Logistics warehouse management method and system based on digital twinning

Abstract

The invention relates to the technical field of warehouse management, and particularly discloses a logistics warehouse management method and system based on digital twinning, and the method comprises the steps: determining the environment controllability of each storage space according to the installation information of environment control equipment; receiving a storage task which is input by a user and contains demand characteristics, and matching a storage space according to the demand characteristics; visual information of goods is obtained in real time based on cameras installed in the storage spaces, and storage change information of each storage space is determined according to the visual information; determining the similarity of different storage spaces based on the storage change information, and clustering the storage spaces according to the similarity; and creating a digital twin model based on the BIM model and the clustering result. Visual information of different storage spaces is compared, enough similar storage spaces are marked, so that managers can visually and preliminarily know historical data, and whether corresponding content needs to be reviewed or not is selected on the basis of the historical data.

Description

Technical Field

[0001] The present invention relates to the technical field of warehouse management, and specifically to a logistics warehouse management method and system based on digital twins. Background Art

[0002] Logistics warehousing management refers to the effective management and control of materials in the warehouse to ensure that the storage, transportation, distribution and other processes of goods are smooth, accurate and efficient. It is an important part of supply chain management, involving the comprehensive management of inventory, orders, goods in and out, inventory cycles, storage environment and other aspects.

[0003] The most important part of logistics warehousing management is the monitoring process of cargo information. The existing monitoring process mostly relies on monitoring equipment, which is then monitored in real time by management personnel. Management personnel will hardly review the monitoring content unless necessary, which makes the monitoring process of management personnel somewhat superficial. In fact, the monitored information contains a lot of content. How to explore the potential meaning of the monitoring process is the technical problem that the technical solution of the present invention wants to solve. Summary of the invention

[0004] The purpose of the present invention is to provide a logistics warehousing management method and system based on digital twins to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A logistics warehousing management method based on digital twins, the method comprising:

[0007] Obtain the BIM model of the logistics warehouse, locate the storage space in the BIM model, and simultaneously obtain the environmental control equipment installed in the storage space;

[0008] Determine the environmental controllability of each storage space based on the installation information of the environmental control equipment;

[0009] Receive a storage task with demand characteristics input by a user, and match storage space according to the demand characteristics; the demand characteristics include demand controllability, demand space quantity and demand convenience; the demand convenience is used to determine the location of the selected storage space;

[0010] Based on the camera installed in the storage space, the visual information of the goods is obtained in real time, and the storage change information of each storage space is determined according to the visual information; the storage change information adopts the volume that changes with time;

[0011] Determine the similarity of different storage spaces based on storage change information, and cluster the storage spaces according to the similarity;

[0012] Create a digital twin model based on the BIM model and clustering results.

[0013] As a further solution of the present invention: The step of determining the environmental controllability of each storage space according to the installation information of the environmental control equipment includes:

[0014] Query the installation location and equipment parameters of each environmental control equipment; the equipment parameters include the rated working range;

[0015] Count the environmental control equipment in each storage space according to the installation location and equipment parameters of each environmental control equipment;

[0016] Determine the environmental controllability according to the equipment parameters of the environmental control equipment in each storage space;

[0017] The process of determining the environmental controllability is as follows:

[0018] In the formula, H represents the environmental controllability, N represents the total number of environmental control equipment, Y i represents the right endpoint value of the rated working range of the i-th environmental control equipment, Y i represents the right endpoint value of the rated working range of the i-th environmental control equipment, α i represents the weight corresponding to the i-th environmental control equipment.

[0019] As a further solution of the present invention: The step of receiving the storage task containing demand characteristics input by the user and matching the storage space according to the demand characteristics includes:

[0020] Receive the storage task containing demand controllability, demand space quantity and demand convenience input by the user;

[0021] Judge the task type based on the historical storage tasks; the task types include two types: existing tasks and new tasks;

[0022] When the task type is an existing task, query the storage space in the historical storage tasks as the final storage space;

[0023] When the task type is a new task, determine the matching degree between the storage task and each idle storage space based on the demand controllability, demand space quantity and demand convenience, and select the final storage space according to the matching degree; among them, the idle storage space refers to the storage space that has not executed the storage task.

