Platformization diesel oil distribution method for oil tank truck

Abstract

The invention provides a platform diesel oil distribution method for an oil tank truck, and relates to the technical field of electric digital data processing, and the method comprises the steps: generating a distribution path stability index through the analysis of a road condition index and a traffic safety risk index, and screening out a safer and more efficient sub-optimal distribution path; secondly, comprehensively evaluating the traffic jam, the vehicle trapping risk and the sight distance problem of the diesel oil filling area, generating a reliability index, providing an intelligent strategy for the type selection of the oil tank truck, optimizing the filling efficiency, and reducing the risks of vehicle trapping and the like; and finally, by introducing comprehensive analysis of a resident complaint rate and a sensitive factor, balance between path optimization and resident satisfaction is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of electrical digital data processing, and specifically to a method for platform-based diesel distribution by oil tank trucks. Background Art

[0002] Oil tank trucks are widely used for diesel distribution. Especially in diesel filling areas composed of rural farmland areas or construction sites where oil tank trucks are difficult to pass, their flexibility and efficiency have attracted the attention of all parties. However, traditional diesel distribution methods usually rely on manual scheduling or simple route planning, lacking the ability to accurately collect and analyze multi-dimensional parameters (such as road conditions, traffic safety, diesel filling area environment, and residents' needs) in complex distribution scenarios, resulting in the difficulty of effectively guaranteeing the actual distribution efficiency and safety. In the early stage of technological development, the selection of diesel distribution routes relied more on experience and did not fully utilize modern intelligent scheduling technologies and multi-source data analysis methods. Especially in complex distribution scenarios where diesel filling areas intersect with residential concentrated areas, how to achieve dynamic optimization of diesel distribution routes and efficient management of the diesel filling process has become the core problem that the industry urgently needs to solve.

[0003] In the prior art, the publication number is CN115965172B, and the name is a path optimization algorithm, system, and device for a refined oil secondary distribution vehicle. The path optimization algorithm includes the following steps: problem analysis, through the business scenario, clarify the composition of the refined oil distribution network, equivalently convert the refined oil transportation scheduling into the best path for refined oil transportation, and model the refined oil transportation path cost into an operations research optimization model; initial data processing, determine the planned distribution volume; generate an initial solution, under the randomly generated vehicle order, form a planned initial solution; evolutionary operation, perform selection, crossover, and mutation on the randomly generated vehicle order to determine the initial distribution path of the vehicle.

[0004] Although the prior art has initially introduced path planning systems, there are generally various deficiencies and limitations. First, most existing path planning solutions only focus on optimizing delivery time and distance, without comprehensively considering important factors such as road conditions and safety, such as the potential threats of roadside obstacles to oil tankers, the safety risks of non-motor vehicle interspersions, and the possible vehicle sinking situations in diesel filling areas. This one-dimensional consideration not only limits the practical feasibility of path planning but may even lead to safety hazards during the delivery process. Second, in the diesel filling management of diesel filling areas, the prior art lacks in-depth analysis of the dynamic complexity of the internal environment of diesel filling areas, such as the traffic congestion problems in diesel filling areas, the vehicle sinking risks, and the line-of-sight obstacles in the operating environment. These factors usually directly affect the delivery efficiency and the selection of oil tanker equipment, but are not fully considered by the prior art. In addition, when the oil tanker passes through areas with concentrated residents, the prior art has a weak ability to respond to residents' demands, lacks systematic evaluation of factors such as residents' complaints and the needs of sensitive groups, and cannot effectively balance the delivery efficiency and social acceptance;

[0005] The above information disclosed in the background art section above is only used to enhance the understanding of the background of the present disclosure. Therefore, it may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0006] The object of the present invention is to provide a method for platform-based diesel delivery by oil tankers to solve the problems raised in the above background art.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A method for platform-based diesel delivery by oil tankers, the specific steps including:

[0009] Step S1: Determine multiple initial delivery paths for diesel delivery orders, and collect road condition indicators and traffic safety risk indicators for each initial delivery path;

[0010] The road condition indicators include the potential infringement factor of roadside obstacles and the road fuel consumption factor;

[0011] The traffic safety risk indicators include, within the currently estimated passing time period, the accident rate per kilometer of each initial delivery path in the accident historical data, and the non-motor vehicle interspersion frequency;

[0012] Analyze and process the road condition indicators and traffic safety risk indicators of each initial delivery path to comprehensively generate a delivery path stability index, and the delivery path stability index is used to screen out three sub-optimal delivery paths from multiple initial delivery paths;

[0013] Step S2: Collect the traffic congestion index, vehicle bogging down index, and line of sight disturbance index of the diesel fuel filling areas corresponding to each sub-optimal delivery route, and conduct a comprehensive analysis of these indices to generate the reliability index of the diesel fuel filling areas. The reliability index is used to provide an optimal selection strategy for the tanker types of each sub-optimal delivery route;

