CN108510828A - A kind of experimental system and its construction method of storage and stock control - Google Patents

Abstract

A kind of experimental system and its construction method of storage and stock control, including：Collecting unit and simulation unit；Wherein, collecting unit is used for：Acquire the image information of the scene in kind built in advance；Simulation unit is used for：Simulation model is established according to the image information of the scene in kind of acquisition.The embodiment of the present invention establishes simulation model by scene in kind, while the practice experience for promoting user, ensure that the operation efficiency of experimental system, the study that storage and stock control are carried out for user provides the foundation.

Description

An experimental system for warehousing and inventory management and its construction method

technical field

This article involves but is not limited to logistics information processing technology, especially an experimental system of warehousing and inventory management and its construction method.

Background technique

Warehousing and inventory management is an important link in logistics management. The improvement of warehousing and inventory management efficiency is of great significance to improving the efficiency of the entire logistics management system; warehousing and inventory management includes the management of goods stored in warehouses or warehouses. Goods management reduces storage costs and enables enterprises to obtain more benefits; specifically, it includes the design of the overall layout of the warehouse, the principles of goods placement, picking strategies, replenishment strategies, sorting methods, etc. With the rapid development of the logistics industry, warehousing is not only a place for temporary storage of goods, how to use scientific inventory management methods to improve the efficiency of goods circulation and reduce the cost of warehousing has become an important content of logistics management.

At present, users who are engaged in the study and research of the logistics industry at home and abroad mainly conduct study and research on warehousing and inventory management through the pre-set experimental system. Including the physical operation experiment system and the simulation experiment system, but both the physical operation experiment system and the simulation experiment system have certain limitations, and cannot meet the user's requirements for learning and researching the storage and inventory management system.

Contents of the invention

The following is an overview of the topics described in detail in this article. This summary is not intended to limit the scope of the claims.

Embodiments of the present invention provide an experimental system for warehousing and inventory management and a construction method thereof, which can ensure the operational efficiency of the experimental system while improving the user's practical experience.

An embodiment of the present invention provides an experimental system for warehousing and inventory management, including: a collection unit and a simulation unit; wherein,

The acquisition unit is used to: acquire the image information of the pre-built physical scene;

The simulation unit is used for: establishing a simulation model according to the collected image information of the physical scene.

Optionally, the experimental system also includes a construction unit for:

According to the storage layout information, a physical model is set on the preset operation table to construct the physical scene that meets the predetermined storage layout requirements;

Wherein, the storage layout information includes layout information of one or more of the following storage components: shelves, commodities, warehouse structures, and production tools; the physical model includes: shelf models, commodity models, warehouse structure models, and production tool models.

Optionally, the experimental system further includes a model identification unit, configured to respectively set corresponding model identifications on different physical models;

Wherein, the model identification of the physical model is used to record some or all of the following attribute information of the physical model: coordinates, specifications, and capacity of the experimental system.

Optionally, the simulation unit includes a model analysis module and a simulation module; wherein,

The model analysis module is used to: analyze and obtain the model identification on each physical model in the physical scene from the collected image information; determine the attribute information of each physical model according to the analyzed model identification;

The simulation module is used for: establishing the simulation model according to the determined attribute information and the preset storage strategy.

Optionally, the experimental system also includes an instruction identification unit and an instruction analysis unit; wherein,

The instruction identification unit is used to: set an instruction identification for controlling the operation of the simulation model on a preset instruction model; wherein, when performing operation control on the simulation model, the instruction model is set on the in real scene;

The instruction analysis unit is configured to: when analyzing and obtaining the instruction identifier from the collected image information, perform operation control on the simulation model according to the analyzed instruction identifier;

Wherein, the operation control includes one or more of the following state controls: start, pause, restart, stop.

Optionally, the experimental system also includes a display unit for:

In the physical scene, the simulation operation information during the operation of the simulation model is displayed.

Optionally, the display unit is used to display one or any of the following simulation operation information during operation of the simulation model in the constructed physical scene:

During the simulation operation, the scheduling animation information of storage resources deployed according to the scheduling strategy;

In the process of warehousing resource allocation, storage data information of warehousing resources;

The result of the simulation operation.

Optionally, the display unit is configured to display simulation operation information during operation of the simulation model in the constructed physical scene in the following manner:

When the simulation calculation information includes the scheduling animation information, determine the physical models involved in each time period when the storage resources are deployed according to the scheduling strategy; according to the determined physical models involved in each time period, and each of the physical models in The image coordinates in the coordinate system of the acquisition unit display the deployment process and the deployment path in the form of simulation animation on one or more associated physical models;

When the simulation operation information includes the stored data information, determine the physical model associated with the stored data information; display the stored data on the associated physical model according to the image coordinates of each physical model information;

When the simulation operation information includes the result of the simulation operation, the result of the simulation operation is displayed in a preset area of the operating surface.

Optionally, the experimental system also includes a location identification unit and a location analysis unit; wherein,

The setting marking unit is also used for: setting a position marking for coordinate determination on the operation table;

The position analysis unit is used to: obtain the position identification from the image information; according to the image coordinates of the position identification in the coordinate system of the acquisition unit, and the preset experiment corresponding to the position identification System coordinates, determining the image coordinates corresponding to the experimental system coordinates of each physical model.

Optionally, the location analysis unit is also used for:

When the projection device is projecting, determine the projection coordinates of the model logo on the operation table;

The projection position of the simulation operation information on the physical model is determined according to the image coordinates of the model identification and the determined projection coordinates.

On the other hand, the embodiment of the present invention also provides a construction method of an experimental system for warehousing and inventory management, including:

Collect image information of pre-built physical scenes;

The simulation model is established according to the image information of the collected physical scene.

Optionally, before the image information of the pre-built physical scene is collected, the construction method further includes:

According to the storage layout information, a physical model is set on the preset operation table to construct the physical scene that meets the predetermined storage layout requirements;

Wherein, the storage layout information includes layout information of one or more of the following storage components: shelves, commodities, warehouse structures, and production tools; the physical model includes: shelf models, commodity models, warehouse structure models, and production tool models.

Optionally, before the physical model is set on the preset operation table, the construction method further includes:

Corresponding model identifications are respectively set on different physical models;

Wherein, the model identification of the physical model is used to record some or all of the following attribute information of the physical model: coordinates, specifications, and capacity of the experimental system.

Optionally, the establishment of a simulation model based on the image information of the collected physical scene includes:

Analyzing and obtaining the model identification set on each of the physical models from the collected image information;

Determine the attribute information of each physical model according to the model identification obtained through analysis;

The simulation model is established according to the attribute information obtained through analysis and the preset storage strategy.

Optionally, after the image information of the pre-built physical scene is collected, the construction method further includes:

On the pre-set instruction model, an instruction identifier for performing operation control on the simulation model is set; wherein, when performing operation control on the simulation model, the instruction model is set in the physical scene;

When the instruction identifier is obtained by analyzing the collected image information, the operation control of the simulation model is performed according to the instruction identifier obtained by analysis;

Wherein, the operation control includes one or more of the following state controls: start, pause, restart, stop.

