An end-to-end visualized logistics control system and method
Through the end-to-end visualization of logistics control system, the transportation routes and real-time monitoring of vehicle locations are solved, and the problems of inefficient transportation and information asymmetry in the logistics industry are achieved, and efficient logistics transportation management and control are achieved.
Patent Information
- Application Number
- CN202410513679.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-04-26
- Publication Date
- 2025-02-07
- Estimated Expiration
- 2044-04-26
AI Technical Summary
The unscientific transportation route planning in the existing logistics industry leads to inefficient transportation, serious problems of information asymmetry and data lag, especially when drivers use navigation software for transportation independently.
Adopt end-to-end visual logistics control system, by obtaining transportation order information, determining transportation site information, using transportation planning models to optimize transportation routes, combining GPS positioning technology to monitor vehicle location in real time, generate delay warning and warning information, and adjust the planned arrival time. Realize logistics transportation management and control.
It improves the control capability of logistics transportation, optimizes transportation paths, reduces the risk of transportation delays, realizes information symmetry and data synchronization during logistics transportation, and improves accurate tracking of transportation progress.
Smart Images

Figure CN118278846B_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of logistics management, and in particular relates to an end-to-end visualized logistics control system and method. Background Art
[0002] With the rapid development of information technology, new generation information technologies such as the Internet of Things, big data, and cloud computing have been widely used in the field of logistics. Against the backdrop of globalization and booming e-commerce, the demand for logistics and transportation continues to grow, placing higher demands on the efficiency and quality of logistics services. Customers need to know the transportation status, location information, and estimated arrival time of goods in real time in order to make timely decisions. At present, the following problems exist in the logistics industry: there is no scientific planning of transportation routes. Most of the existing logistics route planning jumps to general navigation software by setting a button to transport goods, so that drivers can use navigation software to transport goods independently. However, this method requires drivers to input destinations independently, resulting in low efficiency of logistics and transportation. In addition, since this navigation method cannot meet the customized navigation needs of logistics companies, when drivers who are not familiar with business processes are responsible for transportation, it may cause delays in transportation progress and difficulty in tracking vehicles on the way. After the vehicle departs, when problems arise and need to be communicated, drivers and staff can only use telephones to communicate, and the dispatch center cannot obtain the exact location of the vehicle. When problems arise, it cannot be adjusted in time to enable drivers to use navigation software to transport and distribute goods independently, resulting in information asymmetry and data lag in the logistics and transportation process. Summary of the invention
[0003] In order to solve the above problems existing in the prior art, the present invention provides an end-to-end visualized logistics control system and method, which obtains transportation order information, determines transportation site information according to the transportation origin and transportation destination, obtains the optimal transportation site through the transportation planning model according to the transportation site information, obtains the planned total transportation time and the planned arrival time at the transportation site according to the optimal transportation site, obtains the planned arrival time and the planned arrival time at the site according to the transportation start time combined with the planned total transportation time and the planned arrival time at the transportation site, obtains delay warning information according to real-time location information, obtains the time difference according to the actual arrival time at the site, uploads delay warning information according to the time difference, obtains the estimated arrival time according to the delay warning information and the delay warning information and uploads it to the administrator for review, uploads external event information to the administrator for review, updates the estimated arrival time and the estimated arrival time at the site according to the adjustment plan in the estimated arrival time according to the administrator's review result, and uploads it to the display terminal, thereby realizing logistics in-transit transportation management, improving logistics transportation control, and facilitating early intervention in delay risks.
[0004] The purpose of the present invention can be achieved by the following technical solutions:
[0005] An end-to-end visualized logistics control method specifically comprises the following steps:
[0006] S1: Acquire transport order information, wherein the transport order information includes transport category, external event information, transport origin and transport destination, and the transport category includes domestic transport and international transport;
[0007] S2: When the transport category is domestic transport, the transport station information is determined according to the transport origin and the transport destination, the optimal transport station is obtained through a transport planning model according to the transport station information, the transport route information is obtained according to the optimal transport station, the planned total transport time and the planned arrival time at the transport station are obtained according to the transport route information and the transport station information, the transport station information includes the transport station location information and the transport station number, and the transport route information includes the arrival sequence of the transport stations;
[0008] S3: When the logistics vehicle starts transportation, it uploads the transportation start time, and obtains the planned arrival time according to the transportation start time combined with the planned total transportation time and the planned arrival time at the transportation station. The planned arrival time includes the planned arrival time and the planned arrival time at the station.
