BIM Model-Based Logistics Park Supply Chain Traceability Method and System

Abstract

The present invention relates to the technical field of logistics transportation, and specifically relates to a method and system for tracing the supply chain of a logistics park based on a BIM model. First, the present application preliminarily evaluates the degree of goods loss according to the relative loss of the quality of goods at the starting point and the ending point on different tracing transportation paths. Then, according to the performance of goods loss on the tracing transportation paths passing through each local section, the unreliability of each local section is evaluated; and the priority of path allocation is determined by combining the types of goods that can be compatibly transported in each local section, so as to overall evaluate the final selectability of the tracing transportation path including multiple local sections. Finally, the optimal supply chain path with higher accuracy and robustness is selected for transportation, so that the effect of supply chain tracing according to the optimal supply chain path is better.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics transportation, and particularly to a method and system for tracing the origin of the supply chain in a logistics park based on a BIM model. Background Art

[0002] In supply chain transportation, different goods have different sensitivities to the transportation environment. For example, coal transportation needs to avoid high-temperature and humid sections to prevent spontaneous combustion or caking, and at the same time requires smooth tracks to reduce dust dispersion; fresh products such as fruits and vegetables rely on a constant temperature and low-vibration environment to avoid mechanical damage caused by bumpy sections or spoilage caused by temperature fluctuations. Traditional route planning is mostly based on a single criterion such as distance or cost, and does not fully consider the matching between section characteristics such as rugged mountain roads, rainy areas, high-temperature corridors, etc. and the needs of goods. For example, the same winding road section may have little impact on coal transportation, but will significantly increase the loss rate of fruits and vegetables.

[0003] Therefore, in order to improve the transportation effect of the supply chain path selected when transporting goods, the prior art usually conducts an overall evaluation of the traceability transportation path based on the loss situation when transporting goods on each traceability transportation path determined based on the BIM model in historical data, and thus selects the optimal supply chain path for transporting goods according to the evaluation results.

[0004] However, the prior art does not consider the transportation interference situation of each local section in a single traceability transportation path, making the overall evaluation of the traceability transportation path have certain limitations and affecting the accuracy of the evaluation results; and when transporting different types of goods in combination, the transportation data of the traceability transportation path for transporting a specific combination of goods in historical data is usually relatively small, resulting in a lack of samples when tracing the origin transportation path according to the loss situation of goods transportation, making the robustness of the evaluation results poor; that is, the accuracy of the prior art in conducting an overall evaluation of the traceability transportation path based on the loss situation when transporting goods on each traceability transportation path is low and the robustness is poor. Summary of the Invention

[0005] In order to solve the technical problems that the prior art has low accuracy and poor robustness in conducting an overall evaluation of the traceability transportation path based on the loss situation when transporting goods on each traceability transportation path, the purpose of this application is to provide a method and system for tracing the origin of the supply chain in a logistics park based on a BIM model, and the specific technical solutions adopted are as follows:

[0006] The first aspect of this application provides a method for tracing the origin of the supply chain in a logistics park based on a BIM model, including:

[0007] Collecting all local sections in all traceability transportation paths of the logistics park supply chain based on the BIM model;

[0008] Determine the corresponding degree of goods loss according to the relative loss situation of each type of goods during transportation in each transportation batch on each traceable transportation path;

[0009] Determine the corresponding unreliability according to the fluctuation situation and overall magnitude of the degree of goods loss corresponding to each traceable transportation path passing through each local section during the transportation of each type of goods; determine the path allocation priority of each local section according to the types of goods that can be transported by each local section and the overall magnitude of the corresponding unreliability when transporting various goods;

[0010] Under each goods transportation combination, determine the final selectability of each traceable transportation path according to the overall magnitude of the path allocation priority of each local section on the corresponding traceable transportation path; screen out the optimal supply chain path according to the final selectability;

[0011] Furthermore, the process of obtaining the degree of goods loss includes:

[0012] Construct a sample space with each quality evaluation dimension of each type of goods as the coordinate axis and the quantified and normalized numerical value of each quality evaluation dimension as the coordinate axis value; in the sample space, take the coordinate point corresponding to the starting point of the traceable transportation path when each type of goods is transported in each transportation batch as the first coordinate point; take the coordinate point corresponding to the end point of the traceable transportation path when each type of goods is transported in each transportation batch as the second coordinate point;