Optionally, after the simulation model is established according to the image information of the collected physical scene, the construction method further includes:

It is pre-set in the physical scene to display the simulation operation information during the operation of the simulation model.

Optionally, the simulation operation information includes one or any of the following:

During the simulation operation, the scheduling animation information of storage resources deployed according to the scheduling strategy;

In the process of warehousing resource allocation, storage data information of warehousing resources;

The result of the simulation operation.

Optionally, the displaying the simulation operation information during the operation of the simulation model includes:

When the simulation calculation information includes the scheduling animation information, determine the physical models involved in each time period when the storage resources are deployed according to the scheduling strategy; according to the determined physical models involved in each time period, and each of the physical models in The image coordinates in the coordinate system of the acquisition unit display the deployment process and the deployment path in the form of simulation animation on one or more associated physical models;

When the simulation operation information includes the stored data information, determine the physical model associated with the stored data information; display the stored data on the associated physical model according to the image coordinates of each physical model information;

When the simulation operation information includes the result of the simulation operation, the result of the simulation operation is displayed in a preset area of the operating surface.

Optionally, before displaying the simulation operation information during the simulation model operation, the construction method further includes:

setting a position mark for coordinate determination on the operating table;

acquiring the location identifier from the image information;

Determine the image coordinates corresponding to the experimental system coordinates of each physical model according to the image coordinates of the position markers in the coordinate system of the acquisition unit and the preset experimental system coordinates corresponding to the position markers .

Optionally, before displaying the simulation operation information during the simulation model operation, the construction method further includes:

When the projection device is projecting, determine the projection coordinates of the model logo on the operation table;

The projection position of the simulation operation information on the physical model is determined according to the image coordinates of the model identification and the determined projection coordinates.

Compared with related technologies, the technical solution of the present application includes: an acquisition unit and a simulation unit; wherein, the acquisition unit is used to: collect image information of a pre-built physical scene; the simulation unit is used to: establish a simulation based on the image information of the collected physical scene Model. The embodiment of the present invention establishes a simulation model through a physical scene, which not only improves the user's practical experience, but also ensures the computing efficiency of the experimental system, and provides a basis for the user to learn storage and inventory management.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

Description of drawings

The accompanying drawings are used to provide a further understanding of the technical solution of the present invention, and constitute a part of the description, and are used together with the embodiments of the application to explain the technical solution of the present invention, and do not constitute a limitation to the technical solution of the present invention.

Fig. 1 is the structural block diagram of the experimental system of warehousing and inventory management of the embodiment of the present invention;

Fig. 2 is the flowchart of the construction method of the experimental system of warehousing and inventory management of the embodiment of the present invention;

Fig. 3 is the schematic diagram that the height of the experimental model is corrected by the embodiment of the present invention;

Fig. 4 is the composition block diagram of the application example experimental system of the present invention;

Fig. 5 is a schematic diagram of the process of warehousing and inventory management in an application example of the present invention;

Fig. 6 is a schematic diagram of the distribution of the operation table of the application example of the present invention;

Fig. 7 is a schematic diagram of a physical model of an application example of the present invention.

Detailed ways

In order to make the purpose, technical solution and advantages of the present invention more clear, the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined arbitrarily with each other.

The steps shown in the flowcharts of the figures may be performed in a computer system, such as a set of computer-executable instructions. Also, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

The inventor of the present application analyzes the existing physical operation experiment system and simulation experiment system in the related art; In the simulation experiment system, the user constructs the simulation model on the simulation interface, and inputs the corresponding simulation parameters according to different scheduling strategies; through the simulation operation, the experimental results are obtained. The physical object operation experiment system enables users to operate physical objects, which is conducive to enhancing users' understanding of scheduling strategies and production activities, and helping users to understand relevant information in warehousing and inventory management more accurately and objectively. The simulation experiment system can efficiently construct complex simulation models, it is convenient to reconstruct or modify the constructed simulation model, the cost is low, and the simulation experiment results can be quickly obtained to judge the pros and cons of user decisions; in summary, physical operation The construction cost of the experimental system is high, it is difficult to change, it is not flexible enough, and it is not suitable for overly complex experimental scenarios; although the theoretical modeling of the simulation experimental system is simple, efficient and fast, compared with the physical operation experimental system, it is not conducive to the user's understanding of scheduling strategies and production activities. to understand. The above-mentioned experimental system for the learning and research of warehousing and inventory management can no longer meet the needs of the growing logistics industry, mainly including the following aspects:

1. The above-mentioned experimental systems generally split complex warehousing and inventory management issues into several theoretical knowledge modules, which cannot effectively cultivate the practical ability of users;

2. Due to the lack of resources such as equipment, venues and tools, the physical operation experiment system is difficult to meet the needs of practical teaching;

3. In addition to pictures and video resources in the simulation experiment system, the simulation model lacks interactivity during the application process. It is difficult for users to associate the simulation model with the actual application storage and inventory management scenarios, and the interactive experience given to users is not realistic enough. The learning experience and effect are poor; in addition, if there is no programming ability, the operability of the simulation experiment system is low.

Fig. 1 is the structural block diagram of the experimental system of warehousing and inventory management in the embodiment of the present invention, as shown in Fig. 1, including: collection unit and simulation unit; Wherein,

The acquisition unit is used to: acquire the image information of the pre-built physical scene;

The simulation unit is used for: establishing a simulation model according to the collected image information of the physical scene. Here, the simulation model is a simulation model of warehousing and inventory management.

Optionally, the experimental system described in the embodiment of the present invention also includes a construction unit for:

According to the storage layout information, a physical model is set on the preset operation table to construct the physical scene that meets the predetermined storage layout requirements;

Wherein, the storage layout information includes layout information of one or more of the following storage components: shelves, commodities, warehouse structures, and production tools; the physical model includes: shelf models, commodity models, warehouse structure models, and production tool models.

It should be noted that the mock-up of the physical scene constructed in the embodiment of the present invention is a mock-up that can be placed in a smaller size, which is greatly reduced in volume compared with the mock-up of the physical operation experimental system in the related art, therefore, storage can be realized. And inventory management scenarios are not limited by space and cost, and a complete warehouse layout can be realized.

Optionally, the experimental system in the embodiment of the present invention further includes a model identification unit, which is used to respectively set corresponding model identifications on different physical models;

Wherein, the model identification of the physical model is used to record some or all of the following attribute information of the physical model: coordinates, specifications, and capacity of the experimental system.

It should be noted that the embodiment of the present invention records and applies the attribute information of the physical model through the model identification, and the attribute information can be configured and modified according to the storage layout information and the deployment of storage resources.

Optionally, the simulation unit in this embodiment of the present invention includes a model analysis module and a simulation module; wherein,

The model analysis module is used to: analyze and obtain the model identification on each physical model in the physical scene from the collected image information; determine the attribute information of each physical model according to the analyzed model identification;

The simulation module is used for: establishing the simulation model according to the determined attribute information and the preset storage strategy. Here, the warehousing strategy may be a warehousing and inventory management strategy known to those skilled in the art; after the embodiment of the present invention obtains the attribute information of the physical model, according to the attribute information and the preset warehousing strategy, the existing The simulation program builds the above-mentioned simulation model.