[0024] As a further solution of the present invention: The step of, when the task type is a new task, determining the matching degree between the storage task and each idle storage space based on the demand controllability, demand space quantity and demand convenience, and selecting the final storage space according to the matching degree includes:

[0025] Locate idle storage space in real time and calculate the convenience degree of the space according to the location of the storage space;

[0026] Query the carrying capacity of the idle storage space;

[0027] Compare the demand controllability, required space volume, and demand convenience degree of the storage task with the environmental controllability, carrying capacity, and space convenience degree of the storage space to determine the final storage space.

[0028] As a further solution of the present invention: The steps of determining the similarity of different storage spaces based on the storage change information and clustering the storage spaces according to the similarity include:

[0029] Perform Fourier transform on the storage change information to obtain a frequency domain diagram;

[0030] Compare the frequency domain diagrams of any two storage spaces and calculate the similarity;

[0031] Cluster the storage spaces according to the similarity.

[0032] As a further solution of the present invention: The steps of creating a digital twin model based on the BIM model and the clustering result include:

[0033] Use the BIM model as the basic twin model;

[0034] Read the total number of categories of the storage space, and determine the display parameters of each category of storage space according to the total number;

[0035] Insert the display parameters into the basic twin model to obtain a digital twin model;

[0036] Among them, the display parameters of each storage space are recorded in real time, and warning information pointing to the storage space is generated according to the change situation of the display parameters.

[0037] The technical solution of the present invention also provides a logistics warehousing management system based on digital twins. The system includes:

[0038] A facility query module for obtaining the BIM model of the logistics warehouse, locating the storage space in the BIM model, and synchronously obtaining the environmental control equipment installed in the storage space;

[0039] A controllability calculation module for determining the environmental controllability of each storage space according to the installation information of the environmental control equipment;

[0040] A storage space matching module for receiving a storage task containing demand characteristics input by the user and matching the storage space according to the demand characteristics; the demand characteristics include demand controllability, required space volume, and demand convenience degree; the demand convenience degree is used to determine the location of the selected storage space;

[0041] A change information determination module, configured to obtain visual information of goods in real time based on cameras installed in a storage space, and determine storage change information of each storage space according to the visual information; the storage change information is a volume that changes over time;

[0042] A storage space clustering module, configured to determine the similarity of different storage spaces based on the storage change information, and cluster the storage spaces according to the similarity;

[0043] A model creation module, configured to create a digital twin model based on a BIM model and the clustering result.

[0044] As a further solution of the present invention: the controllability calculation module includes:

[0045] A device information query unit, configured to query the installation location and device parameters of each environmental control device; the device parameters include a rated working range;

[0046] A device statistics unit, configured to count the environmental control devices in each storage space according to the installation location and device parameters of each environmental control device;

[0047] A calculation execution unit, configured to determine the environmental controllability according to the device parameters of the environmental control devices in each storage space;

[0048] The process of determining the environmental controllability is as follows:

[0049] In the formula, H represents the environmental controllability, N represents the total number of environmental control devices, Y i represents the right endpoint value of the rated working range of the i-th environmental control device, Y i represents the right endpoint value of the rated working range of the i-th environmental control device, α i represents the weight corresponding to the i-th environmental control device.

[0050] As a further solution of the present invention: the storage space clustering module includes:

[0051] A frequency domain conversion unit, configured to perform Fourier transform on the storage change information to obtain a frequency domain diagram;

[0052] A similarity calculation unit, configured to compare the frequency domain diagrams of any two storage spaces and calculate the similarity;

[0053] A clustering execution unit, configured to cluster the storage spaces according to the similarity.

[0054] As a further solution of the present invention: the model creation module includes:

[0055] A basic model generation unit, configured to use the BIM model as a basic twin model;

[0056] A display parameter determination unit for reading the total number of categories of storage spaces and determining the display parameters for each category of storage space according to the total number of categories;

[0057] A display parameter insertion unit for inserting the display parameters into the basic twin model to obtain a digital twin model;

[0058] Among them, the display parameters of each storage space are recorded in real time, and a warning message pointing to the storage space is generated according to the change situation of the display parameters.