[0013] Perform DBSCAN density clustering on all the first coordinate points and all the second coordinate points corresponding to each type of goods in all transportation batches to obtain all coordinate point clustering clusters;

[0014] Determine the corresponding overall loss degree according to the position deviation situation between the coordinate point clustering cluster corresponding to the first coordinate point and the coordinate point clustering cluster corresponding to the second coordinate point for each type of goods in each transportation batch;

[0015] Determine the corresponding local loss degree according to the numerical deviation distribution of the first coordinate point and the second coordinate point of each type of goods in each transportation batch in each quality evaluation dimension;

[0016] Determine the corresponding degree of goods loss according to the overall numerical magnitude of the overall loss degree and the local loss degree corresponding to each transportation batch of each type of goods on each traceable transportation path.

[0017] Furthermore, the process of obtaining the overall loss degree includes:

[0018] Take the Euclidean distance between the center point of the coordinate point clustering cluster where the first coordinate point corresponding to each type of goods in each transportation batch is located and the center point of the coordinate point clustering cluster where the corresponding second coordinate point is located as the corresponding overall loss degree.

[0019] Further, the process of obtaining the local loss degree includes:

[0020] Taking the difference between the first coordinate point and the second coordinate point in each quality evaluation dimension as the corresponding reference loss value; taking the maximum value of the reference loss values of each kind of goods in all quality evaluation dimensions of each transportation batch as the local loss degree of each kind of goods in each transportation batch.

[0021] Further, the process of determining the corresponding goods loss degree according to the overall numerical magnitudes of the overall loss degree and the local loss degree corresponding to each transportation batch of each kind of goods on each traceable transportation path includes:

[0022] Determining the relative loss degree of each kind of goods during transportation in each transportation batch according to the product of the positive correlation mapping value of the overall loss degree and the local loss degree;

[0023] Determining the goods loss degree of each kind of goods on each traceable transportation path according to the mean value of the relative loss degrees of each kind of goods during transportation in all transportation batches on each traceable transportation path.

[0024] Further, the process of obtaining the unreliability includes:

[0025] Taking all traceable transportation paths including each local section when each kind of goods is transported as the reference paths for each local section; taking the negative correlation mapping value of the range of the goods loss degrees of each kind of goods under all reference paths as the section influence weight;

[0026] Determining the unreliability of each kind of goods passing through each local section during transportation according to the product of the mean value of the goods loss degrees of each kind of goods under all reference paths and the section influence weight.

[0027] Further, the process of obtaining the path allocation priority includes:

[0028] Taking the normalized value of the number of types of goods that each local section can transport as the quantity weight; determining the path allocation priority of each local section according to the product of the negative correlation mapping value of the mean value of all unreliabilities corresponding to all types of goods that each local section can transport and the quantity weight.

[0029] Further, the process of obtaining the final selectability includes:

[0030] Under each goods transportation combination, taking the mean value of the path allocation priorities of all local sections on each traceable transportation path as the final selectability of each traceable transportation path.

[0031] Further, the process of obtaining the optimal supply chain path includes:

[0032] Taking the traceability transportation path with the largest final selectability under each cargo transportation combination as the corresponding optimal supply chain path.

[0033] In a second aspect, the present application provides a logistics park supply chain traceability system based on a BIM model, and the system includes:

[0034] A data collection and preprocessing module, configured to collect all local road segments in all traceability transportation paths of the logistics park supply chain based on the BIM model;

[0035] A first determination module, configured to determine the corresponding cargo loss degree according to the relative loss situation when each cargo is transported in each transportation batch of each traceability transportation path;

[0036] A second determination module, configured to obtain the traceability transportation path that does not include the abnormal analysis area and the cargo loss degree representing the overall defect performance when transporting each cargo; determining the corresponding unreliability according to the fluctuation situation and the overall size of the cargo loss degrees corresponding to each traceability transportation path passing through each local road segment when transporting each cargo; determining the path allocation priority of each local road segment according to the types of cargo that each local road segment can transport and the overall size of the corresponding unreliability when transporting various types of cargo;

[0037] An optimal supply chain path screening module, configured to determine the final selectability of each traceability transportation path according to the overall size of the path allocation priorities of each local road segment on the corresponding traceability transportation path under each cargo transportation combination; screening out the optimal supply chain path according to the final selectability.