Optionally, the experimental system in the embodiment of the present invention also includes an instruction identification unit and an instruction analysis unit; wherein,

The instruction identification unit is used to: set an instruction identification for controlling the operation of the simulation model on a preset instruction model; wherein, when performing operation control on the simulation model, the instruction model is set on the in real scene;

The instruction analysis unit is configured to: when analyzing and obtaining the instruction identifier from the collected image information, perform operation control on the simulation model according to the analyzed instruction identifier;

Wherein, the operation control includes one or more of the following state controls: start, pause, restart, stop.

Optionally, the embodiment of the present invention can also display and control the progress of the entire operating state of the experimental system by setting the instruction flag; for example, before the physical scene is constructed, it is determined that the experimental system is turned on; the construction process needs to adjust storage layout information or other When the content is displayed, the experimental system is suspended; when the operation of the experimental system needs to be terminated, the experimental system is controlled to stop running.

It should be noted that the instruction model in the embodiment of the present invention may include: a movable card or other physical model containing an image logo; when the embodiment of the present invention needs to control the running state, the corresponding instruction model is displayed on the acquisition unit and can be collected In the area; the collected image information contains the command identification, and after the command identification is recognized, the command to control the running state of the simulation model is obtained.

Optionally, the experimental system of the embodiment of the present invention also includes a display unit, which is used for:

In the physical scene, the simulation operation information during the operation of the simulation model is displayed. Here, since the display unit needs to display the simulation operation information in the physical scene, and the physical scene includes the operation table and the physical model arranged on the operation table, in order to realize the display of the simulation operation information on the operation table, the operation table in the embodiment of the present invention can be selected The screen for projection display can also be other materials that are conducive to displaying simulation calculation information.

Optionally, the display unit in this embodiment of the present invention is used to display one or any of the following simulation operation information during operation of the simulation model in the constructed physical scene:

During the simulation operation, the scheduling animation information of storage resources deployed according to the scheduling strategy;

In the process of warehousing resource allocation, storage data information of warehousing resources;

The result of the simulation operation.

It should be noted that the allocation of warehouse resources in the embodiment of the present invention includes goods scheduling and configuration processes such as picking up and replenishing goods.

Optionally, in the embodiment of the present invention, the display unit is used to display the simulation operation information during the operation of the simulation model in the following manner in the constructed physical scene:

When the simulation calculation information includes the scheduling animation information, determine the physical models involved in each time period when the storage resources are deployed according to the scheduling strategy; according to the determined physical models involved in each time period, and each of the physical models in The image coordinates in the coordinate system of the acquisition unit display the deployment process and the deployment path in the form of simulation animation on one or more associated physical models;

When the simulation operation information includes the stored data information, determine the physical model associated with the stored data information; display the stored data on the associated physical model according to the image coordinates of each physical model information;

When the simulation operation information includes the result of the simulation operation, the result of the simulation operation is displayed in a preset area of the operating surface.

Optionally, the experimental system in the embodiment of the present invention also includes a position identification unit and a position analysis unit; wherein,

The setting marking unit is also used for: setting a position marking for coordinate determination on the operation table;

The position analysis unit is used to: obtain the position identification from the image information; according to the image coordinates of the position identification in the coordinate system of the acquisition unit, and the preset experiment corresponding to the position identification System coordinates, determining the image coordinates corresponding to the experimental system coordinates of each physical model.

Optionally, the position analysis unit in this embodiment of the present invention is also used for:

When the projection device is projecting, determine the projection coordinates of the model logo on the operation table;

The projection position of the simulation operation information on the physical model is determined according to the image coordinates of the model identification and the determined projection coordinates.

Compared with related technologies, the technical solution of the present application includes: an acquisition unit and a simulation unit; wherein, the acquisition unit is used to: collect image information of a pre-built physical scene; the simulation unit is used to: establish a simulation based on the image information of the collected physical scene Model. The embodiment of the present invention establishes a simulation model through a physical scene, which not only improves the user's practical experience, but also ensures the computing efficiency of the experimental system, and provides a basis for the user to learn storage and inventory management. Specifically, in the embodiment of the present invention, the physical model is set through the operating table, which improves the user's practical experience; the simulation model is established through the built physical scene, and the simulation operation is performed based on the established simulation model, ensuring the operating efficiency of the experimental system; In addition, the instruction model simplifies the interaction process in the experiment process, and displays the simulation operation information in the physical scene, so that users can understand the simulation operation process more intuitively and improve the learning efficiency. Since the physical scene is built through the operating table, it will not be limited by the space and cost, and a complete physical model of the storage layout can be built to realize the systematic learning of storage and inventory management issues.

Fig. 2 is the flow chart of the construction method of the experimental system of warehousing and inventory management in the embodiment of the present invention, as shown in Fig. 2, including:

Step 201, collecting image information of a pre-built physical scene;

Optionally, before collecting the image information of the pre-built physical scene, the construction method of the embodiment of the present invention further includes:

According to the storage layout information, a physical model is set on the preset operation table to construct the physical scene that meets the predetermined storage layout requirements;

Wherein, the storage layout information includes layout information of one or more of the following storage components: shelves, commodities, warehouse structures, and production tools; the physical model includes: shelf models, commodity models, warehouse structure models, and production tool models.

Optionally, before the physical model is set on the preset operating table, the construction method of the embodiment of the present invention further includes:

Corresponding model identifications are respectively set on different physical models;

Wherein, the model identification of the physical model is used to record some or all of the following attribute information of the physical model: coordinates, specifications, and capacity of the experimental system.

Step 202, establishing a simulation model according to the collected image information of the physical scene.

Optionally, in the embodiment of the present invention, establishing a simulation model according to the image information of the collected physical scene includes:

Analyzing and obtaining the model identification set on each of the physical models from the collected image information;

Determine the attribute information of each physical model according to the model identification obtained through analysis;

The simulation model is established according to the attribute information obtained through analysis and the preset storage strategy.

Optionally, after collecting the image information of the pre-built physical scene, the construction method of the embodiment of the present invention further includes:

On the pre-set instruction model, an instruction identifier for performing operation control on the simulation model is set; wherein, when performing operation control on the simulation model, the instruction model is set in the physical scene;

When the instruction identifier is obtained by analyzing the collected image information, the operation control of the simulation model is performed according to the instruction identifier obtained by analysis;

Wherein, the operation control includes one or more of the following state controls: start, pause, restart, stop.

Optionally, after the simulation model is established according to the image information of the collected physical scene, the construction method of the embodiment of the present invention further includes:

It is pre-set in the physical scene to display the simulation operation information during the operation of the simulation model.

Optionally, the simulation operation information in this embodiment of the present invention includes one or any of the following:

During the simulation operation, the scheduling animation information of storage resources deployed according to the scheduling strategy;

In the process of warehousing resource allocation, storage data information of warehousing resources;

The result of the simulation operation.

