Fleet fuel consumption tracking method, device, electronic device and storage medium

Abstract

The present invention provides a method, device, electronic device and storage medium for tracking the fuel consumption of a fleet, the method comprising: obtaining a single trip corresponding to each vehicle in the fleet at the time when ACC is turned on, and connecting the single trips in series to obtain the trip route of each vehicle; from the trip routes of each vehicle in the fleet, screening the trip routes that exist before and after the implementation of the vehicle operation plan, and eliminating the abnormal routes in the trip routes that exist before and after the implementation of the vehicle operation plan to obtain the same route; comparing the trip routes before the implementation of the vehicle operation plan in the same route with the trip routes after the implementation of the vehicle operation plan for similarity to determine the same route; determining the average fuel consumption comparison results of the vehicles before and after the implementation of the vehicle operation plan under the same route. The present invention can solve the technical problem that the accuracy of the results of the effectiveness demonstration of automobile energy conservation and emission reduction cannot be guaranteed under the premise of consuming less computing power.

Description

Technical Field

[0001] The present invention relates to the field of automobile technology, and in particular to a method, device, electronic equipment and storage medium for tracking fuel consumption of a fleet. Background Art

[0002] With increasingly stringent requirements on automobile emissions and fierce market competition, automobile manufacturers regard energy conservation and emission reduction as an important means to enhance product competitiveness. The research and development of technologies to reduce fuel consumption is becoming more and more urgent. The effectiveness of fuel-saving measures needs to be fully verified. Many measures with smaller benefits need to be compared under the same conditions to eliminate the interference of objective factors in order to obtain correct conclusions.

[0003] Currently, we can only compare the daily or weekly fuel consumption changes before and after the implementation of the scheme through the vehicle network, which cannot eliminate the influence of important factors such as route and load, and it is easy to get wrong conclusions; although the method of finding the same route through GPS track comparison has high accuracy, it requires a lot of computing power and has low efficiency. In summary, the shortcomings of the existing technology for the demonstration of the effectiveness of automobile energy conservation and emission reduction are: it is impossible to ensure the accuracy of the results of the demonstration of the effectiveness of automobile energy conservation and emission reduction while consuming less computing power. Summary of the invention

[0004] In view of this, it is necessary to provide a fleet fuel consumption tracking method, device, electronic device and storage medium to solve the technical problem in the prior art regarding the effectiveness demonstration of automobile energy conservation and emission reduction, that is, it is impossible to ensure the accuracy of the results of the effectiveness demonstration of automobile energy conservation and emission reduction under the premise of consuming less computing power.

[0005] In order to achieve the above object, the present invention provides a method for tracking fuel consumption of a fleet, comprising:

[0006] Get the single trip corresponding to each vehicle in the fleet when ACC is turned on, connect all the single trips of each vehicle in the fleet in series, and get the trip route of each vehicle;

[0007] From the travel routes of each vehicle in the fleet, the travel routes that exist before and after the implementation of the vehicle operation plan are screened, and the abnormal routes among the travel routes that exist before and after the implementation of the vehicle operation plan are eliminated to obtain similar routes; the abnormal routes are the travel routes corresponding to which the difference between the mileage of a single travel route and the median mileage of the travel routes that exist before and after the implementation of the vehicle operation plan is greater than the preset mileage threshold;

[0008] Compare the similarity of the travel routes before the implementation of the vehicle operation plan and the travel routes after the implementation of the vehicle operation plan in the same route to determine the same routes;

[0009] Determine the comparison results of the average fuel consumption of vehicles before and after the implementation of the vehicle operation plan on the same route.

[0010] Furthermore, the process of connecting all the individual trips of each vehicle in the fleet in series to obtain the trip route of each vehicle includes:

[0011] Based on the target rectangle, the city and county names corresponding to all individual trips of each vehicle in the fleet are connected in series to obtain the trip route of each vehicle;

[0012] The target rectangle is the smallest rectangle that contains all individual trips of each vehicle.

[0013] Furthermore, based on the target rectangle, the names of cities and counties corresponding to all the individual trips of each vehicle in the fleet are connected in series to obtain the trip route of each vehicle, including:

[0014] Arrange the names of cities and counties corresponding to all individual trips in the target rectangle in order according to the index size;

[0015] The city and county names that are arranged in sequence are removed from duplicates and then connected to obtain the travel route of each vehicle.

