Logistics park supply chain tracing method and system based on BIM model

Abstract

The invention relates to the technical field of logistics transportation, in particular to a logistics park supply chain traceability method and system based on a BIM model, and the method comprises the steps: firstly, carrying out the preliminary evaluation of the cargo loss degree according to the quality relative loss conditions of cargoes at a starting point and a terminal point on different traceability transportation paths; evaluating the unreliability of each local road section according to the cargo loss performance on the traceability transportation path passing through each local road section; and the path distribution priority is determined by combining the types of goods which can be transported in a compatible manner in each local road section, so that overall final selectability evaluation is performed on the traceability transportation path comprising a plurality of local road sections, and finally, an optimal supply chain path with higher accuracy and robustness is screened out for transportation. And the effect of tracing the source of the supply chain 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 supply chain of 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, and avoid bumpy sections to prevent mechanical damage 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 of section characteristics such as rugged mountain roads, rainy areas, high-temperature corridors, etc. with the needs of goods. For example, the same winding road section may have less 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 a combined shipment of different types of goods, 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 transportation path according to the loss situation of goods transportation, making the robustness of the evaluation results poor; that is, 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. Summary of the Invention

[0005] In order to solve the technical problem 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 the present application is to provide a method and system for tracing the supply chain of a logistics park based on a BIM model, and the specific technical solutions adopted are as follows: The first aspect of the present application provides a method for tracing the supply chain of a logistics park based on a BIM model, including: Collecting all local sections in all traceability 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 when transporting each batch of each type of goods on each traceability transportation path; Determine the corresponding unreliability according to the fluctuation and overall magnitude of the loss degree of the goods corresponding to each traceable transportation path when each kind 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 magnitude of the corresponding unreliability when transporting various goods. 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.

[0006] Furthermore, the process of obtaining the loss degree of the goods includes: Construct a sample space with each quality evaluation dimension of each kind 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 kind 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 kind 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 kind of goods in all transportation batches to obtain all coordinate point clustering clusters. Determine the corresponding overall loss degree according to the position deviation 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 kind of goods in each transportation batch. 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. Determine the corresponding loss degree of the goods according to the overall numerical magnitude 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.

[0007] Furthermore, the process of obtaining the overall loss degree includes: Take the Euclidean distance between the center point of the coordinate point clustering cluster where the first coordinate point corresponding to each kind 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.

[0008] Furthermore, the process of obtaining the local loss degree includes: 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 type of goods in all quality evaluation dimensions of each transportation batch as the local loss degree of each type of goods in each transportation batch.

[0009] Further, 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 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 mean value of the relative loss degrees of each type of goods during transportation in all transportation batches on each traceable transportation path.

[0010] Further, 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 of 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 mean value of the goods loss degrees of each type of goods under all reference paths and the section influence weight.

[0011] Further, 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 mean value of all unreliabilities corresponding to all types of goods that each local section can transport and the quantity weight.

[0012] Further, the process of obtaining the final selectability includes: Under each goods transportation combination, take 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.

[0013] Further, the process of obtaining the optimal supply chain path includes: Take the traceable transportation path with the largest final selectability under each goods transportation combination as the corresponding optimal supply chain path.

[0014] In a second aspect, the present application provides a logistics park supply chain traceability system based on a BIM model, and the system includes: A data acquisition and preprocessing module for collecting all local road segments in all traceable transportation paths of the logistics park supply chain based on the BIM model; A first determination module for 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; A second determination module for obtaining the traceable transportation paths that do not include the abnormal analysis area and the degree of goods loss that characterizes the overall defect performance when transporting each type of goods; determining the corresponding unreliability according to the fluctuation situation and the overall size of the degree of goods loss corresponding to each traceable transportation path passing through each local road segment when transporting each type of goods; determining the path allocation priority of each local road segment according to the types of goods that each local road segment can transport and the overall size of the corresponding unreliability when transporting various types of goods; An optimal supply chain path screening module for determining the final selectability of each traceable transportation path according to the overall size of the path allocation priority of each local road segment on the corresponding traceable transportation path under each goods transportation combination; screening out the optimal supply chain path according to the final selectability.

