A logistics data management system and method based on data collaboration

By conducting fault risk assessment and approximate assessment of cargo transportation routes for port transportation equipment, intelligent adjustment of transportation equipment assisted transportation and logistics scheduling is achieved, solving the problems of reducing logistics efficiency and inability to intelligently adjust strategies in the existing technology, and improving the intelligent management capabilities of port logistics.

CN118735385BInactive Publication Date: 2025-03-14JINGJIANG XINHUA PORT CO LTD
View PDF 1 Cites 0 Cited by

Patent Information

Application Number
CN202411088158.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-08-09
Publication Date
2025-03-14
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing port logistics management system relies on pre-set strategies in scheduling and decision-making, ignoring problems such as damage to transportation equipment, resulting in reduced logistics efficiency and inability to intelligently adjust strategies to deal with transportation equipment maintenance and other situations.

Method used

By obtaining the historical failure records and current transportation data of the transportation equipment, the equipment risk assessment is carried out and equipment with a risk of failure is marked. Then, evaluate the approximate degree of the cargo transportation route of the transportation equipment, assist the transportation equipment in transportation, and adjust the logistics scheduling strategy when the transportation equipment needs to be repaired.

Benefits of technology

Intelligent management of port logistics is realized, the impact of transportation equipment on logistics is taken into account, logistics efficiency is improved, and adaptability to complex and variable situations is enhanced, avoiding the reduction in logistics efficiency caused by damage to transportation equipment and maintenance.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN118735385B_ABST
    Figure CN118735385B_ABST
Patent Text Reader

Abstract

The present invention relates to the technical field of logistics data management, and specifically to a logistics data management system and method based on data collaboration, including performing equipment risk assessment on the equipment status of transportation equipment in a current cycle to obtain marked transportation equipment; assessing the degree of similarity between the transportation equipment at a port and the cargo transportation route of the marked transportation equipment to obtain assisting transportation equipment; obtaining reference transportation data of the marked transportation equipment, and adjusting the transportation status of the assisting transportation equipment in combination with the equipment transportation data of the assisting transportation equipment to obtain target equipment transportation data; inspecting the marked transportation equipment at the port in the current cycle to obtain target equipment transportation data of the assisting transportation equipment of the marked transportation equipment, dispatching assisting transportation equipment to assist in the transportation of cargo transported by the marked transportation equipment based on the target equipment transportation data, and performing intelligent management of logistics within the port.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present invention relates to the technical field of logistics data management, and in particular to a logistics data management system and method based on data collaboration. Background Art

[0002] Data collaboration technology is a technology that improves the availability, accuracy and practicality of data by integrating and sharing data from different sources. In the logistics process, data from multiple different links are involved. The use of data collaboration technology can bring the following benefits to logistics data management: 1. Providing link transparency. Data collaboration technology can centrally manage data from different links, making each link in the logistics process more transparent, understanding the status of goods in real time, and reducing the risks caused by information asymmetry; 2. Optimizing resource allocation. Through the integration and analysis of multi-party data, the bottleneck of resource use can be identified, so as to optimize the logistics transportation route accordingly, improve the efficiency of goods transportation and reduce the transportation cost of goods. 3. Identifying risks. Through the analysis of historical logistics data and the prediction of models, potential risks can be identified in a timely manner, and corresponding risk management strategies can be formulated to reduce operational risks.

[0003] In the intelligent management of port logistics, the existing technology can already achieve the management of port logistics with only a small amount of manpower, which improves the logistics efficiency of the port. However, there are still some shortcomings in the logistics management of the port. For example, the smart port comprehensive management system with application number 202210777851.1 realizes the online user reservation, intelligent container allocation and ship scheduling, and improves the logistics efficiency during the port operation. However, there is a problem with the application document. The application document only finds the preset scheduling strategy that meets the requirements based on the general situation of the logistics data, and then schedules the ships and cargoes in the port according to the preset scheduling strategy. Although this method can improve the logistics efficiency in the process of cargo logistics, most of it relies on the established strategies when scheduling and making decisions, and ignores the impact of damage to transportation equipment and other problems on port cargo transportation during transportation. It is also impossible to intelligently adjust the logistics scheduling strategy in the port when the transportation equipment needs to be repaired, thereby greatly reducing the logistics efficiency of the port and affecting the normal cargo transportation in the port. Summary of the invention

[0004] The purpose of the present invention is to provide a logistics data management system and method based on data collaboration to solve the problems existing in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a logistics data management method based on data collaboration, the method comprising:

[0006] Step S100: acquiring historical equipment failure records of the transport equipment in the port, acquiring the transport data of the transport equipment in the current period, performing equipment risk assessment on the equipment status of the transport equipment in the current period, and obtaining marked transport equipment;

[0007] Step S200: obtaining a reference transport route of the marked transport equipment of the port, obtaining equipment transport data of the transport equipment in the port, evaluating the degree of similarity between the transport equipment of the port and the cargo transport route of the marked transport equipment, and obtaining assisting transport equipment;

[0008] Step S300: Acquire reference transportation data of the marked transportation equipment, and adjust the transportation status of the assisting transportation equipment in combination with the equipment transportation data of the assisting transportation equipment to obtain the transportation data of the target equipment;

[0009] Step S400: Inspect the marked transport equipment of the port in the current cycle, obtain the target equipment transportation data of the assisting transport equipment of the marked transport equipment, dispatch assisting transport equipment to assist in the transportation of the goods transported by the marked transport equipment based on the target equipment transportation data, and intelligently manage the logistics within the port.