Optionally, in this embodiment of the present invention, the simulation operation information displayed during the simulation model operation includes:

When the simulation calculation information includes the scheduling animation information, determine the physical models involved in each time period when the storage resources are deployed according to the scheduling strategy; according to the determined physical models involved in each time period, and each of the physical models in The image coordinates in the coordinate system of the acquisition unit display the deployment process and the deployment path in the form of simulation animation on one or more associated physical models;

When the simulation operation information includes the stored data information, determine the physical model associated with the stored data information; display the stored data on the associated physical model according to the image coordinates of each physical model information;

When the simulation operation information includes the result of the simulation operation, the result of the simulation operation is displayed in a preset area of the operating surface.

Optionally, before displaying the simulation operation information during the simulation model operation, the construction method of the embodiment of the present invention further includes:

setting a position mark for coordinate determination on the operating table;

acquiring the location identifier from the image information;

Determine the image coordinates corresponding to the experimental system coordinates of each physical model according to the image coordinates of the position markers in the coordinate system of the acquisition unit and the preset experimental system coordinates corresponding to the position markers .

Optionally, before displaying the simulation operation information during the simulation model operation, the construction method of the embodiment of the present invention further includes:

When the projection device is projecting, determine the projection coordinates of the model logo on the operation table;

The projection position of the simulation operation information on the physical model is determined according to the image coordinates of the model identification and the determined projection coordinates.

The method of the embodiments of the present invention will be clearly and detailedly described below through application examples. The application examples are only used to illustrate the present invention, and are not intended to limit the protection scope of the present invention.

Application example

The application example of the present invention is based on augmented reality technologies such as image acquisition and projection display, and realizes information interaction, associating simulation calculation information with a physical model, and the like. It enables users to obtain a learning experience that is closer to the real scene. With the help of the processing of the simulation model, the experimental content is enriched, the flexibility of the experimental system is increased, and the difficulty of experimental program development is reduced. The augmented reality technology in related technologies mainly includes: augmented reality technology based on mobile handheld display, augmented reality technology based on wearable display, and augmented reality technology based on spatial display; Management learning requirements.

In the application example of the present invention, the user can enhance the user's hands-on ability through the construction of the physical scene, and improve the user's visual experience through the projection display of the simulation calculation information; through the command identification, the interactive experience of the experimental system is improved. The experimental system of warehousing and inventory management based on augmented reality effectively combines the advantages of simulation software and physical scenes, so that users can experience the actual decision-making process of warehousing and inventory management in the experimental environment and improve the learning effect.

The experimental system of storage and inventory management of the application example of the present invention includes: operating table, physical model, image acquisition device (for example, camera), processor (for example, computer mainframe) and the simulation unit that is arranged in processor, display unit (for example , projection device), bracket and other components; among them,

The operation table is used to: set the physical model according to the storage layout information; in this application example, since the operation platform is not only used to set the physical model, it is also used to set the storage layout information such as entrances and exits, forklift operation lanes and replenishment channels; In addition, the operating platform is also used to display simulation calculation information, so the operating table can be a projection display screen, or other materials that are conducive to information display; the physical model is used to: be set on the operating table to build a warehouse that meets the layout The required physical scene; the physical model of the application example of the present invention includes: a shelf model, a commodity model, a warehouse structure model and a production tool model; specifically, the physical model includes a shelf model, a commodity model, a warehouse structure model and a production tool model with different sizes etc.; physical models can be used to construct physical scenarios for learning warehousing and inventory management. In order to realize the establishment of the simulation model, a corresponding model identification is set on each physical model; the model identification is used to record some or all of the following attribute information of the physical model: experimental system coordinates, specifications, capacity and other information. The attribute information recorded by the model identification can be updated in real time according to the results of the simulation operation. It can also be adjusted according to changes in the simulation model. The application example of the present invention. The model identification can include pre-set coding information corresponding to each physical model; including but not limited to: digital coding, bar code, two-dimensional code and other coding information; through the model identification, the position, specification and Parameter information such as storage capacity used to establish the simulation model;

The image acquisition device is used to: collect image information including physical scenes; the performance of the image acquisition device can be determined according to the definition requirements for analyzing and processing the image information.

The processor is used to: analyze the collected image information, and determine the attribute information of each physical model;

A simulation model is established according to the determined attribute information of each physical model. Specifically, the simulation model is established according to the determined attribute information of each physical model and the preset storage strategy. Here, the warehousing strategy is a warehousing and inventory management strategy known to those skilled in the art, including but not limited to: inventory strategy, picking strategy, and capture strategy; after the embodiment of the present invention obtains the attribute information of the physical model, according to the attribute information and The preset warehousing strategy can use the existing simulation program in the related art to establish the above simulation model.

The display unit is used for: displaying the simulation operation information during the operation of the simulation model in the constructed physical scene. Simulation operation information may include some or all of the following information:

During the simulation operation, the scheduling animation information of storage resources deployed according to the scheduling strategy;

In the process of warehousing resource allocation, storage data information of warehousing resources;

The result of the simulation operation. Here, warehousing resource allocation includes goods scheduling and allocation processes such as picking and replenishing.

The display unit may be an execution unit with a projection device as the main body of implementation. When the projection device is used as the main body of implementation, when the simulation model performs simulation calculation, the simulation calculation information is displayed on the real scene through the projection device. specific:

When the simulation calculation information includes scheduling animation information, determine the physical models involved in each time period when the storage resources are deployed according to the scheduling strategy; according to the determined physical models involved in each time period, and the coordinates of each physical model in the acquisition unit The image coordinates in the system, the deployment process and the deployment path are displayed on one or more associated physical models in the form of simulation animation;

When the simulation calculation information includes the stored data information, determine the physical model associated with the stored data information; display the stored data information on the associated physical model according to the image coordinates of each physical model;

When the simulation operation information includes the result of the simulation operation, the operation result information is displayed in a preset area of the operation table.

In the embodiment of the present invention, before the physical scene is constructed, the storage layout information may also be displayed on another preset area of the operation table through a projection device.

The experimental system of the application example of the present invention also includes an instruction model, which can be used as a kind of physical model, and can exist as a card or other entity structure, and the instruction model is provided with an instruction identifier for operating and controlling the simulation model;

The processor is also used to analyze the collected image information, and obtain the instruction identifier set in the instruction model when it is determined that the image information contains the instruction model;

According to the obtained instruction identifier, the operation control of the simulation model is performed; here, the operation control may include: starting, pausing, restarting, stopping, and the like.

It should be noted that the instruction model in the embodiment of the present invention may include: a movable card or other physical model containing an image logo; when the embodiment of the present invention needs to control the running state, the corresponding instruction model is displayed on the acquisition unit and can be collected In the area; the collected image information contains the command identification, and after the command identification is recognized, the command to control the running state of the simulation model is obtained.