[0038] In a third aspect, the present application provides a computer device, including a memory and a processor. The memory is used to store computer program code, and the processor is used to call and run the computer program code from the memory to execute the method as described in the first aspect or any embodiment of the first aspect of the present application.

[0039] In a fourth aspect, the present application provides a computer program product, and the computer program product includes computer program code, which when executed, executes the method as described in the first aspect or any embodiment of the first aspect of the present application.

[0040] In a fifth aspect, the present application provides a computer-readable storage medium, and the computer-readable storage medium stores computer program code, which when executed, executes the method as described in the first aspect or any embodiment of the first aspect of the present application.

[0041] The present application has the following beneficial effects:

[0042] First, the present application makes a preliminary evaluation of the degree of goods loss according to the relative mass loss of goods at the starting point and the ending point on different traceability transportation paths. Then, according to the performance of goods loss on the traceability transportation paths passing through each local section, the unreliability of each local section is evaluated; and the priority of path allocation is determined by combining the types of goods that can be compatibly transported in each local section, so as to overall evaluate the final selectability of the traceability transportation path including multiple local sections, and finally screen out the optimal supply chain path with higher accuracy and robustness for transportation, making the effect better when conducting supply chain traceability according to the optimal supply chain path. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or 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 some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0044] Figure 1 It is a flowchart of a method for supply chain traceability of a logistics park based on a BIM model provided by an embodiment of the present invention;

[0045] Figure 2 It is a structural diagram of a system for supply chain traceability of a logistics park based on a BIM model provided by an embodiment of the present invention;

[0046] Figure 3 It is a schematic structural diagram of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0047] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following, in combination with the accompanying drawings and preferred embodiments, details the specific implementation manners, structures, features and effects of a method and system for supply chain traceability of a logistics park based on a BIM model proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment, and the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form. In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of these features.

[0048] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this invention belongs.

[0049] The following specifically describes the specific solutions of a method and system for tracing the logistics park supply chain based on a BIM model provided by the present invention in conjunction with the accompanying drawings.

[0050] An embodiment of the present application provides a method for tracing the logistics park supply chain based on a BIM model. Please refer to Figure 1 , which shows a flowchart of a method for tracing the logistics park supply chain based on a BIM model provided by an embodiment of the present invention. The method includes:

[0051] Step S101: Collect all local sections in all traceable transportation paths of the logistics park supply chain based on the BIM model.

[0052] In a specific implementation manner of the embodiment of the present invention, first extract each traceable transportation path in the BIM model in the logistics park management system, and record the types of transported goods for each transportation batch of each traceable transportation path.

[0053] In a specific implementation manner of the embodiment of the present invention, use the overlapping sections between all traceable transportation paths with the BIM model as the divided sections; use the starting points and ending points of all divided sections and the starting points and ending points of all traceable transportation paths as the splitting points, and divide each traceable transportation path into each local section. Divide the local sections by means of the divided sections, so that the local sections can correspond to multiple traceable paths, making the basis for selecting the optimal supply chain path more referenceable.

[0054] Step S102: Determine the corresponding degree of goods loss according to the relative loss situation of each type of goods during transportation in each transportation batch of each traceable transportation path.

[0055] During the transportation of goods from the starting point to the ending point, different traceable transportation paths may be selected to transport the goods. The conditions such as climate and road conditions reflected by different traceable transportation paths often cause different degrees of loss to the transported goods; therefore, first measure the relative loss situation of each type of goods during transportation in each transportation batch on each traceable transportation path, and preliminarily measure the degree of goods loss.

[0056] Preferably, in some possible implementation manners of the embodiment of the present invention, the process of obtaining the degree of goods loss includes:

[0057] Construct a sample space with the respective quality evaluation dimensions of each type of goods as the coordinate axes and the quantified and normalized numerical values of each quality evaluation dimension as the coordinate axis values. Normalizing the quantification of different quality evaluation dimensions can eliminate the influence of dimensional differences; among them, the quality evaluation dimensions need to be adjusted according to the type of goods; in a specific implementation manner of the embodiment of the present invention, when the type of goods is coal mine, the ash content, sulfur content, and weight of the coal mine are used as the respective quality evaluation dimensions; when the type of goods is fresh fruits and vegetables, the temperature value, humidity value, and damage rate of the fresh fruits and vegetables are used as the respective quality evaluation dimensions; when the type of goods is precision instruments, the packaging integrity, temperature, and humidity are used as the respective quality evaluation dimensions. Temperature and humidity will affect the use of precision instruments, so temperature and humidity are introduced as quality evaluation dimensions; the implementer can adjust according to the specific implementation environment. In addition, it should be noted that for each type of goods during each transportation batch, the data of the respective quality evaluation dimensions corresponding to the starting point and the ending point of the traceable transportation path are pre-obtained through the logistics park management system, and no further elaboration will be made here.

