Vehicle transportation mileage settlement system based on vehicle networking

Abstract

The application discloses a vehicle transportation mileage settlement system based on Internet of Vehicles and relates to the technical field of vehicle transportation settlement. The application discloses a vehicle transportation mileage settlement system based on Internet of Vehicles and relates to the technical field of vehicle transportation settlement. The application discloses a vehicle transportation mileage settlement system based on Internet of Vehicles and relates to the technical field of vehicle transportation settlement. The application discloses a vehicle transportation mileage settlement system based on Internet of Vehicles and relates to the technical field of vehicle transportation settlement. The application discloses a vehicle transportation mileage settlement system based on Internet of Vehicles and relates to the technical field of vehicle transportation settlement. The application discloses a vehicle transportation mileage settlement system based on Internet of Vehicles and relates to the technical field of vehicle transportation settlement. The application discloses a vehicle transportation mileage settlement system based on Internet of Vehicles and relates to the technical field of vehicle transportation settlement. The application discloses a vehicle transportation mileage settlement system based on Internet of Vehicles and relates to the technical field of vehicle transportation settlement. The application discloses a vehicle transportation mileage settlement system based on Internet of Vehicles and relates to the technical field of vehicle transportation settlement. The application discloses a vehicle transportation mileage settlement system based on Internet of Vehicles and relates to the technical field of vehicle transportation settlement. The application discloses a vehicle transportation mileage settlement system based on Internet of Vehicles and relates to the technical field of vehicle transportation settlement. The application discloses a vehicle transportation mileage settlement system based on Internet of Vehicles and relates to the technical field of vehicle transportation settlement. The application discloses a vehicle transportation mileage settlement system based on Internet of Vehicles and relates to the technical field of vehicle transportation settlement. The application discloses a vehicle transportation mileage settlement system based on Internet of Vehicles and relates to the technical field of vehicle transportation settlement. The application discloses a vehicle transportation mileage settlement system based on Internet of Vehicles and relates to the technical field of vehicle transportation settlement. The application discloses a vehicle transportation mileage settlement system based on Internet of Vehicles and relates to the technical field of vehicle transportation settlement. The application discloses a vehicle transportation mileage settlement system based on Internet of Vehicles and relates to the technical field of vehicle transportation settlement. The application

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicle transportation settlement, in particular to a vehicle transportation mileage settlement system based on Internet of Vehicles. BACKGROUND

[0002] Vehicle transportation settlement technology refers to a technical system that uses digital means such as Internet of Things, big data, and blockchain to collect, verify, and intelligently analyze key data such as mileage, time, and road conditions during transportation, to realize automatic and accurate calculation and payment of transportation fees. The core goal is to solve the pain points of low efficiency, large errors, many disputes, and poor transparency in traditional transportation settlement.

[0003] Existing vehicle transportation settlement technology usually determines the settlement fee by manual estimation or uses a fixed rate based on the driving mileage. However, there are many factors that affect the transportation cost of vehicles during transportation, which leads to unstable income of freight practitioners. In addition, the consignor has no reference standard when settling transportation fees, and needs to negotiate with freight practitioners multiple times or compromise to determine the settlement fee. For example, in the Chinese patent with the application number "CN115953088A", a "whole vehicle logistics transportation management method, device, equipment and storage medium" is disclosed. This scheme does not consider the fluctuation of transportation cost and does not establish a settlement standard for transportation fees when settling transportation fees, resulting in no fixed basis for settlement of transportation fees. The existing vehicle transportation settlement technology still lacks a reasonable standard for transportation fees and does not fully consider the factors affecting transportation cost, leading to no fixed basis for settlement of transportation fees and the problem of unreasonable transportation fees. SUMMARY

[0004] The present application aims to at least partially solve one of the technical problems in the prior art. By recording the driving data and cargo data of vehicles, grouping the driving data, cargo data, and final settlement fee within the same industry, obtaining the freight data group, calculating the weight coefficient of the impact of load on the settlement fee, the road coefficient of the impact of different road compositions on the settlement fee, and the energy consumption coefficient of the impact of special function energy consumption on the settlement fee, analyzing the error level between the settlement fee calculated by the transportation mileage settlement formula and the industry data, and finally calculating the settlement fee of the vehicle while introducing the error level for secondary adjustment of the settlement fee, the present application solves the problem of lack of reasonable standard for transportation fees in the existing vehicle transportation settlement technology and the problem of not fully considering the factors affecting transportation cost, leading to no fixed basis for settlement of transportation fees and the problem of unreasonable transportation fees.

[0005] To achieve the above object, the application provides a vehicle transportation mileage settlement system based on Internet of Vehicles, which comprises a driving data recording module, an industry data grouping module, a cost coefficient calculation module and a transportation mileage settlement module; the driving data recording module, the industry data grouping module and the transportation mileage settlement module are respectively connected with the cost coefficient calculation module in data;

[0006] The driving data recording module is used for recording driving data and loading data of the vehicle;

[0007] The industry data grouping module is used for grouping driving data, loading data and final settlement cost in the same industry to obtain a freight data group;

[0008] The cost coefficient calculation module is used for calculating cost coefficients of different roads, loads and special functions based on the freight data group;

[0009] The transportation mileage settlement module is used for settling the transportation mileage of the vehicle based on the actual driving data and loading data of the vehicle and the cost coefficients.

