A construction method for a collaborative platform of a digital supply chain

Abstract

The present invention discloses a method for constructing a collaborative platform for a digital supply chain, comprising the following steps: forming a supply chain by sequentially connecting multiple supply auxiliary units in series according to the supply order of an order; forming supply blocks in the areas corresponding to the supply auxiliary units on the supply chain, and constructing virtual visual models corresponding to the supply auxiliary units in each supply block; creating shared nodes based on the virtual visual models, and establishing an information interaction chain with the shared nodes as the starting point to construct a digital supply chain collaborative platform; for each supply auxiliary unit, the present invention constructs a virtual visual model, and while using the virtual visual model to construct shared nodes and establish an information interaction chain, it also discriminates the overlapping state of supply data. The synchronous application of the virtual visual model can, on the one hand, achieve data interconnection and data protection, and on the other hand, effectively prevent abnormal data from entering the data transmission chain and affecting the accuracy of the information interaction chain.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly to a method for constructing a collaborative platform for a digital supply chain. Background Art

[0002] Through supply chain digitization technology, enterprises can better grasp information on the supply chain, including production status, inventory status, order tracking, etc., thereby improving the traceability of products and the controllability of the supply chain. However, due to the lack of data collection capabilities for supply chain equipment in traditional manufacturing enterprises, data cannot be fully visualized, resulting in the inability to timely display data such as procurement, production, supply, and sales, increasing management costs. Abnormal data problems cannot be discovered, tracked, and solved in a timely manner, and the supply chain process is opaque, leading to collaborative barriers among different departments within the enterprise, greatly affecting the efficient operation of the enterprise.

[0003] For this reason, the invention patent with the publication number CN111815265A in the prior art discloses a digital supply chain collaborative platform and a construction method. By constructing a collaborative model, a monitoring matrix data model, and an analysis model, and then creating a digital supply chain collaborative platform through mutual information interaction, it realizes the collaboration between people and people, and between people and machines in the enterprise, and creates an industrial community on the same value chain for the enterprise in the way of supply chain collaboration.

[0004] For such technical solutions, although they achieve collaboration on the supply chain to a certain extent through methods such as a collaborative model, in the actual process of the supply chain, the same data may be recorded multiple times by different working entities in the supply chain, resulting in overlapping or inconsistent data content. Although end-to-end data transparency is achieved, due to the disorder and uncertainty of the data, enterprises cannot obtain more comprehensive and accurate data when making decisions using the data, affecting the effectiveness of the final decision. Summary of the Invention

[0005] For this reason, the present invention provides a method for constructing a collaborative platform for a digital supply chain, effectively solving the problem that the same data in the prior art may be recorded multiple times by different working entities in the supply chain, resulting in overlapping or inconsistent data content.

[0006] To solve the above technical problems, the present invention specifically provides the following technical solutions:

[0007] A method for constructing a collaborative platform for a digital supply chain includes the following steps:

[0008] Form a supply chain by sequentially connecting multiple supply auxiliary units in series according to the supply order of the orders;

[0009] Form supply blocks in the areas corresponding to the supply auxiliary units on the supply chain, and construct virtual visual models corresponding to the supply auxiliary units in each supply block;

[0010] Create shared nodes based on the virtual visual model, establish an information interaction chain with the shared nodes as the base point, and build a digital supply chain collaboration platform;

[0011] Among them, in the virtual visual model, the supply data obtained and automatically updated by the data acquisition layer is first identified, and then re-edited and confirmed according to the identification result. Specifically, it includes:

[0012] Use the data acquisition layer to obtain and automatically update the supply data, and automatically form a data transmission chain accordingly. Input the data transmission chain into the virtual visual model to identify the overlapping state of the automatically updated supply data;

[0013] Create an editing node on the data transmission chain according to the identified overlapping state of the supply data. Intercept the data transmission action at the editing node, and return the transmitted automatically updated supply data to the data acquisition layer for re-editing and confirmation.

[0014] Furthermore, the supply assistance unit includes a procurement unit, a manufacturing unit, a warehouse management unit, and a logistics management unit;

[0015] There are several auxiliary entities in each of the procurement unit, the manufacturing unit, the warehouse management unit, and the logistics management unit. The procurement unit, the manufacturing unit, the warehouse management unit, and the logistics management unit correspond to at least one decision-making entity.