[0014] Step S3: For the residential concentrated areas passed by each sub-optimal delivery route, collect the resident complaint rate and the sensitivity factors of children and the elderly when different types of tankers pass through the residential concentrated areas; through the analysis and processing of the resident complaint rate and the sensitivity factors of children and the elderly, comprehensively generate the sub-optimal selection index; the sub-optimal selection index is used to screen out the optimal delivery route from the three sub-optimal delivery routes.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: By analyzing the road condition index and the traffic safety risk index, a delivery route stability index is generated, thereby screening out safer and more efficient sub-optimal delivery routes; secondly, a comprehensive evaluation of the traffic congestion, vehicle bogging down risk, and line of sight problems in the diesel fuel filling areas is carried out to generate a reliability index, providing an intelligent strategy for the selection of tanker types, optimizing the filling efficiency and reducing risks such as vehicle bogging down; finally, by introducing the comprehensive analysis of the resident complaint rate and the sensitivity factors, the balance between route optimization and resident satisfaction is achieved; the overall solution is multi-dimensionally linked, not only solving the core problem of insufficient dynamic analysis of complex scenarios in the prior art, but also effectively improving the accuracy, environmental friendliness, and social benefits of the delivery, making it more practical and popularizable. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the overall method flow of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] In order to make the objectives, technical solutions, and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below in conjunction with specific embodiments.

[0018] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the present invention should have the ordinary meanings understood by those with ordinary skills in the field to which the present invention belongs. The "first", "second" and similar terms used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. The terms such as "including" or "comprising" mean that the elements or objects appearing before this term cover the elements or objects listed after this term and their equivalents, without excluding other elements or objects. The terms such as "connected" or "linked" are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The terms such as "upper", "lower", "left", "right", etc. are only used to represent relative positional relationships. When the absolute position of the object being described changes, the relative positional relationship may also change accordingly.

[0019] Embodiment 1:

[0020] Please refer to Figure 1 , the present invention provides a technical solution:

[0021] A method for platform-based distribution of diesel by an oil tanker, which is applicable to scenarios where the end point of the distribution path is difficult for an oil tanker to pass through. The specific steps include:

[0022] Step S1: Determine multiple initial distribution paths for diesel distribution orders, and collect the road condition indicators and traffic safety risk indicators of each initial distribution path;

[0023] The road condition indicators include the potential infringement factor of roadside obstacles and the road fuel consumption factor;

[0024] The potential infringement factor of roadside obstacles uses a vehicle-mounted high-precision lidar to scan the obstacle distribution and minimum safety distance on both sides of the path, as well as the obstacle density;

[0025] The road fuel consumption factor calculates the increased fuel consumption for going uphill on the slope of the initial distribution path;

[0026] The traffic safety risk indicators include the accident rate per kilometer of each initial distribution path in the accident historical data and the non-motor vehicle interspersed frequency during the current estimated passing time period;

[0027] Analyze and process the road condition indicators and traffic safety risk indicators of each initial distribution path to comprehensively generate a distribution path stability index, which is used to screen out three sub-optimal distribution paths from multiple initial distribution paths;

[0028] Further explanation: Define the calculation formula of the potential infringement factor of roadside obstacles as follows:

[0029]

[0030] in, is the potential damage factor of roadside obstacles on the i-th initial delivery path, The larger the value, the worse the road condition of the i-th initial delivery path; i represents the index mark of the initial delivery path;

[0031] is the total length of the i-th initial delivery path;

[0032] is the total number of obstacles on the i-th initial delivery path;

[0033] is the shortest distance between the jth obstacle and the centerline of the lane on the i-th initial delivery path; Acquired through LiDAR scanning;

[0034] is the weighted coefficient of the jth obstacle on the i-th initial delivery path; it is used to measure the relative threat level of the obstacle to the driving of the tanker truck;

[0035] Obstacles include but are not limited to trees, height-limiting piers and width-limiting piers;

[0036] when hour, ;

[0037] And set When , the obstacle layout in the i-th initial delivery path will affect the driving safety of the tanker truck; is the warning threshold of the potential infringement factor of roadside obstacles on the i-th initial delivery path;

[0038] The calculation formula for defining the road fuel consumption factor is as follows:

[0039]

[0040] in, is the road fuel consumption factor of the i-th initial delivery route, The larger the value, the greater the fuel consumption of the i-th initial delivery route;

[0041] is the total number of uphill segments in the i-th initial delivery path;

[0042] is the acceleration due to gravity; is the slope angle of the u-th uphill segment in the i-th initial delivery path;

[0043] is the length of the u-th uphill segment in the i-th initial delivery path;

[0044] is the total mass of the tanker truck; is the incremental coefficient of fuel consumption in the i-th initial delivery route; is the total length of the i-th initial delivery path;

[0045] And define The calculation formula is as follows:

[0046]

[0047] in is the fuel consumption of the current tanker truck in the uth uphill section of the i-th initial delivery path and the fuel consumption of the tanker truck in the uth uphill section of the i-th initial delivery path The difference in fuel consumption on a flat road;

[0048] Analyze the elevation change data of the i-th initial delivery path, and based on the elevation change data, split the i-th initial delivery path into The slope angle and length of each uphill segment were collected.