[0010] Further, the driving data recording module is configured with a driving data recording strategy, which comprises:

[0011] The driving data of the vehicle is recorded, which comprises road composition and driving mileage, and the road composition comprises percentages of mountain road, regular road and unpaved road in the driving process, which are respectively named as mountain road percentage, regular road percentage and unpaved road percentage;

[0012] The loading data of the vehicle is recorded, which comprises load and special function energy consumption.

[0013] Further, the industry data grouping module is configured with an industry data grouping strategy, which comprises:

[0014] A piece of driving data and corresponding loading data and settlement cost are named as industry data;

[0015] The industry data with zero special function energy consumption is first summarized as a group and named as no extra energy consumption group, and the remaining industry data is summarized as a group and named as extra energy consumption group.

[0016] Further, the cost coefficient calculation module comprises a road coefficient calculation unit, a weight coefficient calculation unit and an energy consumption coefficient calculation unit;

[0017] The weight coefficient calculation unit is used for calculating a weight coefficient of the influence of load on settlement cost;

[0018] The road coefficient calculation unit is used to calculate the road coefficients that affect the settlement cost for different road compositions.

[0019] The energy consumption coefficient calculation unit is used to calculate the energy consumption coefficient that determines the impact of special function energy consumption on settlement costs.

[0020] Furthermore, the weight coefficient calculation unit is configured with a weight coefficient calculation strategy, which includes:

[0021] Find industry data where the proportion of conventional roads in groups with no additional energy consumption is 100%, and name it Weight Reference Data;

[0022] The mileage and settlement cost in the weight reference data are labeled as WM and WSF, respectively. The cost required for the vehicle to travel one kilometer of regular road in the weight reference data is calculated by WSF / WM, and named as the unit price of travel.

[0023] The load capacity of the weight reference data is numbered using the symbol WL. n It is indicated that WL n The corresponding unit price for driving is marked as WLP. n ;

[0024] Search WLP n The minimum value in the range is labeled WLP. Min Calculate WLP n / WLP Min The calculation result is named the weight reference factor, using the symbol WRF. n express;

[0025] A two-dimensional coordinate system is established with load as the X-axis and weight reference factor as the Y-axis, named the weight factor distribution chart. The WRF (Weight Reference Factor) is then used. n According to WL n Enter the weight coefficient distribution chart;

[0026] By fitting a function to the weight coefficient distribution map, the weight coefficient distribution function can be obtained. Substituting the load into the weight coefficient distribution function, the weight coefficient for different loads can be solved.

[0027] Furthermore, the road coefficient calculation unit is configured with a road coefficient calculation strategy, which includes:

[0028] The road coefficients for mountain roads, conventional roads, and unpaved roads are named mountain road coefficient, conventional road coefficient, and unpaved road coefficient, respectively, with the conventional road coefficient fixed at 1.

[0029] Find the industry data in the extra energy consumption group without mountain road proportion and regular road proportion not being zero and non-paved road proportion being zero, named mountain road reference data; find the industry data in the extra energy consumption group without mountain road proportion and regular road proportion not being zero and non-paved road proportion being zero, named non-paved reference data;

[0030] Mark the load, driving mileage and settlement fee in the mountain road reference data as ML, MM and MSF respectively, and mark the mountain road proportion and regular road proportion as MMP and MRP respectively; mark the load, driving mileage and settlement fee in the non-paved reference data as NL, NM and NSF respectively, and mark the non-paved road proportion and regular road proportion as NMP and NRP respectively;

[0031] There is a transportation mileage settlement formula for calculating the settlement fee, and the transportation mileage settlement formula is Simplify to get , wherein EC is the energy consumption coefficient, WF is the weight coefficient, MG is the driving mileage, PMR is the mountain road proportion, MRC is the mountain road coefficient, PCR is the regular road proportion, PUR is the non-paved road proportion, CUR is the non-paved coefficient, and SF is the settlement fee;

[0032] For any mountain road reference data, substitute ML into the weight coefficient distribution function to solve the weight coefficient, marked as wf, and assume the mountain road coefficient as a, substitute PMR=MMP, MRC=a, PCR=MRP, PUR=0, EC=1, MG=MM, WF=wf and SF=MSF into the transportation mileage settlement formula, at this time PUR=0, the formula becomes , solve a to get the mountain road reference coefficient of the mountain road reference data, calculate the mountain road reference coefficient of each mountain road reference data;

[0033] For any non-paved reference data, substitute NL into the weight coefficient distribution function to solve the weight coefficient, marked as wf, and assume the non-paved coefficient as b, substitute PUR=NMP, CUR=b, PCR=NRP, PMR=0, EC=1, MG=NM, WF=wf and SF=NSF into the transportation mileage settlement formula, at this time PMR=0, the formula becomes , solve b to get the non-paved reference coefficient of the non-paved reference data, calculate the non-paved reference coefficient of each non-paved reference data;

[0034] Calculate the average value of the mountain road reference coefficient to get the mountain road coefficient, and calculate the average value of the non-paved reference coefficient to get the non-paved coefficient.