[0059] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention obtains visual information through a visual monitoring device and constructs a digital twin model based on the visual information, optimizing the display effect of the visual information and simplifying the content. Compared with traditional videos, the digital twin model after simplification has less information volume, ensuring the privacy of on-site data on the one hand and reducing the viewing pressure on the other hand; at the same time, the visual information of different storage spaces is compared, and the storage spaces that are similar enough are marked, enabling the management personnel to intuitively and preliminarily understand the historical data and on this basis select whether to view the corresponding content. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention.

[0061] Figure 1 It is a flowchart of a logistics warehousing management method based on digital twins.

[0062] Figure 2 It is a first sub-flowchart of a logistics warehousing management method based on digital twins.

[0063] Figure 3 It is a second sub-flowchart of a logistics warehousing management method based on digital twins.

[0064] Figure 4 It is a third sub-flowchart of a logistics warehousing management method based on digital twins.

[0065] Figure 5 It is a fourth sub-flowchart of a logistics warehousing management method based on digital twins.

[0066] Figure 6 It is a block diagram of the composition structure of a logistics warehousing management system based on digital twins. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0067] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0068] Figure 1 As a flowchart of a logistics warehousing management method based on digital twin, in an embodiment of the present invention, a logistics warehousing management method based on digital twin, the method includes:

[0069] Step S100: Obtain the BIM model of the logistics warehouse, locate the warehousing space in the BIM model, and synchronously obtain the environmental control equipment installed in the warehousing space;

[0070] A logistics warehouse is generally a building for storing objects to be warehoused. Existing building data is generally stored in the form of a BIM model. By obtaining the BIM model of the logistics warehouse and analyzing and identifying the BIM model, the warehousing space can be located. The warehousing space can be understood as each small warehousing unit in the logistics warehouse, such as a warehousing room. When creating the BIM model, not only building data will be recorded, but also some equipment information will be filled. The equipment information is the environmental control equipment mentioned above. The full name of the environmental control equipment is environmental control equipment, including air conditioners and air regulators, etc. It is generally installed in different warehousing spaces. In the BIM model, it can be quickly queried which warehousing space the environmental control equipment is installed in, specifically where it is installed, and what the model and parameters of the installed environmental control equipment are.

[0071] Step S200: Determine the environmental controllability of each warehousing space according to the installation information of the environmental control equipment;

[0072] The installation information of the environmental control equipment includes the installation location, model and its parameters. According to the installation information of the environmental control equipment, it can be determined which environmental control equipment is in each warehousing space and what their models and parameters are. Thus, the environmental controllability of each warehousing space can be calculated. The environmental controllability is used to characterize the manipulability of the environment in the warehousing space. The more environmental control equipment there is and the better its performance, the higher the environmental controllability.

[0073] In an example of the technical solution of the present invention, Figure 2 As the first sub-flowchart of the logistics warehousing management method based on digital twin, the step of determining the environmental controllability of each warehousing space according to the installation information of the environmental control equipment includes:

[0074] Step S201: Query the installation location and equipment parameters of each environmental control equipment; the equipment parameters include the rated working range;

[0075] Step S202: Count the environmental control devices in each storage space according to the installation locations and device parameters of each environmental control device;

[0076] Step S203: Determine the environmental controllability according to the device parameters of the environmental control devices in each storage space;

[0077] The above content specifically describes the analysis process of the environmental controllability of the storage space. Query the installation location and device parameters of each environmental control device. The installation location is where the environmental control device is installed, and the device parameter is the rated working range of the environmental control device. If the environmental control device is an air conditioner, the device parameter can be the temperature range. Then, taking the storage space as a unit, count the environmental control devices in each storage space, and the environmental controllability can be calculated according to the device parameters of the environmental control devices.

[0078] The process of determining the environmental controllability is as follows:

[0079] In the formula, H represents the environmental controllability, N represents the total number of environmental control devices, Y i represents the right endpoint value of the rated working range of the i-th environmental control device, Y represents the right endpoint value of the rated working range of the i-th environmental control device, and α i represents the weight corresponding to the i-th environmental control device.

[0080] Among them, the α i can also be set as an increasing function of (Y i -Z i ), such as exponential functions and power functions, etc., indicating that the larger the rated working range, the greater the corresponding weight.