[0016] Furthermore, the similarity comparison of the travel routes before the implementation of the vehicle operation plan and the travel routes after the implementation of the vehicle operation plan in the same route to determine the same routes includes:

[0017] From the travel routes before the vehicle operation plan is implemented and the travel routes after the vehicle operation plan is implemented in the same type of routes, one travel route is selected as a reference curve and the other travel route is selected as a comparison curve;

[0018] A reference range is determined based on the reference curve and a preset offset, and a same route is determined based on the length of the comparison curve in the reference range.

[0019] Further, the determining of the reference range based on the reference curve and the preset offset includes:

[0020] An upper offset and a lower offset are added to each point of the reference curve to obtain a reference range; wherein the absolute values ​​of the upper offset and the lower offset are equal.

[0021] Further, the determining the same route based on the length of the comparison curve in the reference range includes:

[0022] Determining the degree of overlap between the comparison curve and the reference curve based on the length of the comparison curve in the reference range;

[0023] The travel routes before and after the implementation of the vehicle operation plan corresponding to the overlap greater than the preset overlap threshold are determined as the same route.

[0024] Further, the determining the degree of overlap between the comparison curve and the reference curve based on the length of the comparison curve in the reference range includes:

[0025] The length of the comparison curve in the reference range is divided by the total length of the reference curve to obtain the degree of overlap between the comparison curve and the reference curve.

[0026] The present invention also provides a vehicle fleet fuel consumption tracking device, comprising:

[0027] The trip route determination module is used to obtain the single trip corresponding to each vehicle in the fleet at the time when ACC is turned on, and connect all the single trips of each vehicle in the fleet in series to obtain the trip route of each vehicle;

[0028] A similar route determination module is used to screen the travel routes that exist both before and after the implementation of the vehicle operation plan from the travel routes of each vehicle in the fleet, and eliminate the abnormal routes in the travel routes that exist both before and after the implementation of the vehicle operation plan to obtain similar routes; the abnormal route is a travel route corresponding to a mileage difference between a single travel route and the median mileage of the travel routes that exist both before and after the implementation of the vehicle operation plan that is greater than a preset mileage threshold;

[0029] A same route determination module is used to compare the travel routes of the same type of routes before the implementation of the vehicle operation plan with the travel routes after the implementation of the vehicle operation plan to determine the same routes;

[0030] The fuel consumption result determination module is used to determine the average fuel consumption comparison results of vehicles before and after the implementation of the vehicle operation plan on the same route.

[0031] The present invention also provides an electronic device, comprising a memory and a processor, wherein:

[0032] The memory is used to store programs;

[0033] The processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps in the vehicle fleet fuel consumption tracking method as described in any one of the above.

[0034] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the vehicle fleet fuel consumption tracking method as described in any one of the above items is implemented.

[0035] The beneficial effects of adopting the above implementation mode are as follows: the fleet fuel consumption tracking method, device, electronic device and storage medium provided by the present invention obtain the single trip corresponding to each vehicle in the fleet at the time when ACC is turned on, and connect all the single trips of each vehicle in the fleet in series to obtain the trip route of each vehicle; from the trip route of each vehicle in the fleet, the trip routes that exist before and after the implementation of the vehicle operation plan are screened, so as to compare the fuel consumption before and after the implementation of the plan under the same route, and eliminate the abnormal routes in the trip routes that exist before and after the implementation of the vehicle operation plan to obtain the same route, so as to reduce the comparison error and ensure the accuracy of the conclusion; the trip routes of the vehicles before the implementation of the operation plan in the same route are compared with the trip routes after the implementation of the vehicle operation plan to obtain the same route; and the comparison results of the average fuel consumption of the vehicles before and after the implementation of the vehicle operation plan under the same route are determined.

[0036] The present invention processes in series the single trip corresponding to the vehicle at the time when ACC is turned on, and determines the trip routes that exist before and after the implementation of the plan in the same route. This process does not require the use of GPS track comparison to find the same route, which reduces the consumption of computing power and improves efficiency. Moreover, the present invention directly compares the average fuel consumption of the vehicles before and after the implementation of the vehicle operation plan under the same route, and does not compare the daily or weekly fuel consumption changes before and after the implementation of the plan through the Internet of Vehicles. Therefore, the conclusions obtained by the present invention are more accurate. In addition, after obtaining the trip routes of each vehicle in the fleet, the present invention classifies the routes to obtain the same routes, and then compares the similarities to determine the same routes, which can meet the requirements of comparative analysis of different routes of multiple vehicles.