[0010] Furthermore, step S100 includes:

[0011] Step S101: Obtain historical equipment failure records of transportation equipment used for cargo transportation in the port in the current period, and obtain historical equipment failure data from the historical equipment failure records, the historical equipment failure data including the total operation time of the equipment when the transportation equipment fails;

[0012] Step S102: Calculate the equipment failure frequency A=n / ∑ of the transportation equipment in the current cycle i=1 i=n T i,sum , where n represents the total number of historical equipment failure records of transportation equipment, T i,sum It is represented by the total equipment operation time of the transportation equipment when it fails in the i-th historical equipment failure record of the transportation equipment;

[0013] Step S103: The total repair time T for equipment failures of transportation equipment in the current cycle repair,sum Obtain and calculate the average equipment repair time T of the transportation equipment MTTR =T repair,sum / n;

[0014] Step S104: Obtain the transport load H of the transport equipment in the current cycle and obtain the reference transport load H of the transport equipment △ , calculate the equipment usage intensity W=H / H of the transportation equipment in the current cycle△ ;

[0015] Step S105: Calculate the equipment risk score of the transportation equipment in the current period z=ɑ1+ɑ2×A+ɑ3×T MTTR +ɑ4×W, where ɑ1, ɑ2, ɑ3 and ɑ4 represent the preset first equipment risk weight value, second equipment risk weight value, third risk weight value and fourth risk weight value respectively;

[0016] Step S106: Calculate the equipment failure risk value P of the transportation equipment in the current cycle = 1 / (1+e -z ), when the equipment failure risk value of the transport equipment in the current cycle is greater than the preset equipment failure risk threshold, it is determined that the transport equipment has an equipment failure risk in the current cycle, and the transport equipment is marked as a marked transport equipment.

[0017] Further, step S200 includes:

[0018] Step S201: Acquire the reference transportation route of the marked transportation equipment of the port in the current period, set the unit length, cut the reference transportation route of the marked transportation equipment in the current period at intervals of the unit length, convert the marked transportation route into a series of coordinate points and collect them to obtain the reference transportation route coordinate point set γ of the marked transportation equipment in the current period;

[0019] Step S202: Obtain equipment transportation data of each transportation equipment in the port, obtain the cargo transportation route of each transportation equipment from the equipment transportation data, and obtain the transportation coordinate point set of each transportation equipment in the current cycle based on the cargo transportation route, wherein the transportation coordinate point set R of the Qth transportation equipment in the port in the current cycle is Q ={(x Q 1 ,y Q 1 ),(x Q 2 ,y Q 2 ),(x Q 3 ,y Q 3 ),...,(x Q n ,y Q n )},(x Q 1 ,y Q 1 ),(x Q 2 ,y Q 2 ),(xQ 3 ,y Q 3 ),...,(x Q n ,y Q n ) are respectively represented as the 1st, 2nd, 3rd, ..., nth coordinate points of the Qth transport equipment when transporting goods in the current cycle, and the cargo transportation coordinate point set R Q The distance between adjacent coordinate points is unit length;

[0020] Step S203: Establish an array dQ between the marked transport device and the Qth transport device, calculate the coordinate points in the reference transport route coordinate point set of the marked transport device and the coordinate point set R of the cargo transport of the Qth transport device. Q The characteristic coordinate distance value between them is the distance between the ath coordinate point in the reference transportation route coordinate point set γ of the marking transportation equipment and the cargo transportation coordinate point set R of the Qth transportation equipment. Q The characteristic coordinate distance value L between aQ :

[0021] ,

[0022] in, , They respectively represent the abscissa and ordinate of the ath coordinate point in the reference transport route coordinate point set γ of the marking transport equipment; , Respectively represent the transport coordinate point set R of the Qth transport equipment Q The horizontal and vertical coordinates of the i-th coordinate point in ;

[0023] Step S204: When the feature coordinate distance value L aQ When the coordinate distance is greater than a preset threshold, it is determined that there is a coordinate point in the Qth transport device that is close to the ath coordinate point of the marked transport device, and the ath coordinate point is recorded as the approximate coordinate point of the marked transport device relative to the Qth transport device, and the approximate coordinate points of the marked transport device relative to the Qth transport device are collected into the array dQ;

[0024] Step S205: Calculate the transport route approximation P=F between the marked transport equipment and the Qth transport equipment in the current cycle dQ / max(γ,R Q ), where F dQ Represents the total number of elements in the array dQ, max(γ,R Q ) represents the reference transportation route coordinate point set γ and the cargo transportation coordinate point set R Q The maximum total number of elements between;

[0025] Step S206: When the transport route approximation value between the marked transport equipment and the Qth transport equipment is greater than the preset transport route approximation threshold, it is determined that the Qth transport equipment has a transport assisting effect on the marked transport equipment in the current cycle, and the Qth transport equipment is recorded as an assisting transport equipment of the marked transport equipment.