[0009] S4: Monitor the real-time location information of the logistics vehicle through GPS positioning technology. The real-time location information carries time information. When the logistics vehicle arrives at the transportation station, upload the actual arrival time at the station. According to the planned arrival time combined with the real-time location information, obtain the delay warning information through verification. By comparing the actual arrival time at the station with the planned arrival time, obtain the time difference. According to the time difference, upload the delay warning information. According to the delay warning information and the delay warning information, adjust the planned arrival time to obtain the estimated arrival time. The estimated arrival time is uploaded to the administrator for review and uploaded to the display terminal.
[0010] S5: Upload the external event information to the administrator for review. When the review is passed, update the planned arrival time and the planned arrival time at the site according to the adjustment plan in the external event information, and upload the planned arrival time and the planned arrival time at the site to the display terminal.
[0011] Preferably, the step S2 specifically includes the following steps:
[0012] S201: calling a historical transportation database, the historical transportation database includes historical waybill information, historical transportation site information and transportation duration, using the historical waybill information, historical transportation site information and the transportation duration as a data set to obtain the transportation planning model through deep learning, analyzing the transportation site location information through GIS software to obtain the site spacing and the time consumption between sites, processing the transportation site information and the site spacing through the transportation planning model to obtain the optimal transportation site, and obtaining the transportation route information based on the optimal transportation site;
[0013] S202: Obtain the total distance of the transport route by summing up the optimal transport site in combination with the site spacing, determine the optimal transport site spacing in combination with the optimal transport site spacing, obtain the planned time consumption for arriving at the transport site in combination with the time consumption between sites, and obtain the planned total transport time in combination with the planned time consumption for arriving at the transport site.
[0014] Preferably, the step S202 specifically includes the following steps:
[0015] The transportation planning model includes constructing time constraints and cost constraints. The time constraint is obtained according to the transportation station number and the time consumption between the stations. The time constraint is expressed as: Where TimeLimit represents the time constraint, m and n represent the transport station numbers, T mn The inter-site time from site m to site n is represented. The required fuel cost and highway toll between sites are obtained according to the site distance and the location information of the transport site. The inter-site cost is obtained by summing the required fuel cost between sites and the highway toll. The cost constraint is obtained according to the transport site number and the inter-site cost. The cost constraint is expressed as: Among them, PriceLimit represents the cost constraint, P mn represents the inter-site cost from site m to site n;
[0016] The time constraint condition is calculated according to the time constraint by the formula Timecost=Timecost+(TimeLimit-max(TimeLimit))×α, and the cost constraint condition is calculated according to the cost constraint by the formula Pricecost=Pricecost+(PriceLimit-max(PriceLimit))×β, wherein Timecost represents the time constraint condition, TimeLimit represents the time constraint, Pricecost represents the cost constraint condition, PriceLimit represents the cost constraint, and α and β represent penalty factors;
[0017] The objective function is constructed according to the site spacing and constraint conditions, and the objective function is expressed as D(X)=min(d mn f mn )+min(Timecost+Pricecost), where D(X) represents the objective function, d mn represents the site distance from site m to site n, f mn Indicates the number of times the segment from site m to site n appears. Here, f mn Set to 1, Timecost represents the time constraint, Pricecost represents the cost constraint, and the optimal transportation station and the order of arriving at the transportation station are obtained according to the objective function.
[0018] Preferably, the step S4 specifically includes presetting a verification time according to the planned arrival time, and when the system time coincides with the verification time, obtaining the site location information that needs to be reached at the current time according to the real-time location information of the logistics vehicle and the planned arrival time in combination with the transportation route information, obtaining a distance threshold, generating the delay warning information when the distance difference between the real-time location information of the logistics vehicle and the site location information is greater than or equal to the distance threshold, and uploading the delay warning information to the display terminal, and generating no abnormality information when the distance difference between the real-time location information of the logistics vehicle and the site location information is less than the distance threshold;
[0019] Obtaining a time-consuming error range, uploading normal information when the time-consuming difference does not exceed the error range, and triggering an early warning and uploading the delay warning information when the time-consuming difference exceeds the time-consuming error range;
[0020] The estimated arrival time is obtained according to the delay warning information, and the estimated arrival time is uploaded to the administrator side for review. When the review is passed, the estimated arrival time is uploaded to the display terminal. When the review is not passed, the estimated arrival time is updated according to the planned arrival time and uploaded to the display terminal.