[0049] set up When , it means that the i-th initial delivery route is a high fuel consumption route. is the warning threshold of the road fuel consumption factor of the i-th initial delivery path; this embodiment is based on the expert group setting through the fuzzy analytic hierarchy process (FAHP) ;

[0050] The calculation formula of accident rate per kilometer is defined as follows:

[0051]

[0052] in, is the accident rate per kilometer in the i-th initial delivery route; The larger the value, the greater the probability of an accident occurring on the i-th initial delivery path;

[0053] is the total number of historical accidents of the i-th initial delivery route in the current estimated travel time period in the accident history data; the accident records are obtained through the traffic management department. is the total length of the i-th initial delivery path;

[0054] set up When , it means that the traffic safety risk of the i-th initial delivery path is high. is the warning threshold of the accident rate per kilometer of the i-th initial delivery path; this embodiment is based on the expert group using the fuzzy analytic hierarchy process (FAHP) to determine ;

[0055] The calculation formula for defining the frequency of non-motor vehicle insertion is as follows:

[0056]

[0057] in, is the estimated number of non-motorized vehicles intersecting the road in the i-th initial delivery route, Obtain the historical data of non-motor vehicles interspersed through the i-th initial delivery route in the past month; is the length of time of the i-th initial delivery path in the current estimated travel time period, in minutes. The length of this estimated travel time period is obtained through the initial delivery path corresponding to the navigation system; is the influencing factor of the i-th initial delivery path in the current estimated travel time period; ; is the total number of orders to be delivered by the h1th deliveryman in the i-th initial delivery route within the current estimated travel time period; is the number of expedited takeaway orders of the h1th deliveryman in the i-th initial delivery route within the current estimated travel time period, and H1 is the total number of deliverymen in the i-th initial delivery route within the current estimated travel time period; The larger the ratio, the higher the probability that the non-motor vehicle of the deliveryman will cross the road. The probability of the non-motor vehicle of the deliveryman crossing the road is higher than that of the ordinary non-motor vehicle. Therefore, it is considered as an influencing factor separately. The higher the number, the greater the corresponding non-motor vehicle crossing frequency.

[0058] is the frequency of non-motor vehicle insertion in the i-th initial delivery route, The larger the value, the higher the probability that non-motor vehicles will be inserted into the i-th initial delivery route, and thus the greater the impact on the driving safety of the tanker truck;

[0059] set up When , it means that the probability of non-motor vehicles interspersed in the i-th initial delivery route is large; is the warning threshold of the frequency of non-motor vehicle insertion in the i-th initial delivery route;

[0060] The calculation formula for defining the delivery path stability index is as follows:

[0061]

[0062] in, is the distribution path stability index of the i-th initial distribution path; The higher the value, the more unstable the i-th initial delivery path is;

[0063] , , and are the weight factors of the corresponding parameters, , , and all take values within the interval (0, 1), and ;

[0064] In this embodiment, initially set ;

[0065] Set the initial screening threshold of to be ; and ;

[0066] Set i ∈ {1, 2,..., N1}, where N1 is the total number of initial delivery routes;

[0067] Take the delivery routes that meet as alternative delivery routes;

[0068] Select the three with the smallest values from the alternative delivery routes as the sub-optimal delivery routes;

[0069] And denote these three sub-optimal delivery routes as P1, P2, and P3 respectively; and set Ph ∈ {P1, P2, P3}, where Ph is the index mark of any one of the three sub-optimal delivery routes.

[0070] Step S2: Collect the traffic blockage index, vehicle sinking index, and line-of-sight disturbance index of the diesel refueling area corresponding to each sub-optimal delivery route, and conduct a comprehensive analysis of these indexes to generate the reliability index of the diesel refueling area. The reliability index is used to provide an optimal strategy for the tanker truck types of each sub-optimal delivery route;

[0071] Further explanation: Define that the diesel refueling area includes, but is not limited to, farmland areas or construction sites where tanker trucks have difficulty passing through;

[0072] The traffic blockage index measures the degree of blockage of the traffic path of the farmland area or construction site that the tanker truck passes through when entering the farmland area or construction site for diesel refueling; it reflects the traffic efficiency when entering the diesel refueling area;

[0073] Denote the traffic blockage index of the diesel refueling area corresponding to the Ph-th sub-optimal delivery route as ;

[0074] Define the calculation formula of the traffic blockage index as follows:

[0075]

[0076] Among them, is the traffic blockage index of the diesel refueling area corresponding to the Ph-th sub-optimal delivery route;

[0077] is the actual estimated travel time of the tanker truck entering the diesel refueling area in the Ph-th suboptimal delivery route; the unit is (seconds);

[0078] It is the historical shortest travel time when the tanker truck enters the diesel filling area in the Ph-th suboptimal distribution path; the unit is (seconds), and the historical shortest travel time is obtained through standard tests or historical data.