[0037] Therefore, the present invention solves the technical problem in the prior art regarding the effectiveness demonstration of automobile energy conservation and emission reduction, that is, it is impossible to ensure the accuracy of the results of the effectiveness demonstration of automobile energy conservation and emission reduction under the premise of consuming less computing power. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0039] Figure 1 A flow chart of an embodiment of a method for tracking fuel consumption of a fleet provided by the present invention;

[0040] Figure 2 A schematic diagram of all the travel routes of the vehicle provided by the present invention;

[0041] Figure 3 A schematic diagram of trajectory overlap calculation provided by the present invention;

[0042] Figure 4 A functional block diagram of an embodiment of a vehicle fleet fuel consumption tracking device provided by the present invention;

[0043] Figure 5 A schematic structural diagram of an embodiment of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0044] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0045] In the description of the embodiments of the present application, unless otherwise specified, “plurality” means two or more.

[0046] The terms "including" and "having" and any variations thereof in the embodiments of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product or equipment comprising a series of steps or modules is not necessarily limited to those steps or modules clearly listed, but may include other steps or modules not clearly listed or inherent to these processes, methods, products or equipment.

[0047] The naming or numbering of the steps in the embodiments of the present invention does not mean that the steps in the method flow must be executed in the time / logical sequence indicated by the naming or numbering. The execution order of the named or numbered process steps can be changed according to the technical purpose to be achieved, as long as the same or similar technical effects can be achieved.

[0048] Reference to an "embodiment" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiment may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0049] The present invention provides a method, device, electronic device and storage medium for tracking fuel consumption of a vehicle fleet, which are described below respectively.

[0050] like Figure 1 As shown, the present invention provides a method for tracking fuel consumption of a fleet, comprising:

[0051] Step 110: Obtain a single trip corresponding to each vehicle in the fleet at the time when ACC is turned on, and connect all the single trips of each vehicle in the fleet in series to obtain the trip route of each vehicle;

[0052] Step 120: from the travel routes of each vehicle in the fleet, the travel routes existing both before and after the implementation of the vehicle operation plan are screened, and the abnormal routes among the travel routes existing both before and after the implementation of the vehicle operation plan are eliminated to obtain similar routes; the abnormal routes are the travel routes corresponding to which the difference between the mileage of a single travel route and the median mileage of the travel routes existing both before and after the implementation of the vehicle operation plan is greater than the preset mileage threshold;

[0053] Step 130, comparing the similarity of the travel routes before the vehicle operation plan is implemented with the travel routes after the vehicle operation plan is implemented in the same route, and determining the same routes;

[0054] Step 140: Determine the comparison result of the average fuel consumption of the vehicles before and after the implementation of the vehicle operation plan on the same route.

[0055] It can be understood that the purpose of the present invention is to use the Internet of Vehicles data to divide the operating data of all vehicles in the fleet for a period of time before and after the implementation of the vehicle operation plan according to the parking points, obtain multiple trips, calculate the fuel consumption, mileage, average speed, idle rate and route information of a single trip, classify them according to the same route, and compare them before and after the implementation of the plan within the same route and the same speed range.

[0056] It should be noted that there will be differences in the corresponding operating states of the vehicles before and after the implementation of the vehicle operation plan. For example, the loads of the vehicles before and after the implementation of the vehicle operation plan are different.

[0057] First, the ACC (Adaptive Cruise Control) activation time of a vehicle is identified, and the trips are divided according to the ACC activation time. The fuel consumption, mileage, average speed, idle ratio, route and other characteristics of a single trip are calculated. The route is calculated according to the minimum rectangle that contains all the single trips of each vehicle, and the corresponding positions are calculated and the trip route strings are serialized in sequence.

[0058] The driving on the same route is classified, and the mileage outliers are eliminated in each category. The route similarity is compared within the same category, and the dissimilar trips in the same category are eliminated. Then the fuel consumption of the trips before and after the improvement on the same route is compared.

[0059] In some embodiments, the step of concatenating all individual trips of each vehicle in the fleet to obtain the trip route of each vehicle includes:

[0060] Based on the target rectangle, the city and county names corresponding to all individual trips of each vehicle in the fleet are connected in series to obtain the trip route of each vehicle;

[0061] The target rectangle is the smallest rectangle that contains all individual trips of each vehicle.

[0062] It can be understood that the vehicle data is retrieved from the cloud server according to the vehicle chassis number list corresponding to the fleet and the time period before and after the implementation of the vehicle operation plan, and the retrieved vehicle data is divided into each vehicle's trip in turn, and the ACC is marked as 1 when it is ON, and 0 when it is OFF. Mark 1 is used as the dividing point to cut the trip data of each vehicle, that is, a single trip of each vehicle, and the continuous segment of 1 is taken as the target trip.

