Line scheduling method, device and equipment for conveying product oil and medium

By analyzing the traffic flow and congestion signals of refined oil transportation lines, dividing stable and non-stable lines, prioritizing and finally determining transportation lines, the problem of insufficient line congestion judgment in the existing technology is solved, and transportation efficiency and safety are improved.

CN119168324AInactive Publication Date: 2024-12-20SHENZHEN JOINT TECH CO LTD

Patent Information

Application Number
CN202411622594.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-14
Publication Date
2024-12-20
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The lack of judgment on line congestion in the existing refined oil conveying technology has led to low transportation efficiency and the inability to effectively make the optimal transportation route.

Method used

By comparing and analyzing the traffic flow of each refined oil transportation line, a congestion signal is generated, and the congestion performance value is calculated based on the duration and occurrence of the congestion signal, the congestion stable and non-stable lines are divided, and the congestion interval value and stable value are combined to prioritize the order. , determine the final transportation route.

Benefits of technology

Effectively avoid choosing transportation routes with severe congestion, reduce the driving time of transportation vehicles in congested environments, reduce the risk of traffic congestion, and improve transportation efficiency.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention relates to the technical field of product oil transportation, and particularly discloses a line scheduling method, device, equipment and medium for product oil transportation, comprising the following steps: comparing and analyzing the traffic flow of each product oil transportation line, and if the traffic flow is greater than a flow threshold, generating a congestion signal; based on the congestion signals, processing and analyzing the duration time and the occurrence frequency of the congestion signals to obtain a first transportation line table, processing and analyzing the interval time and the duration time of the congestion signals, and performing type division on product oil transportation lines, the divided types including congestion stable lines and congestion unstable lines; based on the type of the product oil transportation line, the congestion time interval of the product oil transportation line is determined, and by avoiding selection of a transportation line with serious congestion, the driving time of the transportation vehicle in a congestion environment can be shortened, so that the traffic congestion risk in the transportation process is reduced, and the transportation efficiency is improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of refined oil transportation, and in particular to a line dispatching method, device, equipment and medium for refined oil transportation. Background Art

[0002] With the continuous economic growth and the acceleration of industrialization, the demand for refined oil products is increasing. In order to meet market demand, the production, storage and transportation of refined oil products need to be more efficient and safe. This puts higher demands on the route scheduling method of refined oil transportation to ensure that the oil products can be delivered to various demand points in a timely manner.

[0003] The Chinese invention patent with publication number CN117436592A discloses an intelligent dispatching system and method for refined oil, including obtaining oil depot information, gas station information, vehicle information, travel information, and constraint information, then obtaining sales forecast information of each oil product at the gas station, then obtaining optimization indicators and parameter settings, and finally, according to the oil depot information, the gas station information, the vehicle information, the travel information, the constraint information, the sales forecast information of each oil product at the gas station, the optimization indicators and the parameter settings, using an iterative greedy algorithm to solve the active distribution scheduling optimization model to obtain the optimal distribution plan. In this way, it can help avoid oversupply or undersupply and improve distribution efficiency and customer satisfaction.

[0004] However, the above-mentioned prior art lacks the judgment of the congestion situation of the refined oil transportation route. By judging the congestion situation of the refined oil transportation route, it is helpful for decision makers to make a final determination on the transportation route, which can further improve the efficiency of refined oil transportation.

[0005] Based on this, the present invention proposes a line scheduling method, device, equipment and medium for refined oil transportation. Summary of the invention

[0006] The purpose of the present invention is to provide a line scheduling method, device, equipment and medium for refined oil transportation to solve the technical problems in the above background.

[0007] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a line scheduling method for refined oil transportation, comprising: Step 1: Compare and analyze the traffic volume of each refined oil transportation route. If the traffic volume is greater than the traffic threshold, a congestion signal is generated; Step 2: Based on the congestion signal, the duration and occurrence frequency of the congestion signal are processed and analyzed to obtain a congestion performance value DB, and each refined oil transportation route is sorted based on the congestion performance value DB to obtain a first transportation route table; Step 3: Process and analyze the interval time and duration of the congestion signal to obtain the congestion stability value YW, and classify the refined oil transportation routes according to the congestion stability value YW, including congestion stable routes and congestion unstable routes; Step 4: Based on the type of the refined oil transportation route, determine the congestion time interval of the refined oil transportation route, process and analyze the congestion time interval of the refined oil transportation route to obtain the congestion interval value, and calculate and process the priority ranking value YP in combination with the congestion stability value, and sort the refined oil transportation routes again based on the priority ranking value YP to obtain the second transportation route table; Step 5: Compare and analyze the first transportation route table with the second transportation route table to determine the final transportation route.