[0026] Furthermore, step S300 includes:

[0027] Step S301: Acquire reference transportation data of the marked transportation equipment in the current cycle, the reference transportation data including the total amount of goods transported by the marked transportation equipment in the current cycle;

[0028] Step S302: Acquire the equipment transportation data of the assisting transportation equipment of the marked transportation equipment, acquire the cargo transportation load S of the assisting transportation equipment in the current cycle from the equipment transportation data, and acquire the reference cargo transportation load S of the assisting transportation equipment. sum , obtain the assisting cargo transportation volume S of the assisting transport equipment to the marked transport equipment △ =S sum -S;

[0029] Step S303: obtaining the transport coordinate point sets of each assisting transport device of the marked transport device, obtaining the reference transport route coordinate point set of the marked transport device, obtaining the intersection of the transport coordinate point sets of each assisting transport device and the reference transport route coordinate point set, and obtaining the coordinate points corresponding to the first element and the last element in the intersection of the transport coordinate point sets of each assisting transport device and the reference transport route coordinate point set, and recording the first element and the last element as the starting point coordinate point and the end point coordinate point of the assisting transport device, respectively;

[0030] Step S304: Calculate the characteristic transport distance after assistance of each assisting transport device, wherein the characteristic transport distance U after the βth assisting transport device among the assisting transport devices assists the marking transport device is β :

[0031] ,

[0032] in, , Respectively represent the horizontal and vertical coordinates of the starting point coordinate point of the β-th assisting transportation equipment; , Respectively represent the abscissa and ordinate of the terminal coordinate point of the β-th assisting transport equipment;

[0033] Step S305: Calculate the total amount of cargo assisted transportation S of the β-th assisted transportation equipment △,β sum :

[0034] ,

[0035] Among them, S △,β It is expressed as the assisted cargo transportation volume of the β-th assisted transportation equipment; T β,sum It is represented by the preset total assistance time of the β-th assisting transport equipment; v β It is expressed as the reference rate of the βth assisting transport equipment; T ▽,β It represents the preset time for cargo loading and unloading of the β-th assisting transport equipment;

[0036] Step S306: Obtain the total amount of cargo assisted transportation of the assisted transportation equipment in the current cycle and the coordinate points of the starting point and the end point, and collect them to obtain the target equipment transportation data of the assisted transportation equipment;

[0037] By obtaining the amount of cargo transported by the assisting transport equipment to the marked transport equipment in the above steps, it is possible to determine the amount of cargo that the assisting transport equipment assists in transporting each time when it assists in transporting the marked transport equipment, and it also provides data support for calculating the total amount of cargo assisted in transport by the assisting transport equipment in the next step. By using the total amount of cargo assisted in transport by a single assisting transport equipment, it is possible to further know the total amount of cargo that the assisting transport equipment can assist in transporting for the marked transport equipment in the port, which provides data support for the subsequent management of cargo in the port and greatly increases the efficiency of logistics management.

[0038] Furthermore, step S400 includes:

[0039] Step S401: inspect and repair the marked transport equipment in the current cycle, and obtain the target equipment transportation data of each assisting transport equipment of the marked transport equipment, obtain the total amount of cargo assisted transportation of the assisting transport equipment from the target equipment transportation data and accumulate them to obtain the total amount of characteristic cargo of the marked transport equipment, and send the total amount of characteristic cargo to relevant staff to prompt the staff to adjust the cargo in the port;

[0040] Step S402: Based on the assisted cargo transportation volume of the assisting transportation equipment, place cargo of the assisted cargo transportation volume on the assisting transportation equipment, dispatch the assisting transportation equipment, perform assisted cargo transportation from the starting coordinate point of the assisting transportation equipment to the end coordinate point, and perform intelligent management of logistics within the port.

[0041] In order to better implement the above method, a logistics data management system based on data collaboration is also proposed. The system includes a marking transportation equipment module, an assisting transportation equipment module, a target equipment transportation data module, and a logistics intelligent management module;

[0042] The transport equipment marking module is used to obtain the historical equipment failure records of the transport equipment in the port, obtain the transport data of the transport equipment in the current cycle, conduct equipment risk assessment on the equipment status of the transport equipment in the current cycle, and obtain marked transport equipment;

[0043] The assisting transport equipment module is used to obtain the equipment transport data of the transport equipment in the port, evaluate the degree of similarity between the transport equipment in the port and the cargo transport route of the marked transport equipment, and obtain the assisting transport equipment;

[0044] The target equipment transportation data module is used to obtain the reference transportation data of the marked transportation equipment, and adjust the transportation status of the assisting transportation equipment in combination with the equipment transportation data of the assisting transportation equipment to obtain the target equipment transportation data;

[0045] The intelligent logistics management module is used to inspect and repair the marked transport equipment of the port in the current cycle, obtain the target equipment transportation data of the assisting transport equipment of the marked transport equipment, dispatch assisting transport equipment to assist in the transportation of the goods transported by the marked transport equipment based on the target equipment transportation data, and perform intelligent management of the logistics within the port.

[0046] Further, the marking transport equipment module includes an equipment failure risk value unit and a marking transport equipment unit;

[0047] The equipment failure risk value unit is used to calculate the equipment failure risk value of the transportation equipment in the port in the current period;

[0048] The marking transport equipment unit is used to determine the transport equipment in the port within the current period according to the equipment failure risk value of the transport equipment in the port within the current period, and obtain the marked transport equipment.

[0049] Further, the transport equipment assistance module includes a transport route approximation unit and a transport equipment assistance unit;

[0050] A transport route approximation unit is used to calculate the transport route approximation of the marked transport equipment and each transport equipment in the current cycle;

[0051] The assisting transport equipment unit is used to determine the transport equipment in the current cycle according to the marked transport equipment in the current cycle and the approximate value of the transport routes of each transport equipment, and obtain the assisting transport equipment of the marked transport equipment in the current cycle.

