition, the automatic allocation control server based on the Internet of Things can be a local server, a remote server, or a cloud server (also called a cloud server). When the automatic allocation control server based on the Internet of Things is a non-cloud server, the non-cloud server can communicate with the cloud server, which is not limited by the embodiment of the present invention. Figure 3 As shown, the automatic distribution control device based on the Internet of Things may include an acquisition module 301, a determination module 302 and a coordination control module 303, wherein:
[0091] The acquisition module 301 is used to acquire first order information including a first product, second order information including a second product, and third order information including both the first product and the second product within a historical predetermined time period.
[0092] The determination module 302 is used to determine the viscosity coefficients of the first product and the second product according to the first order information, the second order information, and the third order information in combination with a predetermined rule; the first product and the second product have RFID tags.
[0093] The coordination control module 303 is used to determine the storage location coordinates of the first product and the second product according to the viscosity coefficients of the first product and the second product, and control entry into corresponding storage locations based on scanning RFID tags.
[0094] In an optional embodiment, the first order information and the second order information both include order quantity, order number and product content; the determination module 302 determines the viscosity coefficients of the first product and the second product according to the first order information and the second order information in combination with a predetermined rule, specifically including:
[0095] Calculating a ratio of an order quantity corresponding to the first order information to an order quantity corresponding to the third order information to obtain a plurality of corresponding first viscosity coefficients;
[0096] Calculating a ratio of the order quantity corresponding to the second order information to the order quantity corresponding to the third order information to obtain a plurality of corresponding second viscosity coefficients;
[0097] The average of all first viscosity coefficients is calculated as the viscosity coefficient of the first product, and the average of all second viscosity coefficients is calculated as the viscosity coefficient of the second product.
[0098] Optionally, the coordination control module 303 determines the storage location coordinates of the first product and the second product according to the viscosity coefficients of the first product and the second product in the following manner:
[0099] Determine the goods to be allocated storage locations and the available storage location coordinate information in the current warehouse, generate the available storage set P; establish the cost function W between the goods:
[0100]
[0101] Among them, x j ,y j x represents the storage location coordinates to be allocated for the first product; k ,y k R represents the storage location coordinates to be allocated for the second product; jk represents the viscosity coefficient of the first product or the viscosity coefficient of the second product; wherein (x j ,y j )、(x k ,y k )∈P.
[0102] In this optional embodiment, further, R jk After substituting the viscosity coefficients of the first product and the second product respectively, by solving the cost function W and determining when the cost function W takes the minimum value, the storage location coordinate information corresponding to the first product and the second product is obtained as the final storage location coordinates for the first product and the second product.
[0103] It can be seen that implementation Figure 3 The described automatic distribution control device based on the Internet of Things can automatically obtain the order information of different goods required, and determine the viscosity coefficient corresponding to each product according to the order information, thereby determining the storage location coordinates of the corresponding goods, so as to accurately distribute each product to the corresponding storage location, which is conducive to improving the accuracy of the distribution of goods storage locations. Furthermore, accurately allocated goods storage locations are conducive to improving the efficiency of subsequent control of goods.
[0104] In yet another optional embodiment, the manner in which the coordination control module 303 controls access to the corresponding storage location based on scanning the RFID tag specifically includes:
[0105] Import the information of the items to be stored into the RFID reading and writing device in advance to obtain the import information corresponding to each item to be stored, and the import information corresponding to each item to be stored includes the pre-imported quantity of the items corresponding to each item to be stored;
[0106] Scan the RFID tag, compare the tag information corresponding to the scanned RFID tag with all the imported information, and obtain the corresponding comparison result;
[0107] It is determined whether the comparison result indicates that the actual quantity of the items in the tag information is consistent with the pre-imported quantity corresponding to the RFID tag. When the determination result is no, the warehousing operation for the items corresponding to the RFID tag is stopped and the user is prompted.
[0108] It can be seen that in this optional embodiment, when goods are put into storage, the actually imported goods can be verified by using the predetermined pre-import quantity, thereby reducing the situation where the goods storage operation continues despite the incorrect goods quantity, which is beneficial to improving the accuracy of the imported goods information and improving the efficiency of detecting errors in the goods quantity.
[0109] Embodiment 4
[0110] See also Figure 4 , Figure 4 Schematic diagram of another automatic distribution control device based on the Internet of Things disclosed in an embodiment of the present invention. Figure 4 As shown, the automatic distribution control device based on the Internet of Things may include:
[0111] A memory 401 storing executable program codes;
[0112] a processor 402 coupled to the memory 401;
[0113] The processor 402 calls the executable program code stored in the memory 401 to execute the steps of the automatic distribution control method based on the Internet of Things described in the first embodiment of the present invention or the second embodiment of the present invention.
[0114] Embodiment 5
[0115] An embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps in the automatic distribution control method based on the Internet of Things described in Embodiment 1 or Embodiment 2 of the present invention.
[0116] Embodiment 6
[0117] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps in the automated distribution control method based on the Internet of Things described in Embodiment 1 or Embodiment 2.
[0118] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.
[0119] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or partly contributed to the prior art in the form of a software product, and the computer software product can be stored in a computer storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.
[0120] Finally, it should be noted that the method and device for automatic distribution control based on the Internet of Things disclosed in the embodiment of the present invention only discloses the preferred embodiment of the present invention, which is only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.