[0008] As a further solution of the present invention: the congestion performance value DB is obtained in the following manner: Obtain the duration and occurrence frequency of congestion signals, and analyze to obtain the congestion period ratio and congestion frequency ratio; The congestion period ratio and the congestion frequency ratio are summed to obtain the congestion performance value DB.

[0009] As a further solution of the present invention: the congestion period ratio and the congestion number ratio are obtained in the following manner: Based on any refined oil transportation route; In the historical monitoring cycle, the time period when the congestion signal is generated is marked as the congestion period, and the duration corresponding to the congestion period is compared with the duration corresponding to the historical monitoring cycle to obtain the congestion period ratio; During the historical monitoring period, the number of occurrences of congestion signals is counted and compared with the number threshold to obtain the congestion number ratio CSG.

[0010] As a further solution of the present invention: the congestion stability value YW is obtained in the following manner: Obtain the interval time and duration of the congestion signal, and analyze to obtain the interval stability value JG and the continuous stability value CX; The interval stability value JG, continuous stability value CX, and congestion frequency ratio CSG are processed by the formula: The congestion stability value YW is calculated, where a1, a2 and a3 are all preset proportional coefficients.

[0011] As a further solution of the present invention: the interval stability value JG and the continuous stability value CX are obtained as follows: Based on any refined oil transportation route; In the historical monitoring period, the interval time between adjacent congestion signals is obtained and integrated into an interval time group, and the variance value of the interval time group is calculated to obtain the interval stability value JG; Similarly, the duration of each congestion signal is obtained and integrated into a duration group, and the variance value of the duration group is calculated to obtain the continuous stability value CX.

[0012] As a further solution of the present invention: the second transport route table is obtained in the following manner: comparing the congestion stability value to a congestion stability threshold; If the congestion stability value is greater than the congestion stability threshold, it means that the type of the refined oil transportation route is a congestion stable route; If the congestion stability value is less than or equal to the congestion stability threshold, it means that the type of the refined oil transportation route is a congestion unstable route; If the type of the refined oil transportation route is a congestion-stable route, the interval time between all adjacent congestion signals is obtained and the sum is averaged to obtain the congestion time interval of the refined oil transportation route; If the type of the refined oil transportation route is a congested unstable route, the minimum interval time between adjacent congestion signals is obtained as the congestion time interval of the refined oil transportation route; The congestion interval value of the refined oil transportation line is obtained by comparing the congestion interval with the historical monitoring cycle. The congestion interval value and the congestion stability value are summed to obtain the priority ranking value; The refined oil transportation routes are sorted from large to small according to the priority sorting values ​​to obtain a second transportation route table.

[0013] As a further solution of the present invention: the first transport route table is compared and analyzed with the second transport route table, and the specific process is as follows: Respectively obtain the top-ranked refined oil transportation route in the first transportation route table and the second transportation route table. If the top-ranked refined oil transportation route in the first transportation route table and the second transportation route table is the same refined oil transportation route, use the corresponding refined oil transportation route as the final transportation route; If the refined oil transportation route ranked first in the first transportation route table and the second transportation route table is not the same refined oil transportation route, the priority ranking value YP and the congestion performance value DB are obtained, and data processing is performed, through the formula: The final ranking value Zz is obtained, where s1 and s2 are both preset proportional coefficients; The refined oil transportation routes are finally sorted from large to small according to the final sorting values, and the refined oil transportation route ranked first is selected as the final transportation route.

[0014] A line dispatching device for refined oil transportation, the device is used to execute any of the above methods, the device comprising: Congestion signal generation module: obtain historical flow data of each refined oil transportation route, where the historical flow data includes vehicle flow, compare and analyze the historical route data, and generate a congestion signal if the vehicle flow is greater than the flow threshold; The first transportation route table acquisition module: based on the congestion signal, the duration and the number of occurrences of the congestion signal are processed and analyzed to obtain the congestion performance value DB, and the refined oil transportation routes are sorted based on the congestion performance value DB to obtain the first transportation route table; Second transport route table acquisition module: process and analyze the interval time and duration of congestion signals to obtain a congestion stability value, classify the refined oil transport routes according to the congestion stability value, and the classification types include congestion stable routes and congestion unstable routes. Based on the types of refined oil transport routes, determine the congestion time interval of the refined oil transport routes, process and analyze the congestion time interval of the refined oil transport routes to obtain a congestion interval value, and calculate and process the congestion stability value to obtain a priority ranking value YP, and re-rank the refined oil transport routes based on the priority ranking value YP to obtain a second transport route table; Route determination module: compares and analyzes the first transport route table with the second transport route table to determine the final transport route.