[0052] Further, the target equipment transportation data module includes a cargo assistance transportation total volume unit and a target equipment transportation data unit;

[0053] The cargo assisted transportation total volume unit is used to obtain the reference transportation data of the marked transportation equipment in the current cycle and calculate the cargo assisted transportation total volume of the assisted transportation equipment of the marked transportation equipment;

[0054] The target equipment transportation data unit is used to collect the total amount of cargo assisted transportation of the assisting transportation equipment and the starting point coordinate point and the end point coordinate point to obtain the target equipment transportation data of the assisting transportation equipment.

[0055] Further, the logistics intelligent management module includes a logistics intelligent management unit;

[0056] The logistics intelligent management unit is used to inspect and repair the marked transport equipment in the current cycle, and to obtain the target equipment transportation data of each assisting transport equipment of the marked transport equipment, dispatch the assisting transport equipment to assist in the transportation of goods from the starting coordinate point of the assisting transport equipment to the end coordinate point, and to intelligently manage the logistics within the port.

[0057] Compared with the prior art, the beneficial effects achieved by the present invention are: the present invention realizes the intelligent management of port logistics, takes into account the impact of the transportation equipment for transporting goods on the port logistics, first monitors the equipment status of the port's transportation equipment in the current cycle, and analyzes the equipment status of the transportation equipment, thereby obtaining the transportation equipment with equipment risks, recording it as marked transportation equipment, and using other transportation equipment to assist in the transportation of the goods required by the marked transportation equipment. When the transportation equipment needs to be repaired, the logistics scheduling strategy in the port is adjusted, so that even when some transportation equipment is lost, the logistics efficiency of the port will not be significantly reduced, which greatly enhances the ability of port logistics to adapt to complex and changing situations. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] The accompanying drawings are used to provide a further understanding of the present invention and constitute part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0059] Figure 1 It is a method flow chart of a logistics data management system and method based on data collaboration of the present invention;

[0060] Figure 2 It is a module schematic diagram of a logistics data management system and method based on data collaboration of the present invention. DETAILED DESCRIPTION

[0061] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0062] See also Figure 1-Figure 2 The present invention provides a technical solution: a logistics data management method based on data collaboration, the method comprising:

[0063] Step S100: acquiring historical equipment failure records of the transport equipment in the port, acquiring the transport data of the transport equipment in the current period, performing equipment risk assessment on the equipment status of the transport equipment in the current period, and obtaining marked transport equipment;

[0064] Wherein, step S100 includes:

[0065] Step S101: Obtain historical equipment failure records of transportation equipment used for cargo transportation in the port in the current period, and obtain historical equipment failure data from the historical equipment failure records, the historical equipment failure data including the total operation time of the equipment when the transportation equipment fails;

[0066] Step S102: Calculate the equipment failure frequency A=n / ∑ of the transportation equipment in the current cycle i=1 i=n T i,sum , where n represents the total number of historical equipment failure records of transportation equipment, T i,sum It is represented by the total equipment operation time of the transportation equipment when it fails in the i-th historical equipment failure record of the transportation equipment;

[0067] For example, the total number of historical equipment failure records of transportation equipment is n, which is 3. In the first historical equipment failure record of transportation equipment, the total equipment operation time of the transportation equipment during the failure is T 1,sum is 200h. In the second historical equipment failure record of the transport equipment, the total equipment operation time when the transport equipment fails is T 2,sum is 240h. In the third historical equipment failure record of the transport equipment, the total equipment operation time when the transport equipment fails is T 3,sum 220h;

[0068] Calculate the equipment failure frequency of the transportation equipment in the current cycle: A = 3 / (200+240+220)≈0.0045;

[0069] Step S103: The total repair time T for equipment failures of transportation equipment in the current cycle repair,sumObtain and calculate the average equipment repair time T of the transportation equipment MTTR =T repair,sum / n;

[0070] The total repair time T of equipment failures of transport equipment in the current cycle repair,sum is 10h, the total number of historical equipment failure records of transportation equipment n is 4, calculate the average equipment repair time T of transportation equipment MTTR =10 / 4=2.5;

[0071] Step S104: Obtain the transport load H of the transport equipment in the current cycle and obtain the reference transport load H of the transport equipment △ , calculate the equipment usage intensity W=H / H of the transportation equipment in the current cycle △ ;

[0072] For example, the transport load H of the transport equipment in the current cycle is 20, and the reference transport load H of the transport equipment is △ is 40, calculate the equipment usage intensity of the transportation equipment in the current cycle W=20 / 40=0.5;

[0073] Step S105: Calculate the equipment risk score of the transportation equipment in the current period z=ɑ1+ɑ2×A+ɑ3×T MTTR +ɑ4×W, where ɑ1, ɑ2, ɑ3 and ɑ4 represent the preset first equipment risk weight value, second equipment risk weight value, third risk weight value and fourth risk weight value respectively;

[0074] Step S106: Calculate the equipment failure risk value P of the transportation equipment in the current cycle = 1 / (1+e -z ), when the equipment failure risk value of the transport equipment in the current cycle is greater than the preset equipment failure risk threshold, it is determined that the transport equipment has an equipment failure risk in the current cycle, and the transport equipment is marked as a marked transport equipment;

[0075] Step S200: obtaining a reference transport route of the marked transport equipment of the port, obtaining equipment transport data of the transport equipment in the port, evaluating the degree of similarity between the transport equipment of the port and the cargo transport route of the marked transport equipment, and obtaining assisting transport equipment;

[0076] Wherein, step S200 includes:

[0077] Step S201: Acquire the reference transportation route of the marked transportation equipment of the port in the current period, set the unit length, cut the reference transportation route of the marked transportation equipment in the current period at intervals of the unit length, convert the marked transportation route into a series of coordinate points and collect them to obtain the reference transportation route coordinate point set γ of the marked transportation equipment in the current period;

[0078] Step S202: Obtain equipment transportation data of each transportation equipment in the port, obtain the cargo transportation route of each transportation equipment from the equipment transportation data, and obtain the transportation coordinate point set of each transportation equipment in the current cycle based on the cargo transportation route, wherein the transportation coordinate point set R of the Qth transportation equipment in the port in the current cycle is Q ={(x Q 1 ,y Q 1 ),(x Q 2 ,y Q 2 ),(x Q 3 ,y Q 3 ),...,(x Q n ,y Q n )},(x Q 1 ,y Q 1 ),(x Q 2 ,y Q 2 ),(x Q 3 ,y Q 3 ),...,(x Q n ,y Q n ) are respectively represented as the 1st, 2nd, 3rd, ..., nth coordinate points of the Qth transport equipment when transporting goods in the current cycle, and the cargo transportation coordinate point set R Q The distance between adjacent coordinate points is unit length;

[0079] Step S203: Establish an array dQ between the marked transport device and the Qth transport device, calculate the coordinate points in the reference transport route coordinate point set of the marked transport device and the coordinate point set R of the cargo transport of the Qth transport device. Q The characteristic coordinate distance value between them is the distance between the ath coordinate point in the reference transportation route coordinate point set γ of the marking transportation equipment and the cargo transportation coordinate point set R of the Qth transportation equipment. Q The characteristic coordinate distance value L between aQ :

[0080] ,

[0081] in, , They respectively represent the abscissa and ordinate of the ath coordinate point in the reference transport route coordinate point set γ of the marking transport equipment; , Respectively represent the transport coordinate point set R of the Qth transport equipment Q The horizontal and vertical coordinates of the i-th coordinate point in ;

[0082] Step S204: When the feature coordinate distance value L aQ When the coordinate distance is greater than a preset threshold, it is determined that there is a coordinate point in the Qth transport device that is close to the ath coordinate point of the marked transport device, and the ath coordinate point is recorded as the approximate coordinate point of the marked transport device relative to the Qth transport device, and the approximate coordinate points of the marked transport device relative to the Qth transport device are collected into the array dQ;

[0083] Step S205: Calculate the transport route approximation P=F between the marked transport equipment and the Qth transport equipment in the current cycle dQ / max(γ,R Q ), where F dQ Represents the total number of elements in the array dQ, max(γ,R Q ) represents the reference transportation route coordinate point set γ and the cargo transportation coordinate point set R Q The maximum total number of elements between;

[0084] Step S206: When the transport route approximation value between the marked transport device and the Qth transport device is greater than a preset transport route approximation threshold, it is determined that the Qth transport device has a transport assisting effect on the marked transport device in the current cycle, and the Qth transport device is recorded as an assisting transport device of the marked transport device;

[0085] Step S300: Acquire reference transportation data of the marked transportation equipment, and adjust the transportation status of the assisting transportation equipment in combination with the equipment transportation data of the assisting transportation equipment to obtain the transportation data of the target equipment;

[0086] Step S400: inspect and repair the marked transport equipment in the port in the current cycle, obtain the target equipment transportation data of the assisting transport equipment of the marked transport equipment, dispatch the assisting transport equipment to assist in the transportation of the goods transported by the marked transport equipment based on the target equipment transportation data, and perform intelligent management of the logistics in the port;

[0087] Wherein, step S300 includes:

[0088] Step S301: Acquire reference transportation data of the marked transportation equipment in the current cycle, the reference transportation data including the total amount of goods transported by the marked transportation equipment in the current cycle;

[0089] Step S302: Acquire the equipment transportation data of the assisting transportation equipment of the marked transportation equipment, acquire the cargo transportation load S of the assisting transportation equipment in the current cycle from the equipment transportation data, and acquire the reference cargo transportation load S of the assisting transportation equipment. sum , obtain the assisting cargo transportation volume S of the assisting transport equipment to the marked transport equipment △ =S sum -S;

[0090] Step S303: obtaining the transport coordinate point sets of each assisting transport device of the marked transport device, obtaining the reference transport route coordinate point set of the marked transport device, obtaining the intersection of the transport coordinate point sets of each assisting transport device and the reference transport route coordinate point set, and obtaining the coordinate points corresponding to the first element and the last element in the intersection of the transport coordinate point sets of each assisting transport device and the reference transport route coordinate point set, and recording the first element and the last element as the starting point coordinate point and the end point coordinate point of the assisting transport device, respectively;

[0091] Step S304: Calculate the characteristic transport distance after assistance of each assisting transport device, wherein the characteristic transport distance U after the βth assisting transport device among the assisting transport devices assists the marking transport device is β :

[0092] ,

[0093] in, , Respectively represent the horizontal and vertical coordinates of the starting point coordinate point of the β-th assisting transportation equipment; , Respectively represent the abscissa and ordinate of the terminal coordinate point of the β-th assisting transport equipment;

[0094] Step S305: Calculate the total amount of cargo assisted transportation S of the β-th assisted transportation equipment △,β sum :

[0095] ,

[0096] Among them, S △,β It is expressed as the assisted cargo transportation volume of the β-th assisted transportation equipment; T β,sum It is represented by the preset total assistance time of the β-th assisting transport equipment; v β It is expressed as the reference rate of the βth assisting transport equipment; T ▽,β It represents the preset time for cargo loading and unloading of the β-th assisting transport equipment;