[0063] It should be noted that if Figure 2 As shown, the four sides of the target rectangle correspond to the maximum longitude, minimum longitude, maximum latitude and minimum latitude in all individual trips of each vehicle. If only the starting point and end point of the vehicle's trip are relied upon, the actual driving distance of the vehicle cannot be determined. It is necessary to determine the actual travel route of each vehicle by combining the maximum longitude, minimum longitude, maximum latitude and minimum latitude in all individual trips of each vehicle.

[0064] In some embodiments, based on the target rectangle, the city and county names corresponding to all the individual trips of each vehicle in the fleet are connected in series to obtain the trip route of each vehicle, including:

[0065] Arrange the names of cities and counties corresponding to all individual trips in the target rectangle in order according to the index size;

[0066] The city and county names that are arranged in sequence are removed from duplicates and then connected to obtain the travel route of each vehicle.

[0067] It is understandable that in this embodiment, the offline map data can be used to query the city / county names corresponding to the starting point, end point, maximum longitude, minimum longitude, maximum latitude, and minimum latitude of the target trip.

[0068] Arrange in order according to the index size, and connect with the character "-" after removing duplicates, such as Qingdao City-Rizhao City-Weifang City. This algorithm avoids errors caused by the overlap of the starting point and the end point; calculate all the travel routes of each vehicle in turn.

[0069] The number of different routes corresponding to the itineraries before and after the implementation of the vehicle operation plan was counted to determine whether there were the same routes before and after the implementation of the plan. As shown in Table 1, the Qingdao-Weifang route existed before and after the implementation of the plan. The itineraries corresponding to the Qingdao-Weifang route were selected, and other itineraries were eliminated.

[0070] Table 1 Changes in itinerary before and after the implementation of the plan

[0071] route Number of trips after implementation of the plan Number of trips before implementation of the plan Binzhou City - Qingdao City 1 Dongying City-Binzhou City 2 Dongying City - Qingdao City 1 Dongying City - Rizhao City 1 Dongying City - Weifang City 2 Dongying-Weifang-Qingdao 1 Dongying-Weifang-Yantai 2 Hefei-Lu'an 1 Lianyungang City - Dongying City 1 Lianyungang City - Rizhao City 2 Lianyungang City - Weifang City 1 Lu'an City - Lianyungang City 1 Nantong City - Taizhou City 1 Qingdao-Weifang 3 1 Qingdao-Yantai 1

[0072] Calculate the fuel consumption per 100 kilometers, mileage, average vehicle speed, idle ratio and other information of the selected single trips, eliminate the trips whose mileage differs by 10% from the median mileage of the trips on the same route, i.e. remove duplicates, and output the trip start time, end time, fuel consumption per 100 kilometers, mileage, average vehicle speed, idle ratio and record them in the table.

[0073] In some embodiments, comparing the similarity of the travel routes before the implementation of the vehicle operation plan with the travel routes after the implementation of the vehicle operation plan in the same route to determine the same route includes:

[0074] From the travel routes before the vehicle operation plan is implemented and the travel routes after the vehicle operation plan is implemented in the same type of routes, one travel route is selected as a reference curve and the other travel route is selected as a comparison curve;

[0075] A reference range is determined based on the reference curve and a preset offset, and a same route is determined based on the length of the comparison curve in the reference range.

[0076] It can be understood that the routes that exist before and after the implementation of the screened vehicle operation plan are extracted according to the start time and end time, and the longitude and latitude data of the trajectories are divided into two groups before and after the implementation of the plan, and each trajectory in the two groups is selected in turn for similarity comparison.

[0077] Specifically, when performing similarity comparison, one of the routes that exist before and after the implementation of the vehicle operation plan can be used as the reference curve and the other as the comparison curve. Considering that even the same routes may not completely overlap in practice, an offset is introduced to convert the reference curve into a reference range.

[0078] In some embodiments, determining the reference range based on the reference curve and a preset offset includes:

[0079] An upper offset and a lower offset are added to each point of the reference curve to obtain a reference range; wherein the absolute values ​​of the upper offset and the lower offset are equal.

[0080] It can be understood that, from the travel routes before and after the implementation of the vehicle operation plan, one of the trajectories is selected as the reference curve f(x, y), and the longitude and latitude offsets dx and dy are set respectively, and the absolute values ​​of dx and dy are equal.

