CN111241120A - Vehicle energy filling point analysis method and device, vehicle-mounted equipment and storage medium - Google Patents
Vehicle energy filling point analysis method and device, vehicle-mounted equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention provides a method and a device for analyzing a vehicle energy filling point, vehicle-mounted equipment and a storage medium. The analysis method of the vehicle energy filling point comprises the following steps: collecting a plurality of driving data of a vehicle in the driving process; determining an energy filling point of the vehicle in a preset time period according to the plurality of running data; matching the energy filling points with a preset energy station list to obtain a matching result; and analyzing whether the energy filling point of the vehicle is abnormal or not according to the matching result. The effect of providing the function of analyzing whether the vehicle energy filling point is abnormal or not is achieved.
Description
Technical Field
The embodiment of the invention relates to the technical field of vehicle analysis, in particular to a method and a device for analyzing a vehicle energy filling point, vehicle-mounted equipment and a storage medium.
Background
With the rapid development of data processing, how to analyze various states of the vehicle is also more and more important.
At present, when a failure occurs in an aftertreatment system of a vehicle, such as a commercial vehicle for logistics transportation, the failure of the aftertreatment system is analyzed.
However, in the actual use process of the vehicle, a large number of non-standard phenomena such as illegal energy source filling points, flowing energy source filling points and the like exist, so that unqualified energy sources are caused, for example, unqualified fuel oil is filled into a fuel oil vehicle, the normal operation of an after-treatment system is influenced, and the discharge system does not reach the standard, so that the speed of the vehicle is limited. At present, fuel vehicles can only measure and calculate the residual fuel quantity of a fuel tank, and have functions of gas station navigation and the like. Therefore, when the aftertreatment system of the fuel-powered vehicle breaks down, whether the aftertreatment system itself breaks down or the aftertreatment system breaks down due to the abnormal quality of refueling at the unqualified energy refueling point cannot be determined because whether the energy refueling point of the vehicle is abnormal or not is not analyzed.
Disclosure of Invention
The embodiment of the invention provides a method and a device for analyzing a vehicle energy filling point, vehicle-mounted equipment and a storage medium, so as to realize the function of analyzing whether the vehicle energy filling point is abnormal or not.
In a first aspect, an embodiment of the present invention provides a method for analyzing a vehicle energy filling point, including:
collecting a plurality of driving data of a vehicle in the driving process;
determining an energy filling point of the vehicle in a preset time period according to the plurality of running data;
matching the energy filling points with a preset energy station list to obtain a matching result;
and analyzing whether the energy filling point of the vehicle is abnormal or not according to the matching result.
Optionally, the determining, according to the plurality of pieces of driving data, an energy source filling point of the vehicle in a preset time period includes:
judging whether the oil tank liquid level change value corresponding to each acquisition time is greater than a change threshold value;
taking the acquisition time when the liquid level change value of the oil tank is greater than the change threshold value as target acquisition time;
and using the vehicle position information corresponding to the target acquisition time as an energy filling point of the preset time period.
Optionally, the determining, according to the plurality of pieces of driving data, an energy source filling point of the vehicle in a preset time period includes:
determining the variation trend of the engine speed or the vehicle speed corresponding to a plurality of acquisition times within the variation time;
judging whether the variation trend meets a preset trend or not;
taking the acquisition time of which the variation trend meets the preset trend as target acquisition time;
and using the vehicle position information corresponding to the target acquisition time as an energy filling point of the preset time period.
Optionally, the determining an energy charging point of the vehicle in a preset time period according to the plurality of driving data includes:
removing abnormal data in the plurality of driving data according to a preset noise point removing rule to obtain a first data set;
performing data frequency reduction on the first data set according to a preset frequency reduction rule to obtain a second data set;
and determining an energy filling point of the vehicle in a preset time period according to the second data set.
Optionally, the preset energy station list is obtained by converting a two-dimensional longitude and latitude code of a spatial database of the energy filling station into a one-dimensional byte code and then performing spatial range matching calculation, and the matching the energy filling point and the preset energy station list to obtain a matching result includes:
judging whether the preset energy station list comprises the energy filling points or not;
when the preset energy station list comprises the energy filling points, the matching result is successful;
and when the preset energy station list does not comprise the energy filling point, the matching result is matching failure.
Optionally, the analyzing whether the energy filling point of the vehicle is abnormal according to the matching result includes:
when the matching result is that the matching is successful, the energy filling point of the vehicle is a regular energy filling point or a suspected non-regular energy filling point;
and when the matching result is that the matching fails, the energy source filling point of the vehicle is an illegal energy source filling point.
Optionally, the method further includes:
and uploading the energy filling points corresponding to the matching failure to a monitoring device so that the monitoring device can mark the illegal energy filling points.