[0097] Step S306: Obtain the total amount of cargo assisted transportation of the assisted transportation equipment in the current cycle and the coordinate points of the starting point and the end point, and collect them to obtain the target equipment transportation data of the assisted transportation equipment;

[0098] Wherein, step S400 includes:

[0099] Step S401: inspect and repair the marked transport equipment in the current cycle, and obtain the target equipment transportation data of each assisting transport equipment of the marked transport equipment, obtain the total amount of cargo assisted transportation of the assisting transport equipment from the target equipment transportation data and accumulate them to obtain the total amount of characteristic cargo of the marked transport equipment, and send the total amount of characteristic cargo to relevant staff to prompt the staff to adjust the cargo in the port;

[0100] Step S402: Based on the assisted cargo transportation volume of the assisted transportation equipment, placing cargo of the assisted cargo transportation volume on the assisted transportation equipment, dispatching the assisted transportation equipment, performing assisted cargo transportation from the starting coordinate point of the assisted transportation equipment to the end coordinate point, and performing intelligent management of the logistics within the port;

[0101] In order to better implement the above method, a logistics data management system based on data collaboration is also proposed. The system includes a marking transportation equipment module, an assisting transportation equipment module, a target equipment transportation data module, and a logistics intelligent management module;

[0102] The transport equipment marking module is used to obtain the historical equipment failure records of the transport equipment in the port, obtain the transport data of the transport equipment in the current cycle, conduct equipment risk assessment on the equipment status of the transport equipment in the current cycle, and obtain marked transport equipment;

[0103] The assisting transport equipment module is used to obtain the equipment transport data of the transport equipment in the port, evaluate the degree of similarity between the transport equipment in the port and the cargo transport route of the marked transport equipment, and obtain the assisting transport equipment;

[0104] The target equipment transportation data module is used to obtain the reference transportation data of the marked transportation equipment, and adjust the transportation status of the assisting transportation equipment in combination with the equipment transportation data of the assisting transportation equipment to obtain the target equipment transportation data;

[0105] The intelligent logistics management module is used to inspect and repair the marked transport equipment of the port in the current cycle, obtain the target equipment transportation data of the assisting transport equipment of the marked transport equipment, dispatch the assisting transport equipment to assist in the transportation of the goods transported by the marked transport equipment based on the target equipment transportation data, and intelligently manage the logistics in the port;

[0106] Among them, the marking transportation equipment module includes an equipment failure risk value unit and a marking transportation equipment unit;

[0107] The equipment failure risk value unit is used to calculate the equipment failure risk value of the transportation equipment in the port in the current period;

[0108] A marking transport equipment unit is used to determine the transport equipment of the port in the current period according to the equipment failure risk value of the transport equipment in the port in the current period, and obtain the marked transport equipment;

[0109] The assisting transport equipment module includes a transport route approximation unit and an assisting transport equipment unit;

[0110] A transport route approximation unit is used to calculate the transport route approximation of the marked transport equipment and each transport equipment in the current cycle;

[0111] The assisting transport equipment unit is used to determine the transport equipment in the current cycle according to the marked transport equipment in the current cycle and the transport route approximation of each transport equipment, and obtain the assisting transport equipment of the marked transport equipment in the current cycle;

[0112] The target equipment transportation data module includes a cargo assistance transportation total volume unit and a target equipment transportation data unit;

[0113] The cargo assisted transportation total volume unit is used to obtain the reference transportation data of the marked transportation equipment in the current cycle and calculate the cargo assisted transportation total volume of the assisted transportation equipment of the marked transportation equipment;

[0114] The target equipment transportation data unit is used to collect the total amount of cargo assisted transportation of the assisting transportation equipment and the starting point coordinate point and the end point coordinate point to obtain the target equipment transportation data of the assisting transportation equipment;

[0115] Among them, the logistics intelligent management module includes a logistics intelligent management unit;

[0116] The logistics intelligent management unit is used to inspect and repair the marked transport equipment in the current cycle, and to obtain the target equipment transportation data of each assisting transport equipment of the marked transport equipment, dispatch the assisting transport equipment to assist in the transportation of goods from the starting coordinate point of the assisting transport equipment to the end coordinate point, and to intelligently manage the logistics within the port.