[0081] Step S300: Receive a storage task containing demand characteristics input by the user, and match the storage space according to the demand characteristics; the demand characteristics include demand controllability, demand space volume, and demand convenience; the demand convenience is used to determine the location of the selected storage space;

[0082] The user refers to the person who needs to store goods. Receive the storage task input by the user, and at the same time receive the demand characteristics input by the user. The demand characteristics reflect the conditions required by the user when storing goods. Compare with each storage space according to the demand characteristics to match a suitable storage space. Specifically, the comparison process mainly considers the environmental controllability, the available storage volume of the storage space, and the location of the storage space, and compares them with the respective parameters in the demand characteristics.

[0083] In an example of the technical solution of the present invention, Figure 3This is the second sub - process block diagram of the logistics warehousing management method based on digital twin. The steps of receiving a warehousing task containing demand characteristics input by the user and matching the warehousing space according to the demand characteristics include:

[0084] Step S301: Receive a warehousing task input by the user that contains demand controllability, demand space volume, and demand convenience.

[0085] Step S302: Judge the task type based on historical warehousing tasks; the task types include two types: existing tasks and new tasks.

[0086] Step S303: When the task type is an existing task, query the warehousing space in the historical warehousing tasks as the final warehousing space.

[0087] Step S304: When the task type is a new task, determine the matching degree between the warehousing task and each idle warehousing space based on demand controllability, demand space volume, and demand convenience, and select the final warehousing space according to the matching degree; among them, the idle warehousing space refers to the warehousing space where no warehousing task has been executed.

[0088] The above content provides a specific matching scheme, which allocates different warehousing spaces for different warehousing tasks. Receive a warehousing task input by the user that contains demand controllability, demand space volume, and demand convenience, and analyze the received warehousing task with the help of historical warehousing tasks to judge whether the current warehousing task is an existing task or a new task. When the task type is an existing task, query the warehousing space in the historical warehousing tasks as the final warehousing space; when the task type is a new task, determine the matching degree between the warehousing task and each idle warehousing space based on demand controllability, demand space volume, and demand convenience, and select the final warehousing space according to the matching degree; among them, the idle warehousing space refers to the warehousing space where no warehousing task has been executed.

[0089] Specifically, the steps of when the task type is a new task, determining the matching degree between the warehousing task and each idle warehousing space based on demand controllability, demand space volume, and demand convenience, and selecting the final warehousing space according to the matching degree include:

[0090] Real - time locate the idle warehousing space and calculate the space convenience based on the location of the warehousing space.

[0091] Query the carrying capacity of the idle warehousing space.

[0092] Compare the demand controllability, demand space volume, and demand convenience of the warehousing task with the environmental controllability, carrying capacity, and space convenience of the warehousing space to determine the final warehousing space.

[0093] Among them, the determination process of the space convenience of the warehousing space is:

[0094] Query the entrances and exits of the storage space and the logistics warehouse to determine the shortest transportation path;

[0095] Read the distance of the shortest transportation path and determine the space convenience according to the distance; the space convenience is inversely proportional to the distance.

[0096] The process of comparing the demand controllability, demand space volume, and demand convenience of the storage task with the environmental controllability, carrying capacity, and space convenience of the storage space to determine the final storage space is as follows:

[0097] Calculate the matching degree between the storage task and each storage space;

[0098] Select the storage space with the largest matching degree as the final storage space;

[0099] The calculation process of the matching degree is as follows:

[0100] In the formula, P represents the matching degree, β1, β2, and β3 respectively represent preset correction coefficients, A1 and A2 respectively represent the demand controllability and environmental controllability, B1 and B2 respectively represent the demand space volume and carrying capacity, and C1 and C2 respectively represent the demand convenience and space convenience.

[0101] Regarding the above content, there are two points to note. The first is the transportation path in the shortest transportation path. It refers to the navigation path from the entrance and exit of the storage space to the entrance and exit of the logistics warehouse. It is not the absolute distance between two points, but the path limited to the passable area; the meaning of the shortest is that the entrance and exit of the storage space may not be unique, and there may be multiple entrances and exits of the logistics warehouse. In addition, there may be multiple transportation paths between every two entrances and exits. Therefore, a large number of transportation paths are obtained, and the shortest movement path can be selected from these transportation paths.