In a second aspect, an embodiment of the present invention provides an apparatus for analyzing a vehicle energy source filling point, including:
the system comprises an acquisition module, a data processing module and a data processing module, wherein the acquisition module is used for acquiring a plurality of driving data of a vehicle in the driving process;
the energy filling point determining module is used for determining the energy filling point of the vehicle in a preset time period according to the plurality of driving data;
the matching module is used for matching the energy filling points with a preset energy station list to obtain a matching result;
and the analysis module is used for analyzing whether the energy filling point of the vehicle is abnormal or not according to the matching result.
In a third aspect, an embodiment of the present invention provides an on-vehicle device, including:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a method of analyzing a vehicle energy source fill point as in any embodiment of the invention.
In a fourth aspect, embodiments of the present invention provide a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements a method for analyzing a vehicle energy source filling point according to any of the embodiments of the present invention.
The embodiment of the invention collects a plurality of driving data of the vehicle in the driving process; determining an energy filling point of the vehicle in a preset time period according to the plurality of running data; matching the energy filling points with a preset energy station list to obtain a matching result; and analyzing whether the energy filling point of the vehicle is abnormal or not according to the matching result, solving the problems that the failure of the post-processing system cannot be determined because the energy filling point of the vehicle is not analyzed to be abnormal or the failure of the post-processing system is caused by the abnormal quality of the oil filled at the unqualified energy filling point, and realizing the effect of providing the function of analyzing whether the energy filling point of the vehicle is abnormal or not.
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Fig. 1 is a schematic flow chart of a method for analyzing a vehicle energy filling point according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a method for analyzing a vehicle energy filling point according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an analysis device of a vehicle energy source filling point according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an on-board device according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the steps as a sequential process, many of the steps can be performed in parallel, concurrently or simultaneously. In addition, the order of the steps may be rearranged. A process may be terminated when its operations are completed, but may have additional steps not included in the figure. A process may correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.
Furthermore, the terms "first," "second," and the like may be used herein to describe various orientations, actions, steps, elements, or the like, but the orientations, actions, steps, or elements are not limited by these terms. These terms are only used to distinguish one direction, action, step or element from another direction, action, step or element. For example, the first data set may be referred to as the second data set, and similarly, the second data set may be referred to as the first data set, without departing from the scope of the present application. Both the first data set and the second data set are data sets, but they are not the same data set. The terms "first", "second", etc. are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Example one
Fig. 1 is a schematic flowchart of an analysis method for a vehicle energy refueling point according to an embodiment of the present invention, which is applicable to a scenario of analyzing whether an energy refueling point of a vehicle for energy refueling is abnormal, where the method may be executed by an analysis device for the vehicle energy refueling point, and the device may be implemented in a software and/or hardware manner and may be integrated on a vehicle-mounted device.
As shown in fig. 1, a method for analyzing a vehicle energy source filling point according to an embodiment of the present invention includes:
and S110, collecting a plurality of running data of the vehicle in the running process.
The vehicle is a vehicle that rotates on a wheel on land. In this embodiment, the vehicle refers to a vehicle that needs to be charged with power energy. Such as a fuel powered vehicle, an electric vehicle, or a hydrogen powered vehicle, without limitation. Alternatively, the vehicle includes, but is not limited to, a logistics vehicle, a passenger vehicle, etc., and is not limited thereto. The driving process refers to a process in which the vehicle travels a certain distance. Specifically, the vehicle during driving includes, but is not limited to, starting, accelerating, braking, decelerating, and driving at a constant speed. The running data is data of a running state of the vehicle during running. Optionally, the driving data includes, but is not limited to, vehicle position information, fuel tank level, vehicle speed/engine speed, and acquisition time of the acquired data, etc., and is not limited herein. In this embodiment, specifically, the driving data may be collected according to a preset frequency to obtain a plurality of driving data. For example, the plurality of travel data are acquired at a preset frequency of every second. In this embodiment, data may be collected by various sensors on the vehicle.
And S120, determining an energy filling point of the vehicle in a preset time period according to the plurality of running data.
Wherein, the energy filling point refers to the position for filling power energy. For example, the energy filling point of a fuel vehicle is a gas station, the energy filling point of an electric vehicle is a charging pile, and the energy filling point of a hydrogen energy vehicle is a hydrogen station. The preset time period refers to a time point or a time period when the vehicle is charged with power energy at the energy charging point. Optionally, the type of energy charging point may include a denormal energy charging point, a formal energy charging point, or a suspected denormal energy charging point, etc. Specifically, the number of times of energy filling may be more than one time in a period of driving of the vehicle, and the energy filling point may be associated with time by determining the energy filling point of the vehicle in a preset time period, so that when energy filling is performed for multiple times, it is determined whether the energy filling point in a specific time period is abnormal.
