CN116342036B - Full-automatic warehouse operation control method and system for WMS - Google Patents
Full-automatic warehouse operation control method and system for WMS Download PDFInfo
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Abstract
The application relates to the technical field of warehouse operation control, and provides a full-automatic warehouse operation control method and system for WMS. The method comprises the following steps: the method comprises the steps of carrying out parameter input, transmission interaction and warehousing on basic attribute parameters of materials through a wireless data collector to obtain inventory information of material warehouse, and further constructing a material warehouse database; product assembly analysis is carried out on the information of the warehouse production work order, and the demand information of the product production materials is obtained; carrying out priority analysis on a material warehouse database based on the product production material demand information, and determining material priority ex-warehouse ordering information; and determining the coordinates of the warehouse discharging points of the warehouse materials according to the material priority warehouse discharging sorting information, fitting to generate a material scheduling route, and adding the production materials into a production line based on the material scheduling route for assembly control management. By adopting the method, the automatic management of warehouse operation control can be realized, the real-time accuracy of warehouse management and control is improved, and the technical effect of warehouse management efficiency is further ensured.
Description
Technical Field
The application relates to the technical field of warehouse operation control, in particular to a full-automatic warehouse operation control method and system for WMS.
Background
The WMS warehouse management system is used for supporting enterprise warehouse full-line operation, and comprises goods receiving processing, shelf management, goods picking operation, platform management, goods replenishment management, in-warehouse operation, circulation inventory and the like. Therefore, the full-automatic operation control of the warehouse plays a vital role in the field of electronic product production and the like.
However, the prior art has the technical problems that the product delivery assembly link is not considered, the warehouse management accuracy is low, and the warehouse management efficiency is further reduced.
Disclosure of Invention
Based on the above, it is necessary to provide a full-automatic warehouse operation control method and system for WMs, which can realize the automatic management of warehouse operation control, improve the real-time accuracy of warehouse management and control, and further ensure the warehouse management efficiency.
A full-automatic warehouse operation control method for WMSs, said method comprising: identifying and acquiring basic material attribute parameters by using an RFID technology, wherein the basic material attribute parameters comprise material types, material specifications, material production information and material quantity; carrying out parameter input, transmission interaction and warehousing on the basic attribute parameters of the materials through a wireless data collector to obtain material warehousing inventory information; constructing a material storage database according to the material storage inventory information; acquiring warehouse production work order information, and carrying out product assembly analysis on the warehouse production work order information to acquire product production material demand information; optimizing the material warehouse database based on the product production material demand information, and determining material dispatching warehouse-out optimization information; determining the spatial position of a warehouse-out point of the warehouse material according to the material dispatching warehouse-out optimization information; and fitting to generate a material scheduling route based on the spatial position of the warehouse material warehouse outlet point, and adding production materials into an SMT production line and a plug-in assembly production line through an AGV robot based on the material scheduling route to carry out assembly control management.
A fully automated warehouse operations control system for WMSs, said system comprising: the material attribute parameter obtaining module is used for identifying and obtaining material basic attribute parameters by using an RFID technology, wherein the material basic attribute parameters comprise material types, material specifications, material production information and material quantity; the storage inventory information acquisition module is used for carrying out parameter input, transmission interaction and storage on the basic attribute parameters of the materials through the wireless data acquisition device to acquire storage inventory information of the materials; the material warehouse database construction module is used for constructing a material warehouse database according to the material warehouse inventory information; the product assembly analysis module is used for obtaining information of the warehouse production work order, carrying out product assembly analysis on the information of the warehouse production work order and obtaining information of product production material requirements; the material scheduling optimizing module is used for optimizing the material storage database based on the material demand information of the product production and determining material scheduling and delivery optimizing information; the warehouse-out point position determining module is used for determining the warehouse-out point space position of the warehouse-out materials according to the material dispatching warehouse-out optimization information; and the assembly control management module is used for fitting and generating a material scheduling route based on the spatial position of the warehouse material delivery point, and adding production materials into the SMT production line and the plug-in assembly production line through the AGV robot based on the material scheduling route for assembly control management.