[0102] The second point is that the above matching process actually takes into account the demand space volume and carrying capacity, which also means that the storage tasks can be not classified. That is, multiple items can be stored in the same storage space. When each storage task is received, it can be directly matched; in the matching process, a fourth item β4D can also be introduced, where β4 is a preset correction coefficient, and D represents the quantity of goods in the storage space that is the same as the goods of the storage task, so that the same goods are stored in the same storage space as much as possible.

[0103] Step S400: Based on the camera installed in the storage space, obtain the visual information of the goods in real time, and determine the storage change information of each storage space according to the visual information; the storage change information uses the volume that changes with time.

[0104] In the actual warehousing process, visual information of goods is obtained in real time based on cameras installed in the warehousing space. The visual information can be understood as a video (image set). By identifying the video, warehousing objects can be located. Each image in the video corresponds to a time frame. Therefore, the located warehousing objects are also the positioning results at each moment. By analyzing the positioning results, the volume of the goods at each moment can be obtained as warehousing change information. The advantage of using volume in this application is that there is no need to use pressure sensors to obtain weight. Although using pressure sensors to obtain weight seems more convenient, it is not the case. In addition to the load-bearing range and accuracy issues of pressure sensors, there is another problem. The goods are not a whole. To obtain the weight, a very large number of pressure sensors must be laid. The detection data of these pressure sensors are very likely to be different. Therefore, the obtained weight is actually a weight matrix. The more pressure sensors there are, the larger the weight matrix, and the more accurate the obtained detection result. This process is actually very troublesome. In this application, weight is replaced by volume. By using the existing cameras (infrastructure for protecting goods) to obtain videos and then introducing some existing simple positioning algorithms, the volume of the goods can be obtained with extremely high efficiency, and there is no need to introduce additional monitoring devices (such as a large number of pressure sensors), nor to consider the data transmission problems of a large number of monitoring devices.

[0105] Step S500: Determine the similarity of different warehousing spaces based on the warehousing change information, and cluster the warehousing spaces according to the similarity.

[0106] Combined with the above content, it can be known that the warehousing change information is the volume change situation of the goods. By analyzing the volume change situation, warehousing spaces with similar change situations can be classified into one category. The parameter for judging whether warehousing spaces are similar is the similarity value, and the warehousing spaces are clustered according to the similarity.

[0107] In an example of the technical solution of the present invention, the comparison process of the warehousing change information is described. Figure 4 It is the third sub-process block diagram of the logistics warehousing management method based on digital twin. The steps of determining the similarity of different warehousing spaces based on the warehousing change information and clustering the warehousing spaces according to the similarity include:

[0108] Step S501: Perform Fourier transform on the warehousing change information to obtain a frequency domain graph.

[0109] Step S502: Compare the frequency domain graphs of any two warehousing spaces and calculate the similarity.

[0110] Step S503: Cluster the warehousing spaces according to the similarity.

[0111] The key point of this application for comparing warehouse change information lies in comparing the frequency components of the warehouse change information. Frequency and period are homologous. For two functions with the same frequency, their periods are also the same. Therefore, perform Fourier transform on the warehouse change information of each warehouse space to obtain a frequency domain graph. For two warehouse spaces to be compared, compare the frequency domain graphs of the warehouse change information of the warehouse spaces, and the similarity can be calculated. This similarity actually represents the similarity of the change periods. Based on the similarity, cluster the warehouse spaces, and the warehouse spaces with similar change periods can be grouped into one category; in other words, for the final warehouse spaces in the same category, the change periods of the goods therein are similar.

[0112] Step S600: Create a digital twin model based on the BIM model and the clustering result;

[0113] The BIM model itself has an intuitive display function. Read the BIM model, insert the goods models into each warehouse space in the BIM model according to the recognition result of the visual information, and display them; on this basis, this application displays the warehouse spaces in the same category with the same color value parameters, so that viewers can clearly observe the relationship between the goods in each warehouse space and the change process of the goods in each warehouse space. The final displayed content is called a digital twin model; actually, a simplification step can also be introduced between the BIM model and the digital twin model to blur the details in the BIM model. Use standard shapes (such as rectangles) to represent each warehouse space, use standard shapes (such as rectangles) to represent each good, and then insert color value parameters therein. At this time, the final model obtained is very simple, just the stacking and display of some rectangular blocks. On the one hand, it encrypts the building data, and on the other hand, it simplifies the model.