[0081] An upper limit curve f(x+dx, y+dy) and a lower limit curve f(x-dx, y-dy) are generated according to the offset.

[0082] In some embodiments, determining the same route based on the length of the comparison curve in the reference range includes:

[0083] Determining the degree of overlap between the comparison curve and the reference curve based on the length of the comparison curve in the reference range;

[0084] The travel routes before and after the implementation of the vehicle operation plan corresponding to the overlap greater than the preset overlap threshold are determined as the same route.

[0085] It can be understood that the travel routes before and after the implementation of the vehicle operation plan are compared in pairs to determine the overlap, as shown in Table 2. The overlap exceeding 80% is recorded as O, and the overlap less than 80% is recorded as X. According to the principle of retaining as many trajectories as possible in the two groups, the trajectories with an overlap of less than 80% with any trajectory in the other groups are eliminated to ensure that the remaining trajectory data is the largest. The trajectory curves f3, f4, g1, g3, and g4 are retained as follows.

[0086] Table 2 Comparison of itinerary routes

[0087] g1 g2 g3 g4 …… f1 o x x x f2 o x o x f3 o o o o f4 o x o o ……

[0088] Compare the difference in average fuel consumption per 100 kilometers before and after the improvement of the remaining trajectory trips of the two groups according to different routes. If there is improvement, the difference will be a negative number, and if there is deterioration, a positive number. Calculate the average value of all routes and output the results.

[0089] In some embodiments, determining the degree of overlap between the comparison curve and the reference curve based on the length of the comparison curve in the reference range includes:

[0090] The length of the comparison curve in the reference range is divided by the total length of the reference curve to obtain the degree of overlap between the comparison curve and the reference curve.

[0091] It is understandable that if Figure 3 As shown, from the travel routes before and after the implementation of the vehicle operation plan, one trajectory is selected as the reference curve f(x, y), and the longitude and latitude offsets dx and dy are set respectively, and the absolute values ​​of dx and dy are equal.

[0092] Generate an upper limit curve f(x+dx, y+dy) and a lower limit curve f(x-dx, y-dy) according to the offset;

[0093] Calculate the length L of another trajectory, i.e., the curve g(x, y), between the upper limit curve f(x+dx, y+dy) and the lower limit curve f(x-dx, y-dy). The total length of the reference curve is S, and the overlap degree of the two curves Ze=L / S.

[0094] In summary, the present invention provides a method for tracking fuel consumption of a fleet, including: obtaining a single trip corresponding to each vehicle in the fleet at the time when ACC is turned on, connecting all the single trips of each vehicle in the fleet in series to obtain the trip route of each vehicle; from the trip routes of each vehicle in the fleet, screening the trip routes that exist before and after the implementation of the vehicle operation plan, and eliminating the abnormal routes in the trip routes that exist before and after the implementation of the vehicle operation plan to obtain similar routes; the abnormal route is a trip route corresponding to a mileage of a single trip route and a mileage median of the trip routes that exist before and after the implementation of the vehicle operation plan that differs by more than a preset mileage threshold; comparing the trip routes before the implementation of the vehicle operation plan in the same route with the trip routes after the implementation of the vehicle operation plan for similarity to determine the same route; and determining the comparison result of the average fuel consumption of vehicles before and after the implementation of the vehicle operation plan under the same route.

[0095] The fleet fuel consumption tracking method provided by the present invention obtains a single trip corresponding to each vehicle in the fleet at the ACC activation time, connects all the single trips of each vehicle in the fleet in series, and obtains the trip route of each vehicle; from the trip route of each vehicle in the fleet, screens the trip routes that exist before and after the implementation of the vehicle operation plan, so as to compare the fuel consumption before and after the implementation of the plan under the same route, and eliminates the abnormal routes in the trip routes that exist before and after the implementation of the vehicle operation plan to obtain the same route, so as to reduce the comparison error and ensure the accuracy of the conclusion; compares the trip routes of the vehicles in the same route before the implementation of the operation plan with the trip routes after the implementation of the operation plan to obtain the same route; and determines the comparison result of the average fuel consumption of the vehicles before and after the implementation of the vehicle operation plan under the same route.