[0021] Preferably, the international transportation includes a pickup section, an air and sea transportation section, a customs clearance section and a distribution section. The section from the overseas departure port to the domestic destination port includes the pickup section and the air and sea transportation section. The customs clearance section is from the domestic destination port to domestic customs clearance, and the section from the domestic customs clearance to the domestic destination belongs to the distribution section. The logistics monitoring of the distribution section uses the logistics monitoring method of the domestic transportation. The logistics transportation information provided by the freight forwarding company from the overseas departure port to the domestic destination port is uploaded to the system and the logistics node time is updated. When the logistics transportation information is a delayed arrival, an early warning is triggered and the planned arrival time is updated. The actual arrival time at the domestic destination port is obtained through GPS positioning technology, and the estimated customs clearance completion time is obtained according to the actual arrival time. The estimated customs clearance completion time is compared with the actual customs clearance completion time to obtain the error duration, and an early warning message is generated when the error duration is greater than a preset threshold.
[0022] Preferably, the adjustment plan in step S5 includes event severity, event description, BCP emergency plan and expected event termination date, and the planned arrival time is updated according to the expected event termination date.
[0023] An end-to-end visual logistics control system, including:
[0024] A data acquisition module, used to acquire transport order information, wherein the transport order information includes transport category, external event information, transport origin and transport destination, and the transport category includes domestic transport and international transport;
[0025] A route time planning module, for determining, when the transport category is the domestic transport, transport station information according to the transport origin and the transport destination, obtaining an optimal transport station through a transport planning model according to the transport station information, obtaining transport route information according to the optimal transport station, obtaining a planned total transport time and a planned arrival time at the transport station according to the transport route information and the transport station information, wherein the transport station information includes transport station location information and transport station numbers, and the transport route information includes an arrival sequence at the transport stations;
[0026] The transportation monitoring module uploads the transportation start time when the logistics vehicle starts transportation, and obtains the planned arrival time according to the transportation start time combined with the planned total transportation time and the planned arrival time at the transportation station. The planned arrival time includes the planned arrival time and the planned arrival time at the station. The real-time location information of the logistics vehicle is monitored by GPS positioning technology. The real-time location information carries time information. When the logistics vehicle arrives at the transportation station, the actual arrival time at the station is uploaded, and the time difference is obtained by comparing the actual arrival time at the station with the planned arrival time.
[0027] An early warning adjustment module is used to obtain delay early warning information by verifying the planned arrival time in combination with the real-time location information, upload delay warning information according to the time-consuming difference, adjust the planned arrival time according to the delay early warning information and the delay warning information to obtain an estimated arrival time, upload the estimated arrival time to the administrator side for review, and upload it to the display terminal, upload the external event information to the administrator side for review, and when the review is passed, update the planned arrival time and the planned arrival site time according to the adjustment plan in the external event information, and upload the planned arrival time and the planned arrival site time to the display terminal.
[0028] The beneficial effects of the present invention are:
[0029] 1. By setting transport stations in the transport route, determining the transport station information according to the transport origin and the transport destination, obtaining the optimal transport station through the transport planning model according to the transport station information, obtaining the transport route information according to the optimal transport station, and obtaining the planned total transport time and the planned arrival time at the transport station according to the transport route information and the transport station information, the selection of the optimal transport station and the time planning before logistics transportation are realized, and the logistics transportation path is optimized;
[0030] 2. The planned arrival time and the planned arrival time are obtained according to the transportation start time combined with the planned total transportation time and the planned arrival time at the transportation station. The real-time location information of the logistics vehicle is monitored by GPS positioning technology. The real-time location information carries time information. When the logistics vehicle arrives at the transportation station, the actual arrival time at the station is uploaded. The time difference is obtained by comparing the actual arrival time at the station and the planned arrival time. The delay warning information is obtained by verification according to the planned arrival time combined with the real-time location information. The delay warning information is uploaded according to the time difference, realizing the in-transit transportation monitoring of logistics. The delay warning information is obtained by judging the real-time location information of the logistics vehicle at the verification time. The monitoring of the real-time location information of the logistics vehicle avoids the problem of inaccurate return of the arrival time at the station due to the failure of actual time collection caused by weak GPS signal, and is conducive to early intervention of delay risks, so that the information of the logistics transportation process is symmetrical. For the delay warning information generated according to the time difference, the decision-making ability of logistics transportation monitoring is improved.