[0058] In the said sample space, take the coordinate point corresponding to the starting point of the traceable transportation path when each type of goods is transported in each transportation batch as the first coordinate point; take the coordinate point corresponding to the ending point of the traceable transportation path when each type of goods is transported in each transportation batch as the second coordinate point; perform DBSCAN density clustering on all the first coordinate points and all the second coordinate points corresponding to each type of goods in all transportation batches to obtain all the coordinate point clustering clusters; determine the corresponding overall loss degree according to the position deviation situation between the coordinate point clustering cluster corresponding to the first coordinate point and the coordinate point clustering cluster corresponding to the second coordinate point for each type of goods in each transportation batch.

[0059] Preferably, in some possible implementation manners of the embodiment of the present invention, the process of obtaining the overall loss degree includes: taking the Euclidean distance between the center point of the coordinate point clustering cluster where the first coordinate point corresponding to each type of goods in each transportation batch is located and the center point of the coordinate point clustering cluster where the corresponding second coordinate point is located as the corresponding overall loss degree. For the first coordinate point and the second coordinate point of each type of goods in each transportation batch, if the first coordinate point and the second coordinate point are located in different coordinate point clustering clusters and there is a large position deviation between the clustering centers of the two coordinate point clustering clusters, it indicates that the changes of the goods in each quality evaluation dimension under the corresponding transportation batch are greater. The change of the quality evaluation dimension value will cause the goods to have losses. Therefore, the greater the obtained overall loss degree, the more serious the goods loss.

[0060] Determine the corresponding local loss degree according to the numerical deviation distribution of the first coordinate point and the second coordinate point of each kind of goods in each transportation batch in each quality evaluation dimension; preferably, in some possible implementation manners of the embodiments of the present invention, the process of obtaining the local loss degree includes:

[0061] Take the difference between the first coordinate point and the second coordinate point in each quality evaluation dimension as the corresponding reference loss value; take the maximum value of the reference loss values of each kind of goods in all quality evaluation dimensions of each transportation batch as the local loss degree of each kind of goods in each transportation batch. Specifically in each quality evaluation dimension, the greater the numerical change of the corresponding first coordinate point and the second coordinate point in the corresponding quality evaluation dimension, the greater the possible degree of loss; therefore, the greater the local loss degree representing the maximum value of the reference loss value, the more serious the loss of the goods.

[0062] Finally, from the overall and local dimensions, determine the corresponding goods loss degree according to the overall numerical sizes of the overall loss degree and the local loss degree corresponding to each transportation batch of each kind of goods on each traceable transportation path. Preferably, in some possible implementation manners of the embodiments of the present invention, the process of determining the corresponding goods loss degree according to the overall numerical sizes of the overall loss degree and the local loss degree corresponding to each transportation batch of each kind of goods on each traceable transportation path includes:

[0063] Determine the relative loss degree of each kind of goods during transportation in each transportation batch according to the product of the positive correlation mapping value of the overall loss degree and the local loss degree; determine the goods loss degree of each kind of goods on each traceable transportation path according to the average value of the relative loss degrees of all transportation batches of each kind of goods on each traceable transportation path. First, the loss degree of each transportation batch is characterized by combining the relative loss degree with the overall loss degree and the local loss degree; then, considering that the goods loss degree of each kind of goods on each traceable transportation path is evaluated, therefore, among all transportation batches of each kind of goods during transportation, according to the average value of the relative loss degrees on each traceable transportation path, the goods loss degree is preliminarily determined, so that the greater the goods loss degree, the greater the loss of transporting the corresponding kind of goods on the corresponding traceable transportation path.