In the embodiment of the present invention, a position mark is provided on the operating table;

The processor is also used to: obtain the position identification from the image information; determine the experimental system coordinates of each physical model according to the image coordinates of the position identification in the coordinate system of the acquisition unit and the experimental system coordinates corresponding to the preset position identification Corresponding image coordinates; wherein, the experimental system coordinates include: the coordinates of the actual scene simulated by the simulation model. Specifically, after the position identification is set, the corresponding relationship between the coordinates of the operating table and the image coordinates; the corresponding relationship between the image coordinates and the experimental system coordinates; based on the above-mentioned corresponding management, the image coordinates corresponding to the experimental system coordinates of each physical model can be determined;

In order to display the simulation calculation information on the associated physical model, taking the image acquisition device as a camera as an example, the embodiments of the present invention need to determine the correspondence between the camera coordinate system (coordinate system of the acquisition unit) and the experimental system coordinates; The corresponding relationship with the coordinates of the experimental system;

The correspondence between the camera coordinate system and the experimental system coordinates can be determined in the following ways:

After the location mark is recognized by the camera, the image coordinates of the position mark are transmitted to the experimental system; for example, place the position mark on the four top corners of the operation table, obtain the coordinates of the position mark in the camera coordinate system, and determine the camera coordinate system by using the relative position relationship The mapping relationship with the coordinates of the experimental system.

In order to reduce the image coordinates that affect the location identification such as camera shaking, the application example of the present invention can determine the image coordinates through sampling processing; The upper right corner and the lower right corner are respectively provided with position marks. Taking the position mark in the upper left corner as an example, its image coordinates can be calculated by the following formula:

Among them, (X _i , Y _i ) is the image coordinate of the i-th sampling; N is the number of sampling times. According to the obtained camera coordinates of the four position marks, the relative position conversion can be performed according to the coordinate positions of the area lines below and to the left of the operating table, and the corresponding length and width of each grid. The conversion formula is shown in formula (2) and formula (3):

Among them, (x _tl ,y _tl ),(x _bl ,y _bl ),(x _tr ,y _tr ),(x _br ,y _br ) are respectively the upper left corner, the lower left corner, the upper right corner and the lower right corner. Coordinates in the camera coordinate system; are the coordinates of the left, right, upper and lower sides of the operating table in the camera coordinate system; Δx, Δy are the length and width of each unit grid in the operating table in the camera coordinate system, respectively. If the coordinates of an identification code in the camera coordinate system are known as (x, y), the experimental system coordinates (x′, y′) in the experimental system coordinate system can be calculated according to the following formula.

Among them, Δx' and Δy' are the length and width of each grid in the system coordinate system in the experimental operation area; x _l ' and y _b ' are the coordinates of the left and bottom sides of the experimental operation area in the system coordinate system .

After determining the image coordinates, in order to realize the accurate projection of the simulation calculation information, the application example processor of the present invention is also used for:

When the projection device is projecting, determine the projection coordinates of the model logo on the operating table;

According to the image coordinates of the model identification and the determined projection coordinates, the projection position of the simulation operation information on the physical model is determined.

Since each physical model has a certain height, and the position mark is set on the operating table, that is, the camera coordinate system is based on the bottom plane. In order to correctly identify the position of the physical model, it needs to be corrected according to the height of the physical model. The center of the camera coordinate system is the center point of the vertically projected position of the camera. For the convenience of correction, the center point of the coordinate system of the experimental system is also set as the center point of the vertical projection of the camera. Fig. 3 is the schematic diagram that the height of the experimental model is corrected by the embodiment of the present invention, as shown in Fig. 3, A is the position of the position mark in the actual three-dimensional coordinate system; A' is the position of the image taken by the position mark in the camera; A" is the position where the position mark is projected vertically onto the operating table. When identifying the position of the physical model, the position of A" should be used instead of A'.

According to the similarity theorem of triangles, formula (5) can be obtained

From this, you can get:

Among them, (x _A′ , y _A′ ) and (x _A″ , y _A″ ) are the coordinates of A′ and A″ in the camera coordinate system respectively; therefore, after obtaining A′ through the camera, the formula (6 ), to calculate the real position of the physical model.

In the embodiment of the present invention, the simulation operation information is projected onto the physical model of the physical scene, and the learning scene is closer to the actual production environment, which increases the user's sense of participation; enhances the sense of reality of the simulation operation; The parameters and models involved in the operation are adjusted to optimize the operation results of the simulation model.

In the application example of the present invention, the user can adjust the simulation parameters, experimental decision-making, etc. according to the displayed simulation calculation data, and improve the information adjustment efficiency in the learning process of storage and inventory management; at any stage of storage and inventory management scene layout, physical scene establishment, etc. The user can adjust the physical model according to the change of the strategy; such as changing the position of the shelf model, the position of the entrance and exit model, the position of the forklift model, etc., and changing the simulation parameters. The above adjustments can also be reflected in real time during the simulation operation process. The simulation model The extensibility and flexibility of the software have been improved, and the applicability of the simulation model has also been improved. The experimental interaction is realized through instruction identification, which avoids errors introduced by input devices such as mouse and keyboard, and simplifies the operation process; the display of simulation information on the operation table enables users to obtain computing information intuitively and in real time, which improves the user's awareness of warehousing and inventory management. Learning efficiency. The application example of the present invention saves equipment, site and management costs compared with the physical operation experiment system; compared with the simulation experiment system, it enhances the sense of reality and improves the visual experience.

Fig. 4 is the block diagram of the composition structure of the application example experimental system of the present invention, as shown in Fig. 4, operating surface, physical model, image acquisition device (as, camera), processor (as, computer mainframe) and be arranged in the processor Composition of simulation unit, display unit (such as projection device), bracket, etc.;

The projection device and the image acquisition device establish a communication connection with the processor, and the image information collected by the image acquisition device is analyzed and processed by the processor; the projection device receives simulation calculation information from the processor; the distribution positions of the processor, projection device and image acquisition device It can be set according to the size of the operating table, the user can set the relevant parameters of the image acquisition device according to the clarity of the model logo, and can set the relevant parameters of the projection device according to the display effect of the projection.

In the application example of the present invention, the drivers and software that need to be installed on the processor can be analyzed and configured by those skilled in the art. In the application example of the present invention, the processor that meets the performance requirements can be selected. Processors that meet the requirements of volume and cost can be selected according to the needs; the image acquisition device is used to collect image information containing physical scenes; image information includes: physical models with model identifications, instruction models with instruction identifications, and image information with The operation table of position identification, etc.; capture the physical model, model identification, instruction identification, etc. on the physical operation table. The image information collected by the image acquisition device is transmitted to the processor for analysis and processing; the projection device is mainly used for projection and display of simulation calculation information; the projection device can be selected according to the display size, cost and other requirements; the operation table can be a piece of white paper or A screen can also be other table tops that are convenient for placing physical models and displaying simulation calculation information; the size of the operating table in the application example of the present invention can be analyzed and determined by the size of the physical model, the scale of the physical model and the projected area. Generally, a 48-inch screen of 16:9 can be used as the operating table; the bracket is used to fix the processor, projection device and image acquisition device; The size of the operating table, the performance of the image acquisition device, and the performance of the projector are analyzed and determined; the above-mentioned system components can be connected or fixed through the existing connection structures in the related art.