[0035] Further, the energy consumption coefficient calculation unit is configured with an energy consumption coefficient calculation strategy, and the energy consumption coefficient calculation strategy comprises:

[0036] The industry data in the additional energy consumption group is named as energy consumption data, for any energy consumption data, the load is substituted into the weight coefficient distribution function to solve the weight coefficient, then the weight coefficient, driving mileage, mountain road proportion, mountain road coefficient, conventional road proportion, non-paved road proportion, non-paved coefficient and settlement fee are substituted into the transportation mileage settlement formula to solve EC and name it as energy consumption reference coefficient;

[0037] The energy consumption reference coefficient of each energy consumption data is calculated, the average value of the energy consumption reference coefficient is calculated to obtain the energy consumption coefficient;

[0038] The weight coefficient, road coefficient and energy consumption coefficient are the cost coefficient.

[0039] Further, the transportation mileage settlement module comprises a cost error analysis unit and a transportation mileage settlement unit;

[0040] The cost error analysis unit is used to analyze the error level between the settlement fee calculated by the transportation mileage settlement formula and the industry data;

[0041] The transportation mileage settlement unit is used to calculate the settlement fee of the vehicle, and the error level is introduced to adjust the settlement fee again.

[0042] Further, the cost error analysis unit is configured with a cost error analysis strategy, and the cost error analysis strategy comprises:

[0043] Each industry data and the corresponding cost coefficient are substituted into the transportation mileage settlement formula to calculate the settlement fee, which is named as estimated cost, and the original settlement fee of the industry data is named as actual cost;

[0044] The estimated cost is marked as Q1, and the actual cost is marked as Q2, Q2 / Q1 is calculated to obtain the error level.

[0045] Further, the transportation mileage settlement unit is configured with a transportation mileage settlement strategy, and the transportation mileage settlement strategy comprises:

[0046] The error level is set by the manager and named as error special level;

[0047] The actual driving data and load data of the vehicle are obtained, substituted into the transportation mileage settlement formula to calculate the settlement fee, named as initial cost, and the initial cost is multiplied by the error special level to obtain the final cost;

[0048] After the vehicle completes transportation, the final cost is automatically paid to the driver.

[0049] The beneficial effects of the present application are: by recording the driving data and the cargo data of the vehicle, grouping the driving data, the cargo data and the final settlement fee in the same industry, obtaining the freight data group, then calculating the weight coefficient of the influence of the load on the settlement fee, and calculating the road coefficient of the influence of different road compositions on the settlement fee, and calculating the energy consumption coefficient of the influence of special functions on the settlement fee, the advantages are that among the factors affecting the transportation cost, the load, the road composition and whether there is additional energy consumption have the greatest influence on the transportation cost, for example, the transportation cost of a vehicle with full load and enabled cold chain in a mountainous road transportation path is obviously higher than that of a vehicle with half load and without enabled cold chain in a conventional road transportation path, therefore, different factors have different cost coefficients, which are used to adjust the increase of the basic transportation cost, and the accuracy and rationality of the vehicle transportation settlement are improved.

[0050] The present application calculates the settlement fee of the vehicle by analyzing the error level between the settlement fee calculated by the transportation mileage settlement formula and the industry data, and finally calculates the settlement fee of the vehicle, and introduces the error level to adjust the settlement fee again, the advantages are that when the error level is not introduced, the calculated settlement fee tends to be the average level of the same industry, and the error level can be used by the requester to quickly adjust the settlement fee paid by the requester in the same industry, and the basic calculation basis of the settlement fee is not deviated, and the effectiveness and rationality of the vehicle transportation settlement are improved. BRIEF DESCRIPTION OF DRAWINGS

[0051] Figure 1 It is the principle block diagram of the system of the present application;

[0052] Figure 2 It is the schematic diagram of the operation steps of the present application;

[0053] Figure 3 It is the weight coefficient distribution diagram of the present application. DETAILED DESCRIPTION

[0054] It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the present application. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs.

[0055] It should be noted that the terms used herein are only for the purpose of describing the specific embodiments, and are not intended to limit the exemplary embodiments according to the present application.

[0056] The embodiments in the present application and the features in the embodiments can be combined with each other without conflict.