[0015] In a third aspect, the present application provides a computer device including a memory and a processor. The memory is used for storing computer program code, and the processor is used for calling and running 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.

[0016] In a fourth aspect, the present application provides a computer program product, where the computer program product includes computer program code, and when the computer program code is executed, it is used to execute the method as described in the first aspect or any embodiment of the first aspect of the present application.

[0017] In a fifth aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium stores computer program code, and when the computer program code is executed, it is used to execute the method as described in the first aspect or any embodiment of the first aspect of the present application.

[0018] The present application has the following beneficial effects: This application first makes a preliminary evaluation of the degree of goods loss based on the relative mass loss of goods at the starting point and the ending point on different traceable transportation paths. Then, it evaluates the unreliability of each local section according to the goods loss performance on the traceable transportation path passing through each local section; and determines the priority of path allocation in combination with the types of goods that can be compatibly transported in each local section, so as to overall evaluate the final selectability of the traceable 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

[0019] 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 also be obtained based on these drawings.

[0020] Figure 1 Flowchart of a logistics park supply chain traceability method based on a BIM model provided by an embodiment of the present invention; Figure 2 Structural diagram of a logistics park supply chain traceability system based on a BIM model provided by an embodiment of the present invention; Figure 3 Structural schematic diagram of a computer device provided by an embodiment of the present invention. Detailed Embodiments

[0021] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following, in combination with the drawings and preferred embodiments, details the specific embodiments, structures, features and effects of a logistics park supply chain traceability method and system 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 understood as implying or suggesting relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" can explicitly or implicitly include one or more of these features.

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs.

[0023] The following specifically describes the specific solutions of a logistics park supply chain traceability method and system provided by the present invention in conjunction with the accompanying drawings.

[0024] An embodiment of the present application provides a logistics park supply chain traceability method based on a BIM model. Please refer to Figure 1 , which shows a flowchart of a logistics park supply chain traceability method based on a BIM model provided by an embodiment of the present invention. The method includes: Step S101: Collect all local sections in all traceability transportation paths of the logistics park supply chain based on the BIM model.

[0025] In a specific implementation manner of the embodiment of the present invention, first extract each traceability 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 traceability transportation path.

[0026] In a specific implementation manner of the embodiment of the present invention, use the overlapping sections between all traceability 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 traceability transportation paths as the dividing points, and divide each traceability transportation path into each local section. The division of local sections with the help of the divided sections enables the local sections to correspond to multiple traceability paths, making the basis for selecting the optimal supply chain path more referenceable.

[0027] 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 traceability transportation path.

[0028] During the transportation of goods from the starting point to the ending point, different traceability transportation paths may be selected to transport the goods. The conditions such as climate and road conditions reflected by different traceability 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 traceability transportation path, and preliminarily measure the degree of goods loss.

[0029] Preferably, in some possible implementation manners of the embodiment of the present invention, the process of obtaining the degree of goods loss includes: Construct a sample space with the respective quality evaluation dimensions of each type of goods as 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 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 the respective quality evaluation dimensions; when the type of goods is precision instruments, the packaging integrity, temperature, and humidity are 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.

[0030] 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 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.

[0031] 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 means that the changes in each quality evaluation dimension of the goods under the corresponding transportation batch are greater. The change in the quality evaluation dimension value will cause losses to the goods. Therefore, the greater the overall loss degree obtained, the more serious the loss of the goods.

[0032] 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: 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 in 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 between 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.

[0033] 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: 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, so 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.