A computer device comprising a memory storing a computer program and a processor which when executing the computer program performs the steps of:
identifying and acquiring basic material attribute parameters by using an RFID technology, wherein the basic material attribute parameters comprise material types, material specifications, material production information and material quantity;
carrying out parameter input, transmission interaction and warehousing on the basic attribute parameters of the materials through a wireless data collector to obtain material warehousing inventory information;
Constructing a material storage database according to the material storage inventory information;
Acquiring warehouse production work order information, and carrying out product assembly analysis on the warehouse production work order information to acquire product production material demand information;
optimizing the material warehouse database based on the product production material demand information, and determining material dispatching warehouse-out optimization information;
Determining the spatial position of a warehouse-out point of the warehouse material according to the material dispatching warehouse-out optimization information;
And fitting to generate a material scheduling route based on the spatial position of the warehouse material warehouse outlet point, and adding production materials into an SMT production line and a plug-in assembly production line through an AGV robot based on the material scheduling route to carry out assembly control management.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
identifying and acquiring basic material attribute parameters by using an RFID technology, wherein the basic material attribute parameters comprise material types, material specifications, material production information and material quantity;
carrying out parameter input, transmission interaction and warehousing on the basic attribute parameters of the materials through a wireless data collector to obtain material warehousing inventory information;
Constructing a material storage database according to the material storage inventory information;
Acquiring warehouse production work order information, and carrying out product assembly analysis on the warehouse production work order information to acquire product production material demand information;
optimizing the material warehouse database based on the product production material demand information, and determining material dispatching warehouse-out optimization information;
Determining the spatial position of a warehouse-out point of the warehouse material according to the material dispatching warehouse-out optimization information;
And fitting to generate a material scheduling route based on the spatial position of the warehouse material warehouse outlet point, and adding production materials into an SMT production line and a plug-in assembly production line through an AGV robot based on the material scheduling route to carry out assembly control management.
The full-automatic warehouse operation control method and system for the WMS solve the technical problems that in the prior art, product delivery assembly links are not considered, warehouse management and control accuracy is low, and warehouse management efficiency is further reduced, and achieve the technical effects that the automatic management of warehouse operation control is achieved by combining product assembly links to schedule and control materials of a production line, warehouse management and control real-time accuracy is improved, and warehouse management efficiency is further guaranteed.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
FIG. 1 is a flow chart of a method for controlling operation of a fully automated warehouse for a WMS in one embodiment;
fig. 2 is a schematic flow chart of acquiring inventory information of a material warehouse in a fully automatic warehouse operation control method for WMS according to an embodiment;
FIG. 3 is a block diagram of a fully automated warehouse operation control system for a WMS in one embodiment;
fig. 4 is an internal structural diagram of a computer device in one embodiment.
Reference numerals illustrate: the system comprises a material attribute parameter obtaining module 11, a warehouse stock information obtaining module 12, a material warehouse database constructing module 13, a product assembly analysis module 14, a material scheduling optimizing module 15, a warehouse-out point determining module 16 and an assembly control management module 17.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
As shown in fig. 1, the present application provides a fully automatic warehouse running control method for WMS, where the method is applied to a remote health monitoring management system, the system includes a video monitoring device, and the system is communicatively connected to an intelligent wearable device, and the method includes:
step S100: identifying and acquiring basic material attribute parameters by using an RFID technology, wherein the basic material attribute parameters comprise material types, material specifications, material production information and material quantity;
Specifically, the WMS warehouse management system is used for supporting enterprise warehouse full-line operation, including receiving goods processing, loading management, picking operation, platform management, replenishment management, in-warehouse operation, circulation inventory and the like, and helping enterprises fully utilize warehouse space through coordination and optimization of resource use and material flow. Therefore, the full-automatic operation control of the warehouse plays a vital role in the field of electronic product production and the like.
The method comprises the steps of accurately managing warehouse materials, carrying out bar code identification on the warehouse materials, wherein the bar code of the materials comprises basic attribute parameters of the materials, and the basic attribute parameters of the materials comprise information such as material types, material specifications, material production information, material quantity and the like of the warehouse materials. And then the RFID technology is used for identifying the material bar code, the basic attribute parameters of the contained materials are obtained, the material information is timely obtained, the management efficiency of the warehouse-in materials is improved, and the accuracy of the warehouse-in material data is ensured.
Step S200: carrying out parameter input, transmission interaction and warehousing on the basic attribute parameters of the materials through a wireless data collector to obtain material warehousing inventory information;
In one embodiment, as shown in fig. 2, the step S200 of the present application further includes:
step S210: constructing a full-automatic storage space-time map model;
step S220: acquiring material warehouse inventory attribute information based on the full-automatic warehouse space-time map model;
Step S230: the basic attribute parameters of the materials are interactively transmitted to a warehouse allocation control center through a wireless data collector;
step S240: the warehouse allocation control center performs warehouse entry analysis based on the material warehouse storage attribute information and the material basic attribute parameters to obtain material warehouse entry matching parameters;
Step S250: and the AGV robot stores the production materials based on the material storage matching parameters to obtain the material storage inventory information.