[0016] Furthermore, build a virtual visual model corresponding to the supply assistance unit in each supply block, specifically including the following steps:

[0017] Form a supply block corresponding to each auxiliary unit area;

[0018] Build a virtual visual model consisting of a data acquisition layer, a data analysis layer, and a data update layer in each supply block;

[0019] Among them, in the data acquisition layer, obtain the automatically updated supply data entered by the auxiliary entities in the corresponding supply assistance unit;

[0020] In the data analysis layer, obtain the automatically updated supply data transmitted by the data acquisition layer, and horizontally automatically link the data analysis layers in the virtual visual models constructed by other supply assistance units to summarize the data and screen for abnormal data;

[0021] Clean the abnormal data in the data update layer to update the data.

[0022] Further, a data storage area is provided in the virtual visual model, and the data storage area includes a privacy area and a sharing area. After the data is updated in the data update layer, the data is classified and stored in the privacy area or the sharing area according to its privacy characteristics or sharing characteristics;

[0023] Among them, the privacy characteristics or sharing characteristics of the automatically updated supply data are set by the decision-making entity.

[0024] Further, the data transmission chain is input into the virtual visual model to identify the overlapping state of the automatically updated supply data, which specifically includes the following steps:

[0025] The data analysis layers in the virtual visual models of each supply block are interconnected with each other to summarize the data and screen whether there is a situation of duplicate entry of the same automatically updated supply data;

[0026] The situation of duplicate entry and inconsistent data is defined as data overlap of the automatically updated supply data;

[0027] Among them, based on the situation of duplicate entry and consistent data, the duplicate automatically updated supply data is automatically removed in the data update layer.

[0028] Further, after abnormal data is screened out in the data analysis layer, an editing node is created on the data transmission chain according to the data abnormal state. The data transmission action is intercepted at the editing node, and the transmitted automatically updated supply data is returned to the data acquisition layer for re-editing and confirmation to complete data cleaning.

[0029] Further, a blocking node is created on the data transmission chain based on the privacy characteristics of the automatically updated supply data. The data transmission action is intercepted at the blocking node, and the corresponding data transmission chain is cut off to complete data cleaning;

[0030] A blocking node is created on one of the data transmission chains based on the situation of duplicate entry and consistent data. The data transmission action is intercepted at the blocking node, and the corresponding data transmission chain is cut off to complete data cleaning.

[0031] Further, when the transmitted automatically updated supply data is returned to the data acquisition layer for re-editing and confirmation, the supply data on the data transmission chain is intercepted by the editing node, and the data transmission chain automatically returns the supply data to the auxiliary entity corresponding to the starting end of the data transmission chain in the data acquisition layer for re-editing and confirmation;

[0032] At the same time, the decision-making entity end is automatically linked. The data acquisition layer sends a confirmation message to the decision-making entity end based on the re-edited and confirmed information. After being confirmed by the decision-making entity end, a new data transmission chain is formed for data transmission.

[0033] Further, the automatically updated supply data is obtained at the data acquisition layer, and the following specific method is adopted:

[0034] The automatically updated supply data is entered by at least one of the auxiliary entities, and the automatically updated supply data entered by the input device is obtained at the data acquisition layer.

[0035] Further, a shared node is created based on the virtual visual model, and an information interaction chain is established with the shared node as the base point, which specifically includes the following steps:

[0036] A shared node is constructed at the output end of the data transmission chain, and the privacy characteristics or sharing characteristics of the automatically updated supply data are retested at the shared node;

[0037] Based on the sharing characteristics of the automatically updated supply data, an information interaction chain is established with the shared node as the base point.

[0038] The present invention has the following beneficial effects compared with the prior art:

[0039] For each supply auxiliary unit, the present invention constructs a virtual visual model. While using the virtual visual model to construct a shared node to establish an information interaction chain, the virtual visual model is also used to identify the overlapping state of the automatically updated supply data. When the data is abnormal, a convenient node is automatically created for interception and re - editing confirmation. The synchronous application of the virtual visual model can, on the one hand, achieve data interconnection and data protection, and on the other hand, effectively prevent abnormal data from entering the data transmission chain and affecting the accuracy of the information interaction chain. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only exemplary, and for those of ordinary skill in the art, other implementation drawings can be obtained by extension based on the provided drawings without creative efforts.