[0034] In a specific implementation manner of the embodiments of the present invention, the process of obtaining the goods loss degree is represented by the formula: ; where is the goods loss degree of the th kind of goods on the th traceable transportation path; is the total number of transportation batches of the th kind of goods on the th traceable transportation path; is the overall loss degree of the type of goods in the th traceability transportation path at the th transportation batch; is the maximum value of the overall loss degree of the type of goods on all transportation batches in the th traceability transportation path; is the reference loss value of the type of goods in the th traceability transportation path at the th transportation batch for the th quality evaluation dimension; is the maximum value selection function, is the maximum value of the reference loss values of all quality evaluation dimensions at the th transportation batch of the type of goods in the th traceability transportation path, that is, the corresponding local loss degree; is the relative loss degree during transportation at the th transportation batch of the type of goods in the th traceability transportation path; Through positive correlation mapping can avoid the influence of the overall loss degree taking the value of 0 on the calculation result, and through the normalization method, the value of the overall loss degree is restricted to reduce the influence of the dimension.

[0035] 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 of each type of goods passing through each local section during transportation; 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 goods.

[0036] For each local section, there are usually multiple normal traceability paths passing through it. If the various traceability transportation paths including the corresponding local section all show a high degree of goods loss when transporting a certain specific type of goods, it means that this local section is less suitable for transporting this certain specific type of goods. In order to more accurately judge the unreliability when each local section transports each type of goods, so a more accurate analysis is carried out by combining all the traceability transportation paths including each local section as a whole.

[0037] Preferably, in some possible implementation manners of the embodiments of the present invention, the process of obtaining the unreliability includes: When transporting each type of goods, all the traceable transportation paths including each local section are used as the reference paths for each local section; the negative correlation mapping value of the range of the goods loss degree of each type of goods under all reference paths is used as the section influence weight; 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, the unreliability of each type of goods passing through each local section during transportation is determined.

[0038] For all the reference paths corresponding to each local section, the smaller the range of the goods loss degree, the less the influence of other sections on the transportation of the corresponding type of goods in this local section, that is, the greater the influence weight of this local section on the overall defect of the section; in addition, the greater the mean value of the goods loss degree of all the reference paths corresponding to each local section, the more unreliable the transportation of the corresponding type of goods in this local section; therefore, the section influence weight and the mean value of the goods loss degree of the corresponding type of goods under all reference paths are multiplied and weighted to make the obtained unreliability more accurate.

[0039] 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 under all reference paths in the th local section during transportation; is the minimum value of the goods loss degree of the th type of goods during transportation under all reference paths in the th local section; is the range of the goods loss degree of the th type of goods during transportation under all reference paths in the th local section; is the number of reference paths of the th type of goods in 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 in 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 in the The road section impact weight of a local road section.

[0040] The unreliability only characterizes the unreasonable situation when each local road section transports a certain kind of goods. However, each local road section usually transports multiple kinds of goods. Therefore, further combine the unreliability when each local road section transports all goods to conduct a comprehensive analysis of the path allocation priority, so as to comprehensively evaluate each traceability transport path in combination with the path allocation priority.

[0041] Preferably, in some possible implementation manners of the embodiment of the present invention, the process of obtaining the path allocation priority includes: Take the normalized value of the number of types of goods that each local road section can transport as the quantity weight; determine the path allocation priority of each local road 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 road section can transport and the quantity weight. For each local road section, the more types of goods it can transport, the better the compatibility of the local path when transporting different goods, and the higher the priority assigned to it. Therefore, it is analyzed as the quantity weight; further, on the basis of the quantity weight, combine the mean value of all unreliabilities corresponding to the local road section to comprehensively judge its path allocation priority, so that when the path allocation priority is larger, the priority of selecting this local road section is higher, that is, this local road section is more suitable for transporting goods.

[0042] 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 road section; is the number of types of goods that the th local road section can transport; is the unreliability when the th kind of goods is transported through the th local road section; is the exponential function with the natural constant as the base; is the linear normalization function.

[0043] Step S104: Under each combination of goods transportation, determine the final selectability of each traceability transport path according to the overall magnitude of the path allocation priorities of each local road section on the corresponding traceability transport path; screen out the optimal supply chain path according to the final selectability.

[0044] Considering that the transportation of goods is usually 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 areas, 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.

[0045] Preferably, in some possible implementation manners of the embodiments of the present invention, the process of obtaining the final selectability includes: 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 transporting goods on this traceable transportation path. Therefore, the corresponding selectability is higher, and it is more suitable as the optimal supply chain path.