[0079] Through field tests or historical data analysis, the optimal travel time in the diesel refueling area without obstruction is obtained.

[0080] set up It means that the actual estimated travel time is the same as the historical shortest travel time, and the travel path to the diesel refueling area is unobstructed;

[0081] It means that the actual estimated travel time is extended and the access path to the diesel refueling area is blocked;

[0082] It indicates that the access path to the diesel refueling area is severely blocked, and it is recommended to adjust the delivery time or choose a vehicle model that is suitable for fuel tanks; yes The warning threshold is set initially ; This range value is adaptively adjusted based on actual user needs and will not be elaborated on;

[0083] The vehicle stuck index is used to evaluate the frequency of vehicle stuck events on the passage path of the diesel filling area, reflecting the stability and safety of the passage path;

[0084] The calculation formula for defining the stuck vehicle index is as follows:

[0085]

[0086] in, is the vehicle stuck indicator of the diesel refueling area corresponding to the Ph-th suboptimal delivery route;

[0087] is the average number of vehicle stuck events recorded in a metering cycle by the traffic path in the diesel refueling area corresponding to the Ph-th suboptimal delivery path; the average number of vehicle stuck events records towing failure, vehicle landslide, wheel breakdown and slipping in the diesel refueling area, etc.;

[0088] In this embodiment, the “number of vehicle stuck events recorded in one measurement period” is the average number of vehicle stuck events in the month corresponding to the current time in the past three years;

[0089] It is the total area of ​​the access paths in the diesel refueling area corresponding to the Ph-th suboptimal delivery path; the unit is (square meters), which is obtained through GPS trajectory data or land surveying and mapping system.

[0090] Deploy vehicle monitoring sensors or use vehicle-mounted systems to record in real time incidents of tanker trucks getting stuck on the routes passing through diesel refueling areas, and apply to the management department for historical records of vehicle stuck incidents.

[0091] It means that there is no vehicle stuck event on the traffic path in the diesel refueling area corresponding to the Ph-th suboptimal delivery path, and the traffic in the diesel refueling area is stable;

[0092] It means that the passage path in the diesel refueling area corresponding to the Ph-th suboptimal delivery path has a high frequency of vehicle stuck events, and the passage path in the diesel refueling area is unstable, so it is necessary to change the delivery path or select an adaptive tanker vehicle model; yes The warning threshold is initially set ; This range value is adaptively adjusted based on actual user needs and will not be elaborated on;

[0093] The sight distance index evaluates the visual distance of tank trucks when entering the diesel filling area; it affects the safety of vehicle operation, especially in areas with dense vegetation or complex terrain.

[0094] The calculation formula for defining the sight distance nuisance index is as follows:

[0095]

[0096] in, is the sight distance trouble index of the diesel refueling area corresponding to the Ph-th suboptimal delivery path;

[0097] It is the standard sight distance of the passage path in the diesel refueling area corresponding to the Ph-th suboptimal delivery path, in meters, which is set according to the safety standard for tanker operation (for example, the standard sight distance is set to 300 meters).

[0098] is the actual visible distance of the travel path in the diesel refueling area corresponding to the Ph-th suboptimal delivery path; the unit is (meter); Specifically consider the impact of obstacles such as vegetation, terrain, and foggy weather;

[0099] Use a laser rangefinder or a high-precision GPS device to conduct actual line-of-sight measurements in the diesel filling area to obtain the actual visible distance. Alternatively, the client of the diesel delivery order uploads the environmental video of the passing path in the diesel filling area, and conducts image analysis on the environmental video to determine the actual visible distance of the passing path;

[0100] Indicates that the actual visible distance is consistent with the standard line-of-sight distance and there is no line-of-sight obstruction;

[0101] Indicates that the actual visible distance is lower than the standard line-of-sight distance, there is a risk of tanker truck driving, and it is necessary to adjust the tanker truck type or add auxiliary safety measures; Yes The warning threshold of; initially set ; This range value is adaptively adjusted based on actual user needs and will not be elaborated;

[0102] Define the reliability index calculation formula as follows:

[0103]

[0104] Among them, , And Are the weight factors of the corresponding parameters respectively, , And All take values in the interval (0, 1), and ;

[0105] Is the reliability index of the passing path in the diesel filling area corresponding to the Ph-th sub-optimal delivery path;

[0106] In this embodiment, according to the delivery environment and safety requirements of the diesel filling area, the following weight factors are set:

[0107] : Because blockage directly affects the delivery timeliness;

[0108] : Vehicle getting stuck affects the passing stability;

[0109] : Line-of-sight affects the operation safety;

[0110] For each sub-optimal delivery path P1, P2, and P3, apply the above formula to calculate the reliability index of the diesel filling area .