In one embodiment, step S250 of the present application further comprises:
Step S251: according to the storage model data management standard, formulating an effective application strategy for obtaining model data;
Step S252: determining a time identification element according to the effective application strategy of the model data, wherein the time identification element is a model data updating period;
Step S253: acquiring update data based on the time identification elements to obtain storage model update data information;
step S254: and updating the full-automatic warehousing space-time map model based on the warehousing model updating data information.
In one embodiment, the step S230 of the present application further includes:
step S231: obtaining target application scene information of the wireless data collector;
Step S232: based on the storage transmission application scene, designing and obtaining a data transmission link, wherein the data transmission link comprises optical fiber transmission, wireless microwave transmission, baseband transmission and wireless safety network bridge transmission;
step S233: matching is carried out on the basis of the target application scene information and the data transmission link, and a target transmission link is obtained;
Step S234: and transmitting the basic attribute parameters of the materials to the warehouse allocation control center based on the target transmission link.
Specifically, the wireless data collector adopts a high-performance industrial embedded processor to perform stable data collection, improves data collection accuracy, and performs parameter input, transmission interaction and warehousing on basic attribute parameters of the materials through the wireless data collector. Firstly, a full-automatic storage space-time map model is constructed, the full-automatic storage space-time map model is a space-time multidimensional map model of full-automatic storage, has a space-time composite analysis function and a multidimensional information visualization function, comprehensively displays storage space information and storage time information of storage materials, and visually displays storage space information of the storage materials in each time stage.
In addition, in order to ensure the real-time accuracy of the storage model application, an effective application strategy for obtaining the model data is formulated according to the storage model data management standard, wherein the effective application strategy of the model data is the effective application period of the model data so as to ensure the timely updating of the model data. And determining a time identification element according to the effective application strategy of the model data, wherein the time identification element is a model data updating period, and the data updating period is set to be once per day for ensuring the application effectiveness of the storage model. And acquiring update data based on the time identification elements, namely acquiring even the material warehouse data according to a data update period to obtain corresponding warehouse model update data information. And updating the full-automatic storage space-time map model based on the storage model updating data information, so that the real-time updating property of the storage space-time model is ensured, and the real-time accuracy of storage management and control is improved.
And acquiring material warehouse inventory attribute information, including material basic attributes and space attributes, based on the full-automatic warehouse space-time map model. And the material basic attribute parameters are interactively transmitted to a warehouse allocation control center through a wireless data collector, and the warehouse allocation control center is used for allocating and analyzing warehouse materials. In the data transmission process, the target application scene information of the wireless data collector, namely the data input environment information and the scene transmission requirement of the wireless data collector, is firstly obtained, wherein the data input environment information and the scene transmission requirement comprise the transmission distance from a control center, the transmission applicable medium, the environment complexity, the transmission speed requirement and the like. Based on the application scenes of warehouse transmission, the data transmission link is designed and obtained, namely, the transmission link type is designed according to each application scene of warehouse transmission, and the designed and obtained data transmission link mainly comprises optical fiber transmission, wireless microwave transmission, baseband transmission, wireless safety network bridge transmission and the like. Based on the target application scene information and the data transmission link, matching, namely, corresponding transmission link selection is performed according to a data transmission environment, and the baseband transmission is applied to data communication in a relatively short distance; an optional optical fiber transmission having a transmission medium and requiring a transmission speed; wireless microwave transmission can be selected in the non-paved network transmission line; the data transmission quantity is not large and the transmission safety is required to be carried out by the selectable wireless safety network bridge, so that the target transmission link suitable for the application scene is obtained.
And transmitting the basic material attribute parameters to the warehouse allocation control center for allocation analysis based on the target transmission link, wherein the warehouse allocation control center performs warehouse analysis based on the material warehouse inventory attribute information and the basic material attribute parameters, namely, performs classification spare analysis according to the transmitted warehouse material data and warehouse material inventory to obtain material warehouse matching parameters, namely, storage matching space positions of the material warehouse. And the AGV robot stores the production materials based on the material storage matching parameters to obtain material storage inventory information of the production materials, wherein the material storage inventory information comprises storage space positions, storage time and the like. By constructing a full-automatic storage space-time map model, storage parameters of storage materials are matched in time, the storage accuracy of the materials is improved, and storage management efficiency is further guaranteed.