[0046] 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.

[0047] 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 paths, making the traceability effect of the logistics park supply chain better.

[0048] In summary, the present application first makes a preliminary evaluation of the degree of goods loss based on the relative loss of goods quality at the starting point and the ending point of different traceable transportation paths. Then, it evaluates the unreliability of each local section according to the performance of goods loss on the traceable transportation paths passing through each local section. It also determines the priority of path allocation by combining the types of goods that each local section can compatibly transport, so as to evaluate the overall final selectability of the traceable transportation path including multiple local sections as a whole. Finally, it screens 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.

[0049] 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 structure 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.

[0050] 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; The first determination module 202 is used to 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; The second determination module 203 is used to determine the corresponding unreliability according to the fluctuation situation and overall size of the degree of goods loss corresponding to each traceable transportation path passing through each local section when each type of goods is transported; and determine 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; The optimal supply chain path screening module 204 is used to determine the final selectability of each traceable transportation path according to the overall size of the path allocation priority of each local section on each corresponding traceable transportation path under each goods transportation combination; and screen out the optimal supply chain path according to the final selectability.

[0051] It should be noted that for the system provided in the above embodiment, only the above division of each functional module is used for illustration. In practical 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 provided in the above embodiment and an embodiment of a logistics park supply chain traceability method based on a BIM model belong to the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0052] The embodiments of the present application further provide a computer device. Please refer to Figure 3 , which shows a schematic structural diagram of a computer device provided by 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 aforementioned logistics park supply chain traceability methods based on the BIM model.

[0053] The embodiments of the present application further provide a computer program product. When the computer program product runs on a computer device, the computer device can execute any one of the aforementioned logistics park supply chain traceability methods based on the BIM model.

[0054] The embodiments of the present application further provide 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 aforementioned logistics park supply chain traceability methods based on the BIM model.

[0055] 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 elaborated here.

[0056] It should be noted that the above-mentioned sequence of the embodiments of the present invention is only for description and does not represent the superiority or inferiority 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 advantageous.

[0057] Each embodiment in this specification is described in a progressive manner. The same or similar parts among the embodiments can be referred to each other, and the key points of each embodiment are the differences from other embodiments.

Claims

1. A logistics park supply chain traceability method based on BIM model, characterized in that: The method comprises: Collect all local sections of all traceability transportation routes in the logistics park supply chain based on the BIM model; Determine the corresponding degree of cargo loss based on the relative loss of each cargo during transportation in each transport batch along each traceability transport route; Determine the corresponding unreliability based on the fluctuation of cargo loss and the overall size of each traceability transport path when transporting each cargo through each local section; determine the path allocation priority of each local section based on the types of cargo that can be transported by each local section and the overall size of the unreliability when transporting various cargoes; Under each cargo transportation combination, the final selectivity of each traceability transportation path is determined according to the overall size of the path allocation priority of each local section on each corresponding traceability transportation path; and the optimal supply chain path is screened out according to the final selectivity.

2. According to the BIM model-based logistics park supply chain traceability method of claim 1, it is characterized in that: The process of obtaining the cargo loss degree includes: A sample space is constructed with each quality evaluation dimension of each type of goods as a coordinate axis and a quantized normalized value of each quality evaluation dimension as a coordinate axis value; in the sample space, a coordinate point corresponding to when each type of goods is at the starting point of the traceability transportation path when transported in each transport batch is used as a first coordinate point; a coordinate point corresponding to when each type of goods is at the end point of the traceability transportation path when transported in each transport batch is used as a second coordinate point; Perform DBSCAN density clustering on all first coordinate points and all second coordinate points corresponding to each type of cargo in all transport batches to obtain all coordinate point clustering clusters; Determine the corresponding overall loss degree according to the position deviation between the coordinate point cluster corresponding to the first coordinate point and the coordinate point cluster corresponding to the second coordinate point of each transport batch of each type of goods; Determine the corresponding local loss degree according to the distribution of numerical deviations between the first coordinate point and the second coordinate point of each transport batch of each type of goods in each quality evaluation dimension; The corresponding loss degree of each cargo is determined based on the overall numerical value of the overall loss degree and the local loss degree corresponding to each transport batch of each cargo on each traceability transport route.