[0015] An electronic device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; Memory, used to store computer programs; The processor is used to execute the program stored in the memory.

[0016] A computer-readable storage medium stores a computer program.

[0017] Beneficial effects of the present invention: (1) The present invention compares and analyzes historical route data. If the vehicle flow rate is greater than the flow rate threshold, a congestion signal is generated. Based on the congestion signal, the duration and the number of occurrences of the congestion signal are processed and analyzed to obtain a congestion performance value. Based on the congestion performance value, each refined oil transportation route is sorted to obtain a first transportation route table. The present invention can reduce the time that transportation vehicles travel in a congested environment by avoiding the selection of transportation routes with severe congestion, thereby helping to reduce the risk of traffic congestion during transportation and improve transportation efficiency. (2) The present invention processes and analyzes the interval time and duration of the congestion signal to obtain a congestion stability value, and classifies the refined oil transportation routes according to the congestion stability value, the classification types including congestion stable routes and congestion unstable routes, and determines the congestion time interval of the refined oil transportation routes based on the types of the refined oil transportation routes, processes and analyzes the congestion time interval of the refined oil transportation routes to obtain a congestion interval value, and calculates and processes the congestion stability value to obtain a priority ranking value, and re-ranks the refined oil transportation routes based on the priority ranking value to obtain a second transportation route table, and compares and analyzes the first transportation route table with the second transportation route table to determine the final transportation route. The present invention reflects the frequency of congestion according to the congestion interval value and the congestion stability value, which is conducive to determining the final transportation route. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The present invention will be further described below in conjunction with the accompanying drawings.

[0019] Figure 1 is a flow chart of a line scheduling method for refined oil transportation provided by an embodiment of the present invention; Figure 2 It is a flowchart of a line dispatching device for refined oil transportation provided by an embodiment of the present invention; Figure 3 It is a structural schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0020] 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.

[0021] Example 1 See also Figure 1 As shown, the line scheduling method for refined oil transportation according to the embodiment of the present invention includes the following steps: Step 1: Obtain historical flow data of each refined oil transportation route, wherein the historical flow data includes vehicle flow, and compare and analyze the historical route data. If the vehicle flow is greater than the flow threshold, a congestion signal is generated; Based on any refined oil transportation route; During the historical monitoring period, the traffic volume of the refined oil transportation route is obtained and compared with the traffic threshold; If the traffic volume is greater than or equal to the traffic volume threshold, it means that there is a high possibility of traffic congestion on the route, and a congestion signal is generated; If the traffic volume is less than the traffic volume threshold, it means that the possibility of traffic congestion on this route is small, and a non-congestion signal is generated; It should be noted that the historical monitoring period includes but is not limited to one month, two months and three months; Step 2: Based on the congestion signal, the duration and occurrence frequency of the congestion signal are processed and analyzed to obtain a congestion performance value DB, and each refined oil transportation route is sorted based on the congestion performance value DB to obtain a first transportation route table; Based on any refined oil transportation route; In the historical monitoring cycle, the time period when the congestion signal is generated is marked as the congestion period, and the duration corresponding to the congestion period is compared with the duration corresponding to the historical monitoring cycle to obtain the congestion period ratio; In the historical monitoring period, the number of occurrences of congestion signals is counted and compared with the number threshold to obtain the congestion number ratio CSG; The congestion period ratio and the congestion number ratio are summed to obtain the congestion performance value DB; Sort the refined oil transportation routes from small to large according to the congestion performance value DB to obtain a first transportation route table; The technical solution of the embodiment of the present invention is: obtaining historical flow data of each refined oil transportation route, wherein the historical flow data includes vehicle flow, performing comparative analysis on the historical route data, and if the vehicle flow is greater than the flow threshold, generating a congestion signal, based on the congestion signal, processing and analyzing the duration and the number of occurrences of the congestion signal to obtain a congestion performance value DB, and sorting each refined oil transportation route based on the congestion performance value DB to obtain a first transportation route table. The present invention can reduce the driving time of transportation vehicles in a congested environment by avoiding the selection of severely congested transportation routes, thereby helping to reduce the risk of traffic congestion during transportation and improve transportation efficiency.