[0031] 3. Obtain delay warning information through verification based on the planned arrival time in combination with the real-time location information, upload delay warning information based on the time difference, adjust the planned arrival time based on the delay warning information and the delay warning information to obtain the estimated arrival time, upload the estimated arrival time to the administrator for review, and upload it to the display terminal, upload the external event information to the administrator for review, and when the review is passed, update the estimated arrival time and the estimated arrival time at the site according to the adjustment plan in the external event information, and upload the estimated arrival time and the estimated arrival time at the site to the display terminal, thereby realizing data synchronization in the logistics transportation process, realizing early intervention in the risk of logistics delays, and improving the accurate tracking of transportation progress. BRIEF DESCRIPTION OF THE DRAWINGS
[0032] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.
[0033] Figure 1 It is a schematic diagram of the flow of the end-to-end visualized logistics control method of the present invention. DETAILED DESCRIPTION
[0034] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.
[0035] See also Figure 1 , an end-to-end visualized logistics control method, specifically comprising the following steps:
[0036] S1: Acquire transport order information, wherein the transport order information includes transport category, external event information, transport origin and transport destination, and the transport category includes domestic transport and international transport;
[0037] S2: When the transport category is domestic transport, the transport station information is determined according to the transport origin and the transport destination, the optimal transport station is obtained through a transport planning model according to the transport station information, the transport route information is obtained according to the optimal transport station, the planned total transport time and the planned arrival time at the transport station are obtained according to the transport route information and the transport station information, the transport station information includes the transport station location information and the transport station number, and the transport route information includes the arrival sequence of the transport stations;
[0038] S3: When the logistics vehicle starts transportation, it uploads the transportation start time, and obtains the planned arrival time according to the transportation start time combined with the planned total transportation time and the planned arrival time at the transportation station. The planned arrival time includes the planned arrival time and the planned arrival time at the station.
[0039] S4: Monitor the real-time location information of the logistics vehicle through GPS positioning technology. The real-time location information carries time information. When the logistics vehicle arrives at the transportation station, upload the actual arrival time at the station. According to the planned arrival time combined with the real-time location information, obtain the delay warning information through verification. By comparing the actual arrival time at the station with the planned arrival time, obtain the time difference. According to the time difference, upload the delay warning information. According to the delay warning information and the delay warning information, adjust the planned arrival time to obtain the estimated arrival time. The estimated arrival time is uploaded to the administrator for review and uploaded to the display terminal.
[0040] S5: Upload the external event information to the administrator for review. When the review is passed, update the planned arrival time and the planned arrival time at the site according to the adjustment plan in the external event information, and upload the planned arrival time and the planned arrival time at the site to the display terminal.
[0041] It should be noted that external events are manually filled in and uploaded to the review end. External events include planned events and unplanned events. Planned events include the impact of holidays, and unplanned events include the impact of extreme weather and traffic control. External event information is filled in manually. External event information includes event severity, event type and name, event-affected areas and sections, event description and BCP emergency plan. In addition, transportation order information also includes order attributes, which are divided into ordinary orders and VIP orders. The logistics monitoring method for VIP orders is the same as that for ordinary orders. The difference is that the status tracking frequency of VIP orders is increased, and the logistics monitoring tasks are fixed to the task panel, which is convenient for business personnel to track in real time and give priority to VIP orders.
[0042] Specifically, the step S2 comprises the following steps:
[0043] S201: calling a historical transportation database, the historical transportation database includes historical waybill information, historical transportation site information and transportation duration, using the historical waybill information, historical transportation site information and the transportation duration as a data set to obtain the transportation planning model through deep learning, analyzing the transportation site location information through GIS software to obtain the site spacing and the time consumption between sites, processing the transportation site information and the site spacing through the transportation planning model to obtain the optimal transportation site, and obtaining the transportation route information based on the optimal transportation site;
[0044] S202: Obtain the total distance of the transport route by summing up the optimal transport site in combination with the site spacing, determine the optimal transport site spacing based on the optimal transport site, obtain the planned time consumption to arrive at the transport site in combination with the optimal site spacing and the time consumption between sites, and obtain the planned total transport time in combination with the planned time consumption to arrive at the transport site.