[0096] The present invention determines the itinerary routes that exist before and after the implementation of the plan in the same route by serially processing the single trip corresponding to the vehicle when the ACC is turned on. This process does not require the use of GPS (Global Positioning System) track comparison to find the same route, which reduces the consumption of computing power and improves efficiency. Moreover, the present invention directly compares the average fuel consumption of the vehicles before and after the implementation of the vehicle operation plan under the same route, and does not compare the daily or weekly fuel consumption changes before and after the implementation of the plan through the Internet of Vehicles. Therefore, the conclusions obtained by the present invention are more accurate. In addition, after obtaining the itinerary routes of each vehicle in the fleet, the present invention classifies the routes to obtain similar routes, and then compares the similarities to determine the same routes, which can meet the requirements of comparative analysis of different routes of multiple vehicles.

[0097] Therefore, the present invention solves the technical problem in the prior art regarding the effectiveness demonstration of automobile energy conservation and emission reduction, that is, it is impossible to ensure the accuracy of the results of the effectiveness demonstration of automobile energy conservation and emission reduction under the premise of consuming less computing power.

[0098] Furthermore, the present invention utilizes Internet of Vehicles data to segment the operational data of all vehicle plans of the fleet for a period of time before and after the implementation of the vehicle operation plan according to parking points, calculates the fuel consumption, mileage, average speed, idle rate, route and other information of a single trip, classifies them according to the same route, and compares the data before and after the implementation of the plan within the same route and the same speed range.

[0099] First, identify the ACC on time for a vehicle, divide the trips according to the ACC on time, calculate the fuel consumption, mileage, average speed, idle ratio, route and other characteristics of a single trip, calculate the corresponding position of the route according to the farthest boundary and concatenate the trip route strings in sequence, classify the driving on the same route, remove mileage outliers in each category, compare the route similarity within the same category, remove dissimilar trips within the same category, and then compare the trip fuel consumption before and after the improvement on the same route. Figure 4 As shown, the present invention also provides a vehicle fleet fuel consumption tracking device, comprising:

[0100] The trip route determination module is used to obtain the single trip corresponding to each vehicle in the fleet at the time when ACC is turned on, and connect all the single trips of each vehicle in the fleet in series to obtain the trip route of each vehicle;

[0101] A similar route determination module is used to screen the travel routes that exist both before and after the implementation of the vehicle operation plan from the travel routes of each vehicle in the fleet, and eliminate the abnormal routes in the travel routes that exist both before and after the implementation of the vehicle operation plan to obtain similar routes; the abnormal route is a travel route corresponding to a mileage difference between a single travel route and the median mileage of the travel routes that exist both before and after the implementation of the vehicle operation plan that is greater than a preset mileage threshold;

[0102] A same route determination module is used to compare the travel routes of the same type of routes before the implementation of the vehicle operation plan with the travel routes after the implementation of the vehicle operation plan to determine the same routes;

[0103] The fuel consumption result determination module is used to determine the average fuel consumption comparison results of vehicles before and after the implementation of the vehicle operation plan on the same route.

[0104] The fleet fuel consumption tracking device provided by the present invention obtains the single trip corresponding to each vehicle in the fleet at the time when ACC is turned on, and connects all the single trips of each vehicle in the fleet in series to obtain the trip route of each vehicle; from the trip route of each vehicle in the fleet, the trip routes that exist before and after the implementation of the vehicle operation plan are screened, so as to compare the fuel consumption before and after the implementation of the plan under the same route, and eliminate the abnormal routes in the trip routes that exist before and after the implementation of the vehicle operation plan to obtain the same route, so as to reduce the comparison error and ensure the accuracy of the conclusion; the trip routes of the vehicles in the same route before the implementation of the operation plan are compared with the trip routes after the implementation of the vehicle operation plan for similarity to obtain the same route; and the comparison results of the average fuel consumption of the vehicles before and after the implementation of the vehicle operation plan under the same route are determined.

[0105] The present invention processes in series the single trip corresponding to the vehicle at the time when ACC is turned on, and determines the trip routes that exist before and after the implementation of the plan in the same route. This process does not require the use of GPS track comparison to find the same route, which reduces the consumption of computing power and improves efficiency. Moreover, the present invention directly compares the average fuel consumption of the vehicles before and after the implementation of the vehicle operation plan under the same route, and does not compare the daily or weekly fuel consumption changes before and after the implementation of the plan through the Internet of Vehicles. Therefore, the conclusions obtained by the present invention are more accurate. In addition, after obtaining the trip routes of each vehicle in the fleet, the present invention classifies the routes to obtain the same routes, and then compares the similarities to determine the same routes, which can meet the requirements of comparative analysis of different routes of multiple vehicles.