[0114] In an example of the technical solution of the present invention, the final display process is specifically defined, and the final display process is also the creation process of the digital twin model. Figure 5 It is the fourth sub-process block diagram of the logistics warehouse management method based on digital twins. The steps of creating a digital twin model based on the BIM model and the clustering result include:

[0115] Step S601: Use the BIM model as the basic twin model;

[0116] Step S602: Read the total number of categories of warehouse spaces, and determine the display parameters of each category of warehouse spaces according to the total number;

[0117] Step S603: Insert the display parameters into the basic twin model to obtain a digital twin model.

[0118] Taking the BIM model as the basic twin model, for each storage space, read the clustering result to determine the total number of categories. Since the number of storage spaces is limited, usually a two-digit or single-digit number, the number of categories must be less than the number of storage spaces. Therefore, the number of categories is generally small. Determine the display parameters for each category of storage space according to the number of categories, and insert the display parameters into the basic twin model to obtain the digital twin model.

[0119] A relatively simple way to determine the display parameters is to set the display parameters as the values in the HSV color value space, set both the S value and the V value to default values. Then, there are 256 possible values for the H value. Dividing 256 by the number of categories can obtain the H value corresponding to each category of storage space. The meaning of the H value itself is hue, and different H values correspond to different colors, thus displaying different categories of storage spaces in different colors. Specifically, regarding the assignment order, arrange the H values from small to large, then query the storage space closest to the preset origin in each category of storage space, and sort each category of storage space according to the distance between the storage space and the origin. At this time, there is an order for the H values, and there is also an order between different categories of storage spaces. Just make them correspond one by one and assign values.

[0120] It should be noted that the above content is actually only suitable for the case of a small number of categories. When the number of categories is large, the differences in the S value and the V value need to be introduced. The number of types that the H value, S value, and V value can represent is extremely large, far greater than the number of storage spaces, and even far greater than the number of categories of storage spaces. However, in some particularly large logistics warehouses, the number of storage spaces may reach three digits. At this time, it can be segmented among the three parameters of the H value, S value, and V value to determine the final display process. Of course, there is also a solution, which is to reduce the clustering standard in step S503. That is, in the clustering process, a similarity threshold is generally set so that the similarity between any two data in each category of data is greater than the similarity threshold. When the similarity threshold is reduced, storage spaces that are slightly similar can be grouped into one category, and the number of storage spaces in each category will increase, thus reducing the number of categories.

[0121] As a preferred embodiment of the technical solution of the present invention, the display parameters of each storage space are recorded in real time, and a warning message pointing to the storage space is generated according to the change situation of the display parameters. The change situation of the display parameters mainly refers to the mutation phenomenon. If the display parameters of a certain storage space change suddenly, it means that its clustering result has changed. At this time, it needs to be highlighted and reported to the administrator. This mutation does not necessarily mean that there is a problem, but only needs to be highlighted for the administrator to conduct manual investigation. This is essentially a mild anomaly detection process for discovering some storage spaces that may have problems among multiple storage spaces.

[0122] As a preferred embodiment of the technical solution of the present invention,Figure 6 It is a block diagram of the composition structure of a logistics warehousing management system based on digital twin. In an embodiment of the present invention, a logistics warehousing management system based on digital twin, the system 10 includes:

[0123] A facility query module 11, configured to obtain the BIM model of the logistics warehouse, locate the storage space in the BIM model, and synchronously obtain the environmental control equipment installed in the storage space;

[0124] A controllability calculation module 12, configured to determine the environmental controllability of each storage space according to the installation information of the environmental control equipment;

[0125] A storage space matching module 13, configured to receive a storage task containing demand characteristics input by a user, and match the storage space according to the demand characteristics; the demand characteristics include demand controllability, demand space quantity, and demand convenience; the demand convenience is used to determine the location of the selected storage space;

[0126] A change information determination module 14, configured to obtain the visual information of the goods in real time based on the cameras installed in the storage space, and determine the storage change information of each storage space according to the visual information; the storage change information is the volume that changes with time;

[0127] A storage space clustering module 15, configured to determine the similarity of different storage spaces based on the storage change information, and cluster the storage spaces according to the similarity;

[0128] A model creation module 16, configured to create a digital twin model based on the BIM model and the clustering result.