[0057] Embodiment 1, please refer to Figure 1As shown, the application provides a vehicle transportation mileage settlement system based on Internet of Vehicles, which comprises a driving data recording module, an industry data grouping module, a cost coefficient calculation module and a transportation mileage settlement module; the driving data recording module, the industry data grouping module and the transportation mileage settlement module are respectively connected with the cost coefficient calculation module in data;

[0058] Please refer to Figure 2 As shown, the driving data recording module is used for recording the driving data and the load data of the vehicle;

[0059] The driving data recording module is configured with a driving data recording strategy, which comprises:

[0060] The driving data of the vehicle is recorded, and the driving data comprises road composition and driving mileage, and the road composition comprises the percentages of mountain road, conventional road and unpaved road in the driving process, which are respectively named as mountain road percentage, conventional road percentage and unpaved road percentage;

[0061] The load data of the vehicle is recorded, and the load data comprises load and special function energy consumption;

[0062] In actual application, Figure 2 The running steps of the vehicle transportation mileage settlement system based on Internet of Vehicles are shown; the conventional road is the paved road other than the mountain road, the rural soil road and the gravel road are the unpaved roads, and the mountain road is the road in the mountain area, which will frequently appear ups and downs, and the mountain road percentage, the conventional road percentage and the unpaved road percentage can be directly obtained through the navigation planning path, which will not be specifically described in the embodiment; for example, in the selected line of transportation, 70% is the conventional road, i.e. the ordinary paved road, 20% is the mountain road, and 10% is the unpaved road, then the mountain road percentage is 20%, the conventional road percentage is 70%, the unpaved road percentage is 10%, the load is the weight of the goods transported by the vehicle, and the consigner will usually weigh the goods before entrusting the driver to transport, so as to ensure that the weight of the goods matches the load of the vehicle, and the special function energy consumption is not actually the energy consumption of the special function, but only needs to record whether the special function is enabled, in the vehicle freight transportation, the special function usually refers to the cold chain transportation, which needs to refrigerate the vehicle compartment to ensure the freshness of the goods, and the refrigeration will consume additional energy of the vehicle, so as to increase the transportation cost, which needs to be included in the reference range, and since there are various types of freight vehicles, the transportation cost of different types of vehicles is also different, so the different types of vehicles are analyzed independently, i.e. each type of vehicle has an independent cost coefficient, and the types of trucks are roughly divided into small trucks, medium trucks, large trucks and semi-trailers, and the data listed in the embodiment are all the data of semi-trailers, i.e. the cost coefficient is only applicable to semi-trailers, and the cost coefficients of the trucks of other types can be calculated by the same way, which will not be specifically described in the embodiment.

[0063] The industry data grouping module is used to group driving data, cargo data, and final settlement fees within the same industry to obtain freight data groups;

[0064] The industry data grouping module is configured with industry data grouping strategies, which include:

[0065] Name a single driving data point, along with its corresponding cargo data and settlement fee, as industry data.

[0066] First, group the industry data with zero energy consumption for special functions into one group and name it the "No Additional Energy Consumption Group". Then, group the remaining industry data into another group and name it the "Additional Energy Consumption Group".

[0067] In practical applications, for example, in one piece of industry data, the driving mileage is 500km, the proportion of mountain roads is 20%, the proportion of regular roads is 70%, the proportion of unpaved roads is 10%, the load is 20t, the cold chain is not used, and the settlement cost is 6000 yuan. These together constitute one piece of industry data. Industry data without cold chain is integrated into a group with no additional energy consumption, and industry data with cold chain is integrated into a group with additional energy consumption.

[0068] The cost factor calculation module is used to calculate the cost factors for different roads, loads, and special functions based on freight data sets; the cost factor calculation module includes a road factor calculation unit, a weight factor calculation unit, and an energy consumption factor calculation unit.

[0069] The weight factor calculation unit is used to calculate the weight factor that affects the settlement cost;

[0070] The weight factor calculation unit is configured with a weight factor calculation strategy, which includes:

[0071] Find industry data where the proportion of conventional roads in groups with no additional energy consumption is 100%, and name it Weight Reference Data;

[0072] The mileage and settlement cost in the weight reference data are labeled as WM and WSF, respectively. The cost required for the vehicle to travel one kilometer of regular road in the weight reference data is calculated by WSF / WM, and named as the unit price of travel.

[0073] The load capacity of the weight reference data is numbered using the symbol WL. n It is indicated that WL n The corresponding unit price for driving is marked as WLP. n ;

[0074] In practical application, the extra cost caused by cold chain transportation is not included in the weight reference data, and the transportation cost increase caused by mountain road and unpaved road is also not included, so the only factor affecting the settlement cost is the load, and the WSF / WM can be calculated to obtain the cost required for vehicle transportation per kilometer under different load conditions, that is, the driving unit price. For example, in a certain weight reference data, the load is 5t, the driving distance is 500km, and the settlement cost is 4000 yuan. The driving unit price is calculated to be 8 yuan / km, that is, when the load is 5t in this weight reference data, the vehicle needs to pay 8 yuan per kilometer as transportation fee. Calculate all weight reference data to get WLP n , 1≤n≤1832, that is, there are 1832 weight reference data, and 1832 driving unit prices are calculated;

[0075] Find the minimum value in WLP n , mark it as WLP Min , calculate WLP n / WLP Min , and name the calculation result as weight reference coefficient, which is represented by symbol WRF n ;

[0076] Please refer to Figure 3 , a two-dimensional coordinate system is established with load as X axis and weight reference coefficient as Y axis, named weight coefficient distribution diagram, and WRF n is recorded in the weight coefficient distribution diagram; n