[0064] In a specific implementation manner of the embodiments of the present invention, the process of obtaining the goods loss degree is expressed by the formula: ; where is the goods loss degree of the th kind of goods on the th traceable transportation path; is the th kind of goods on the The total number of transportation batches on a traceability transportation path; is the type of goods in the th traceability transportation path at the th transportation batch, representing the overall loss degree; is the type of goods in the th traceability transportation path, representing the maximum value of the overall loss degree under all transportation batches; is the type of goods in the th traceability transportation path at the th transportation batch, and is the reference loss value for the th quality evaluation dimension; is the maximum value selection function, is the type of goods in the th traceability transportation path at the th transportation batch, representing the maximum value of the reference loss values for all quality evaluation dimensions, that is, the corresponding local loss degree; is the type of goods in the th traceability transportation path at the th transportation batch, representing the relative loss degree during transportation; Through positive correlation mapping, the influence of the overall loss degree taking the value of 0 on the calculation result can be avoided, and through the normalization method, the value of the overall loss degree is restricted, reducing the influence of the dimension.

[0065] Step S103: Determine the corresponding unreliability according to the fluctuation situation and overall size of the goods loss degree corresponding to each traceability transportation path when each type of goods is transported through each local section; Determine the path allocation priority of each local section according to the types of goods that can be transported by each local section and the overall size of the corresponding unreliability when transporting various types of goods.

[0066] For each local section, there are usually multiple normal traceability paths passing through it. If all the traceability transportation paths including the corresponding local section show a relatively high goods loss degree when transporting a certain specific type of goods, it indicates that this local section is less suitable for transporting this specific type of goods. In order to more accurately judge the unreliability when each local section transports each type of goods, a more accurate analysis is carried out by combining all the traceability transportation paths including each local section as a whole.

[0067] Preferably, in some possible implementation manners of the embodiments of the present invention, the process of obtaining the unreliability includes:

[0068] Take all the traceable transportation paths including each local section for each type of goods during transportation as the reference paths for each local section; take the negative correlation mapping value of the range of the goods loss degree of each type of goods under all reference paths as the section influence weight; determine the unreliability of each type of goods passing through each local section during transportation according to the product between the mean value of the goods loss degree of each type of goods under all reference paths and the section influence weight.

[0069] For all the reference paths corresponding to each local section, the smaller the range of the goods loss degree, it indicates that the influence of other sections on the transportation of the corresponding type of goods in this local section is smaller, that is, it indicates that the influence weight of this local section on the overall defect of the section is larger; in addition, the larger the mean value of the goods loss degree of all the reference paths corresponding to each local section, it indicates that the transportation of the corresponding type of goods in this local section is more unreliable; therefore, perform product weighting processing on the section influence weight and the mean value of the goods loss degree of the corresponding type of goods under all reference paths, so that the obtained unreliability is more accurate.

[0070] In a specific implementation manner of the embodiment of the present invention, the process of obtaining the unreliability is expressed by the formula: ; where is the unreliability of the th type of goods passing through the th local section during transportation; is the maximum value of the goods loss degree of the th type of goods during transportation under all reference paths of the th local section; is the minimum value of the goods loss degree of the th type of goods during transportation under all reference paths of the th local section; is the range of the goods loss degree of the th type of goods during transportation under all reference paths of the th local section; is the number of reference paths of the th type of goods for the th local section, that is, the number of traceable transportation paths for transporting the th type of goods and including the th local section; is the goods loss degree of the th type of goods for the th local section and the th reference path; is the exponential function with the natural constant as the base; is the absolute value symbol; is the th type of goods for the The section impact weight of a local section.

[0071] The unreliability only characterizes the unreasonable situation when each local section transports a certain kind of goods. However, each local section usually transports multiple kinds of goods. Therefore, further combining the unreliability when each local section transports all kinds of goods for comprehensive analysis of the path allocation priority, so as to comprehensively evaluate each traceability transportation path in combination with the path allocation priority.

[0072] Preferably, in some possible implementation manners of the embodiment of the present invention, the process of obtaining the path allocation priority includes:

[0073] Taking the normalized value of the number of types of goods that each local section can transport as the quantity weight; determining the path allocation priority of each local section according to the product of the negative correlation mapping value of the mean of all unreliabilities corresponding to all types of goods that each local section can transport and the quantity weight. For each local section, the more types of goods it can transport, the better the compatibility of this local path when transporting different goods, and the higher the priority assigned to it. Therefore, it is analyzed as the quantity weight; further, based on the quantity weight, combining the mean of all unreliabilities corresponding to the local section to comprehensively judge its path allocation priority, so that the greater the path allocation priority, the higher the priority of selecting this local section, that is, this local section is more suitable for transporting goods.