Step S300: constructing a material storage database according to the material storage inventory information;
Step S400: acquiring warehouse production work order information, and carrying out product assembly analysis on the warehouse production work order information to acquire product production material demand information;
Specifically, the warehouse-in material inventory information is updated according to the material warehouse-in inventory information, so that a material warehouse-in database is constructed and obtained, and the material warehouse-in database is used for storing the material inventory information and guaranteeing the instantaneity and the inventory material accuracy of the warehouse-in material information in real time. And acquiring information of the warehouse production work orders issued by the product order system, wherein the information of the warehouse production work orders comprises information such as the type of the produced products, the production quantity and the like. And then carrying out product assembly analysis on the information of the warehouse production work order, namely carrying out assembly material analysis of a production line, and obtaining corresponding information of the production material demand of the product, namely the type, specification, quantity and the like of the material required by the production work order, so as to ensure the sufficient supply of the material of the production line.
Step S500: optimizing the material warehouse database based on the product production material demand information, and determining material dispatching warehouse-out optimization information;
in one embodiment, the determining the material dispatching and delivering preference information, the step S500 of the present application further includes:
step S510: taking the product production material demand information as a material delivery constraint condition;
Step S520: setting a material scheduling optimizing space according to the material warehouse database and the material warehouse-out constraint condition;
step S530: obtaining a material ex-warehouse preference evaluation index, wherein the material ex-warehouse preference evaluation index comprises a material quality value, a material warehouse-in date and a material warehouse-in quantity;
step S540: and carrying out global optimization in the material scheduling optimization space based on the material ex-warehouse optimization index, and outputting the material scheduling ex-warehouse optimization information.
In one embodiment, the step S540 of applying further includes:
step S541: randomly selecting a first ex-warehouse material in the material scheduling optimizing space as a current optimal ex-warehouse material;
step S542: carrying out optimizing scoring on the first ex-warehouse material by adopting the material ex-warehouse optimizing degree evaluation index to obtain a first material optimizing score;
step S543: constructing a first neighborhood of the first ex-warehouse material based on a preset neighborhood mode, wherein the first neighborhood comprises a plurality of ex-warehouse materials;
Step S544: sequentially calculating optimizing scores of the plurality of ex-warehouse materials to obtain a plurality of material optimizing scores;
Step S545: and obtaining the material dispatching and warehouse-out optimization information based on the first material optimizing score and the material optimizing scores.
Specifically, the product production material demand information is used as a material delivery constraint condition, namely a warehouse material scheduling matching condition. According to the material warehouse database and the material warehouse-out constraint conditions, a material scheduling optimizing space is set, namely, firstly, initial matching of materials meeting the conditions is carried out according to the material warehouse-out constraint conditions, and the material scheduling optimizing space is a global optimizing range of the schedulable materials meeting the requirements. And obtaining a material ex-warehouse preference evaluation index, wherein the material preference evaluation index mainly comprises material quality value, material warehouse-in date, material warehouse-in quantity and the like.
And carrying out global optimization in the material scheduling optimizing space based on the material ex-warehouse priority evaluation index, firstly randomly selecting a first ex-warehouse material in the material scheduling optimizing space to serve as a current optimal ex-warehouse material, then carrying out optimizing grading on the first ex-warehouse material by adopting the material ex-warehouse priority evaluation index, grading different material attributes corresponding to different grades, and obtaining a first material optimizing grade corresponding to the material, wherein specific grading evaluation dividing standard can be set by self, and the material optimizing grade is high in material quality value, early in material warehouse-in date and high in material warehouse-in quantity. And constructing a first neighborhood of the first ex-warehouse material based on a preset neighborhood mode, wherein the first neighborhood comprises a plurality of ex-warehouse materials with other attributes, namely, dividing the neighborhood materials within a preset distance range according to the currently selected materials, and the preset range can be automatically determined according to historical experience data.
And sequentially calculating the optimizing scores of the plurality of ex-warehouse materials to obtain a plurality of material optimizing scores corresponding to the optimizing scores. And comparing the first material optimizing score with the material optimizing scores, and screening out material dispatching and warehouse-out preferred information with higher scores. And (3) after repeated screening and iteration, if the iterative optimization reaches the preset iteration times, outputting the material dispatching and dispatching optimization information if the preset iteration times are iteration times limited, improving the material production suitability, improving the optimizing and dispatching accuracy and the material dispatching efficiency, and further ensuring the warehousing management efficiency and the dispatching accuracy.