[0077] The weight coefficient distribution diagram is functionally fitted to obtain the weight coefficient distribution function, and the load is substituted into the weight coefficient distribution function to solve the weight coefficient of different loads;

[0078] In practical application, WLP Min is found to be 8 yuan / km, for example, WLP 145 is 10 yuan / km, and the weight reference coefficient WRF 145 is calculated to be 1.25, and the weight coefficient distribution diagram is constructed as shown in Figure 2 , and the weight coefficient distribution function is obtained by function fitting Y=0.0191X+0.9089, wherein Y is the weight reference coefficient and X is the load. Since the existing transportation fee is usually obtained by negotiation between the freight driver and the consignor, the fluctuation is large;

[0079] The road coefficient calculation unit is used to calculate the road coefficient of the influence of different road compositions on the settlement cost.

[0080] The road coefficient calculation unit is configured with a road coefficient calculation strategy, and the road coefficient calculation strategy includes:

[0081] ​The road coefficients of mountain road, conventional road and non-paved road are named as mountain road coefficient, conventional coefficient and non-paved coefficient respectively, and the conventional coefficient is fixed as 1;

[0082] The industry data in which the mountain road proportion and the conventional road proportion are not zero and the non-paved road proportion is zero in the no additional energy consumption group is named as mountain road reference data; the industry data in which the non-paved road proportion and the conventional road proportion are not zero and the mountain road proportion is zero in the no additional energy consumption group is named as non-paved reference data;

[0083] The load, driving mileage and settlement fee in the mountain road reference data are marked as ML, MM and MSF respectively, and the mountain road proportion and the conventional road proportion are marked as MMP and MRP respectively; the load, driving mileage and settlement fee in the non-paved reference data are marked as NL, NM and NSF respectively, and the non-paved road proportion and the conventional road proportion are marked as NMP and NRP respectively;

[0084] In actual application, only the mountain road and the conventional road exist in the mountain road reference data, which can more accurately calculate the influence of the mountain road on the transportation cost, and the non-paved reference data is the same, which can more accurately calculate the influence of the non-paved road on the transportation cost; since the processes of calculating the mountain road coefficient and the non-paved coefficient are the same, only the process of calculating the mountain road coefficient is taken as an example for illustration in the embodiment; for example, in a certain mountain road reference data, the load ML is 12t, the driving mileage MM is 608km, the settlement fee MSF is 6018 yuan, the mountain road proportion MMP is 20%, and the conventional road proportion MRP is 80%;

[0085] There is a transportation mileage settlement formula for calculating the settlement fee, and the transportation mileage settlement formula is After simplification, it is obtained that , wherein EC is the energy consumption coefficient, WF is the weight coefficient, MG is the driving mileage, PMR is the mountain road proportion, MRC is the mountain road coefficient, PCR is the conventional road proportion, PUR is the non-paved road proportion, CUR is the non-paved coefficient, and SF is the settlement fee;

[0086] In actual application, in the transportation mileage settlement formula, WLP min represents the unit price of the lowest load of the vehicle running the conventional road per kilometer when transporting goods, EC is the energy consumption coefficient, which represents the increase rate of the transportation cost of the cold chain per kilometer, WF is the weight coefficient, which represents the increase rate of the transportation cost of the load per kilometer, the mountain road coefficient and the non-paved coefficient respectively represent the increase rate of the transportation cost per kilometer of the mountain road or the non-paved road compared with the transportation cost per kilometer of the conventional road, and the fee coefficient is all applied to WLP min , that is, WLP min is the unit price based on the basic unit price, and the kilometer number and the road composition are used to calculate WLP minThe increase is carried out, and finally the freight price applicable to the current transportation is obtained, and finally multiplied by the driving mileage of the vehicle, so as to automatically calculate the labor remuneration paid to the freight driver under different conditions, that is, the settlement cost;

[0087] For any mountain reference data, ML is substituted into the weight coefficient distribution function to solve the weight coefficient, which is marked as wf, and it is assumed that the mountain coefficient is a, PMR=MMP, MRC=a, PCR=MRP, PUR=0, EC=1, MG=MM, WF=wf and SF=MSF are substituted into the transportation mileage settlement formula, at this time PUR=0, the formula becomes , solve a, get the mountain reference coefficient of the mountain reference data, calculate the mountain reference coefficient of each mountain reference data;

[0088] For any non-paved reference data, NL is substituted into the weight coefficient distribution function to solve the weight coefficient, which is marked as wf, and it is assumed that the non-paved coefficient is b, PUR=NMP, CUR=b, PCR=NRP, PMR=0, EC=1, MG=NM, WF=wf and SF=NSF are substituted into the transportation mileage settlement formula, at this time PMR=0, the formula becomes , solve b, get the non-paved reference coefficient of the non-paved reference data, calculate the non-paved reference coefficient of each non-paved reference data;

[0089] The average value of the mountain reference coefficient is calculated to obtain the mountain coefficient, and the average value of the non-paved reference coefficient is calculated to obtain the non-paved coefficient;