[0074] In a specific implementation manner of the embodiment of the present invention, the process of obtaining the path allocation priority is expressed by the formula: ; where is the path allocation priority of the th local section; is the number of types of goods that the th local section can transport; is the unreliability when the th kind of goods is transported through the th local section; is the exponential function with the natural constant as the base; is the linear normalization function.

[0075] Step S104: Under each combination of goods transportation, determine the final selectability of each traceability transportation path according to the overall magnitude of the path allocation priorities of each local section on the corresponding traceability transportation path; and screen out the optimal supply chain path according to the final selectability.

[0076] Considering that the transportation of goods usually involves the joint transportation of multiple goods, different combinations of goods transportation will thus arise. Since some goods are restricted in certain local sections or spatial analysis regions, the selection of the corresponding traceable transportation paths will also be restricted. A goods transportation combination can consist of only one good or multiple goods. Under each goods transportation combination, the corresponding traceable transportation paths can be retrieved from the logistics park supply chain database. Therefore, when transporting each goods transportation combination, the selectability of each traceable transportation path is analyzed to determine the optimal supply chain path for transporting the goods transportation combination.

[0077] Preferably, in some possible implementation manners of the embodiments of the present invention, the process of obtaining the final selectability includes:

[0078] Under each goods transportation combination, the average value of the path allocation priorities of all local sections on each traceable transportation path is used as the final selectability of each traceable transportation path. For a traceable transportation path capable of transporting the corresponding goods transportation combination, the higher the overall path allocation priority of its corresponding local sections, the higher the reliability of the goods transportation on this traceable transportation path. Therefore, the corresponding selectability is higher, and it is more suitable as the optimal supply chain path.

[0079] In a specific implementation manner of the embodiments of the present invention, the process of obtaining the final selectability is expressed by the formula: ; where is the final selectability of the th traceable transportation path under the th goods transportation combination; is the number of local sections of the th traceable transportation path under the th goods transportation combination; is the path allocation priority of the th local section of the th traceable transportation path under the th goods transportation combination.

[0080] Finally, the optimal supply chain path can be selected according to the final selectabilities of all traceable transportation paths of each goods transportation combination. In a specific implementation manner of the embodiments of the present invention, the traceable transportation path with the maximum final selectability under each goods transportation combination is used as the corresponding optimal supply chain path. Further, transportation is carried out according to the optimal supply chain paths of each goods transportation combination, making the transportation process more reasonable, and traceability analysis is performed based on the obtained fixed optimal supply chain path, making the effect of logistics park supply chain traceability better.

[0081] In summary, the present application first makes a preliminary evaluation of the degree of goods loss based on the relative loss of the quality of goods at the starting point and the ending point on different traceable transportation paths, and then evaluates the unreliability of each local section according to the performance of goods loss on the traceable transportation paths passing through each local section; and determines the priority of path allocation in combination with the types of goods that can be transported compatibly by each local section, so as to evaluate the overall final selectability of the traceable transportation path including multiple local sections as a whole, and finally screen out the optimal supply chain path with higher accuracy and robustness for transportation, so that the effect of supply chain traceability according to the optimal supply chain path is better.

[0082] The present application also provides a logistics park supply chain traceability system based on a BIM model. Please refer to Figure 2 , which shows the structural diagram of a logistics park supply chain traceability system based on a BIM model provided by an embodiment of the present invention. The system includes: a data collection and preprocessing module 201, a first determination module 202, a second determination module 203, and an optimal supply chain path screening module 204.

[0083] The data collection and preprocessing module 201 is used to collect all local sections in all traceable transportation paths of the logistics park supply chain based on the BIM model;

[0084] The first determination module 202 is used to determine the corresponding degree of goods loss according to the relative loss of each type of goods during transportation in each transportation batch on each traceable transportation path;

[0085] The second determination module 203 is used to determine the corresponding unreliability according to the fluctuation and overall magnitude of the degree of goods loss corresponding to each traceable transportation path passing through each local section during the transportation of each type of goods; and determine the path allocation priority of each local section according to the types of goods that can be transported by each local section and the overall magnitude of the corresponding unreliability when transporting various goods;

[0086] The optimal supply chain path screening module 204 is used to determine the final selectability of each traceable transportation path according to the overall magnitude of the path allocation priority of each local section on each traceable transportation path corresponding to each goods transportation combination; and screen out the optimal supply chain path according to the final selectability.