Step S600: determining the spatial position of a warehouse-out point of the warehouse material according to the material dispatching warehouse-out optimization information;
Step S700: and fitting to generate a material scheduling route based on the spatial position of the warehouse material warehouse outlet point, and adding production materials into an SMT production line and a plug-in assembly production line through an AGV robot based on the material scheduling route to carry out assembly control management.
In one embodiment, step S700 of the present application further comprises:
step S710: monitoring the SMT production line and the plug-in production line in real time to obtain material assembly feedback information of the production line;
Step S720: inputting the material assembly feedback information of the production line and the information of the warehouse production work order into a material prediction model of the production line for analysis, and outputting material demand regulation prediction information;
Step S730: when the material demand adjustment prediction information is positive, carrying out material feeding scheduling on the production line;
step S740: and if the material demand adjustment prediction information is negative, carrying out warehouse entry management on the production line residual materials.
Specifically, position determination is carried out according to the material priority ex-warehouse sequencing information and a material warehouse database, and warehouse material ex-warehouse point space position coordinates of each ex-warehouse material are obtained. And fitting to generate a material scheduling route based on the spatial position of the warehouse material warehouse outlet point, wherein the material scheduling route is the shortest material scheduling route, and adding production materials into an SMT production line and a plug-in production line through an AGV (automated guided vehicle) robot based on the material scheduling route to carry out assembly control management, namely carrying out surface assembly of electronic products and packaging production of plug-ins. And in the assembly production process, monitoring the SMT production line and the plug-in production line in real time to obtain material assembly feedback information of the production line, wherein the feedback information comprises feedback parameters such as assembly progress, use condition of production materials and the like.
And inputting the production line material assembly feedback information and the warehouse production work order information into a production line material prediction model for analysis, wherein the production line material prediction model is used for adjusting and analyzing material demands, and the prediction model is obtained through historical data fitting so as to output material demand adjustment prediction information, namely, warehouse material information which needs to be adjusted when the production work order is met is determined. When the material demand adjustment prediction information is positive, namely the production material is insufficient, material replenishment scheduling is required to be carried out on the production line based on the material demand adjustment prediction information. And if the material demand adjustment prediction information is negative, indicating that the product production line has residual materials, and carrying out warehouse management on the residual materials of the production line. By timely adjusting and predicting the materials of the production line, the completion degree of the production work order is guaranteed, the automatic management of the warehouse operation control is realized, and the warehouse management, control and scheduling accuracy and scheduling efficiency are improved.
In one embodiment, as shown in fig. 3, there is provided a full-automatic warehouse operation control system for WMSs, comprising: the system comprises a material attribute parameter obtaining module 11, a warehouse stock information obtaining module 12, a material warehouse database constructing module 13, a product assembly analysis module 14, a material scheduling optimizing module 15, a warehouse-out point determining module 16 and an assembly control management module 17, wherein:
A material attribute parameter obtaining module 11, configured to identify and obtain a material basic attribute parameter by using an RFID technology, where the material basic attribute parameter includes a material type, a material specification, material production information, and a material quantity;
The warehouse stock information obtaining module 12 is used for carrying out parameter input, transmission interaction and warehouse entry on the basic attribute parameters of the materials through the wireless data collector to obtain the stock information of the materials;
the material warehouse database construction module 13 is used for constructing a material warehouse database according to the material warehouse inventory information;
the product assembly analysis module 14 is configured to obtain information of a warehouse production work order, and perform product assembly analysis on the information of the warehouse production work order to obtain information of product production material requirements;
The material scheduling optimizing module 15 is used for optimizing the material storage database based on the material demand information of the product production and determining material scheduling and delivery optimization information;
The warehouse-out point position determining module 16 is used for determining the warehouse-out point space position of the warehouse-out materials according to the material dispatching warehouse-out optimization information;
and the assembly control management module 17 is used for fitting and generating a material scheduling route based on the spatial position of the warehouse material delivery point, and adding production materials into the SMT production line and the plug-in assembly production line through an AGV robot based on the material scheduling route for assembly control management.
In one embodiment, the system further comprises:
The space-time map model building unit is used for building a full-automatic storage space-time map model;
the storage inventory attribute obtaining unit is used for obtaining material storage inventory attribute information based on the full-automatic storage space-time map model;
the data interaction transmission unit is used for interactively transmitting the basic attribute parameters of the materials to the warehouse allocation control center through the wireless data acquisition unit;
the warehousing analysis unit is used for carrying out warehousing analysis by the warehousing allocation control center based on the material warehousing inventory attribute information and the material basic attribute parameters to obtain material warehousing matching parameters;
and the material warehouse-in unit is used for warehousing the production materials by the AGV robot based on the material warehouse-in matching parameters to obtain the material warehouse-in inventory information.