[0117] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0118] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A logistics data management method based on data collaboration, characterized in that: The method comprises: Step S100: acquiring historical equipment failure records of the transport equipment in the port, acquiring the transport data of the transport equipment in the current period, performing equipment risk assessment on the equipment status of the transport equipment in the current period, and obtaining marked transport equipment; Step S200: obtaining a reference transport route of a marked transport equipment of a port, obtaining equipment transport data of the transport equipment in the port, evaluating the degree of similarity between the transport equipment of the port and the cargo transport route of the marked transport equipment, and obtaining assisting transport equipment; Step S300: Acquire reference transportation data of the marked transportation equipment, and adjust the transportation status of the assisting transportation equipment in combination with the equipment transportation data of the assisting transportation equipment to obtain target equipment transportation data; The step S300 includes: Step S301: Acquire reference transportation data of the marked transportation equipment in the current cycle, wherein the reference transportation data includes the total amount of goods transported by the marked transportation equipment in the current cycle; Step S302: Acquire the equipment transportation data of the assisting transportation equipment of the marked transportation equipment, acquire the cargo transportation load S of the assisting transportation equipment in the current cycle from the equipment transportation data, and acquire the reference cargo transportation load S of the assisting transportation equipment. sum , obtain the assisted cargo transportation volume S of the assisting transportation equipment to the marking transportation equipment △ =S sum -S; Step S303: obtaining the transport coordinate point sets of each assisting transport device of the marked transport device, obtaining the reference transport route coordinate point set of the marked transport device, obtaining the intersection of the transport coordinate point sets of each assisting transport device and the reference transport route coordinate point set, and obtaining the coordinate points corresponding to the first element and the last element in the intersection of the transport coordinate point sets of each assisting transport device and the reference transport route coordinate point set, and recording the first element and the last element as the starting point coordinate point and the ending point coordinate point of the assisting transport device, respectively; Step S304: Calculate the characteristic transport distance after assistance from each assisting transport device, wherein the characteristic transport distance U after the βth assisting transport device among the assisting transport devices assists the marking transport device is β : , in, , The horizontal coordinate and the vertical coordinate respectively represent the starting point coordinate point of the β-th assisting transportation equipment; , Respectively represent the abscissa and ordinate of the end point coordinate point of the β-th assisting transportation device; Step S305: Calculate the total amount of cargo assisted transportation S of the β-th assisted transportation equipment △,β sum : , Among them, S △,β It is represented by the assisted cargo transportation volume of the β-th assisted transportation equipment; T β,sum v represents the preset total assistance time of the β-th assisting transport equipment; β It is represented as the equipment reference rate of the β-th assisting transportation equipment; T ▽,β represents the preset time for cargo loading and unloading of the β-th assisting transport equipment; Step S306: Obtain the total amount of cargo assisted transportation of the assisted transportation equipment in the current cycle and the starting point coordinate point and the end point coordinate point and collect them to obtain the target equipment transportation data of the assisted transportation equipment; Step S400: Inspect the marked transport equipment of the port in the current cycle, obtain the target equipment transportation data of the assisting transport equipment of the marked transport equipment, dispatch the assisting transport equipment to assist in the transportation of the goods transported by the marked transport equipment based on the target equipment transportation data, and intelligently manage the logistics within the port.

2. A logistics data management method based on data collaboration according to claim 1, characterized in that: The step S100 includes: Step S101: obtaining historical equipment failure records of transport equipment used for cargo transport in the port in the current period, and obtaining historical equipment failure data from the historical equipment failure records, wherein the historical equipment failure data includes the total operation time of the equipment when the transport equipment fails; Step S102: Calculate the equipment failure frequency A of the transportation equipment in the current cycle: , Where n represents the total number of historical equipment failure records of the transportation equipment, T i,sum It is represented by the total equipment operation time of the transportation equipment when it fails in the i-th historical equipment failure record of the transportation equipment; Step S103: The total repair time T of the equipment failure of the transportation equipment in the current cycle repair,sum Obtain and calculate the average equipment repair time T of the transportation equipment MTTR =T repair,sum / n; Step S104: Obtain the transport load H of the transport equipment in the current cycle and obtain the reference transport load H of the transport equipment △ , calculate the equipment usage intensity W=H / H of the transportation equipment in the current cycle △ ; Step S105: Calculate the equipment risk score of the transport equipment in the current period z=ɑ1+ɑ2×A+ɑ3×T MTTR +ɑ4×W, where ɑ1, ɑ2, ɑ3 and ɑ4 represent the preset first equipment risk weight value, second equipment risk weight value, third risk weight value and fourth risk weight value respectively; Step S106: Calculate the equipment failure risk value P of the transportation equipment in the current cycle = 1 / (1+e -z ), when the equipment failure risk value of the transportation equipment in the current cycle is greater than a preset equipment failure risk threshold, it is determined that the transportation equipment has an equipment failure risk in the current cycle, and the transportation equipment is marked as a marked transportation equipment.

3. A logistics data management method based on data collaboration according to claim 2, characterized in that: The step S200 includes: Step S201: Acquire the reference transportation route of the marked transportation equipment of the port in the current period, set a unit length, cut the reference transportation route of the marked transportation equipment in the current period at intervals of the unit length, convert the marked transportation route into a series of coordinate points and collect them to obtain a reference transportation route coordinate point set γ of the marked transportation equipment in the current period; Step S202: Acquire the equipment transportation data of each transportation equipment in the port, acquire the cargo transportation route of each transportation equipment from the equipment transportation data, and acquire the transportation coordinate point set of each transportation equipment in the current cycle based on the cargo transportation route, wherein the transportation coordinate point set R of the Qth transportation equipment of the port in the current cycle is Q ={(x Q 1,y Q 1),(x Q 2,y Q 2),(x Q 3,y Q 3),...,(x Q n ,y Q n )},(x Q 1,y Q 1),(x Q 2,y Q 2),(x Q 3,y Q 3),...,(x Q n ,y Q n ) are respectively represented as the 1st, 2nd, 3rd, ..., nth coordinate points of the Qth transport equipment when transporting goods in the current cycle, and the transport coordinate point set R Q The distance between adjacent coordinate points is unit length; Step S203: Establish an array dQ between the marked transport device and the Qth transport device, calculate each coordinate point in the reference transport route coordinate point set of the marked transport device and the transport coordinate point set R of the Qth transport device Q The characteristic coordinate distance value between the ath coordinate point in the reference transport route coordinate point set γ of the marked transport equipment and the transport coordinate point set R of the Qth transport equipment Q The characteristic coordinate distance value L between aQ : , in, , Respectively represent the abscissa and ordinate of the ath coordinate point in the reference transport route coordinate point set γ of the marked transport device; , Respectively represent the transport coordinate point set R of the Qth transport equipment Q The horizontal and vertical coordinates of the i-th coordinate point in ; Step S204: When the characteristic coordinate distance value L aQ When the coordinate distance is greater than a preset threshold value, it is determined that there is a coordinate point in the Q-th transport device that is close to the a-th coordinate point of the marked transport device, and the a-th coordinate point is recorded as the approximate coordinate point of the marked transport device relative to the Q-th transport device, and the approximate coordinate point of the marked transport device relative to the Q-th transport device is collected into the array dQ; Step S205: Calculate the transport route approximation P=F between the marked transport device and the Qth transport device in the current cycle dQ / max(γ,R Q ), where F dQ represents the total number of elements in the array dQ, max(γ,R Q ) represents the reference transportation route coordinate point set γ and the transportation coordinate point set R Q The maximum total number of elements between; Step S206: When the transport route approximation value between the marked transport equipment and the Qth transport equipment is greater than a preset transport route approximation threshold, it is determined that the Qth transport equipment has a transport assisting effect on the marked transport equipment in the current cycle, and the Qth transport equipment is recorded as an assisting transport equipment of the marked transport equipment.