Claims
1. An automated distribution control method based on the Internet of Things, characterized in that: The method comprises: Acquire first order information including a first product, second order information including a second product, and third order information including both the first product and the second product within a historical predetermined time period; Determine the viscosity coefficients of the first product and the second product according to the first order information, the second order information, and the third order information in combination with a predetermined rule; the first product and the second product both have RFID tags; Determine storage location coordinates of the first commodity and the second commodity according to the viscosity coefficients of the first commodity and the second commodity, and control entry into corresponding storage locations based on scanning the RFID tag; The first order information and the second order information both include order quantity, order number and product content; the viscosity coefficients of the first product and the second product are determined according to the first order information, the second order information and the third order information in combination with a predetermined rule, including: Calculating a ratio of the order quantity corresponding to the first order information to the order quantity corresponding to the third order information to obtain a plurality of corresponding first viscosity coefficients; Calculating a ratio of the order quantity corresponding to the second order information to the order quantity corresponding to the third order information to obtain a plurality of corresponding second viscosity coefficients; Calculating an average value of all the first viscosity coefficients as the viscosity coefficient of the first product, and calculating an average value of all the second viscosity coefficients as the viscosity coefficient of the second product; The step of determining the storage location coordinates of the first product and the second product according to the viscosity coefficients of the first product and the second product comprises: Determine the goods to be allocated storage locations and the available storage location coordinate information in the current warehouse, generate the available storage set P; establish the cost function W between the goods: Among them, x j ,y j x represents the storage location coordinates to be allocated for the first product; k ,y k R represents the storage location coordinates to be allocated for the second product; jk represents the viscosity coefficient of the first product or the viscosity coefficient of the second product; wherein (x j ,y j ), (x k ,y k )∈P; R jk After substituting the viscosity coefficients of the first commodity and the second commodity respectively, by solving the cost function W and determining when the cost function W takes the minimum value, the storage location coordinate information corresponding to the first commodity and the second commodity is obtained as the storage location coordinates for the final allocation of the first commodity and the second commodity.
2. The method for automatic distribution control based on the Internet of Things according to claim 1 is characterized in that: The controlling access to the corresponding storage location based on scanning the RFID tag includes: Importing the information of the items to be stored into the RFID reading and writing device in advance to obtain the import information corresponding to each of the items to be stored, wherein the import information corresponding to each of the items to be stored includes the pre-imported quantity of the items corresponding to each of the items to be stored; Scanning the RFID tag, comparing the tag information corresponding to the scanned RFID tag with all the imported information to obtain a corresponding comparison result; Determine whether the comparison result indicates that the actual quantity of items in the tag information is consistent with the pre-imported quantity corresponding to the RFID tag. When the judgment result is no, stop the warehousing operation for the items corresponding to the RFID tag and prompt the user.
3. An automatic distribution control device based on the Internet of Things, characterized in that: The device comprises: An acquisition module, used to acquire first order information including a first product, second order information including a second product, and third order information including both the first product and the second product within a historical predetermined time period; A determination module, used to determine the viscosity coefficients of the first product and the second product according to the first order information, the second order information, and the third order information in combination with a predetermined rule; the first product and the second product have RFID tags; A coordination control module, used to determine the storage location coordinates of the first commodity and the second commodity according to the viscosity coefficients of the first commodity and the second commodity, and control entry into corresponding storage locations based on scanning the RFID tag; The first order information and the second order information both include order quantity, order number and product content; the determination module determines the viscosity coefficients of the first product and the second product according to the first order information and the second order information in combination with a predetermined rule in a manner that specifically includes: Calculating a ratio of the order quantity corresponding to the first order information to the order quantity corresponding to the third order information to obtain a plurality of corresponding first viscosity coefficients; Calculating a ratio of the order quantity corresponding to the second order information to the order quantity corresponding to the third order information to obtain a plurality of corresponding second viscosity coefficients; Calculating an average value of all the first viscosity coefficients as the viscosity coefficient of the first product, and calculating an average value of all the second viscosity coefficients as the viscosity coefficient of the second product; The method in which the coordination control module determines the storage location coordinates of the first commodity and the second commodity according to the viscosity coefficients of the first commodity and the second commodity specifically includes: Determine the goods to be allocated storage locations and the available storage location coordinate information in the current warehouse, generate the available storage set P; establish the cost function W between the goods: Among them, x j ,y j x represents the storage location coordinates to be allocated for the first product; k ,y k R represents the storage location coordinates to be allocated for the second product; jk represents the viscosity coefficient of the first product or the viscosity coefficient of the second product; wherein (x j ,y j ), (x k ,y k )∈P; R jk After substituting the viscosity coefficients of the first commodity and the second commodity respectively, by solving the cost function W and determining when the cost function W takes the minimum value, the storage location coordinate information corresponding to the first commodity and the second commodity is obtained as the storage location coordinates for finally allocating the first commodity and the second commodity.
4. The automatic distribution control device based on the Internet of Things according to claim 3 is characterized in that: The manner in which the coordination control module controls access to the corresponding storage location based on scanning the RFID tag specifically includes: Importing the information of the items to be stored into the RFID reading and writing device in advance to obtain the import information corresponding to each of the items to be stored, wherein the import information corresponding to each of the items to be stored includes the pre-imported quantity of the items corresponding to each of the items to be stored; Scanning the RFID tag, comparing the tag information corresponding to the scanned RFID tag with all the imported information to obtain a corresponding comparison result; Determine whether the comparison result indicates that the actual quantity of items in the tag information is consistent with the pre-imported quantity corresponding to the RFID tag. When the judgment result is no, stop the warehousing operation for the items corresponding to the RFID tag and prompt the user.
Citation Information
Patent Citations
Method for optimizing and screening storage locations of intelligent categorized storage system in electronic commerce
CN102663571A
Warehouse management system and method for logistics based on Internet of Things
CN111967824A