[0041] Figure 1 It is a flowchart schematic diagram of a method for constructing a collaborative platform of a digital supply chain provided by an embodiment of the present invention;

[0042] Figure 2 It is a schematic diagram of the construction process of the digital supply chain collaborative platform in an embodiment of the present invention;

[0043] Figure 3 It is a schematic diagram of the structure of the virtual visual model in an embodiment of the present invention;

[0044] Figure 4 It is a link schematic diagram of the data analysis layer in an embodiment of the present invention;

[0045] Figure 5 This is the data transmission flowchart under normal circumstances in the embodiments of the present invention;

[0046] Figure 6 This is the data transmission flowchart under normal circumstances and when the data belongs to the privacy feature in the embodiments of the present invention;

[0047] Figure 7 This is the data transmission flowchart under abnormal circumstances in the embodiments of the present invention;

[0048] Figure 8 This is the data transmission flowchart under the condition of data duplication in the embodiments of the present invention;

[0049] Figure 9 This is the data transmission flowchart under the condition of data overlap in the embodiments of the present invention. Detailed implementation manners

[0050] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0051] As Figure 1 and Figure 2 shown, the present invention provides a construction method for a collaborative platform of a digital supply chain, including:

[0052] Taking an order as the baseline, a supply chain is formed by sequentially connecting multiple supply auxiliary units in series according to the supply order;

[0053] Supply blocks are formed in the areas corresponding to the supply auxiliary units on the supply chain, and virtual visual models corresponding to the supply auxiliary units are constructed in each supply block;

[0054] Automatically updated supply data is obtained at the data acquisition layer, and a data transmission chain is automatically formed. At the same time, in combination with multiple virtual visual models, the overlap state of the automatically updated supply data is identified;

[0055] Editing nodes are created on the data transmission chain according to the data overlap state. The data transmission action is intercepted at the editing nodes, and the transmitted automatically updated supply data is returned to the data acquisition layer for re-editing and confirmation;

[0056] Shared nodes are created based on the virtual visual models, and an information interaction chain is established with the shared nodes as the base points to construct a digital supply chain collaborative platform.

[0057] In the present invention, a virtual visual model is constructed for each supply assistance unit. When the automatically updated supply data is obtained at the data acquisition layer, a data transmission chain is automatically formed for data transmission. At the same time, the overlapping state of the automatically updated supply data is identified by using multiple virtual visual models. When there is overlapping data, an editing node is automatically created on the data transmission chain. The data transmission action is intercepted at the editing node, and the transmitted automatically updated supply data is returned to the data acquisition layer for re-editing and confirmation, thereby preventing the occurrence of data overlapping and improving the accuracy of visual data.

[0058] In the present invention, as Figure 2 shown, the supply assistance unit may include a purchasing unit, a manufacturing unit, a warehouse management unit, and a logistics management unit, but is not limited to the purchasing unit, the manufacturing unit, the warehouse management unit, and the logistics management unit. The purchasing unit, the manufacturing unit, the warehouse management unit, and the logistics management unit are the units corresponding to each department in the supply chain.

[0059] Among them, each of the purchasing unit, the manufacturing unit, the warehouse management unit, and the logistics management unit contains several auxiliary entities, and the auxiliary entity is a service individual related to the purchasing unit and the supply chain.

[0060] In the present invention, the automatically updated supply data is obtained at the data acquisition layer, and the following specific methods are adopted:

[0061] The automatically updated supply data is input by at least one auxiliary entity, and the automatically updated supply data input by the input device is obtained at the data acquisition layer.

[0062] In the actual application process, the automatically updated supply data of the corresponding supply assistance unit can also be collected through an automatic collection device. For example, the storage volume of the warehouse can be automatically counted by a camera element and reported to the system.

[0063] The auxiliary entity provides services for the completion of the supply chain, and the relevant data of the supply chain can be input into the system after on-site inspection and communication by the auxiliary entity.

[0064] The purchasing unit, the manufacturing unit, the warehouse management unit, and the logistics management unit correspond to at least one decision-making entity, which is used to decide to select one of the automatically updated supply data or directly not select it according to the statement information of the auxiliary entity when the data is abnormal or overlapping.

[0065] As Figure 3 shown, in the present invention, a supply block is formed in the area of the supply assistance unit on the supply chain, and a virtual visual model corresponding to the supply assistance unit is constructed in each supply block. The specific steps are as follows:

[0066] A supply block is formed corresponding to each auxiliary unit area;

[0067] Build a virtual visual model consisting of a data collection layer, a data analysis layer, and a data update layer in each supply block;

[0068] Among them, in the data collection layer, obtain the automatically updated supply data entered by the auxiliary entity in the corresponding supply auxiliary unit;

[0069] In the data analysis layer, obtain the automatically updated supply data transmitted by the data collection layer, and horizontally and automatically link to the data analysis layer in the virtual visual model constructed by other supply auxiliary units to summarize the data and screen for abnormal data;

[0070] In the data update layer, clean the abnormal data to update the data.