In an optional embodiment, the plurality of driving data includes a collection time for collecting each driving data, a tank liquid level change value corresponding to each collection time, and vehicle position information corresponding to each collection time, and the determining the energy filling point of the vehicle in the preset time period according to the plurality of driving data includes:
judging whether the oil tank liquid level change value corresponding to each acquisition time is greater than a change threshold value; taking the acquisition time when the liquid level change value of the oil tank is greater than the change threshold value as target acquisition time; and using the vehicle position information corresponding to the target acquisition time as an energy filling point of the preset time period.
In the embodiment, the method is suitable for analyzing the scene of the energy filling point of the fuel vehicle through the liquid level change value of the fuel tank. Wherein, the collection time refers to the time for collecting the driving data. And acquiring the liquid level change value of the oil tank and the vehicle position information at each acquisition time. The oil tank liquid level change value is the difference value of the oil tank liquid level according to the current acquisition time and the oil tank liquid level of the previous acquisition time corresponding to the current acquisition time. In particular, the tank level may represent the current fuel to tank volume ratio, and thus the tank level variation value represents the variation in the tank volume ratio of the fuel in the tank. For example, if the fuel tank liquid level ratio at the current collection time 9:01:00 is 90%, and the fuel tank liquid level ratio at the last collection time is 30%, the difference is 60%, which represents that the fuel tank ratio change is 60%. In this embodiment, the variation threshold is optionally 20%. The embodiment does not determine the specific value of the change threshold, and can perform big data analysis according to the actual refueling condition of all monitored vehicles in the Internet of vehicles system to perform dynamic adjustment and optimization. The vehicle position information refers to the geographic position of the vehicle, and can be determined through latitude and longitude. The target acquisition time refers to the acquisition time when the liquid level change value of the oil tank is greater than the change threshold value. Specifically, when the liquid level variation value of the oil tank is greater than the variation threshold value, the fuel vehicle can be considered to be refueled, and therefore the vehicle position information corresponding to the target acquisition time is used as the energy source filling point. According to the method and the device, whether the vehicle is subjected to energy filling can be analyzed according to the liquid level change value of the oil tank, and too many computing resources are not required to be occupied.
Optionally, the abnormal data may be removed by determining whether the oil tank liquid level change value corresponding to each acquisition time is greater than a change threshold. Specifically, the removing abnormal data may include removing data that the fuel tank liquid level exceeds a data value range, for example, data that the fuel tank liquid level exceeds a scale of a fuel tank liquid level measuring instrument; the situation that the fuel tank liquid level is single-stage or continuous and has front and back liquid level difference within the preset time range can be eliminated, for example, the situation that the fuel tank liquid level rises twice within 10 seconds or the fuel tank liquid level rises and falls within 10 seconds is avoided.
In another optional embodiment, the plurality of driving data includes a collection time for collecting each driving data, an engine speed or a vehicle speed corresponding to each collection time, and vehicle position information corresponding to each collection time, and the determining the energy charging point of the vehicle in the preset time period according to the plurality of driving data includes:
determining the variation trend of the engine speed or the vehicle speed corresponding to a plurality of acquisition times within the variation time; judging whether the variation trend meets a preset trend or not; taking the acquisition time of which the variation trend meets the preset trend as target acquisition time; and using the vehicle position information corresponding to the target acquisition time as an energy filling point of the preset time period.
In the embodiment, the method is suitable for analyzing the scene of the energy filling point of the fuel vehicle through the variation trend of the engine speed or the vehicle speed. The engine speed is a rotational speed of an engine of a vehicle during running. The vehicle speed refers to a vehicle speed of the vehicle during running. The variation trend refers to the variation rule of the engine speed or the vehicle speed within the variation time and at a plurality of acquisition times. For example, the engine speed undergoes changes in states of reduced speed, 0 speed, increased speed, maintained speed, and the like, respectively, within 30 seconds. The preset trend is used for judging whether the change trend is an action of refueling. Specifically, during actual fueling, stopping, engine shutdown, engine stall, and the like are executed before fueling, and the vehicle speed or the engine speed at this time is 0. After the refueling is completed, ignition is performed, and the vehicle speed or the engine speed is increased from 0 again. The preset tendency may be that the data of the starting time of the engine speed or the vehicle speed within the preset time is 0 and the end time after the preset sub-time (for example, after 1 minute) starts to change again. And traversing the data set according to the time sequence, and acquiring the initial acquisition time of the time period meeting the preset trend as the target acquisition time. And using the vehicle position information corresponding to the target acquisition time as an energy filling point of a preset time period. The method for analyzing the energy filling points is more accurate, but a plurality of running data need to be traversed, the target acquisition time meeting the preset trend is obtained, and the analysis calculation power consumption is larger. Optionally, before determining the variation trend of the engine speed or the vehicle speed corresponding to the multiple collection times within the variation time, data that the engine speed or the vehicle speed is out of range may be removed, for example, data that the engine speed is 10000r/min or data that the vehicle speed is 200KM/H are removed.