[0087] It should be noted that for the system provided in the above embodiments, only the division of the above functional modules is used for illustration. In actual applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the computer device is divided into different functional modules to complete all or part of the functions described above. In addition, a logistics park supply chain traceability system based on a BIM model and a method embodiment of a logistics park supply chain traceability method based on a BIM model provided in the above embodiments belong to the same concept. The specific implementation process can be seen in the method embodiment and will not be repeated here.

[0088] An embodiment of the present application also provides a computer device. Please refer to Figure 3 , which shows a schematic structural diagram of a computer device provided in an embodiment of the present invention. The computer device includes a memory 301, a processor 302, and a computer program 303 stored in the memory 301 and running on the processor 302. When the processor 302 executes the computer program 303, the computer device can execute any one of the logistics park supply chain traceability methods based on a BIM model introduced above.

[0089] An embodiment of the present application also provides a computer program product. When the computer program product runs on a computer device, the computer device can execute any one of the logistics park supply chain traceability methods introduced above.

[0090] An embodiment of the present application also provides a computer-readable storage medium. Computer program code is stored in the computer-readable storage medium. When the computer program code runs on a computer device, the computer device can execute any one of the logistics park supply chain traceability methods introduced above.

[0091] In the embodiments provided in the present application, it should be understood that the provided computer device, computer program product, and computer-readable storage medium are all used to execute the corresponding methods provided above. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the methods provided above and will not be repeated here.

[0092] It should be noted that the above sequence of embodiments of the present invention is only for description and does not represent the advantages or disadvantages of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be beneficial.

[0093] Each embodiment in this specification is described in a progressive manner. The same or similar parts between each embodiment can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. A supply chain traceability method for a logistics park based on a BIM model, characterized in that, The method includes: Collecting all local sections in all traceable transportation paths of the logistics park supply chain based on the BIM model; Determining the corresponding degree of goods loss according to the relative loss situation of each type of goods during transportation in each transportation batch of each traceable transportation path; Determining the corresponding unreliability according to the fluctuation situation and overall size of the degree of goods loss corresponding to each traceable transportation path when each type of goods passes through each local section during transportation; determining the path allocation priority of each local section according to the types of goods that each local section can transport and the overall size of the corresponding unreliability when transporting various goods; Under each goods transportation combination, determining the final selectability of each traceable transportation path according to the overall size of the path allocation priority of each local section on the corresponding traceable transportation path; screening out the optimal supply chain path according to the final selectability; The process of obtaining the degree of goods loss includes: Constructing a sample space with each quality evaluation dimension of each type of goods as the coordinate axis and the quantified and normalized numerical value of each quality evaluation dimension as the coordinate axis value; in the sample space, taking the coordinate point corresponding to the starting point of the traceable transportation path when each type of goods is transported in each transportation batch as the first coordinate point; taking the coordinate point corresponding to the end point of the traceable transportation path when each type of goods is transported in each transportation batch as the second coordinate point; Performing DBSCAN density clustering on all the first coordinate points and all the second coordinate points corresponding to each type of goods in all transportation batches to obtain all coordinate point clustering clusters; Determining the corresponding overall loss degree according to the position deviation situation between the coordinate point clustering cluster corresponding to the first coordinate point and the coordinate point clustering cluster corresponding to the second coordinate point for each type of goods in each transportation batch; Determining the corresponding local loss degree according to the numerical deviation distribution situation of the first coordinate point and the second coordinate point of each type of goods in each transportation batch in each quality evaluation dimension; Determining the corresponding degree of goods loss according to the overall numerical size of the overall loss degree and local loss degree corresponding to each transportation batch of each type of goods on each traceable transportation path.

2. The method for tracing the supply chain of a logistics park based on a BIM model according to claim 1, wherein The process of obtaining the overall loss degree includes: Taking the Euclidean distance between the center point of the coordinate point clustering cluster where the first coordinate point corresponding to each type of goods in each transportation batch is located and the center point of the coordinate point clustering cluster where the corresponding second coordinate point is located as the corresponding overall loss degree.

3. A method for tracing the supply chain of a logistics park based on a BIM model according to claim 1, characterized in that, The process of obtaining the local loss degree includes: Taking the difference between the first coordinate point and the second coordinate point in each quality evaluation dimension as the corresponding reference loss value; taking the maximum value of the reference loss values of each type of goods in each transportation batch in all quality evaluation dimensions as the local loss degree of each type of goods in each transportation batch.