[0071] Among them, the virtual visual model sequentially includes a data collection layer, a data analysis layer, and a data update layer. First, the data collection layer collects the automatically updated supply data entered by the auxiliary entity.

[0072] After that, it is transmitted to the data analysis layer for data analysis. There are certain benchmarks for data analysis. Among them, the data analysis process includes but is not limited to the analysis process of data overlap status and the analysis process of data abnormal status. In the actual application process, the analysis process of data overlap status can also be attributed to the analysis process of data abnormal status. That is to say, the data overlap status is also a case of data abnormal status. For example, the data abnormal analysis process includes overlap analysis, numerical range analysis, etc. Among them, whether there is data overlap needs to be compared with the corresponding data of other supply auxiliary units. Therefore, in the data analysis layer, it is necessary to horizontally and automatically link to the data analysis layer in the virtual visual model constructed by other supply auxiliary units to summarize the data and screen for overlapping data, as Figure 4 shown, basically presenting a state where the data analysis layers between any two are interconnected.

[0073] Finally, according to the data analysis situation, clean the abnormal data in the data update layer to update the data and store the updated data.

[0074] There is a data storage area in the virtual visual model. The data storage area contains a privacy area and a sharing area. After updating the data in the data update layer, classify and store the data in the privacy area or the sharing area according to its privacy characteristics or sharing characteristics.

[0075] Among them, the privacy feature or sharing feature of automatically updated supply data is set by the decision-making entity. In the supply chain, to protect the secure operation of the supply chain, departments do not fully communicate with each other. Some data has privacy permissions and not all data can be directly uploaded. To achieve both data communication and data protection simultaneously, the data is classified according to the privacy feature or sharing feature. The automatically updated supply data corresponding to the privacy feature cannot perform data interaction, while the automatically updated supply data with the sharing feature can perform data interaction.

[0076] Combined with the multi-virtual visual model, identify the overlapping state of the automatically updated supply data, which specifically includes the following steps:

[0077] The data analysis layers within the virtual visual model of each supply block are interconnected to summarize the data and screen for whether the same automatically updated supply data is entered repeatedly.

[0078] Define the situation where there are repeated entries and inconsistent data as data overlap in the automatically updated supply data.

[0079] Among them, based on the situation where there are repeated entries and consistent data, the duplicate automatically updated supply data is automatically removed in the data update layer.

[0080] Correspondingly, define the situation where a certain data has repeated entries and inconsistent data as data overlap in the automatically updated supply data, and define the situation where a certain data has repeated entries and consistent data as data duplication in the automatically updated supply data. Automatically remove the automatically updated supply data with data duplication (data cleaning) in the data update layer.

[0081] In the method for constructing a collaborative platform of a digital supply chain provided by the present invention, the specific cleaning steps in the data update layer further include:

[0082] After screening out abnormal data in the data analysis layer, create an editing node on the data transmission chain according to the data abnormal state, intercept the data transmission action at the editing node, and return the transmitted automatically updated supply data to the data acquisition layer for re-editing and confirmation to complete data cleaning.

[0083] Create a blocking node on the data transmission chain based on the privacy feature of the automatically updated supply data, intercept the data transmission action at the blocking node, and cut off the corresponding data transmission chain to complete data cleaning.

[0084] Create a blocking node on one of the data transmission chains based on the situation where there are repeated entries and consistent data, intercept the data transmission action at the blocking node, and cut off the corresponding data transmission chain to complete data cleaning.

[0085] Specifically, the data analysis layer will determine that the data has the following several situations:

[0086] 1. Automatically updated supply data with normal data and shared characteristics;

[0087] As Figure 5 shown, no data cleaning is performed and the data transmission chain transmits normally;

[0088] 2. Automatically updated supply data with normal data and privacy characteristics;

[0089] As Figure 6 shown, create a blocking node on the data transmission chain, directly intercept the data transmission action at the blocking node, cut off the corresponding data transmission chain, complete data cleaning, and store the corresponding data in the privacy area;

[0090] Intercepting the automatically updated supply data with privacy characteristics can effectively protect the privacy information within the department unit.