3. A logistics park supply chain traceability method based on BIM model according to claim 2, characterized in that: The process of obtaining the overall loss degree includes: The Euclidean distance between the center point of the coordinate point cluster where the first coordinate point corresponding to each transport batch is located and the center point of the coordinate point cluster where the corresponding second coordinate point is located is taken as the corresponding overall loss degree.

4. The BIM model-based logistics park supply chain traceability method according to claim 2 is characterized in that: The process of obtaining the local loss degree includes: The difference between the first coordinate point and the second coordinate point in each quality evaluation dimension is used as the corresponding reference loss value; the maximum reference loss value of each type of goods in all quality evaluation dimensions in each transport batch is used as the local loss degree of each type of goods in each transport batch.

5. The BIM model-based logistics park supply chain traceability method according to claim 2 is characterized in that: The process of determining the corresponding cargo loss degree according to the overall numerical values ​​of the overall loss degree and the local loss degree corresponding to each transport batch of each cargo on each traceability transport route includes: Determine the relative loss degree of each type of goods when transported in each transport batch according to the product of the positive correlation mapping value of the overall loss degree and the local loss degree; The degree of cargo loss of each cargo on each traceability transport route is determined based on the average of the relative degree of loss of each cargo in all transport batches on each traceability transport route.

6. The BIM model-based logistics park supply chain traceability method according to claim 1 is characterized in that: The process of obtaining the unreliability includes: All traceable transportation routes that include each local section during the transportation of each type of goods are used as reference routes for each local section; the negative correlation mapping value of the extreme difference in the degree of loss of each type of goods under all reference routes is used as the section impact weight; The unreliability of each type of cargo when transported through each local road section is determined based on the product of the average value of the cargo loss degree of each type of cargo under all reference paths and the road section influence weight.

7. The BIM model-based logistics park supply chain traceability method according to claim 1 is characterized in that: The process of obtaining the path allocation priority includes: The normalized value of the number of types of goods that can be transported by each local road section is used as the quantity weight; the path allocation priority of each local road section is determined according to the product of the negative correlation mapping value of the mean of all unreliability values ​​corresponding to all types of goods that can be transported by each local road section and the quantity weight.

8. The BIM model-based logistics park supply chain traceability method according to claim 1 is characterized in that: The process of obtaining the final optional degree includes: Under each cargo transportation combination, the average of the path allocation priorities of all local sections on each traceability transportation path is taken as the final selectivity of each traceability transportation path.

9. The BIM model-based logistics park supply chain traceability method according to claim 1 is characterized in that: The process of obtaining the optimal supply chain path includes: The traceability transportation path with the highest degree of final selectivity under each cargo transportation combination is taken as the corresponding optimal supply chain path.

10. A logistics park supply chain traceability system based on BIM model, characterized in that: The system comprises: The data collection preprocessing module is used to collect all local sections of all traceability transportation routes in the logistics park supply chain based on the BIM model; The first determination module determines the corresponding loss degree of goods according to the relative loss of each type of goods during transportation in each transportation batch of each traceability transportation route; The second determination module is used to obtain the traceability transportation path that does not include the abnormal analysis area and the cargo loss degree that characterizes the overall defect performance of each cargo when transporting; determine the corresponding unreliability according to the fluctuation and overall size of the cargo loss degree corresponding to each traceability transportation path passing through each local section when transporting each cargo; determine the path allocation priority of each local section according to the types of cargo that can be transported by each local section and the overall size of the unreliability when transporting various types of cargo; The optimal supply chain path screening module is used to determine the final selectivity of each traceability transport path under each cargo transportation combination according to the overall size of the path allocation priority of each local section on each corresponding traceability transport path; and screen out the optimal supply chain path based on the final selectivity.

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