The experimental system provided by the application example of the present invention simulates a warehouse and inventory management system, which simplifies the interactive operation. The management object set by the experimental system is the warehouse. A certain number of shelves are configured in the warehouse, and different types of goods are stored. Inventory management includes picking operations and replenishment operations. For the picking operation, the system will generate a certain number of orders according to certain rules, such as exponential distribution, each order may include one type of goods, or may include multiple types of goods, and the quantity of each kind of goods is variable . After the order is generated, the pick-up forklift will pick up the goods from the shelf according to the pick-up strategy set by the experimental system, and then transport them to the sorting table to complete the order service. For the replenishment operation, the experimental system issues a replenishment order according to a certain replenishment strategy; after the replenishment goods arrive, the replenishment forklift will transport the goods to the shelf according to a certain storage principle.

Assuming that there are 3 different types of goods stored in the warehouse, they are distinguished by different filling lines; for example, the geometric image filled with horizontal lines is goods 1, the geometric image filled with vertical lines is goods 2, and the geometric image filled with diagonal lines is goods 2. The geometric image is goods 3; there are three different types of shelves in the warehouse, and only one type of goods is placed on each shelf. In order to improve the display effect and realism of the experimental system; the orders used in the experimental system are randomly generated according to a certain distribution, and each order is composed of these three types of goods, but the number of each type of goods is not fixed. subject to a certain distribution. Referring to the area of the operating table, this application example sets a maximum of 12 goods for each order. For example, in an order, there will be 1 to 2 goods 1, and the number of goods 1 is evenly distributed from 1 to 2; there will be 1 to 4 goods 2, and the number of goods 2 is evenly distributed from 1 to 4; There will be 1 to 6 goods 3, and the number of goods 3 is a uniform distribution of 1 to 6. During an experiment, initially all the shelves were filled with the corresponding types of goods. After the order was randomly generated, the pick-up forklift carried out the pick-up operation according to the pick-up method defined by the user. The experimental system issues replenishment orders according to the inventory strategy set by the user. The priority of the replenishment order is higher than that of the pick-up order. Replenishment forklifts will give priority to serving replenishment orders. Application example of the present invention In order to improve the learning effect, the allocation process of the pick-up order and the replenishment order will be displayed vividly through simulation animation in the pick-up area and the replenishment area.

During the simulation calculation process, the decisions that need to be given mainly include the number of each type of shelves, the location of the shelves, the inventory strategy (inventory control method), and the picking operation method. The application example of the present invention, in the experimental system, two pick-up operations, the sowing method and the fruit-picking method, are set, and each pick-up operation mode corresponds to a different simulation calculation animation, and the user can intuitively see these two pick-up operations way of difference. Assuming that the replenishment strategy adopted by the experimental system is a periodic inventory inventory strategy for replenishment, an experiment is an inventory cycle; when the inventory cycle starts and ends the last inventory, the goods on the shelves are all replenished, and only go to the shelves during the cycle Pickups are made without replenishment, inventory is counted and replenished at the end of the cycle. Fig. 5 is a schematic diagram of the process of warehousing and inventory management in the application example of the present invention, as shown in Fig. 5, including:

Step 501, adding a position mark to the operation table;

Step 502, reading the image information of the set physical scene;

Step 503: When it is judged that the warehouse layout information in the image information is reasonable, the attribute information of each physical model is obtained; here, whether the warehouse layout information is reasonable or not can be judged by setting judgment standards based on relevant theories;

Step 504, establishing a simulation model and performing simulation operations;

Step 505, displaying simulation operation information.

The operating surface of the application example of the present invention can be divided into three display areas: the area for displaying warehouse layout information. Here, the display area for warehouse layout information can also be used to display other information of the experimental system, for example, to display the experimental guide; to display the simulation operation information. area, the simulation running information can be displayed in the specified area, or it can be displayed in the area where the associated physical model is located according to the position of the physical model associated with the simulation running information; the operation command area, the operation command area is used to place the instruction model, and the image information can be used to place the command model. When the instruction logo is collected in the application example of the present invention, the operation instruction corresponding to the instruction logo can also be projected and displayed in the area. After the experiment system is started, the display area of the warehouse layout information can display the experiment guide, which contains the warehouse layout information; the user sets the physical model in the display area of the simulation operation information according to the experiment guide, and constructs the physical scene; at the same time, the image acquisition device Start to capture the model identification of the physical model, the position identification of the operation table, etc.; the user can place a specific instruction model in the operation instruction area to control the progress of the experiment; for example, instructions such as experiment start, experiment pause, and experiment end, image acquisition After the device analyzes and obtains the instruction identifier, it executes the instruction and performs corresponding calculation processing.

Fig. 6 is a schematic diagram of the distribution of the operation table of the application example of the present invention. As shown in Fig. 6, the content of the experimental guide is displayed on the operation table, including storage layout information, and the storage layout information shows the distribution of the shelf model and the type and quantity of stored goods and other statistical information; the shelf model statistics are displayed after the construction of the physical scene is completed, and the statistical information such as the type and quantity of the goods are displayed during the picking and replenishment operations; The name of the pick-up operation or replenishment operation is displayed on the operation table, and the information involved in the simulation operation that needs to be understood by the user can be configured and displayed according to requirements.

The following uses the above operation table as an example to describe each part of the experimental system; among them, building a physical scene is the process of setting a physical model with a model logo on the operation table by the user; users can choose different physical models according to their needs, including But not limited to different types of shelf models, and the number of various types of shelf models; the storage layout information shows the position where the shelf model is set; Fig. 7 is a schematic diagram of the physical model set in the application example of the present invention, as shown in Fig. 7, the shelf model It can be placed according to the preset placement method, and the image acquisition device will automatically recognize the orientation of the model logo. Assuming that the experimental system takes the center position of the model mark as the position of the physical model, in order to facilitate positioning and reduce errors, when setting the physical model, the boundary of the physical model can be coincident with the boundary of the grid;

During the process of building a simulation model, the image acquisition device can continuously obtain the physical model set on the operating table. After the simulation software reads the image information obtained by the image acquisition device, it obtains the parameters for establishing the simulation model through the model identification and location identification. Information; the animation of the simulation process can be displayed on the operation table through the projection device; the user can adjust the warehouse layout to meet the requirements of the warehouse layout information;

During the simulation operation, the user can issue an instruction to start the simulation operation through the instruction mark; referring to related technologies, the experimental system will complete the road network modeling and perform path calculations to provide data support for the picking operation and replenishment operation.