[0129] Further, the controllability calculation module 12 includes:

[0130] An equipment information query unit, configured to query the installation location and equipment parameters of each environmental control equipment; the equipment parameters include the rated working range;

[0131] An equipment statistics unit, configured to count the environmental control equipment in each storage space according to the installation location and equipment parameters of each environmental control equipment;

[0132] A calculation execution unit, configured to determine the environmental controllability according to the equipment parameters of the environmental control equipment in each storage space;

[0133] The process of determining the environmental controllability is:

[0134] In the formula, H represents the environmental controllability, N represents the total number of environmental control equipment, Y i represents the right endpoint value of the rated working range of the i-th environmental control equipment, Y i represents the right endpoint value of the rated working range of the i-th environmental control equipment, αi It represents the weight corresponding to the i-th environmental control device.

[0135] Specifically, the warehouse space clustering module 15 includes:

[0136] A frequency domain conversion unit for performing Fourier transform on the warehouse change information to obtain a frequency domain graph;

[0137] A similarity calculation unit for comparing the frequency domain graphs of any two warehouse spaces and calculating the similarity;

[0138] A clustering execution unit for clustering the warehouse spaces according to the similarity.

[0139] Furthermore, the model creation module 16 includes:

[0140] A basic model generation unit for using the BIM model as the basic twin model;

[0141] A display parameter determination unit for reading the total number of categories of warehouse spaces and determining the display parameters for each category of warehouse spaces according to the total number;

[0142] A display parameter insertion unit for inserting the display parameters into the basic twin model to obtain a digital twin model;

[0143] Among them, the display parameters of each warehouse space are recorded in real time, and warning information pointing to the warehouse space is generated according to the change situation of the display parameters.

[0144] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A logistics warehousing management method based on digital twins, characterized in that: The method comprises: Obtain the BIM model of the logistics warehouse, locate the storage space in the BIM model, and simultaneously obtain the environmental control equipment installed in the storage space; Determine the environmental controllability of each storage space based on the installation information of the environmental control equipment; Receive a storage task with demand characteristics input by a user, and match storage space according to the demand characteristics; the demand characteristics include demand controllability, demand space quantity and demand convenience; the demand convenience is used to determine the location of the selected storage space; Based on the camera installed in the storage space, the visual information of the goods is obtained in real time, and the storage change information of each storage space is determined according to the visual information; the storage change information adopts the volume that changes with time; Determine the similarity of different storage spaces based on storage change information, and cluster the storage spaces according to the similarity; Create a digital twin model based on the BIM model and clustering results.

2. The logistics warehousing management method based on digital twin according to claim 1 is characterized in that: The step of determining the environmental controllability of each storage space according to the installation information of the environmental control equipment includes: Query the installation location and equipment parameters of each environmental control device; the equipment parameters include the rated working range; Count the environmental control devices in each storage space based on their installation locations and equipment parameters; Determine the degree of environmental controllability based on the equipment parameters of the environmental control equipment in each storage space; The process of determining the environmental controllability is as follows: In the formula, H represents the controllability of the environment, N represents the total number of environmental control equipment, and Y i Indicates the right endpoint value of the rated working range of the i-th environmental control device, Y i represents the right endpoint value of the rated working range of the ith environmental control device, and α represents the weight corresponding to the ith environmental control device.

3. The logistics warehousing management method based on digital twin according to claim 1 is characterized in that: The step of receiving a storage task with demand characteristics input by a user and matching storage space according to the demand characteristics comprises: Receive a storage task inputted by a user, including a required controllability, a required space quantity, and a required convenience; Determine the task type based on historical storage tasks; the task type includes existing tasks and new tasks; When the task type is an existing task, query the storage space in the historical storage tasks as the final storage space; When the task type is a new task, the matching degree between the storage task and each free storage space is determined based on the demand controllability, required space quantity and required convenience, and the final storage space is selected according to the matching degree; among which, the free storage space refers to the storage space where the storage task has not been executed.