[0106] The fleet fuel consumption tracking device provided in the above embodiment can implement the technical solution described in the above fleet fuel consumption tracking method embodiment. The specific implementation principles of the above modules or units can refer to the corresponding contents in the above fleet fuel consumption tracking method embodiment, which will not be repeated here.

[0107] like Figure 5 As shown, the present invention also provides an electronic device 500. The electronic device 500 includes a processor 501, a memory 502 and a display 503. Figure 5 Only some of the components of the electronic device 500 are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0108] In some embodiments, the memory 502 may be an internal storage unit of the electronic device 500, such as a hard disk or memory of the electronic device 500. In other embodiments, the memory 502 may also be an external storage device of the electronic device 500, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 500.

[0109] Furthermore, the memory 502 may include both an internal storage unit of the electronic device 500 and an external storage device. The memory 502 is used to store application software installed in the electronic device 500 and various data.

[0110] In some embodiments, the processor 501 may be a central processing unit (CPU), a microprocessor or other data processing chip, used to run program codes or process data stored in the memory 502, such as the fleet fuel consumption tracking method of the present invention.

[0111] In some embodiments, the display 503 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 503 is used to display information on the electronic device 500 and to display a visual user interface. The components 501-503 of the electronic device 500 communicate with each other via a system bus.

[0112] In some embodiments of the present invention, when the processor 501 executes the fleet fuel consumption tracking program in the memory 502, the following steps may be implemented:

[0113] Get the single trip corresponding to each vehicle in the fleet when ACC is turned on, connect all the single trips of each vehicle in the fleet in series, and get the trip route of each vehicle;

[0114] From the travel routes of each vehicle in the fleet, the travel routes that exist before and after the implementation of the vehicle operation plan are screened, and the abnormal routes among the travel routes that exist before and after the implementation of the vehicle operation plan are eliminated to obtain similar routes; the abnormal routes are the travel routes corresponding to which the difference between the mileage of a single travel route and the median mileage of the travel routes that exist before and after the implementation of the vehicle operation plan is greater than the preset mileage threshold;

[0115] Compare the similarity of the travel routes before the implementation of the vehicle operation plan and the travel routes after the implementation of the vehicle operation plan in the same route to determine the same routes;

[0116] Determine the comparison results of the average fuel consumption of vehicles before and after the implementation of the vehicle operation plan on the same route.

[0117] It should be understood that: when the processor 501 executes the fleet fuel consumption tracking program in the memory 502, in addition to the above functions, other functions can also be implemented. For details, please refer to the description of the corresponding method embodiment above.

[0118] Furthermore, the embodiment of the present invention does not specifically limit the type of the electronic device 500 mentioned, and the electronic device 500 may be a portable electronic device such as a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop computer, etc. Exemplary embodiments of portable electronic devices include but are not limited to portable electronic devices equipped with IOS, Android, Microsoft or other operating systems. The above-mentioned portable electronic device may also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of the present invention, the electronic device 500 may not be a portable electronic device, but a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0119] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method for tracking the fuel consumption of a fleet provided by the above methods is implemented, and the method includes:

[0120] Get the single trip corresponding to each vehicle in the fleet when ACC is turned on, connect all the single trips of each vehicle in the fleet in series, and get the trip route of each vehicle;

[0121] From the travel routes of each vehicle in the fleet, the travel routes that exist before and after the implementation of the vehicle operation plan are screened, and the abnormal routes among the travel routes that exist before and after the implementation of the vehicle operation plan are eliminated to obtain similar routes; the abnormal routes are the travel routes corresponding to which the difference between the mileage of a single travel route and the median mileage of the travel routes that exist before and after the implementation of the vehicle operation plan is greater than the preset mileage threshold;

[0122] Compare the similarity of the travel routes before the implementation of the vehicle operation plan and the travel routes after the implementation of the vehicle operation plan in the same route to determine the same routes;

[0123] Determine the comparison results of the average fuel consumption of vehicles before and after the implementation of the vehicle operation plan on the same route.

[0124] Those skilled in the art will appreciate that all or part of the processes of the above-mentioned embodiments can be implemented by instructing related hardware through a computer program, and the program can be stored in a computer-readable storage medium, wherein the computer-readable storage medium is a disk, an optical disk, a read-only storage memory, or a random access memory, etc.