Application example of the present invention In the road network modeling process, the entire warehouse storage area is represented by a grid matrix, for example, a 16*9 grid matrix can be used to represent it. Then use the corresponding two-dimensional array to represent the road network that forklifts pass through. At the time of initialization, there are no obstacles in the warehouse, which means that all elements in the two-dimensional array are 0; while in the stage of establishing the simulation model, the physical model is equivalent to a roadblock on the road network, which is equivalent to the elements corresponding to the shelves in the two-dimensional array It can be set to 1, forklifts are not allowed to pass. After completing the road network modeling, a two-dimensional array composed of 0 and 1 elements is obtained. Each element in the two-dimensional array can be understood as a node, 0 represents a passable point, and 1 represents an impassable point , find the shortest path from the start point to the end point through the algorithm. After the algorithm operation is completed, start from the end point and follow the parent node of each node to find the path back to the starting point, thus completing the path operation.

In order to reflect the impact of sorting methods on efficiency in the experiments of warehousing and inventory management, the experimental system of the embodiment of the present invention can provide a variety of sorting methods for users to choose; There are several sorting methods for users to choose. In the simulation calculation process, the difference between the two sorting algorithms is presented through the simulation animation; in order to further simplify the two sorting algorithms, the order and the number of different types of goods on the shelf during the sorting process, as well as the goods loaded on the forklift Type and other information are displayed in real time through simulation animation.

For the fruit-picking method, the experimental system started processing from the first order. It is set that the forklift can transport up to two goods at a time. In order to reduce the distance and time of the forklift, when picking up goods, the experimental system will give priority to the same forklift to pick up two kinds of goods of the same type. In the process of order task assignment, the experimental system can first select a forklift that is currently idle, and then dispatch a pick-up operation to it; among them, the pick-up operation of picking up two goods of the same type is prioritized. If the pick-up operations for 2 goods of the same type have been allocated, the pick-up operations can be arranged in the order of the order-type goods. At this time, the pick-up operation of the forklift may contain two different types of goods, or there may be only one goods. After arranging the pick-up operation for the forklift, the experimental system will designate the forklift to pick up the goods from the shelf closest to the exit and in stock according to the specific operation of the forklift. Once the forklift accepts the pick-up operation, the status of the forklift is updated to working, and after the forklift completes the pick-up operation, its status is updated to idle.

For the seeding method, the experimental system first merges a batch of orders into one order for preprocessing, and then arranges the pick-up operation for the forklift in the form of a large order. At the same time, in order to reflect the need for the forklift to return to the sorting table for the second sorting process, the unloading time of the forklift on the sorting table in the sowing method is twice that of the fruit picking method. At the same time, in the simulation animation, although the experimental system uniformly distributes multiple orders in the seeding method, after the forklift picks up the goods, the user can still clearly distinguish which order the goods picked up by the forklift belong to; Can clearly and intuitively understand the difference between different sorting methods through simulation animation.

The application example of the present invention assumes that what adopts in the experimental system is the benchmark inventory strategy of periodic stocktaking, and the benchmark inventory is the total amount of various types of goods after the shelves are all filled with corresponding types of goods, and the simulation experiment (simulation calculation) does not consider Replenishment lead time. At the beginning of each simulation experiment, the shelves are full of goods, which is equivalent to just finishing an inventory and replenishing the goods. Replenishment is not carried out during the processing of the pick-up order. After the pick-up order is processed, the replenishment will be carried out uniformly, and the goods on the shelves will be replenished again. In addition, because the experimental system can constantly detect the change of the number of goods in the warehouse, it has the basic conditions for continuous inventory.

The embodiment of the present invention starts to run the simulation animation when the simulation model is established. Before running each frame of simulation animation, it is necessary to detect whether the physical scene has changed; if the user changes the storage layout or the parameters of the simulation operation during the simulation operation, the simulation process must be stopped in time and the model must be rebuilt;

The application example of the present invention is used to control the simulation operation through the instruction mark. When the simulation operation is performed, the simulation operation information is projected to the set area; for example, the simulation operation information such as animation and simulation parameters is superimposed on the physical model. During the whole simulation operation process, the user can change the simulation model, stop the simulation, and readjust the position of the physical model. When the storage layout information or storage strategy changes, the experimental system will stop the simulation calculation and stop the output display of the simulation calculation information; after the establishment of the simulation model is completed again, the simulation calculation will be performed and the simulation calculation information will be output.

The simulation calculation data output by the experimental system can include the number of each type of shelf, the remaining quantity and out-of-stock quantity of each type of goods, and the average pick-up time of each goods in the pick-up order; The average pick-up time of each item is mainly to give a reference evaluation standard for different pick-up operations. The evaluation criteria are shown in Table 1, including cost, efficiency and user satisfaction.

Classification cost Ordering cost, logistics cost, holding cost, out-of-stock cost efficiency Logistics path length, number of completed orders, and replenishment times customer satisfaction Average stock, out-of-stock time

Table 1

The simulation operation information of the application example of the present invention is displayed and updated in real time on the operation table, and the user can obtain the operation information of the experimental system in real time.

The application example experimental system of the present invention can adopt ARToolkit (ARToolKit is the storehouse that a C/C++ language is written, can allow us to write augmented reality application program very easily by it.) Augmented reality (AR) is to cover the image of computer virtual to real In the world picture, this technology has great potential for development in both industry and theoretical research. In Unity 3D (Unity3D is developed by Unity Technologies, it allows players to easily create such as 3D video games, architectural visualization, real-time 3D animation, etc. It is a multi-platform comprehensive game development tool for interactive content, and it is completed on a fully integrated professional game engine platform.

A host that meets the performance requirements can be used as a processor; an industrial camera can be used as an image acquisition device; a projector can be selected according to cost and display requirements; a white screen can be used as the background for projection display, and the recommended screen size is 110 centimeters (cm) x 62cm ; Use 3030 aluminum profiles to build the bracket. According to the size of the curtain used and the focal length of the camera, the height of the bracket is about 1.6 meters and the width is 1.1 meters; the host is connected to the projector and the industrial camera through a data line; etc. can be realized by printing with three-dimensional printing technology.

Those of ordinary skill in the art can understand that all or part of the steps in the above method can be completed by instructing related hardware (such as a processor) through a program, and the program can be stored in a computer-readable storage medium, such as a read-only memory, magnetic disk or optical disk Wait. Optionally, all or part of the steps in the foregoing embodiments may also be implemented using one or more integrated circuits. Correspondingly, each module/unit in the above-mentioned embodiments can be implemented in the form of hardware, such as implementing its corresponding functions through an integrated circuit, or can be implemented in the form of software function modules, such as executing a program stored in a memory by a processor. programs/instructions to realize their corresponding functions. The present invention is not limited to any specific combination of hardware and software.

Although the embodiments disclosed in the present invention are as above, the described content is only an embodiment adopted for understanding the present invention, and is not intended to limit the present invention. Anyone skilled in the field of the present invention can make any modifications and changes in the form and details of the implementation without departing from the spirit and scope disclosed by the present invention, but the patent protection scope of the present invention must still be The scope defined by the appended claims shall prevail.

Claims (20)

1. A warehousing and inventory management laboratory system, comprising: the system comprises an acquisition unit and a simulation unit; wherein,

the acquisition unit is used for: acquiring image information of a pre-constructed real object scene;

the emulation unit is used for: and establishing a simulation model according to the acquired image information of the real object scene.