4. A logistics data management method based on data collaboration according to claim 3, characterized in that: The step S400 includes: Step S401: inspect and repair the marked transport equipment in the current cycle, and obtain the target equipment transportation data of each assisting transport equipment of the marked transport equipment, obtain the total amount of cargo assisted transportation of the assisting transport equipment from the target equipment transportation data and accumulate them to obtain the total amount of characteristic cargo of the marked transport equipment, and send the total amount of characteristic cargo to relevant staff to prompt the staff to adjust the cargo in the port; Step S402: Based on the assisted cargo transportation volume of the assisting transportation equipment, place the cargo of the assisted cargo transportation volume on the assisting transportation equipment, dispatch the assisting transportation equipment to perform assisted cargo transportation from the starting coordinate point of the assisting transportation equipment to the end coordinate point, and intelligently manage the logistics within the port.

5. A logistics data management system based on data collaboration, used to execute a logistics data management method based on data collaboration as described in any one of claims 1 to 4, characterized in that: The system includes a marking transport equipment module, an assisting transport equipment module, a target equipment transport data module, and a logistics intelligent management module; The transport equipment marking module is used to obtain historical equipment failure records of transport equipment in the port, obtain transport data of the transport equipment in the current cycle, perform equipment risk assessment on the equipment status of the transport equipment in the current cycle, and obtain marked transport equipment; The assisting transport equipment module is used to obtain equipment transport data of the transport equipment in the port, evaluate the degree of similarity between the transport equipment in the port and the cargo transport route of the marked transport equipment, and obtain assisting transport equipment; The target equipment transportation data module is used to obtain the reference transportation data of the marked transportation equipment, and adjust the transportation status of the assisting transportation equipment in combination with the equipment transportation data of the assisting transportation equipment to obtain the target equipment transportation data; The logistics intelligent management module is used to inspect and repair the marked transport equipment of the port in the current cycle, obtain the target equipment transportation data of the assisting transport equipment of the marked transport equipment, dispatch the assisting transport equipment to assist in the transportation of the goods transported by the marked transport equipment based on the target equipment transportation data, and perform intelligent management of the logistics within the port.

6. A logistics data management system based on data collaboration according to claim 5, characterized in that: The marking transport equipment module includes an equipment failure risk value unit and a marking transport equipment unit; The equipment failure risk value unit is used to calculate the equipment failure risk value of the transportation equipment in the port in the current period; The marking transport equipment unit is used to determine the transport equipment in the port within the current period according to the equipment failure risk value of the transport equipment in the port within the current period, and obtain the marked transport equipment.

7. A logistics data management system based on data collaboration according to claim 5, characterized in that: The transport assistance equipment module includes a transport route approximation unit and a transport assistance equipment unit; The transport route approximation unit is used to calculate the transport route approximation of the marked transport equipment and each transport equipment in the current cycle; The assisting transport equipment unit is used to determine the transport equipment in the current cycle according to the marked transport equipment in the current cycle and the approximate value of the transport routes of each transport equipment, and obtain the assisting transport equipment of the marked transport equipment in the current cycle.

8. A logistics data management system based on data collaboration according to claim 5, characterized in that: The target equipment transportation data module includes a cargo assistance transportation total volume unit and a target equipment transportation data unit; The cargo assisted transportation total volume unit is used to obtain reference transportation data of the marked transportation equipment in the current cycle and calculate the cargo assisted transportation total volume of the assisted transportation equipment of the marked transportation equipment; The target equipment transportation data unit is used to collect the total amount of cargo assisted transportation of the assisting transportation equipment and the starting point coordinate point and the end point coordinate point to obtain the target equipment transportation data of the assisting transportation equipment.

9. A logistics data management system based on data collaboration according to claim 5, characterized in that: The logistics intelligent management module includes a logistics intelligent management unit; The logistics intelligent management unit is used to inspect and repair the marked transportation equipment in the current cycle, and to obtain the target equipment transportation data of each assisting transportation equipment of the marked transportation equipment, to dispatch the assisting transportation equipment to assist in the transportation of goods from the starting coordinate point of the assisting transportation equipment to the end coordinate point, and to intelligently manage the logistics within the port.

Citation Information

Patent Citations

  • Logistics transportation management method and system

    CN118365122A