[0111] Summarize the values of each sub-optimal delivery path to form a reliability report, providing a basis for the subsequent optimal selection of tanker truck types;

[0112] Set The judgment interval is ; And Are the lower limit value and the upper limit value of the judgment interval respectively; Based on the expert group, the fuzzy analytic hierarchy process (FAHP) is used to determine ;

[0113] In this embodiment, set ; ;

[0114] Define the following for large oil tank trucks, medium oil tank trucks and small oil tank trucks of oil tank truck types:

[0115] The volume of a large oil tank truck is 20,000 liters and above;

[0116] The volume of a medium oil tank truck is between 5,000 liters and 20,000 liters;

[0117] The volume of a small oil tank truck is between 1,000 liters and 5,000 liters.

[0118] When It means that the diesel refueling area corresponding to the Ph-th sub-optimal delivery route is a high-reliability area; The high-reliability area is adapted to large oil tank trucks; The advantage is that the one-time delivery volume is large and the number of deliveries is reduced;

[0119] When It means that the diesel refueling area corresponding to the Ph-th sub-optimal delivery route is a medium-reliability area; The medium-reliability area is adapted to medium oil tank trucks; It can balance the diesel delivery volume and flexibility;

[0120] When It means that the diesel refueling area corresponding to the Ph-th sub-optimal delivery route is a low-reliability area; The low-reliability area is adapted to small oil tank trucks; It has high mobility and can adapt to complex environments;

[0121] For each sub-optimal delivery route, select the most suitable oil tank truck type according to the reliability index of its diesel refueling area.

[0122] In the diesel delivery platform, the platform inputs the oil tank truck type requirements corresponding to each path into the inventory management system.

[0123] The dispatching center allocates the corresponding type of oil tank truck to execute the delivery task according to the priority and resource situation.

[0124] Step S3: For each concentrated residential area passed by the sub-optimal delivery routes, collect the resident complaint rate and the sensitivity factors of children and the elderly when different types of oil tank trucks pass through the concentrated residential area; through the analysis and processing of the resident complaint rate and the sensitivity factors of children and the elderly, comprehensively generate a sub-optimal selection index; the sub-optimal selection index is used to screen out the optimal delivery route from the three sub-optimal delivery routes.

[0125] Cooperate with local government or community management departments to obtain resident complaint records when different types of oil tank trucks pass through each sub-optimal delivery route;

[0126] Establish an online complaint platform to collect relevant complaints from residents about the passing of oil tank trucks in real time;

[0127] Classify and sort out the complaint data according to the types of oil tank trucks, and record the number of complaints of each type of oil tank truck in each concentrated residential area.

[0128] Define the calculation formula of the resident complaint rate as follows:

[0129]

[0130] Where, is the resident complaint rate when the Ph-th sub-optimal delivery route selects the r-th type of oil tank truck, r ∈ {r1, r2, r3}, and r1, r2, and r3 represent large oil tank trucks, medium oil tank trucks, and small oil tank trucks respectively;

[0131] is the number of complaints of residents when the Ph-th sub-optimal delivery route selects the r-th type of oil tank truck;

[0132] is the number of passes when the Ph-th sub-optimal delivery route selects the r-th type of oil tank truck in the past year;

[0133] The larger the value, the greater the resident complaint trend when the Ph-th sub-optimal delivery route selects the r-th type of oil tank truck;

[0134] Define the calculation formula of the sensitivity factor of children and the elderly as follows:

[0135]

[0136] Where, is the comprehensive score of the sensitivity factor of children and the elderly when the Ph-th sub-optimal delivery route selects the r-th type of oil tank truck;

[0137] is the weight of the q-th sensitivity factor when the Ph-th sub-optimal delivery route selects the r-th type of oil tank truck, q ∈ {1, 2,..., Q}, and Q is the total number of sensitivity factor types;

[0138] is the score of children and the elderly on the qth sensitive factor when the Phth suboptimal delivery path selects the rth type tanker;

[0139] The rules for scoring the sensitivity factor are set as follows: the scoring values ​​are set to 0, 1, and 2, and the higher the value, the higher the sensitivity of children and the elderly;

[0140] Sensitive factors include, but are not limited to, noise sensitivity, traffic safety concerns, and environmental impact perception;

[0141] Here is an example:

[0142] Corresponding noise sensitivity

[0143] A score of 0 indicates no sensitivity:

[0144] Residents generally reported that the noise impact from tanker truck distribution was minimal or non-existent.

[0145] The surrounding buildings in this area are effectively soundproofed and the noise level meets national standards, so no additional control measures are required.

[0146] 1 point indicates moderate sensitivity:

[0147] Some residents reported that the noise from tanker trucks during delivery was disturbing and occasionally interfered with their normal lives.

[0148] Appropriate noise control measures need to be taken, such as limiting delivery time periods or using low-noise tanker trucks.

[0149] 2 points indicate high sensitivity:

[0150] Most residents said that the noise from tanker trucks during delivery caused obvious interference to their daily lives.

[0151] Strict noise control measures must be taken, such as limiting delivery times, choosing silent tanker trucks or adding noise barriers.

[0152] Concern about traffic safety:

[0153] 0 points means no attention:

[0154] Residents have no apparent concerns about traffic safety issues during tanker truck distribution activities.

[0155] The traffic conditions in this area are good, and the passage of tanker trucks is safe, so no additional safety measures are required.