4. A method for tracing the supply chain of a logistics park based on a BIM model according to claim 1, characterized in that The process of determining the corresponding degree of goods loss according to the overall numerical size of the overall loss degree and local loss degree corresponding to each transportation batch of each type of goods on each traceable transportation path includes: Determine the relative loss degree of each type of goods during transportation in each transportation batch according to the product of the positive correlation mapping value of the overall loss degree and the local loss degree; Determine the goods loss degree of each type of goods on each traceable transportation path according to the average value of the relative loss degrees of each type of goods during transportation in all transportation batches on each traceable transportation path.

5. A method for tracing the supply chain of a logistics park based on a BIM model according to claim 1, characterized in that The process of obtaining the unreliability includes: Take all the traceable transportation paths including each local section during the transportation of each type of goods as the reference paths for each local section; take the negative correlation mapping value of the range of the goods loss degrees of each type of goods under all reference paths as the section influence weight; Determine the unreliability of each type of goods passing through each local section during transportation according to the product of the average value of the goods loss degrees of each type of goods under all reference paths and the section influence weight.

6. A method for tracing the supply chain of a logistics park based on a BIM model according to claim 1, characterized in that, The process of obtaining the path allocation priority includes: Take the normalized value of the number of types of goods that each local section can transport as the quantity weight; determine the path allocation priority of each local section according to the product of the negative correlation mapping value of the average value of all the unreliabilities corresponding to all the types of goods that each local section can transport and the quantity weight.

7. A supply chain traceability method for a logistics park based on a BIM model according to claim 1, characterized in that, The process of obtaining the final selectability includes: Under each goods transportation combination, take the average value of the path allocation priorities of all local sections on each traceable transportation path as the final selectability of each traceable transportation path.

8. A method for tracing the supply chain of a logistics park based on a BIM model according to claim 1, characterized in that, The process of obtaining the optimal supply chain path includes: Take the traceable transportation path with the maximum final selectability under each goods transportation combination as the corresponding optimal supply chain path.

9. A logistics park supply chain traceability system based on a BIM model, characterized in that, The system includes: A data collection and preprocessing module, used to collect all local sections in all traceable transportation paths of the logistics park supply chain based on the BIM model; A first determination module, which determines the corresponding goods loss degree according to the relative loss situation of each type of goods during transportation in each transportation batch on each traceable transportation path; The process of obtaining the goods loss degree includes: Construct a sample space with each quality evaluation dimension of each type of goods as the coordinate axis and the quantified and normalized numerical value of each quality evaluation dimension as the coordinate axis value; in the sample space, take the coordinate point corresponding to the starting point of the traceable transportation path when each type of goods is transported in each transportation batch as the first coordinate point; take the coordinate point corresponding to the end point of the traceable transportation path when each type of goods is transported in each transportation batch as the second coordinate point; Perform DBSCAN density clustering on all the first coordinate points and all the second coordinate points corresponding to each type of goods in all transportation batches to obtain all coordinate point clustering clusters; Determine the corresponding overall loss degree according to the position deviation situation between the coordinate point clustering cluster corresponding to the first coordinate point and the coordinate point clustering cluster corresponding to the second coordinate point of each type of goods in each transportation batch; Determine the corresponding local loss degree according to the numerical deviation distribution situation of the first coordinate point and the second coordinate point of each type of goods in each transportation batch in each quality evaluation dimension; Determine the corresponding degree of goods loss according to the overall numerical magnitudes of the overall loss degree and the local loss degree corresponding to each transportation batch of each kind of goods on each traceable transportation path. A second determination module, configured to obtain the traceable transportation paths excluding the abnormal analysis area and the degree of goods loss indicating the overall defect performance when transporting each kind of goods; determine the corresponding unreliability according to the fluctuation situation and the overall magnitude of the degree of goods loss corresponding to each traceable transportation path passing through each local section when transporting each kind of goods; determine the path allocation priority of each local section according to the types of goods that each local section can transport and the overall magnitude of the corresponding unreliability when transporting various types of goods. An optimal supply chain path screening module, configured to, under each goods transportation combination, determine the final selectability of each traceable transportation path according to the overall magnitude of the path allocation priority of each local section on the corresponding traceable transportation path; screen out the optimal supply chain path according to the final selectability.

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