[0022] Example 2 Based on Example 1, the line scheduling method for refined oil transportation described in the embodiment of the present invention includes the following steps: Step 3: Process and analyze the interval time and duration of congestion signals to obtain the congestion stability value, and classify the refined oil transportation routes according to the congestion stability value, including congestion stable routes and congestion unstable routes; Based on any refined oil transportation route; In the historical monitoring period, the intervals between adjacent congestion signals are obtained and integrated into an interval time group, and the variance value of the interval time group is calculated to obtain the interval stability value JG; Similarly, the duration of each congestion signal is obtained and integrated into a duration group. The variance value of the duration group is calculated to obtain the continuous stability value CX. By formula: The congestion stability value YW is calculated, where a1, a2 and a3 are all preset proportional coefficients; comparing the congestion stability value to a congestion stability threshold; If the congestion stability value is greater than the congestion stability threshold, it means that the type of the refined oil transportation route is a congestion stable route; If the congestion stability value is less than or equal to the congestion stability threshold, it means that the type of the refined oil transportation route is a congestion unstable route; Step 4: Based on the type of the refined oil transportation route, determine the congestion time interval of the refined oil transportation route, process and analyze the congestion time interval of the refined oil transportation route to obtain the congestion interval value, and calculate and process the priority ranking value YP in combination with the congestion stability value, and sort the refined oil transportation routes again based on the priority ranking value YP to obtain the second transportation route table; Specifically, if the type of the refined oil transportation route is a congestion-stable route, the interval time between all adjacent congestion signals is obtained and the sum is averaged to obtain the congestion time interval of the refined oil transportation route; If the type of the refined oil transportation route is a congested unstable route, the minimum interval time between adjacent congestion signals is obtained as the congestion time interval of the refined oil transportation route; The congestion interval value of the refined oil transportation line is obtained by comparing the congestion interval with the historical monitoring cycle. The congestion interval value and the congestion stability value are summed to obtain the priority ranking value; Sort the refined oil transportation routes according to the priority sorting values ​​from large to small to obtain a second transportation route table; Step 5: Compare and analyze the first transportation route table with the second transportation route table to determine the final transportation route; Specifically, the first-ranked refined oil transportation route in the first transportation route table and the second transportation route table are obtained respectively. If the first-ranked refined oil transportation route in the first transportation route table and the second transportation route table is the same refined oil transportation route, the corresponding refined oil transportation route is used as the final transportation route; If the refined oil transportation route ranked first in the first transportation route table and the second transportation route table is not the same refined oil transportation route, the priority ranking value YP and the congestion performance value DB are obtained, and data processing is performed, through the formula: The final ranking value Zz is obtained, where s1 and s2 are both preset proportional coefficients; The refined oil transportation routes are finally sorted from largest to smallest according to the final sorting values, and the refined oil transportation route ranked first is selected as the final transportation route; The technical solution of the embodiment of the present invention is as follows: the interval time and duration of the congestion signal are processed and analyzed to obtain a congestion stability value, the refined oil transportation route is classified into types according to the congestion stability value, and the types of classification include congestion stable routes and congestion unstable routes, based on the type of the refined oil transportation route, the congestion time interval of the refined oil transportation route is determined, the congestion time interval of the refined oil transportation route is processed and analyzed to obtain a congestion interval value, and combined with the congestion stability value, a priority ranking value is calculated and processed, and the refined oil transportation route is sorted again based on the priority ranking value to obtain a second transportation route table, and the first transportation route table is compared and analyzed with the second transportation route table to determine the final transportation route. The present invention reflects the frequency of congestion according to the congestion interval value and the congestion stability value, which is conducive to determining the final transportation route.

[0023] Example 3 like Figure 2 As shown, a multi-channel charger detection system according to an embodiment of the present invention includes: Congestion signal generation module: obtain historical flow data of each refined oil transportation route, where the historical flow data includes vehicle flow, compare and analyze the historical route data, and generate a congestion signal if the vehicle flow is greater than the flow threshold; The first transportation route table acquisition module: based on the congestion signal, the duration and the number of occurrences of the congestion signal are processed and analyzed to obtain the congestion performance value DB, and the refined oil transportation routes are sorted based on the congestion performance value DB to obtain the first transportation route table; Second transportation route table acquisition module: processing and analyzing the interval time and duration of congestion signals to obtain a congestion stability value, classifying the refined oil transportation routes according to the congestion stability value, the classification types including congestion stable routes and congestion unstable routes, determining the congestion time interval of the refined oil transportation routes based on the types of the refined oil transportation routes, processing and analyzing the congestion time interval of the refined oil transportation routes to obtain a congestion interval value, and calculating and processing the congestion stability value to obtain a priority ranking value, and re-ranking the refined oil transportation routes based on the priority ranking value to obtain a second transportation route table; Route determination module: compares and analyzes the first transport route table with the second transport route table to determine the final transport route.