[0156] 1 point indicates moderate concern:

[0157] Some residents expressed some concerns about traffic safety during tanker truck distribution activities, such as pedestrian crossing safety or vehicle traffic safety.

[0158] Certain traffic safety measures need to be taken, such as setting up speed bumps, adding traffic signs or arranging traffic guides.

[0159] 2 points indicate high attention:

[0160] Most residents are highly concerned about traffic safety issues in the distribution activities of oil tank trucks, and there are relatively large potential safety hazards.

[0161] Strict traffic safety management measures must be implemented, such as formulating dedicated distribution routes, restricting distributions during peak hours or strengthening traffic safety facilities.

[0162] Regarding the perception of environmental impact:

[0163] 0 points indicate no perceived impact:

[0164] Residents generally believe that the distribution activities of oil tank trucks have minimal or no impact on the environment.

[0165] The environmental protection facilities in this area are complete, and the emissions of oil tank trucks meet environmental protection standards, so no additional environmental protection measures are required.

[0166] 1 point indicates medium perceived impact:

[0167] Some residents perceive that the distribution activities of oil tank trucks have a certain impact on the environment, such as tail gas emissions or road stains.

[0168] Appropriate environmental protection measures need to be taken, such as using low-emission oil tank trucks, regularly cleaning the distribution routes or strengthening environmental monitoring.

[0169] 2 points indicate high perceived impact:

[0170] Most residents believe that the distribution activities of oil tank trucks have obvious negative impacts on the environment, such as serious tail gas pollution or deterioration of the road environment.

[0171] Strict environmental protection control measures must be taken, such as comprehensively replacing environmentally friendly oil tank trucks, optimizing distribution routes to reduce environmental impact or implementing environmental compensation measures.

[0172] The calculation formula for defining the sub-optimal selection index is as follows:

[0173]

[0174] Among them, is the sub-optimal selection index when the r-type oil tank truck is selected for the Ph-th sub-optimal distribution route;

[0175] d1 and d2 are the weight factors of the resident complaint rate and the sensitivity factor of children and the elderly respectively, and their sum is 1;

[0176] The lower the value, the smaller the impact of residents' complaints and sensitive factors, and the smaller the impact when selecting the r-type oil tanker for the Ph-th sub-optimal delivery route;

[0177] Select from the sub-optimal delivery routes P1, P2, and P3 The route with the lowest value as the optimal delivery route.

[0178] Through the above description of the implementation manners, those skilled in the art can clearly understand that the present invention can be implemented by means of software and necessary general hardware. Of course, it can also be implemented by hardware, but in many cases the former is a better implementation manner. Based on such an understanding, the technical solution of the present invention, in essence or the part that makes contributions to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as a floppy disk, a read-only memory (ROM), a random access memory (RAM), a flash memory (FLASH), a hard disk, or an optical disc of a computer, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods of the various embodiments of the present invention.

[0179] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence or the part that makes contributions to the prior art or a part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. And the foregoing storage medium includes: various media such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disc that can store program codes.

[0180] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a definable sequence list of executable instructions for implementing logical functions, and can be embodied specifically in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or in conjunction with these instruction execution systems, apparatuses, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0181] More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection portion with one or more wirings (electronic device), a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which a program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or other suitable processing as necessary, and then stored in a computer memory.

[0182] It should be understood that various parts of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGA), field programmable gate arrays (FPGA), etc. It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

[0183] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and all of them should be covered by the scope of the claims of the present invention.

Claims

1. A method for platform-based distribution of diesel by oil tank trucks, characterized in that, The specific steps include: Step S1: determining multiple initial delivery routes for diesel delivery orders, and collecting road condition indicators and traffic safety risk indicators for each initial delivery route; Road condition indicators include potential damage factors of roadside obstacles and road fuel consumption factors; Traffic safety risk indicators include the accident rate per kilometer in the accident history data of each initial delivery route during the current estimated travel time period, as well as the frequency of non-motor vehicle insertion; The road condition index and traffic safety risk index of each initial delivery path are analyzed and processed to comprehensively generate the delivery path stability index, which is used to screen out three suboptimal delivery paths from multiple initial delivery paths. Step S2: collecting the traffic congestion index, vehicle stuck index and sight distance trouble index of the diesel refueling area corresponding to each suboptimal delivery path, and performing a comprehensive analysis on these indexes to generate a reliability index of the diesel refueling area. The reliability index is used to provide a preferred strategy for the tanker type of each suboptimal delivery path; Step S3: For each residential area passed by the suboptimal delivery path, the resident complaint rate and child and elderly sensitivity factors when different types of tank trucks pass through the residential area are collected; by analyzing and processing the resident complaint rate and child and elderly sensitivity factors, a suboptimal selection index is comprehensively generated; the suboptimal selection index is used to select the optimal delivery path from the three suboptimal delivery paths.