[0090] In actual application, taking the above-mentioned data as an example, the load ML is 12t, X=12 is substituted into Y=0.0191×X+0.9089 to solve wf as 1.1381, and since the mountain reference data belongs to the non-energy-consuming group, EC=1, EC will not affect the freight price, PMR=MMP=20%, PCR=MRP=80%, MG=MM=608km, WF=wf=1.1381, SF=MSF=6018yuan, and a is solved to obtain the mountain reference coefficient, and the calculation result is rounded to two decimal places; the mountain reference coefficient of each mountain reference data is calculated, and the average value of the mountain reference coefficient is calculated to obtain the mountain coefficient as 1.42, which represents that the freight price during transportation will increase by 0.42 when running on the mountain road compared with running on the regular road, that is, the freight price of the regular road is 1.42 times; similarly, the non-paved coefficient is solved, and finally the non-paved coefficient is 1.54.

[0091] The energy consumption coefficient calculation unit is configured with an energy consumption coefficient calculation strategy, and the energy consumption coefficient calculation strategy comprises:

[0092] The energy consumption coefficient calculation unit is configured with an energy consumption coefficient calculation strategy, and the energy consumption coefficient calculation strategy comprises:

[0093] The industry data in the additional energy consumption group is named as energy consumption data, for any energy consumption data, the load is substituted into the weight coefficient distribution function to solve the weight coefficient, and then the weight coefficient, the driving distance, the mountain road proportion, the mountain road coefficient, the conventional road proportion, the non-paved road proportion, the non-paved coefficient and the settlement fee are substituted into the transportation mileage settlement formula to solve EC and name it as the energy consumption reference coefficient;

[0094] The energy consumption reference coefficient of each energy consumption data is calculated, the average value of the energy consumption reference coefficient is calculated, and the energy consumption coefficient is obtained;

[0095] The weight coefficient, the road coefficient and the energy consumption coefficient are the cost coefficient;

[0096] In actual application, in all energy consumption data, the weight coefficient, the driving distance, the mountain road proportion, the mountain road coefficient, the conventional road proportion, the non-paved road proportion, the non-paved coefficient and the settlement fee are known data, only EC in the transportation mileage settlement formula is unknown, therefore, the energy consumption reference coefficient can be obtained by direct substitution and solving, and the average value of the energy consumption reference coefficient is calculated to obtain the energy consumption coefficient, the energy consumption coefficient is 1.20 in the embodiment, and after all the cost coefficients are calculated, the transportation mileage settlement formula can be perfected.

[0097] The transportation mileage settlement module is used for settling the transportation mileage of the vehicle based on the actual driving data and the load data of the vehicle, and combining the cost coefficient; the transportation mileage settlement module includes a cost error analysis unit and a transportation mileage settlement unit;

[0098] The cost error analysis unit is used for analyzing the error level between the settlement fee calculated by the transportation mileage settlement formula and the industry data;

[0099] The cost error analysis unit is configured with a cost error analysis strategy, and the cost error analysis strategy includes:

[0100] Each industry data and the corresponding cost coefficient are substituted into the transportation mileage settlement formula to calculate the settlement fee, which is named as the estimated fee, and the original settlement fee of the industry data is named as the actual fee;

[0101] The estimated fee is marked as Q1, and the actual fee is marked as Q2, Q2 / Q1 is calculated to obtain the error level;

[0102] In practical applications, in industry data, if the vehicle does not enable the cold chain, the EC is set to 0, and if the cold chain is enabled, the EC is set to the energy consumption coefficient 1.20 calculated as described above. For example, in some industry data, the driving mileage MG = 500 km, the mountain road proportion PMR = 20%, the conventional road proportion PCR = 70%, the unpaved road proportion PUR = 10%, the load is 20 t, the cold chain is not enabled, and the settlement fee is 6000 yuan. Since the cold chain is not enabled, the EC defaults to 1, and the load is 20 t, the breaking weight coefficient WF = 1.2909 is substituted into the solution, and all data except the settlement fee are substituted into the solution. The final solution of the estimated fee Q1 is 5876.18 yuan, and the calculation result is rounded to two decimal places. The actual fee Q2 of this industry data is 6000, and the calculation error level is 1.02, and the calculation result is rounded to two decimal places. Q1 is the industry average level, and the remuneration given to the freight driver is moderate. When the error level is 1, it means that the remuneration given to the freight driver by the entrustor is at the industry average level. If the error level is greater than 1, it means that the remuneration given to the freight driver by the entrustor is at a higher level in the industry, and vice versa.