[0045] The transportation site information is determined according to the transportation origin and the transportation destination, the optimal transportation site is obtained through the transportation planning model according to the transportation site information, the transportation route information is obtained according to the optimal transportation site, and the planned total transportation time and the planned arrival time at the transportation site are obtained according to the transportation route information and the transportation site information, thereby realizing the selection of the optimal transportation site and the time planning before logistics transportation, and optimizing the logistics transportation path.
[0046] Specifically, the step S202 includes the following steps:
[0047] The transportation planning model includes constructing time constraints and cost constraints. The time constraint is obtained according to the transportation station number and the time consumption between the stations. The time constraint is expressed as: Where TimeLimit represents the time constraint, m and n represent the transport station numbers, T mn The inter-site time from site m to site n is represented. The required fuel cost and highway toll between sites are obtained according to the site distance and the location information of the transport site. The inter-site cost is obtained by summing the required fuel cost between sites and the highway toll. The cost constraint is obtained according to the transport site number and the inter-site cost. The cost constraint is expressed as: Among them, PriceLimit represents the cost constraint, P mn represents the inter-site cost from site m to site n;
[0048] The time constraint condition is calculated according to the time constraint by the formula Timecost=Timecost+(TimeLimit-max(TimeLimit))×α, and the cost constraint condition is calculated according to the cost constraint by the formula Pricecost=Pricecost+(PriceLimit-max(PriceLimit))×β, wherein Timecost represents the time constraint condition, PriceLimit represents the time constraint, Pricecost represents the cost constraint condition, PriceLimit represents the cost constraint, and α and β represent penalty factors;
[0049] The objective function is constructed according to the site spacing and constraint conditions, and the objective function is expressed as D(X)=min(dmn f mn )+min(Timecost+Pricecost), where D(X) represents the objective function, d mn represents the site distance from site m to site n, f mn Indicates the number of times the segment from site m to site n appears. Here, f mn Set to 1, Timecost represents the time constraint, Pricecost represents the cost constraint, and the optimal transportation station and the order of arriving at the transportation station are obtained according to the objective function.
[0050] Specifically, the step S4 specifically includes presetting a verification time according to the planned arrival time, and when the system time coincides with the verification time, obtaining the site location information that needs to be reached at the current time according to the real-time location information of the logistics vehicle and the planned arrival time combined with the transportation route information, obtaining a distance threshold, and generating the delay warning information when the distance difference between the real-time location information of the logistics vehicle and the site location information is greater than or equal to the distance threshold, and uploading the delay warning information to the display terminal, and generating no abnormality information when the distance difference between the real-time location information of the logistics vehicle and the site location information is less than the distance threshold;
[0051] Obtaining a time-consuming error range, uploading normal information when the time-consuming difference does not exceed the error range, and triggering an early warning and uploading the delay warning information when the time-consuming difference exceeds the time-consuming error range;
[0052] The estimated arrival time is obtained according to the delay warning information, and the estimated arrival time is uploaded to the administrator side for review. When the review is passed, the estimated arrival time is uploaded to the display terminal. When the review is not passed, the estimated arrival time is updated according to the planned arrival time and uploaded to the display terminal.
[0053] The real-time location information of the logistics vehicle is monitored by GPS positioning technology. The real-time location information carries time information. When the logistics vehicle arrives at the transportation site, the actual arrival time at the site is uploaded. By comparing the actual arrival time at the site with the planned arrival time, the time difference is obtained. Delay warning information is obtained by verification based on the planned arrival time combined with the real-time location information. The delay warning information is uploaded based on the time difference, thereby realizing logistics in-transit transportation monitoring. The real-time location information of the logistics vehicle is monitored to avoid the problem of inaccurate return of the arrival time at the site due to the failure of actual time collection caused by weak GPS signals. The delay warning information obtained by judging the real-time location information of the logistics vehicle at the verification time is conducive to early intervention in the risk of delay, making the information of the logistics transportation process symmetrical, and improving the decision-making ability of logistics transportation monitoring for the delay warning information generated based on the time difference.
[0054] It should be noted that when the administrator receives delay warning information and delay alert information, it is necessary to contact the driver of the logistics vehicle to confirm the cause of the delay to ensure the safety of personnel during the logistics transportation process. When the administrator receives a review of the estimated arrival time, it is necessary to contact the customer or check the transportation agreement to confirm whether the transportation order accepts the adjustment time. If it is acceptable, it will pass the review. If it is not acceptable, the transportation plan will be adjusted offline to deliver the goods to the customer according to the original planned arrival time.