2. The method for platform-based diesel delivery by an oil tanker according to claim 1, characterized in that: The calculation formula for defining the potential damage factor of roadside obstacles is as follows: Among them, is the potential infringement factor of roadside obstacles for the i-th initial delivery route, the larger the value, the worse the road conditions of the i-th initial delivery route; i represents the index mark of the initial delivery route; is the total length of the i-th initial delivery route; is the total number of obstacles on the i-th initial delivery route; is the shortest distance between the j-th obstacle on the i-th initial delivery route and the center line of the lane; is the weighted coefficient of the j-th obstacle on the i-th initial delivery route; When then ; And set When , the obstacle layout in the i-th initial delivery path will affect the driving safety of the tanker truck; is the warning threshold of the potential infringement factor of roadside obstacles on the i-th initial delivery path; The calculation formula for defining the road fuel consumption factor is as follows: Among them, is the road fuel consumption factor of the i-th initial delivery route, the larger the value, the greater the fuel consumption of the i-th initial delivery route; is the total number of uphill segments in the i-th initial delivery route; is the acceleration due to gravity; is the slope angle of the u-th uphill section in the i-th initial delivery route; is the length of the u-th uphill section in the i-th initial delivery route; is the total mass of the tanker truck; is the incremental coefficient of fuel consumption in the i-th initial delivery route; is the total length of the i-th initial delivery path; Setting indicates that the i-th initial delivery route is a high fuel consumption route, which is the warning threshold of the road fuel consumption factor of the i-th initial delivery route; The calculation formula of accident rate per kilometer is defined as follows: Among them, is the accident rate per kilometer in the i-th initial delivery route; The larger the value, the greater the probability of an accident occurring in the i-th initial delivery route; is the total number of historical accidents of the i-th initial delivery route during the current estimated travel time period in the accident history data; is the total length of the i-th initial delivery route; Setting indicates that the traffic safety risk of the i-th initial delivery route is high, which is the warning threshold of the accident rate per kilometer of the i-th initial delivery route; The calculation formula for defining the frequency of non-motor vehicle insertion is as follows: Among them, is the estimated number of non-motor vehicle interspersed roads in the i-th initial delivery route; is the time length of the i-th initial delivery route in the current estimated passing time period, with the unit of minute; is the influence factor of the i-th initial delivery route in the current estimated passing time period; ; is the total number of orders to be delivered by the h1-th deliveryman in the i-th initial delivery route in the current estimated passing time period; is the number of urgent delivery orders of the h1-th deliveryman in the i-th initial delivery route in the current estimated passing time period, and H1 is the total number of deliverymen in the i-th initial delivery route in the current estimated passing time period; The larger the ratio, the higher the probability of non-motor vehicle interspersed roads for deliverymen; is the frequency of non-motor vehicle insertion in the i-th initial delivery route, The larger the value, the higher the probability that non-motor vehicles will be inserted into the i-th initial delivery route, and thus the greater the impact on the driving safety of the tanker truck; Setting indicates that the non-motor vehicle penetration probability of the i-th initial delivery route is high; is the warning threshold of the non-motor vehicle penetration frequency of the i-th initial delivery route.

3. The method for distributing diesel using a tank truck platform according to claim 2, characterized in that: The calculation formula for defining the delivery path stability index is as follows: Among them, is the delivery route stability index of the i-th initial delivery route; The higher the value, the more unstable the i-th initial delivery route is; , , and are the weighting factors of the corresponding parameters, , , and all take values within the interval (0, 1), and ; Set The primary screening threshold is ; and ; Set i∈{1,2,…,N1}, where N1 is the total number of initial delivery paths; Take the delivery routes that meet as alternative delivery routes; Select the three routes with the smallest values ​​from the alternative delivery routes as the suboptimal delivery routes; The three suboptimal delivery paths are denoted as P1, P2 and P3 respectively; and Ph∈{P1, P2, P3} is set, where Ph is the index mark of any one of the three suboptimal delivery paths.