4. The logistics warehousing management method based on digital twin according to claim 3 is characterized in that: When the task type is a new task, the matching degree between the storage task and each free storage space is determined based on the controllability of the demand, the required space quantity and the convenience of the demand, and the step of selecting the final storage space according to the matching degree includes: Locate free storage space in real time and calculate the space convenience based on the location of the storage space; Query the carrying capacity of free storage space; Compare the demand controllability, space requirement and convenience requirement of the warehousing task with the environmental controllability, carrying capacity and space convenience of the storage space to determine the final storage space.

5. The logistics warehousing management method based on digital twin according to claim 1 is characterized in that: The step of determining the similarity of different storage spaces based on the storage change information and clustering the storage spaces according to the similarity comprises: Perform Fourier transform on the storage change information to obtain the frequency domain graph; Compare the frequency domain graphs of any two storage spaces and calculate the similarity; The storage spaces are clustered according to the similarity.

6. The logistics warehousing management method based on digital twin according to claim 1 is characterized in that: The steps of creating a digital twin model based on the BIM model and the clustering results include: Use the BIM model as the basic twin model; Read the total number of categories of storage space, and determine the display parameters of each category of storage space according to the total number of categories; Insert the display parameters into the basic twin model to obtain the digital twin model; The display parameters of each storage space are recorded in real time, and warning information pointing to the storage space is generated according to changes in the display parameters.

7. A logistics warehousing management system based on digital twins, characterized in that: The system comprises: The facility query module is used to obtain the BIM model of the logistics warehouse, locate the storage space in the BIM model, and simultaneously obtain the environmental control equipment installed in the storage space; A controllability calculation module is used to determine the environmental controllability of each storage space based on the installation information of the environmental control equipment; A storage space matching module is used to receive a storage task with demand characteristics input by a user, and match storage space according to the demand characteristics; the demand characteristics include demand controllability, demand space quantity and demand convenience; the demand convenience is used to determine the location of the selected storage space; A change information determination module is used to obtain visual information of the goods in real time based on a camera installed in the storage space, and determine storage change information of each storage space according to the visual information; the storage change information adopts a volume that changes over time; The storage space clustering module is used to determine the similarity of different storage spaces based on storage change information and cluster the storage spaces according to the similarity; Model creation module, used to create digital twin models based on BIM models and clustering results.

8. The digital twin-based logistics warehousing management system according to claim 7 is characterized in that: The controllability calculation module comprises: The device information query unit is used to query the installation location and device parameters of each environmental control device; the device parameters include the rated working range; Equipment statistics unit, used to count the environmental control equipment in each storage space according to the installation location and equipment parameters of each environmental control equipment; A calculation execution unit, used to determine the degree of environmental controllability according to equipment parameters of environmental control equipment in each storage space; The process of determining the environmental controllability is as follows: In the formula, H represents the controllability of the environment, N represents the total number of environmental control equipment, and Y i Indicates the right endpoint value of the rated working range of the i-th environmental control device, Y i represents the right endpoint value of the rated working range of the i-th environmental control device, α i Indicates the weight corresponding to the i-th environmental control device.

9. The digital twin-based logistics warehousing management system according to claim 7 is characterized in that: The storage space clustering module includes: A frequency domain conversion unit is used to perform Fourier transform on the storage change information to obtain a frequency domain graph; A similarity calculation unit is used to compare the frequency domain graphs of any two storage spaces and calculate the similarity; The clustering execution unit is used to cluster the storage spaces according to the similarity.

10. The digital twin-based logistics warehousing management system according to claim 7, characterized in that: The model creation module includes: A basic model generation unit, used to use the BIM model as a basic twin model; A display parameter determination unit, used to read the total number of categories of storage space and determine the display parameters of each category of storage space according to the total number of categories; A display parameter insertion unit, used to insert display parameters into the basic twin model to obtain a digital twin model; The display parameters of each storage space are recorded in real time, and warning information pointing to the storage space is generated according to changes in the display parameters.

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