[0055] Specifically, the international transportation includes a pickup section, an air and sea transportation section, a customs clearance section and a distribution section. The section from the overseas departure port to the domestic destination port includes the pickup section and the air and sea transportation section. The customs clearance section is from the domestic destination port to domestic customs clearance, and the section from the domestic customs clearance to the domestic destination belongs to the distribution section. The logistics monitoring of the distribution section uses the logistics monitoring method of the domestic transportation. The logistics transportation information provided by the freight forwarding company from the overseas departure port to the domestic destination port is uploaded to the system and the logistics node time is updated. When the logistics transportation information is a delayed arrival, an early warning is triggered and the planned arrival time is updated. The actual arrival time at the domestic destination port is obtained through GPS positioning technology, and the estimated customs clearance completion time is obtained based on the actual arrival time. The estimated customs clearance completion time is compared with the actual customs clearance completion time to obtain the error duration. When the error duration is greater than a preset threshold, an early warning message is generated.
[0056] It should be noted that the logistics control method of domestic transportation is used in the distribution section of international transportation. What needs to be further explained is that the estimated arrival time is updated according to the time difference and external event information, so as to achieve data synchronization in the logistics transportation process, implement early intervention in logistics delay risks, and improve the accurate tracking of transportation progress.
[0057] Specifically, the adjustment plan in step S5 includes the severity of the event, the event description, the BCP emergency plan and the expected event end date, and the planned arrival time is updated according to the expected event end date.
[0058] Furthermore, the present invention also provides an end-to-end visualized logistics control system, comprising:
[0059] A data acquisition module, used to acquire transport order information, wherein the transport order information includes transport category, external event information, transport origin and transport destination, and the transport category includes domestic transport and international transport;
[0060] A route time planning module, for determining, when the transport category is the domestic transport, transport station information according to the transport origin and the transport destination, obtaining an optimal transport station through a transport planning model according to the transport station information, obtaining transport route information according to the optimal transport station, obtaining a planned total transport time and a planned arrival time at the transport station according to the transport route information and the transport station information, wherein the transport station information includes transport station location information and transport station numbers, and the transport route information includes an arrival sequence at the transport stations;
[0061] The transportation monitoring module uploads the transportation start time when the logistics vehicle starts transportation, and obtains the planned arrival time according to the transportation start time combined with the planned total transportation time and the planned arrival time at the transportation station. The planned arrival time includes the planned arrival time and the planned arrival time at the station. The real-time location information of the logistics vehicle is monitored by GPS positioning technology. The real-time location information carries time information. When the logistics vehicle arrives at the transportation station, the actual arrival time at the station is uploaded, and the time difference is obtained by comparing the actual arrival time at the station with the planned arrival time.
[0062] An early warning adjustment module is used to obtain delay early warning information by verifying the planned arrival time in combination with the real-time location information, upload delay warning information according to the time-consuming difference, adjust the planned arrival time according to the delay early warning information and the delay warning information to obtain an estimated arrival time, upload the estimated arrival time to the administrator side for review, and upload it to the display terminal, upload the external event information to the administrator side for review, and when the review is passed, update the planned arrival time and the planned arrival site time according to the adjustment plan in the external event information, and upload the planned arrival time and the planned arrival site time to the display terminal.
[0063] The working principle and use process of the present invention:
[0064] Acquire transport order information through the data acquisition module, determine transport site information based on the transport origin and transport destination, obtain the optimal transport site through the transport planning model based on the transport site information, obtain the planned total transport time and the planned time to arrive at the transport site based on the optimal transport site, obtain the planned arrival time and the planned arrival time at the site based on the transport start time combined with the planned total transport time and the planned time to arrive at the transport site, obtain delay warning information based on real-time location information, obtain the time difference based on the actual arrival time at the site, upload delay warning information based on the time difference, obtain the estimated arrival time based on the delay warning information and the delay warning information and upload it to the administrator for review, upload the external event information to the administrator for review, update the estimated arrival time and the estimated arrival time at the site based on the adjustment plan in the estimated arrival time and upload it to the display terminal.
[0065] The program code included in the method in the embodiment of the present invention can be transmitted with any appropriate medium, including but not limited to wireless, electric wire, optical cable, etc., or any suitable combination mentioned above. The computer program code for performing the operation of the present invention can be written with one or more programming languages or their combination, and the programming language includes object-oriented programming languages--such as Java, Smalltalk, C++, and also includes conventional procedural programming languages--such as "C" language or similar programming languages. The program code can be executed completely on the user's computer, partially on the user's computer, executed as an independent software package, partially on the user's computer and partially on the remote computer, or executed completely on the remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).