4. The method for platform-based diesel distribution by an oil tanker according to claim 3, characterized in that: Diesel fueling areas are defined to include, but are not limited to, farmland areas or construction sites that are difficult for tank trucks to access; The traffic congestion index measures the degree of congestion of the traffic path that the tanker truck passes through when entering the diesel filling area to fill diesel; The calculation formula for defining the traffic congestion index is as follows: Among them, is the traffic congestion index of the diesel refueling area corresponding to the Ph-th sub-optimal delivery route; is the actual estimated travel time of the tanker truck entering the diesel refueling area in the Ph-th suboptimal delivery route; is the historical shortest travel time for the tanker truck to enter the diesel refueling area in the Ph-th suboptimal distribution route; Settings Indicates that the actual estimated travel time is the same as the historical shortest travel time, and there is no blockage on the travel path in the diesel filling area; Indicates that the actual estimated travel time is extended and there is a blockage in the travel path of the diesel refueling area; Indicates that there is a serious blockage in the access path of the diesel fuel filling area. It is recommended to adjust the delivery time or select a suitable oil tanker model; Yes The warning threshold of ; The vehicle-trapping index evaluates the frequency of vehicle-trapping incidents on the paths used by tanker trucks in diesel refueling areas; The calculation formula for defining the stuck vehicle index is as follows: Among them, is the vehicle sinking index of the diesel refueling area corresponding to the Ph-th sub-optimal delivery route; is the average number of vehicle bogging-down events recorded for the passing routes within a metering period in the diesel refueling area corresponding to the Ph-th sub-optimal delivery route; is the total area of ​​the passage paths in the diesel refueling area corresponding to the Ph-th suboptimal delivery path; It means that there is no vehicle sinking event on the passing path in the diesel refueling area corresponding to the Ph-th sub-optimal delivery path, and the passing is stable; It means that the traffic path in the diesel refueling area corresponding to the Ph-th suboptimal delivery path has a high frequency of vehicle stuck events, the traffic path is unstable, and the delivery path needs to be changed or an adaptive tanker vehicle model needs to be selected; yes The warning threshold, ; The sight distance nuisance index is to evaluate the visual distance of the tanker truck when entering the diesel filling area; The calculation formula for defining the sight distance nuisance index is as follows: Among them, is the line-of-sight disturbance index of the diesel refueling area corresponding to the Ph-th sub-optimal delivery route; is the standard sight distance of the passing path in the diesel refueling area corresponding to the Ph-th sub-optimal delivery path; is the actual visible distance of the passing path in the diesel refueling area corresponding to the Ph-th sub-optimal delivery path; Indicates that the actual visible distance is consistent with the standard viewing distance and there is no line-of-sight obstruction; Indicates that the actual visible distance is lower than the standard visual distance, there is a risk of oil tanker driving, and the type of oil tanker needs to be adjusted; Yes Warning threshold; .

5. The method for distributing diesel using a tank truck platform according to claim 4, characterized in that: The calculation formula of reliability index is defined as follows: Among them, , and are the weight factors of the corresponding parameters respectively, , and are all within the interval (0, 1), and ; is the reliability index of the passing path in the diesel refueling area corresponding to the Ph-th sub-optimal delivery path; Setting The judgment interval of ; And Are respectively the lower limit value and the upper limit value of the judgment interval; When it indicates that the diesel fuel filling area corresponding to the Ph-th sub-optimal delivery route is a high-reliability area; the high-reliability area is adapted to large oil tank trucks; When it indicates that the diesel fuel filling area corresponding to the Ph-th sub-optimal delivery route is a medium reliability area; the medium reliability area is adapted to medium-sized oil tank trucks; When it indicates that the diesel fuel filling area corresponding to the Ph-th sub-optimal delivery route is a low-reliability area; the low-reliability area is adapted to small oil tank trucks.

6. The method for platform-based diesel distribution by an oil tanker according to claim 5, characterized in that: The calculation formula for defining the resident complaint rate is as follows: Among them, is the resident complaint rate under the selection of the $Ph$-th sub-optimal delivery route for the $r$-th type of oil tanker, where $r\in\{r_1,r_2,r_3\}$, and $r_1$, $r_2$, and $r_3$ are the index marks representing large oil tankers, medium oil tankers, and small oil tankers respectively; is the number of resident complaints under the r - type oil tanker for the Ph - th sub - optimal delivery route selection; is the number of times passed under the r - type oil tanker for the Ph - th sub - optimal delivery route in the past year; The larger the value, the greater the tendency of residents' complaints when the Ph-th suboptimal delivery route selects the r-th type tanker; The calculation formula for defining the sensitivity factor for children and the elderly is as follows: in, It is the comprehensive score of the sensitivity factors of children and the elderly when the Ph-th suboptimal delivery path selects the r-th type tanker; is the weight of the q-th sensitivity factor when the r-th type of oil tanker is selected for the Ph-th sub-optimal distribution route, where q ∈ {1, 2, …, Q} and Q is the total number of sensitivity factor types; is the score of the q-th sensitive factor by children and the elderly when the r-th type of tanker truck is selected for the Ph-th sub-optimal delivery route; The rule setting for the scoring of sensitive factors is as follows: Set the scoring values of q types of sensitive factors to 0, 1, and 2 in sequence. The higher the value, the higher the sensitivity of children and the elderly. Sensitive factors include but are not limited to noise sensitivity, traffic safety attention, and environmental impact perception.

7. The method for platform-based diesel distribution by an oil tanker according to claim 6, wherein: Define the calculation formula for the sub-optimal selection index as follows: Among them, is the sub-optimal selection index when the r-type oil tanker is selected for the Ph-th sub-optimal distribution route; d1 and d2 are respectively the weight factors of the resident complaint rate and the sensitive factor of children and the elderly, and the sum of d1 and d2 is 1; the values of d1 and d2 are both in the interval (0, 1); The lower the value, the smaller the impact of residents' complaints and sensitive factors, and the smaller the impact when the r-type oil tanker is selected for the Ph-th sub-optimal distribution route; Select from the sub-optimal delivery routes P1, P2 and P3 The route with the lowest value as the optimal delivery route.

Images