[0024] Example 4 See also Figure 3As shown, the present invention is an electronic device, including a processor 301, a communication interface 302, a memory 303 and a communication bus 304, wherein the processor 301, the communication interface 302, and the memory 303 communicate with each other through the communication bus 304; Memory 303, used for storing computer programs; The processor 301 is used to execute the program stored in the memory 303 to implement the following steps: Step 1: Obtain historical flow data of each refined oil transportation route, wherein the historical flow data includes vehicle flow, and compare and analyze the historical route data. If the vehicle flow is greater than the flow threshold, a congestion signal is generated; Step 2: Based on the congestion signal, the duration and occurrence frequency of the congestion signal are processed and analyzed to obtain a congestion performance value DB, and each refined oil transportation route is sorted based on the congestion performance value DB to obtain a first transportation route table; Step 3: Process and analyze the interval time and duration of congestion signals to obtain the congestion stability value, and classify the refined oil transportation routes according to the congestion stability value, including congestion stable routes and congestion unstable routes; Step 4: Based on the type of the refined oil transportation route, determine the congestion time interval of the refined oil transportation route, process and analyze the congestion time interval of the refined oil transportation route to obtain the congestion interval value, and calculate and process the priority ranking value YP in combination with the congestion stability value, and sort the refined oil transportation routes again based on the priority ranking value YP to obtain the second transportation route table; Step 5: Compare and analyze the first transportation route table with the second transportation route table to determine the final transportation route.

[0025] The communication bus mentioned in the above electronic device can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0026] The communication interface is used for communication between the above electronic device and other devices.

[0027] The memory may include a random access memory (RAM) or a non-volatile memory (NVM), such as at least one disk memory. Optionally, the memory may also be at least one storage device located away from the aforementioned processor.

[0028] The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0029] In another embodiment provided by the present invention, a computer-readable storage medium is also provided, in which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned line scheduling method for refined oil transportation are implemented.

[0030] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. Line scheduling method for refined oil transportation, It is characterized in that include: Step 1: Compare and analyze the traffic volume of each refined oil transportation route. If the traffic volume is greater than the traffic threshold, a congestion signal is generated; Step 2: Based on the congestion signal, the duration and occurrence frequency of the congestion signal are processed and analyzed to obtain a congestion performance value DB, and each refined oil transportation route is sorted based on the congestion performance value DB to obtain a first transportation route table; Step 3: Process and analyze the interval time and duration of the congestion signal to obtain the congestion stability value YW, and classify the refined oil transportation routes according to the congestion stability value YW, including congestion stable routes and congestion unstable routes; Step 4: Based on the type of the refined oil transportation route, determine the congestion time interval of the refined oil transportation route, process and analyze the congestion time interval of the refined oil transportation route to obtain the congestion interval value, and calculate and process the priority ranking value YP in combination with the congestion stability value, and sort the refined oil transportation routes again based on the priority ranking value YP to obtain the second transportation route table; Step 5: Compare and analyze the first transportation route table with the second transportation route table to determine the final transportation route.

2. The line scheduling method for refined oil transportation according to claim 1, It is characterized in that The congestion performance value DB is obtained in the following manner: Obtain the duration and occurrence frequency of congestion signals, and analyze to obtain the congestion period ratio and congestion frequency ratio; The congestion period ratio and the congestion frequency ratio are summed to obtain the congestion performance value DB.

3. The line scheduling method for refined oil transportation according to claim 2, It is characterized in that The congestion period ratio and congestion number ratio are obtained as follows: Based on any refined oil transportation route; In the historical monitoring cycle, the time period when the congestion signal is generated is marked as the congestion period, and the duration corresponding to the congestion period is compared with the duration corresponding to the historical monitoring cycle to obtain the congestion period ratio; During the historical monitoring period, the number of occurrences of congestion signals is counted and compared with the number threshold to obtain the congestion number ratio CSG.