[0066] The above is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any brief modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.
Claims
1. An end-to-end visualized logistics control method, characterized in that: The specific steps include: S1: Acquire transport order information, wherein the transport order information includes transport category, external event information, transport origin and transport destination, and the transport category includes domestic transport and international transport; S2: When the transport category is domestic transport, the transport station information is determined according to the transport origin and the transport destination, the optimal transport station is obtained through a transport planning model according to the transport station information, the transport route information is obtained according to the optimal transport station, the planned total transport time and the planned arrival time at the transport station are obtained according to the transport route information and the transport station information, the transport station information includes the transport station location information and the transport station number, and the transport route information includes the arrival sequence of the transport stations; The transportation planning model includes constructing time constraints and cost constraints. The time constraint is obtained according to the transportation station number and the time consumption between the stations. The time constraint is expressed as: Where TimeLimit represents the time constraint, m and n represent the transport station numbers, T mn The inter-site time from site m to site n is represented. The required fuel cost and highway toll between sites are obtained according to the site distance and the location information of the transport site. The inter-site cost is obtained by summing the required fuel cost between sites and the highway toll. The cost constraint is obtained according to the transport site number and the inter-site cost. The cost constraint is expressed as: Among them, PriceLimit represents the cost constraint, P mn represents the inter-site cost from site m to site n; The time constraint condition is calculated according to the time constraint by the formula Timecost=Timecost+(TimeLimit-max(TimeLimit))×α, and the cost constraint condition is calculated according to the cost constraint by the formula Pricecost=Pricecost+(PriceLimit-max(PriceLimit))×β, wherein Timecost represents the time constraint condition, TimeLimit represents the time constraint, Pricecost represents the cost constraint condition, PriceLimit represents the cost constraint, and α and β represent penalty factors; The objective function is constructed according to the site spacing and constraint conditions, and the objective function is expressed as D(X)=min(d mn f mn )+min(Timecost+Pricecost), where D(X) represents the objective function, d mn represents the site distance from site m to site n, f mn Indicates the number of times the segment from site m to site n appears. Here, f mn Set to 1, Timecost represents the time constraint, Pricecost represents the cost constraint, and the optimal transportation station and the order of arrival at the transportation station are obtained according to the objective function; S3: When the logistics vehicle starts transportation, it uploads the transportation start time, and obtains the planned arrival time according to the transportation start time combined with the planned total transportation time and the planned arrival time at the transportation station. The planned arrival time includes the planned arrival time and the planned arrival time at the station. S4: Monitor the real-time location information of the logistics vehicle through GPS positioning technology. The real-time location information carries time information. When the logistics vehicle arrives at the transportation station, upload the actual arrival time at the station. According to the planned arrival time combined with the real-time location information, obtain the delay warning information through verification. By comparing the actual arrival time at the station with the planned arrival time, obtain the time difference. According to the time difference, upload the delay warning information. According to the delay warning information and the delay warning information, adjust the planned arrival time to obtain the estimated arrival time. The estimated arrival time is uploaded to the administrator for review and uploaded to the display terminal. S5: Upload the external event information to the administrator for review. When the review is passed, update the planned arrival time and the planned arrival time at the site according to the adjustment plan in the external event information, and upload the planned arrival time and the planned arrival time at the site to the display terminal.
2. The end-to-end visualized logistics control method according to claim 1 is characterized in that: The step S2 specifically includes the following steps: S201: calling a historical transportation database, the historical transportation database includes historical waybill information, historical transportation site information and transportation duration, using the historical waybill information, historical transportation site information and the transportation duration as a data set to obtain the transportation planning model through deep learning, analyzing the transportation site location information through GIS software to obtain the site spacing and the time consumption between sites, processing the transportation site information and the site spacing through the transportation planning model to obtain the optimal transportation site, and obtaining the transportation route information based on the optimal transportation site; S202: Obtain the total distance of the transport route by summing up the optimal transport site in combination with the site spacing, determine the optimal transport site spacing in combination with the optimal transport site spacing, obtain the planned time consumption for arriving at the transport site in combination with the time consumption between sites, and obtain the planned total transport time in combination with the planned time consumption for arriving at the transport site.