In one embodiment, the system further comprises:
the target application scene obtaining unit is used for obtaining the target application scene information of the wireless data collector;
The data transmission link obtaining unit is used for designing and obtaining a data transmission link based on a storage transmission application scene, wherein the data transmission link comprises optical fiber transmission, wireless microwave transmission, baseband transmission and wireless safety network bridge transmission;
the transmission link matching unit is used for matching the target application scene information with the data transmission link to obtain a target transmission link;
And the data transmission unit is used for transmitting the material basic attribute parameters to the warehouse allocation control center based on the target transmission link.
In one embodiment, the system further comprises:
The application strategy obtaining unit is used for formulating an effective application strategy for obtaining model data according to the storage model data management standard;
The time identification element determining unit is used for determining a time identification element according to the effective application strategy of the model data, wherein the time identification element is a model data updating period;
The model updating data obtaining unit is used for collecting updating data based on the time identification elements to obtain storage model updating data information;
And the space-time model updating unit is used for updating the full-automatic storage space-time map model based on the storage model updating data information.
In one embodiment, the system further comprises:
the constraint condition obtaining unit is used for taking the product production material demand information as a material delivery constraint condition;
the scheduling optimizing space unit is used for setting a material scheduling optimizing space according to the material warehouse database and the material warehouse-out constraint condition;
The system comprises a preference evaluation index obtaining unit, a storage unit and a storage unit, wherein the preference evaluation index obtaining unit is used for obtaining a material ex-warehouse preference evaluation index, and the material ex-warehouse preference evaluation index comprises a material quality value, a material storage date and a material storage quantity;
And the global optimizing unit is used for performing global optimization in the material scheduling optimizing space based on the material ex-warehouse optimization index and outputting the material scheduling ex-warehouse optimization information.
In one embodiment, the system further comprises:
the ex-warehouse material selection unit is used for randomly selecting a first ex-warehouse material in the material scheduling optimizing space to serve as a current optimal ex-warehouse material;
The optimizing and scoring unit is used for optimizing and scoring the first ex-warehouse materials by adopting the material ex-warehouse preference evaluation index to obtain a first material optimizing and scoring;
The material neighborhood construction unit is used for constructing a first neighborhood of the first ex-warehouse materials based on a preset neighborhood mode, wherein the first neighborhood comprises a plurality of ex-warehouse materials;
The material score calculating unit is used for sequentially calculating the optimizing scores of the plurality of ex-warehouse materials to obtain a plurality of material optimizing scores;
the material dispatching and warehouse-out optimization information obtaining unit is used for obtaining the material dispatching and warehouse-out optimization information based on the first material optimizing score and the material optimizing scores.
In one embodiment, the system further comprises:
the production line monitoring unit is used for monitoring the SMT production line and the plug-in production line in real time to obtain material assembly feedback information of the production line;
the material regulation prediction unit is used for inputting the material assembly feedback information of the production line and the information of the warehouse production work order into a material prediction model of the production line for analysis and outputting material demand regulation prediction information;
The material supplementing and scheduling unit is used for carrying out material supplementing and scheduling on the production line when the material demand adjustment prediction information is positive;
and the residual material warehouse-in management unit is used for carrying out warehouse-in management on the residual materials of the production line if the material demand adjustment prediction information is negative.
For a specific embodiment of a fully automatic warehouse operation control system for WMSs, reference is made to the above embodiments of a fully automatic warehouse operation control method for WMSs, and details thereof are not repeated herein. The modules in the fully automatic warehouse running control device for WMS may be implemented in whole or in part by software, hardware, or a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 4. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing news data, time attenuation factors and other data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by the processor, implements a fully automated warehouse run control method for WMSs.