4. The line scheduling method for refined oil transportation according to claim 1, It is characterized in that The congestion stability value YW is obtained as follows: Obtain the interval time and duration of the congestion signal, and analyze to obtain the interval stability value JG and the continuous stability value CX; The interval stability value JG, continuous stability value CX, and congestion frequency ratio CSG are processed by the formula: The congestion stability value YW is calculated, where a1, a2 and a3 are all preset proportional coefficients.

5. The line scheduling method for refined oil transportation according to claim 4, It is characterized in that The interval stability value JG and the continuous stability value CX are obtained as follows: Based on any refined oil transportation route; In the historical monitoring period, the interval time between adjacent congestion signals is obtained and integrated into an interval time group, and the variance value of the interval time group is calculated to obtain the interval stability value JG; Similarly, the duration of each congestion signal is obtained and integrated into a duration group, and the variance value of the duration group is calculated to obtain the continuous stability value CX.

6. The line scheduling method for refined oil transportation according to claim 4, It is characterized in that The second transport route table is obtained in the following manner: comparing the congestion stability value to a congestion stability threshold; If the congestion stability value is greater than the congestion stability threshold, it means that the type of the refined oil transportation route is a congestion stable route; If the congestion stability value is less than or equal to the congestion stability threshold, it means that the type of the refined oil transportation route is a congestion unstable route; If the type of the refined oil transportation route is a congestion-stable route, the interval time between all adjacent congestion signals is obtained and the sum is averaged to obtain the congestion time interval of the refined oil transportation route; If the type of the refined oil transportation route is a congested unstable route, the minimum interval time between adjacent congestion signals is obtained as the congestion time interval of the refined oil transportation route; The congestion interval value of the refined oil transportation line is obtained by comparing the congestion interval with the historical monitoring cycle. The congestion interval value and the congestion stability value are summed to obtain the priority ranking value; The refined oil transportation routes are sorted from large to small according to the priority sorting values ​​to obtain a second transportation route table.

7. The line scheduling method for refined oil transportation according to claim 1, It is characterized in that The first transport route table is compared and analyzed with the second transport route table. The specific process is as follows: Respectively obtain the top-ranked refined oil transportation route in the first transportation route table and the second transportation route table. If the top-ranked refined oil transportation route in the first transportation route table and the second transportation route table is the same refined oil transportation route, use the corresponding refined oil transportation route as the final transportation route; If the refined oil transportation route ranked first in the first transportation route table and the second transportation route table is not the same refined oil transportation route, the priority ranking value YP and the congestion performance value DB are obtained, and data processing is performed, through the formula: The final ranking value Zz is obtained, where s1 and s2 are both preset proportional coefficients; The refined oil transportation routes are finally sorted from large to small according to the final sorting values, and the refined oil transportation route ranked first is selected as the final transportation route.

8. Line dispatching device for refined oil transportation, It is characterized in that The device is used to execute the method described in any one of claims 1 to 7, and comprises: Congestion signal generation module: obtain historical flow data of each refined oil transportation route, where the historical flow data includes vehicle flow, compare and analyze the historical route data, and generate a congestion signal if the vehicle flow is greater than the flow threshold; The first transportation route table acquisition module: based on the congestion signal, the duration and occurrence frequency of the congestion signal are processed and analyzed to obtain the congestion performance value DB, and the refined oil transportation routes are sorted based on the congestion performance value DB to obtain the first transportation route table; Second transport route table acquisition module: process and analyze the interval time and duration of congestion signals to obtain a congestion stability value, classify the refined oil transport routes according to the congestion stability value, and the classification types include congestion stable routes and congestion unstable routes. Based on the types of refined oil transport routes, determine the congestion time interval of the refined oil transport routes, process and analyze the congestion time interval of the refined oil transport routes to obtain a congestion interval value, and calculate and process the congestion stability value to obtain a priority ranking value YP, and re-rank the refined oil transport routes based on the priority ranking value YP to obtain a second transport route table; Route determination module: compares and analyzes the first transport route table with the second transport route table to determine the final transport route.

9. An electronic device, It is characterized in that It includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus; Memory, used to store computer programs; A processor, for implementing the method steps described in any one of claims 1 to 7 when executing a program stored in a memory.

10. A computer-readable storage medium, It is characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method steps described in any one of claims 1 to 7 are implemented.

Citation Information

Patent Citations

  • Traffic jam treatment method and device

    CN111028505A

  • Congestion identification method and device

    CN114863676A

  • Order data regulation and control system for intelligent logistics transportation

    CN118261317A

  • Road congestion detection method and device, and electronic device

    US20220215747A1

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