3. The end-to-end visualized logistics control method according to claim 1 is characterized in that: The step S4 specifically includes presetting a verification time according to the planned arrival time, and when the system time coincides with the verification time, obtaining the site location information that needs to be reached at the current time according to the real-time location information of the logistics vehicle and the planned arrival time combined with the transportation route information, obtaining a distance threshold, generating the delay warning information when the distance difference between the real-time location information of the logistics vehicle and the site location information is greater than or equal to the distance threshold, and uploading the delay warning information to the display terminal, and generating no abnormality information when the distance difference between the real-time location information of the logistics vehicle and the site location information is less than the distance threshold; Obtaining a time-consuming error range, uploading normal information when the time-consuming difference does not exceed the error range, and triggering an early warning and uploading the delay warning information when the time-consuming difference exceeds the time-consuming error range; The estimated arrival time is obtained according to the delay warning information, and the estimated arrival time is uploaded to the administrator side for review. When the review is passed, the estimated arrival time is uploaded to the display terminal. When the review is not passed, the estimated arrival time is updated according to the planned arrival time and uploaded to the display terminal.
4. The end-to-end visualized logistics control method according to claim 1 is characterized in that: The international transportation includes a pickup section, an air and sea transportation section, a customs clearance section and a distribution section. The section from the overseas departure port to the domestic destination port includes the pickup section and the air and sea transportation section. The customs clearance section is from the domestic destination port to domestic customs clearance, and the section from the domestic customs clearance to the domestic destination belongs to the distribution section. The logistics monitoring of the distribution section uses the logistics monitoring method of the domestic transportation. The logistics transportation information provided by the freight forwarding company from the overseas departure port to the domestic destination port is uploaded to the system and the logistics node time is updated. When the logistics transportation information is a delayed arrival, an early warning is triggered and the planned arrival time is updated. The actual arrival time at the domestic destination port is obtained through GPS positioning technology, and the estimated customs clearance completion time is obtained according to the actual arrival time. The estimated customs clearance completion time is compared with the actual customs clearance completion time to obtain the error duration. When the error duration is greater than a preset threshold, an early warning message is generated.
5. The end-to-end visualized logistics control method according to claim 1 is characterized in that: The adjustment plan in step S5 includes the severity of the event, the event description, the BCP emergency plan and the expected event end date, and the planned arrival time is updated according to the expected event end date.
6. An end-to-end visualized logistics control system, the end-to-end visualized logistics control system adopts the end-to-end visualized logistics control method according to claim 1, characterized in that: include: A data acquisition module, used to acquire transport order information, wherein the transport order information includes transport category, external event information, transport origin and transport destination, and the transport category includes domestic transport and international transport; A route time planning module, for determining, when the transport category is the domestic transport, transport station information according to the transport origin and the transport destination, obtaining an optimal transport station through a transport planning model according to the transport station information, obtaining transport route information according to the optimal transport station, obtaining a planned total transport time and a planned arrival time at the transport station according to the transport route information and the transport station information, wherein the transport station information includes transport station location information and transport station numbers, and the transport route information includes an arrival sequence at the transport stations; The transportation monitoring module uploads the transportation start time when the logistics vehicle starts transportation, and obtains the planned arrival time according to the transportation start time combined with the planned total transportation time and the planned arrival time at the transportation station. The planned arrival time includes the planned arrival time and the planned arrival time at the station. The real-time location information of the logistics vehicle is monitored by GPS positioning technology. The real-time location information carries time information. When the logistics vehicle arrives at the transportation station, the actual arrival time at the station is uploaded, and the time difference is obtained by comparing the actual arrival time at the station with the planned arrival time. An early warning adjustment module is used to obtain delay early warning information by verifying the planned arrival time in combination with the real-time location information, upload delay warning information according to the time-consuming difference, adjust the planned arrival time according to the delay early warning information and the delay warning information to obtain an estimated arrival time, upload the estimated arrival time to the administrator side for review, and upload it to the display terminal, upload the external event information to the administrator side for review, and when the review is passed, update the planned arrival time and the planned arrival site time according to the adjustment plan in the external event information, and upload the planned arrival time and the planned arrival site time to the display terminal.
Citation Information
Patent Citations
Monitoring method, monitoring device and monitoring system for transportation task
CN107944797A
Intelligent logistics transportation management system based on artificial intelligence
CN117273589A
System and method for linehaul optimization
US20200327497A1