It will be appreciated by persons skilled in the art that the architecture shown in fig. 4 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting as to the computer device to which the present inventive arrangements are applicable, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of: identifying and acquiring basic material attribute parameters by using an RFID technology, wherein the basic material attribute parameters comprise material types, material specifications, material production information and material quantity; carrying out parameter input, transmission interaction and warehousing on the basic attribute parameters of the materials through a wireless data collector to obtain material warehousing inventory information; constructing a material storage database according to the material storage inventory information; acquiring warehouse production work order information, and carrying out product assembly analysis on the warehouse production work order information to acquire product production material demand information; optimizing the material warehouse database based on the product production material demand information, and determining material dispatching warehouse-out optimization information; determining the spatial position of a warehouse-out point of the warehouse material according to the material dispatching warehouse-out optimization information; and fitting to generate a material scheduling route based on the spatial position of the warehouse material warehouse outlet point, and adding production materials into an SMT production line and a plug-in assembly production line through an AGV robot based on the material scheduling route to carry out assembly control management.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of: identifying and acquiring basic material attribute parameters by using an RFID technology, wherein the basic material attribute parameters comprise material types, material specifications, material production information and material quantity; carrying out parameter input, transmission interaction and warehousing on the basic attribute parameters of the materials through a wireless data collector to obtain material warehousing inventory information; constructing a material storage database according to the material storage inventory information; acquiring warehouse production work order information, and carrying out product assembly analysis on the warehouse production work order information to acquire product production material demand information; optimizing the material warehouse database based on the product production material demand information, and determining material dispatching warehouse-out optimization information; determining the spatial position of a warehouse-out point of the warehouse material according to the material dispatching warehouse-out optimization information; and fitting to generate a material scheduling route based on the spatial position of the warehouse material warehouse outlet point, and adding production materials into an SMT production line and a plug-in assembly production line through an AGV robot based on the material scheduling route to carry out assembly control management. The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (7)
1. A full-automatic warehouse operation control method for WMSs, said method comprising:
identifying and acquiring basic material attribute parameters by using an RFID technology, wherein the basic material attribute parameters comprise material types, material specifications, material production information and material quantity;
carrying out parameter input, transmission interaction and warehousing on the basic attribute parameters of the materials through a wireless data collector to obtain material warehousing inventory information;
Constructing a material storage database according to the material storage inventory information;
Acquiring warehouse production work order information, and carrying out product assembly analysis on the warehouse production work order information to acquire product production material demand information;
optimizing the material warehouse database based on the product production material demand information, and determining material dispatching warehouse-out optimization information;
Determining the spatial position of a warehouse-out point of the warehouse material according to the material dispatching warehouse-out optimization information;
Fitting to generate a material scheduling route based on the spatial position of the warehouse material warehouse outlet point, and adding production materials into an SMT production line and a plug-in production line through an AGV (automated guided vehicle) robot based on the material scheduling route for assembly control management;
Wherein, the determining the material dispatching and delivering optimization information comprises the following steps:
taking the product production material demand information as a material delivery constraint condition;
setting a material scheduling optimizing space according to the material warehouse database and the material warehouse-out constraint condition;
Obtaining a material ex-warehouse preference evaluation index, wherein the material ex-warehouse preference evaluation index comprises a material quality value, a material warehouse-in date and a material warehouse-in quantity;
Performing global optimization in the material scheduling optimization space based on the material ex-warehouse optimization index, and outputting the material scheduling ex-warehouse optimization information;
the global optimization is performed in the material scheduling optimization space based on the material dispatching optimization evaluation index, and the material dispatching optimization information is output, which comprises the following steps:
randomly selecting a first ex-warehouse material in the material scheduling optimizing space as a current optimal ex-warehouse material;
carrying out optimizing scoring on the first ex-warehouse material by adopting the material ex-warehouse optimizing degree evaluation index to obtain a first material optimizing score;
constructing a first neighborhood of the first ex-warehouse material based on a preset neighborhood mode, wherein the first neighborhood comprises a plurality of ex-warehouse materials;
Sequentially calculating optimizing scores of the plurality of ex-warehouse materials to obtain a plurality of material optimizing scores;
acquiring the material dispatching ex-warehouse optimization information based on the first material optimizing score and the plurality of material optimizing scores;
the method further comprises the steps of:
Monitoring the SMT production line and the plug-in production line in real time to obtain material assembly feedback information of the production line;
Inputting the material assembly feedback information of the production line and the information of the warehouse production work order into a material prediction model of the production line for analysis, and outputting material demand regulation prediction information;
When the material demand adjustment prediction information is positive, carrying out material feeding scheduling on the production line;
and if the material demand adjustment prediction information is negative, carrying out warehouse entry management on the production line residual materials.
2. The method of claim 1, wherein the performing parameter entry, transmission interaction and warehousing of the basic attribute parameters of the materials by the wireless data collector to obtain the stock information of the materials warehouse comprises:
constructing a full-automatic storage space-time map model;
Acquiring material warehouse inventory attribute information based on the full-automatic warehouse space-time map model;
The basic attribute parameters of the materials are interactively transmitted to a warehouse allocation control center through a wireless data collector;
The warehouse allocation control center performs warehouse entry analysis based on the material warehouse storage attribute information and the material basic attribute parameters to obtain material warehouse entry matching parameters;
And the AGV robot stores the production materials based on the material storage matching parameters to obtain the material storage inventory information.