[0103] The transportation mileage settlement unit is used to calculate the settlement fee of the vehicle, and an error level is introduced to adjust the settlement fee again;

[0104] The transportation mileage settlement unit is configured with a transportation mileage settlement strategy, and the transportation mileage settlement strategy includes:

[0105] The error level is set by the manager and named as the error special level;

[0106] The actual driving data and load data of the vehicle are obtained, and the transportation mileage settlement formula is used to calculate the settlement fee, which is named as the initial fee. The initial fee is multiplied by the error special level to obtain the final fee;

[0107] After the vehicle completes the transportation, the final fee is automatically paid to the driver;

[0108] In actual application, the freight paid by the entruster can be quickly adjusted through the error level, the rates of each part of the settlement fee are in a reasonable range, the driving data is usually determined before the start of the freight, if the driving data is monitored in real time, the freight driver can increase the settlement fee by detouring and the like, therefore, the driving route is determined by navigation before the start of the freight, if the driving route is changed, the change can be negotiated with the entruster, otherwise, the driving data is determined according to the original driving route and the settlement fee is calculated, in the embodiment, only the influence of the load on the settlement fee is listed, i.e. charging by weight, in fact, there is also a charging by volume in the freight industry, but the analysis process is the same as that of charging by weight, the embodiment does not specifically describe it, only the data related to the load in the embodiment is replaced by volume, and the volume here is the proportion of the space occupied by the goods in the vehicle compartment, not the specific volume size, the weight coefficient is also replaced by the volume coefficient, it should be noted that the present application can adapt to the freight settlement in any situation, although the calculation process of charging by volume is not described, it can be easily derived from the calculation process of charging by weight.

[0109] Those skilled in the art will appreciate that embodiments of the application can be supplied as a method, a system, or a computer program product. Thus, the application can be embodied in a completely hardware embodiment, a completely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the application can be embodied in the form of a computer program product embodied on one or more computer-usable storage media having computer-usable program code embodied thereon. The storage media can be any available storage media that is capable of storing computer-usable program code, such as a static random access memory (SRAM), an electrically erasable programmable read-only memory (EEPROM), an erasable programmable read-only memory (EPROM), a programmable read-only memory (PROM), a read-only memory (ROM), a magnetic storage, a flash memory, a magnetic disk or a compact disk. These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including instruction devices, which realize the functions specified in the flowchart Figure 1 one or more flows and / or blocks Figure 1 one or more flows and / or blocks

[0110] In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other manners. The embodiments described above are merely exemplary, for example, the division of the units is only a logical function division, and there can be another division manner in actual implementation; for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections between different units, or the among different units, can be indirect couplings or communication connections through some interfaces, communication interfaces, or a combination of the two, which can be electric, mechanical, or in other forms.

Claims

1. A vehicle transportation mileage settlement system based on the Internet of Vehicles, characterized in that, It includes a driving data recording module, an industry data grouping module, a cost coefficient calculation module, and a transportation mileage settlement module; the driving data recording module, the industry data grouping module, and the transportation mileage settlement module are respectively connected to the cost coefficient calculation module. The driving data recording module is used to record the vehicle's driving data and cargo data; The industry data grouping module is used to group driving data, cargo data and final settlement fees within the same industry to obtain freight data groups; The cost factor calculation module is used to calculate cost factors for different roads, loads, and special functions based on the freight data set. The transportation mileage settlement module is used to settle the cost of the vehicle's transportation mileage based on the vehicle's actual driving data and cargo data, combined with the cost coefficient. The cost coefficient calculation module includes a road coefficient calculation unit, a weight coefficient calculation unit, and an energy consumption coefficient calculation unit. The weight factor calculation unit is used to calculate the weight factor that affects the settlement cost; The road coefficient calculation unit is used to calculate the road coefficients that affect the settlement cost for different road compositions. The energy consumption coefficient calculation unit is used to calculate the energy consumption coefficient that affects the settlement cost of special functions. The weight coefficient calculation unit is configured with a weight coefficient calculation strategy, which includes: Find industry data where the proportion of conventional roads in groups with no additional energy consumption is 100%, and name it Weight Reference Data; The mileage and settlement cost in the weight reference data are labeled as WM and WSF, respectively. The cost required for the vehicle to travel one kilometer of regular road in the weight reference data is calculated by WSF / WM, and named as the unit price of travel. The load capacity of the weight reference data is numbered using the symbol WL. n It is indicated that WL n The corresponding unit price for driving is marked as WLP. n ; Search WLP n The minimum value in the range is labeled WLP. Min Calculate WLP n / WLP Min The calculation result is named the weight reference factor, using the symbol WRF. n express; A two-dimensional coordinate system is established with load as the X-axis and weight reference factor as the Y-axis, named the weight factor distribution map. The WRF (Weight Reference Factor) is then used. n According to WL n Enter the weight coefficient distribution chart; By fitting a function to the weight coefficient distribution map, the weight coefficient distribution function can be obtained. Substituting the load into the weight coefficient distribution function, the weight coefficient for different loads can be solved.

2. The vehicle transportation mileage settlement system based on the Internet of Vehicles as described in claim 1, characterized in that, The driving data recording module is configured with a driving data recording strategy, which includes: The vehicle's driving data is recorded, including road composition and mileage. The road composition includes the percentage of mountain roads, regular roads and unpaved roads during the driving process, which are respectively named mountain road percentage, regular road percentage and unpaved road percentage. The vehicle's cargo data is recorded, including load and energy consumption for special functions.