[0091] 3. Abnormal data (such as abnormal situations outside the normal numerical range, etc.);

[0092] As Figure 7 shown, after screening out abnormal data at the data analysis layer, create an editing node on the data transmission chain according to the data abnormal state, intercept the data transmission action at the editing node, and return the transmitted automatically updated supply data to the data acquisition layer for re - editing and confirmation to complete data cleaning;

[0093] 4. Duplicate data entry with the same value;

[0094] As Figure 8 shown, create a blocking node on the data transmission chain within one of the supply blocks, directly intercept the data transmission action at the blocking node, cut off the corresponding data transmission chain, complete data cleaning, and the data transmission chain within the other supply block transmits data normally;

[0095] 5. Duplicate data entry with different values;

[0096] As Figure 9 shown, determine that there is data overlap and the data may be incorrect, create an editing node on the data transmission chain, intercept the data transmission action at the editing node, and return the transmitted automatically updated supply data to the data acquisition layer for re - editing and confirmation to complete data cleaning.

[0097] In this embodiment, the method of directly forming a data transmission chain at the data acquisition layer for data transmission can greatly improve the data transmission efficiency. The main reason is that in the actual process, the proportion of data in the cases of being normal and having privacy characteristics, data being abnormal, data being repeatedly entered with the same value, or data being repeatedly entered with different values is usually much smaller than the proportion of data being normal and having sharing characteristics. Moreover, when the data is normal and has sharing characteristics, the data is directly transmitted via the data transmission chain, and there are no interception and blocking actions to achieve efficient data transmission.

[0098] In the present invention, intercept the data transmission action at the editing node, and return the automatically updated supply data being transmitted to the data acquisition layer for re - editing and confirmation, including:

[0099] Intercepted by the editing node, automatically return the automatically updated supply data on the data transmission chain to the auxiliary entity corresponding to the starting end of the data transmission chain in the data acquisition layer for re - editing and confirmation;

[0100] At the same time, automatically link to the decision - making entity end, and send a confirmation message to the decision - making entity end based on the information after re - editing and confirmation. After being confirmed by the decision - making entity end, re - form the data transmission chain and conduct data transmission.

[0101] Correspondingly, when intercepted by the editing node, return the automatically updated supply data on the data transmission chain to the auxiliary entity corresponding to the starting end of the data transmission chain in the data acquisition layer for re - editing and confirmation, or a temporary meeting window can also be constructed between the auxiliary entities corresponding to the overlapping data for re - editing and confirmation of the data, or one of the auxiliary entities can re - collect and enter the data. The re - entered data is automatically linked to the decision - making entity end, and a confirmation message is sent to the decision - making entity end according to the information after re - editing and confirmation. After being confirmed by the decision - making entity end, re - form the data transmission chain in the data acquisition layer and re - conduct data transmission to complete data interaction.

[0102] In the present invention, create a shared node based on the virtual visual model, and establish an information interaction chain with the shared node as the base point, specifically including the following steps:

[0103] Construct a shared node at the output end of the data transmission chain, and re - test the privacy characteristics or sharing characteristics of the automatically updated supply data at the shared node;

[0104] Based on the sharing characteristics of the automatically updated supply data, establish an information interaction chain with the shared node as the base point.

[0105] In the above - mentioned embodiment, conduct a secondary detection of the privacy characteristics or sharing characteristics of the automatically updated supply data at the shared node to prevent the automatically updated supply data with privacy characteristics from being transmitted to the digital supply chain collaboration platform.

[0106] In the present invention, the overlapping state of automatically updated supply data is identified through multiple virtual visual models. When data overlap occurs, an editing node is automatically created on the data transmission chain. At the editing node, the data transmission action is intercepted, and the transmitted automatically updated supply data is returned to the data acquisition layer for re - editing and confirmation, thereby preventing the occurrence of data overlap. This can avoid the situation where, in the case of data disorder and uncertainty, enterprises cannot obtain more comprehensive and accurate data when making decisions using data, and improves the accuracy of visual data.

[0107] In addition, corresponding data processing is also performed on the automatically updated supply data classified according to privacy characteristics and sharing characteristics to prevent the automatically updated supply data with privacy characteristics from being interacted with other department units.

[0108] Furthermore, for other data anomaly situations, the data transmission action is also intercepted at the editing node, and the transmitted automatically updated supply data is returned to the data acquisition layer for re - editing and confirmation, thereby reducing the occurrence of data anomaly situations and overall improving the accuracy of visual data.

[0109] The above embodiments are only exemplary embodiments of the present application and are not used to limit the present application. The protection scope of the present application is defined by the claims. Those skilled in the art can make various modifications or equivalent replacements within the essence and protection scope of the present application, and such modifications or equivalent replacements should also be regarded as falling within the protection scope of the present application.