[0125] The above is a detailed introduction to the fleet fuel consumption tracking method, device, electronic device and storage medium provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for tracking fuel consumption of a fleet, characterized in that: include: Get the single trip corresponding to each vehicle in the fleet when ACC is turned on, connect all the single trips of each vehicle in the fleet in series, and get the trip route of each vehicle; From the travel routes of each vehicle in the fleet, the travel routes that exist before and after the implementation of the vehicle operation plan are screened, and the abnormal routes among the travel routes that exist before and after the implementation of the vehicle operation plan are eliminated to obtain similar routes; the abnormal routes are the travel routes corresponding to which the difference between the mileage of a single travel route and the median mileage of the travel routes that exist before and after the implementation of the vehicle operation plan is greater than the preset mileage threshold; Compare the similarity of the travel routes before the implementation of the vehicle operation plan and the travel routes after the implementation of the vehicle operation plan in the same route to determine the same routes; Determine the comparison results of the average fuel consumption of vehicles before and after the implementation of the vehicle operation plan on the same route.

2. The method for tracking fleet fuel consumption according to claim 1, characterized in that: The process of connecting all the individual trips of each vehicle in the fleet in series to obtain the trip route of each vehicle includes: Based on the target rectangle, the city and county names corresponding to all individual trips of each vehicle in the fleet are connected in series to obtain the trip route of each vehicle; The target rectangle is the smallest rectangle that contains all individual trips of each vehicle.

3. The method for tracking fuel consumption of a fleet according to claim 2, characterized in that: Based on the target rectangle, the city and county names corresponding to all the individual trips of each vehicle in the fleet are connected in series to obtain the trip route of each vehicle, including: Arrange the names of cities and counties corresponding to all individual trips in the target rectangle in order according to the index size; The city and county names that are arranged in sequence are removed from duplicates and then connected to obtain the travel route of each vehicle.

4. The method for tracking the fuel consumption of a fleet according to any one of claims 1 to 3, characterized in that: The process of comparing the travel routes before the vehicle operation plan is implemented with the travel routes after the vehicle operation plan is implemented in the same route to determine the same routes includes: From the travel routes before the vehicle operation plan is implemented and the travel routes after the vehicle operation plan is implemented in the same type of routes, one travel route is selected as a reference curve and the other travel route is selected as a comparison curve; A reference range is determined based on the reference curve and a preset offset, and a same route is determined based on the length of the comparison curve in the reference range.

5. The method for tracking vehicle fleet fuel consumption according to claim 4, characterized in that: The determining of the reference range based on the reference curve and the preset offset includes: An upper offset and a lower offset are added to each point of the reference curve to obtain a reference range; wherein the absolute values ​​of the upper offset and the lower offset are equal.

6. The method for tracking vehicle fleet fuel consumption according to claim 4, characterized in that: The determining the same route based on the length of the comparison curve in the reference range comprises: Determining the degree of overlap between the comparison curve and the reference curve based on the length of the comparison curve in the reference range; The travel routes before and after the implementation of the vehicle operation plan corresponding to the overlap greater than the preset overlap threshold are determined as the same route.

7. The method for tracking vehicle fleet fuel consumption according to claim 6, characterized in that: The determining the degree of overlap between the comparison curve and the reference curve based on the length of the comparison curve in the reference range includes: The length of the comparison curve in the reference range is divided by the total length of the reference curve to obtain the degree of overlap between the comparison curve and the reference curve.

8. A vehicle fleet fuel consumption tracking device, characterized in that: include: The trip route determination module is used to obtain the single trip corresponding to each vehicle in the fleet at the time when ACC is turned on, and connect all the single trips of each vehicle in the fleet in series to obtain the trip route of each vehicle; A similar route determination module is used to screen the travel routes that exist both before and after the implementation of the vehicle operation plan from the travel routes of each vehicle in the fleet, and eliminate the abnormal routes in the travel routes that exist both before and after the implementation of the vehicle operation plan to obtain similar routes; the abnormal route is a travel route corresponding to a mileage difference between a single travel route and the median mileage of the travel routes that exist both before and after the implementation of the vehicle operation plan that is greater than a preset mileage threshold; A same route determination module is used to compare the travel routes of the same type of routes before the implementation of the vehicle operation plan with the travel routes after the implementation of the vehicle operation plan to determine the same routes; The fuel consumption result determination module is used to determine the average fuel consumption comparison results of vehicles before and after the implementation of the vehicle operation plan on the same route.

9. An electronic device, characterized in that: comprising a memory and a processor, wherein: The memory is used to store programs; The processor is coupled to the memory, and is used to execute the program stored in the memory to implement the steps in the fleet fuel consumption tracking method as described in any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the vehicle fleet fuel consumption tracking method according to any one of claims 1 to 7 is implemented.

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