3. The vehicle transportation mileage settlement system based on the Internet of Vehicles as described in claim 1, characterized in that, The industry data grouping module is configured with an industry data grouping strategy, which includes: Name a single driving data point, along with its corresponding cargo data and settlement fee, as industry data. First, group the industry data with zero energy consumption for special functions into one group and name it the "No Additional Energy Consumption Group". Then, group the remaining industry data into another group and name it the "Additional Energy Consumption Group".

4. The vehicle transportation mileage settlement system based on the Internet of Vehicles as described in claim 3, characterized in that, The road coefficient calculation unit is configured with a road coefficient calculation strategy, which includes: The road coefficients for mountain roads, conventional roads, and unpaved roads are named the mountain road coefficient, conventional road coefficient, and unpaved road coefficient, respectively, with the conventional road coefficient fixed at 1. Find industry data in the "no additional energy consumption" group where the proportion of mountain roads and regular roads is not zero and the proportion of unpaved roads is zero, and name it "mountain road reference data"; find industry data in the "no additional energy consumption" group where the proportion of unpaved roads and regular roads is not zero and the proportion of mountain roads is zero, and name it "unpaved road reference data". The load, mileage, and settlement cost in the mountain road reference data are labeled as ML, MM, and MSF, respectively, while the proportion of mountain roads and the proportion of regular roads are labeled as MMP and MRP, respectively; the load, mileage, and settlement cost in the unpaved road reference data are labeled as NL, NM, and NSF, respectively, while the proportion of unpaved roads and the proportion of regular roads are labeled as NMP and NRP, respectively. There is a formula for calculating settlement costs based on transportation mileage; For any mountain road reference data, substitute ML into the weight coefficient distribution function to solve for the weight coefficient, denoted as wf. Assuming the mountain road coefficient is a, substitute PMR=MMP, MRC=a, PCR=MRP, PUR=0, EC=1, MG=MM, WF=wf, and SF=MSF into the transportation mileage calculation formula. At this time, PUR=0. Solve for a to obtain the mountain road reference coefficient of the mountain road reference data. Calculate the mountain road reference coefficient for each mountain road reference data. For any unpaved reference data, substitute NL into the weight coefficient distribution function to solve for the weight coefficient, denoted as wf. Assuming the unpaved coefficient is b, substitute PUR=NMP, CUR=b, PCR=NRP, PMR=0, EC=1, MG=NM, WF=wf, and SF=NSF into the transport mileage settlement formula. At this time, PMR=0. Solve for b to obtain the unpaved reference coefficient of the unpaved reference data. Calculate the unpaved reference coefficient for each unpaved reference data. Calculate the average value of the mountain road reference coefficient to obtain the mountain road coefficient, and calculate the average value of the unpaved reference coefficient to obtain the unpaved coefficient.

5. The vehicle transportation mileage settlement system based on the Internet of Vehicles as described in claim 4, characterized in that, The energy consumption coefficient calculation unit is configured with an energy consumption coefficient calculation strategy, which includes: The industry data in the group with additional energy consumption is named energy consumption data. For any energy consumption data, the load is substituted into the weight coefficient distribution function to solve for the weight coefficient. Then, the weight coefficient, driving mileage, mountain road ratio, mountain road coefficient, regular road ratio, unpaved road ratio, unpaved coefficient, and settlement cost are substituted into the transportation mileage settlement formula to calculate EC and name it as energy consumption reference coefficient. Calculate the energy consumption reference coefficient for each data point, calculate the average value of the energy consumption reference coefficients, and obtain the energy consumption coefficient. The weight coefficient, road coefficient, and energy consumption coefficient are the cost coefficients.

6. The vehicle transportation mileage settlement system based on the Internet of Vehicles as described in claim 5, characterized in that, The transportation mileage settlement module includes a cost error analysis unit and a transportation mileage settlement unit. The cost error analysis unit is used to analyze the error level between the settlement cost calculated by the transportation mileage settlement formula and industry data. The transportation mileage settlement unit is used to calculate the settlement cost of the vehicle, and at the same time, an error level is introduced to make a secondary adjustment to the settlement cost.

7. The vehicle transportation mileage settlement system based on the Internet of Vehicles as described in claim 6, characterized in that, The cost error analysis unit is configured with a cost error analysis strategy, which includes: Substitute each piece of industry data and its corresponding cost coefficient into the transportation mileage settlement formula to calculate the settlement cost, which is named the estimated cost. The original settlement cost of the industry data is named the actual cost. Label the estimated cost as Q1 and the actual cost as Q2. Calculate Q2 / Q1 to obtain the error level.

8. The vehicle transportation mileage settlement system based on the Internet of Vehicles as described in claim 7, characterized in that, The transportation mileage settlement unit is configured with a transportation mileage settlement strategy, which includes: The error level is set by the management personnel and named the "error-specific level". Obtain the vehicle's actual driving data and cargo data, substitute them into the transportation mileage settlement formula to calculate the settlement cost, name it the initial cost, and multiply the initial cost by the error-specific level to obtain the final cost; Once the vehicle has completed its transport, the final payment will be automatically made to the driver.

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