2. The assay system according to claim 1, further comprising a construction unit for:

according to the warehousing layout information, arranging an entity model on a preset operation table to construct the entity scene meeting the preset warehousing layout requirement;

the warehouse layout information comprises layout information formed by one or more of the following warehouses: shelf, commodity, warehouse architecture, production tools; the physical model comprises: a shelf model, a commodity model, a warehouse architecture model, and a production tool model.

3. The experimental system of claim 2, further comprising a model identification unit for setting corresponding model identifications on different physical models, respectively;

wherein the model identification of the physical model is used for recording the following part or all of attribute information of the physical model: coordinates, specifications and capacity of the experimental system.

4. The experimental system of claim 2, wherein the simulation unit comprises a model analysis module and a simulation module; wherein,

the model analysis module is to: analyzing the acquired image information to obtain the model identification on each physical model in the physical scene; determining attribute information of each physical model according to the model identification obtained by analysis;

the simulation module is used for: and establishing the simulation model according to the determined attribute information and a preset storage strategy.

5. The experimental system of claim 4, further comprising an instruction identification unit and an instruction analysis unit; wherein,

the instruction identification unit is to: setting an instruction identifier for controlling the operation of the simulation model on a preset instruction model; when the operation of the simulation model is controlled, the instruction model is arranged in the physical scene;

the instruction analysis unit is to: when the instruction identification is obtained by analyzing the acquired image information, the operation of the simulation model is controlled according to the instruction identification obtained by analyzing;

wherein, the operation control comprises one or more of the following state control: starting, pausing, restarting and stopping.

6. The assay system of any one of claims 2 to 5, further comprising a display unit for:

and displaying simulation operation information during simulation model operation in the real object scene.

7. The experimental system of claim 6, wherein the display unit is configured to display one or any several of the following simulation operation information during the simulation model operation in the constructed physical scene:

during simulation operation, the warehouse resources are dispatched according to a dispatching strategy to dispatch animation information;

in the process of allocating the warehousing resources, storing data information of the warehousing resources;

and simulating the operation result.

8. The experimental system of claim 6, wherein the display unit is configured to display simulation operation information in the constructed physical scene when the simulation model is operated by:

when the simulation operation information comprises the scheduling animation information, determining a physical model related to each time period for allocating the warehousing resources according to a scheduling strategy; displaying the allocated process and the allocated running path on one or more associated physical models in a simulation animation mode according to the determined physical models related to each time period and the image coordinates of each physical model in the coordinate system of the acquisition unit;

when the simulation operation information comprises the stored data information, determining an entity model associated with the stored data information; displaying the stored data information on the associated physical model according to the image coordinates of each physical model;

and when the simulation operation information comprises the simulation operation result, displaying the simulation operation result in a preset area of the operation table board.

9. The assay system of claim 8, further comprising a location identification unit and a location analysis unit; wherein,

the setting identification unit is further configured to: setting a position mark for determining coordinates on the operation table top;

the location analysis unit is configured to: acquiring the position identification from the image information; and determining the image coordinates corresponding to the experiment system coordinates of each physical model according to the image coordinates of the position marks in the coordinate system of the acquisition unit and the preset experiment system coordinates corresponding to the position marks.

10. The experimental system of claim 9, wherein the location analysis unit is further configured to:

when the projection device projects, determining the projection coordinates of the model identifier on the operation table top;

and determining the projection position of the simulation operation information on the physical model according to the image coordinate of the model identifier and the determined projection coordinate.

11. A construction method of a warehousing and inventory management experiment system is characterized by comprising the following steps:

acquiring image information of a pre-constructed real object scene;

and establishing a simulation model according to the acquired image information of the real object scene.

12. The construction method according to claim 11, wherein before the acquiring image information of the pre-constructed real object scene, the construction method further comprises:

according to the warehousing layout information, arranging an entity model on a preset operation table to construct the entity scene meeting the preset warehousing layout requirement;

the warehouse layout information comprises layout information formed by one or more of the following warehouses: shelf, commodity, warehouse architecture, production tools; the physical model comprises: a shelf model, a commodity model, a warehouse architecture model, and a production tool model.

13. The building method according to claim 12, wherein before the placing the physical model on the predetermined work surface, the building method further comprises:

respectively setting corresponding model identifications on different physical models;

wherein the model identification of the physical model is used for recording the following part or all of attribute information of the physical model: coordinates, specifications and capacity of the experimental system.

14. The construction method according to claim 12, wherein the building of the simulation model according to the image information of the collected real object scene comprises:

analyzing and obtaining the model identification arranged on each physical model from the acquired image information;

determining attribute information of each physical model according to the model identification obtained by analysis;

and establishing the simulation model according to the attribute information obtained by analysis and a preset storage strategy.

15. The construction method according to claim 14, wherein after acquiring the image information of the pre-constructed real object scene, the construction method further comprises:

setting an instruction identifier for controlling the operation of the simulation model on a preset instruction model; when the operation of the simulation model is controlled, the instruction model is arranged in the physical scene;

when the instruction identification is obtained by analyzing the acquired image information, the operation of the simulation model is controlled according to the instruction identification obtained by analyzing;

wherein, the operation control comprises one or more of the following state control: starting, pausing, restarting and stopping.

16. The construction method according to any one of claims 12 to 15, wherein after the simulation model is built according to the image information of the acquired real object scene, the construction method further comprises:

and the simulation operation information is preset in the real object scene and is displayed when the simulation model is operated.

17. The construction method according to claim 16, wherein the simulation operation information includes one or any of the following:

during simulation operation, the warehouse resources are dispatched according to a dispatching strategy to dispatch animation information;

in the process of allocating the warehousing resources, storing data information of the warehousing resources;

and simulating the operation result.

18. The building method according to claim 16, wherein the displaying simulation operation information in the simulation model operation includes:

when the simulation operation information comprises the scheduling animation information, determining a physical model related to each time period for allocating the warehousing resources according to a scheduling strategy; displaying the allocated process and the allocated running path on one or more associated physical models in a simulation animation mode according to the determined physical models related to each time period and the image coordinates of each physical model in the coordinate system of the acquisition unit;

when the simulation operation information comprises the stored data information, determining an entity model associated with the stored data information; displaying the stored data information on the associated physical model according to the image coordinates of each physical model;

and when the simulation operation information comprises the simulation operation result, displaying the simulation operation result in a preset area of the operation table board.

19. The building method according to claim 18, wherein before displaying simulation operation information in the simulation model operation, the building method further comprises:

setting a position mark for determining coordinates on the operation table top;

acquiring the position identification from the image information;

and determining the image coordinates corresponding to the experiment system coordinates of each physical model according to the image coordinates of the position marks in the coordinate system of the acquisition unit and the preset experiment system coordinates corresponding to the position marks.

20. The method according to claim 19, wherein before displaying simulation operation information in the simulation model operation, the method further comprises:

when the projection device projects, determining the projection coordinates of the model identifier on the operation table top;

and determining the projection position of the simulation operation information on the physical model according to the image coordinate of the model identifier and the determined projection coordinate.