Claims

1. A method for constructing a collaborative platform for a digital supply chain, characterized in that, It includes the following steps: Form a supply chain by sequentially connecting multiple supply assistance units in series according to the supply order of the order; the supply assistance units include a procurement unit, a manufacturing unit, a warehouse management unit, and a logistics management unit; Form supply blocks in the areas corresponding to the supply assistance units on the supply chain, and build a virtual visual model composed of a data acquisition layer, a data analysis layer, and a data update layer in each supply block; the data analysis layer obtains the automatically updated supply data transmitted by the data acquisition layer, and horizontally and automatically links to the data analysis layers in the virtual visual models constructed by other supply assistance units to summarize the data and screen for abnormal data; The data update layer performs cleaning of abnormal data to update the data; Create shared nodes based on the virtual visual model, and establish an information interaction chain with the shared nodes as the base points, To build a digital supply chain collaboration platform; Use the data acquisition layer to obtain automatically updated supply data, automatically form a data transmission chain, and input the obtained automatically updated supply data into the data analysis layer of the virtual visual model for analysis. The analysis results of the data analysis layer include: a. Automatically updated supply data with normal data and belonging to the shared characteristic: Do not perform data cleaning, and the data transmission chain transmits normally; b. Automatically updated supply data with normal data and belonging to the privacy characteristic: Create a blocking node on the data transmission chain, intercept the data transmission action at the blocking node, cut off the corresponding data transmission chain, complete data cleaning, and store the corresponding data in the privacy interval; c. Abnormal situations where the data does not fall within the normal numerical range: After screening out abnormal data in the data analysis layer, create an editing node on the data transmission chain according to the data abnormal state, intercept the data transmission action at the editing node, and return the transmitted automatically updated supply data to the data acquisition layer for re - editing and confirmation to complete data cleaning; d. Duplicate data entry with the same value: Select to create a blocking node on the data transmission chain within one of the supply blocks, intercept the data transmission action at the blocking node, cut off the corresponding data transmission chain to complete data cleaning, and the data transmission chain within the other supply block transmits data normally; e. Duplicate data entry with inconsistent values: Create an editing node on the data transmission chain, intercept the data transmission action at the editing node, and return the transmitted automatically updated supply data to the data acquisition layer for re - editing and confirmation to complete data cleaning.

2. The method for constructing a collaborative platform of a digital supply chain according to claim 1, characterized in that, Each of the procurement unit, the manufacturing unit, the warehouse management unit, and the logistics management unit contains several auxiliary entities, and the procurement unit, the manufacturing unit, the warehouse management unit, and the logistics management unit correspond to at least one decision - making entity.

3. The method for constructing a collaborative platform of a digital supply chain according to claim 2, characterized in that, The virtual visual model has a data storage area, and the data storage area includes a privacy area and a sharing area. After the data is updated in the data update layer, the data is classified and stored in the privacy area or the sharing area according to its privacy characteristics or sharing characteristics; wherein, the privacy characteristics or sharing characteristics of the automatically updated supply data are set by the decision-making entity.

4. The method for constructing a collaborative platform for a digital supply chain according to claim 1, wherein When the automatically updated supply data to be transmitted is returned to the data acquisition layer for re-editing and confirmation, the supply data on the data transmission chain is intercepted by the editing node, and the data transmission chain automatically returns the supply data to the auxiliary entity corresponding to the starting end of the data transmission chain in the data acquisition layer for re-editing and confirmation; at the same time, it is automatically linked to the decision-making entity end, and the data acquisition layer sends confirmation information to the decision-making entity end based on the information after re-editing and confirmation. After being confirmed by the decision-making entity end, a new data transmission chain is formed for data transmission.

5. The method for constructing a collaborative platform for a digital supply chain according to claim 2, wherein The automatically updated supply data is obtained in the data acquisition layer, specifically in the following manner: At least one of the auxiliary entities inputs the automatically updated supply data, and the data acquisition layer obtains the automatically updated supply data input by the input device.

6. The method for constructing a collaborative platform for a digital supply chain according to claim 3, wherein A sharing node is created based on the virtual visual model, and an information interaction chain is established with the sharing node as the base point, specifically including the following steps: A sharing node is constructed at the output end of the data transmission chain, and the privacy characteristics or sharing characteristics of the automatically updated supply data are retested at the sharing node; Based on the sharing characteristics of the automatically updated supply data, an information interaction chain is established with the sharing node as the base point.

Images