3. The method of claim 2, wherein said interactively transmitting said material base attribute parameters to a warehouse deployment control center via a wireless data collector comprises:
obtaining target application scene information of the wireless data collector;
Based on the storage transmission application scene, designing and obtaining a data transmission link, wherein the data transmission link comprises optical fiber transmission, wireless microwave transmission, baseband transmission and wireless safety network bridge transmission;
matching is carried out on the basis of the target application scene information and the data transmission link, and a target transmission link is obtained;
and transmitting the basic attribute parameters of the materials to the warehouse allocation control center based on the target transmission link.
4. The method according to claim 2, wherein the method comprises:
according to the storage model data management standard, formulating an effective application strategy for obtaining model data;
determining a time identification element according to the effective application strategy of the model data, wherein the time identification element is a model data updating period;
Acquiring update data based on the time identification elements to obtain storage model update data information;
and updating the full-automatic warehousing space-time map model based on the warehousing model updating data information.
5. A fully automated warehouse operations control system for WMSs, said system comprising:
The material attribute parameter obtaining module is used for identifying and obtaining material basic attribute parameters by using an RFID technology, wherein the material basic attribute parameters comprise material types, material specifications, material production information and material quantity;
The storage inventory information acquisition module is used for carrying out parameter input, transmission interaction and storage on the basic attribute parameters of the materials through the wireless data acquisition device to acquire storage inventory information of the materials;
the material warehouse database construction module is used for constructing a material warehouse database according to the material warehouse inventory information;
the product assembly analysis module is used for obtaining information of the warehouse production work order, carrying out product assembly analysis on the information of the warehouse production work order and obtaining information of product production material requirements;
The material scheduling optimizing module is used for optimizing the material storage database based on the material demand information of the product production and determining material scheduling and delivery optimizing information;
the warehouse-out point position determining module is used for determining the warehouse-out point space position of the warehouse-out materials according to the material dispatching warehouse-out optimization information;
The assembly control management module is used for fitting and generating a material scheduling route based on the spatial position of the warehouse material delivery point, and adding production materials into an SMT production line and a plug-in production line through an AGV (automated guided vehicle) robot based on the material scheduling route for assembly control management;
the constraint condition obtaining unit is used for taking the product production material demand information as a material delivery constraint condition;
the scheduling optimizing space unit is used for setting a material scheduling optimizing space according to the material warehouse database and the material warehouse-out constraint condition;
the system comprises a preference evaluation index obtaining unit, a storage unit and a storage unit, wherein the preference evaluation index obtaining unit is used for obtaining a material ex-warehouse preference evaluation index, and the material ex-warehouse preference evaluation index comprises a material quality value, a material storage date and a material storage quantity;
The global optimizing unit is used for performing global optimization in the material scheduling optimizing space based on the material ex-warehouse optimization evaluation index and outputting the material scheduling ex-warehouse optimization information;
the ex-warehouse material selection unit is used for randomly selecting a first ex-warehouse material in the material scheduling optimizing space to serve as a current optimal ex-warehouse material;
The optimizing and scoring unit is used for optimizing and scoring the first ex-warehouse materials by adopting the material ex-warehouse preference evaluation index to obtain a first material optimizing and scoring;
The material neighborhood construction unit is used for constructing a first neighborhood of the first ex-warehouse materials based on a preset neighborhood mode, wherein the first neighborhood comprises a plurality of ex-warehouse materials;
The material score calculating unit is used for sequentially calculating the optimizing scores of the plurality of ex-warehouse materials to obtain a plurality of material optimizing scores;
A material dispatching and warehouse-out optimization information obtaining unit, configured to obtain the material dispatching and warehouse-out optimization information based on the first material optimizing score and the plurality of material optimizing scores;
the production line monitoring unit is used for monitoring the SMT production line and the plug-in production line in real time to obtain material assembly feedback information of the production line;
the material regulation prediction unit is used for inputting the material assembly feedback information of the production line and the information of the warehouse production work order into a material prediction model of the production line for analysis and outputting material demand regulation prediction information;
The material supplementing and scheduling unit is used for carrying out material supplementing and scheduling on the production line when the material demand adjustment prediction information is positive;
and the residual material warehouse-in management unit is used for carrying out warehouse-in management on the residual materials of the production line if the material demand adjustment prediction information is negative.
6. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 4 when the computer program is executed.
7. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 4.
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