In another alternative embodiment, the energy filling point may be analyzed by a tank level variation value and an engine speed or a vehicle speed. When the liquid level change value of the oil tank is larger than the change threshold value, the collection time when the change trend of the engine speed or the vehicle speed corresponding to the collection times in the preset time meets the preset trend is used as the target time, and the vehicle position information corresponding to the target collection time is used as the energy filling point in the preset time period.
And S130, matching the energy filling points with a preset energy station list to obtain a matching result.
The preset energy station list is a list determined according to the position information of the legal gas station and is used for matching with the energy filling points so as to judge whether the energy filling points are abnormal or not. Optionally, the preset energy station list may be obtained according to a spatial database of the energy station of the third party. The matching result refers to the matching result of the energy filling point and the preset energy station list. Optionally, the matching result includes matching success and matching failure.
In an optional embodiment, the preset energy station list is obtained by performing spatial range matching calculation after converting a two-dimensional longitude and latitude code of a spatial database of an energy filling station into a one-dimensional byte code, and the matching the energy filling point and the preset energy station list to obtain a matching result includes:
judging whether the preset energy station list comprises the energy filling points or not; when the preset energy station list comprises the energy filling points, the matching result is successful; and when the preset energy station list does not comprise the energy filling point, the matching result is matching failure.
In this embodiment, the two-dimensional longitude and latitude code is a two-dimensional code for determining the position information by longitude and latitude, and the one-dimensional byte code is a byte code representing the position information. The spatial range matching calculation refers to calculating the position set of all energy filling stations under the same position standard to obtain a preset energy station list. The preset energy station list refers to a list of legal energy filling stations and corresponding position information. Specifically, when the preset energy station list includes the energy station filling point, that is, when the preset energy station list includes the same position information as the energy station filling point, the matching result is that the matching is successful; and when the preset energy station list does not comprise the energy filling point, the matching result is matching failure.
And S140, analyzing whether the energy filling point of the vehicle is abnormal or not according to the matching result.
In the step, whether the energy filling point is abnormal or not can be analyzed according to the matching result. For example, an energy source fill point anomaly may determine that the energy source fill point is an illegal energy source fill point. The embodiment can determine whether the fault is caused by the non-compliance of the energy source filling point or the fault of the vehicle when the vehicle is in fault, for example, the after-treatment system of the fuel vehicle is in fault, by judging whether the energy source filling point of the vehicle is in anomaly or not. Optionally, after the step, the unique identifier (for example, VIN code) of the vehicle and the analysis result may be obtained and stored to obtain the storage record, so that the storage record is called when necessary to determine whether the vehicle goes to an illegal energy charging point for energy charging, and fault cause analysis is provided. The vehicle of the embodiment may be a fuel automobile, an electric automobile, or a hydrogen energy automobile. For example, taking a fuel-oil automobile as an example, when the aftertreatment system of the fuel-oil automobile breaks down, the stored record corresponding to the unique identifier may be called through the unique identifier of the fuel-oil automobile to determine whether the vehicle has ever gone to an illegal gas station for refueling in the near future, so as to determine the cause of the aftertreatment system failure of the vehicle. Taking an electric vehicle as an example, the service life of the power battery of the electric vehicle is relatively stable in a normal use state, and the endurance attenuation of the power battery is also relatively stable. Parameters of the illegal charging pile do not meet the requirements, for example, the input voltage and the output power are not within the charging rated voltage and the charging rated power of the power battery, so that the service life of the power battery is influenced, and the endurance decay of the power battery is accelerated. Therefore, when the service life of the vehicle is far shorter than the normal service life or the time of endurance decay is far shorter than the normal decay time, the storage record of the vehicle can be called through the unique identifier of the vehicle, whether the vehicle is charged in the illegal charging pile or frequently in the illegal charging pile is judged, and therefore the fact that the abnormity of the power battery is caused by the fact that the quality of the power battery is not over due to the manufacture of a manufacturer or the fact that the power battery is abnormal due to the fact that a user charges in the illegal charging pile is determined, and the method has great significance.
In an optional embodiment, the analyzing whether the energy charging point of the vehicle is abnormal according to the matching result comprises:
when the matching result is that the matching is successful, the energy filling point of the vehicle is a regular energy filling point or a suspected non-regular energy filling point; and when the matching result is that the matching fails, the energy source filling point of the vehicle is an illegal energy source filling point.
In an optional embodiment, the analyzing the matching result to determine whether the energy charging point of the vehicle is abnormal may further include:
acquiring vehicle characteristic information of a vehicle; detecting a running condition and a fuel consumption condition of the vehicle after energy filling; and analyzing whether the energy filling point of the vehicle is a regular energy filling point or a suspected non-regular energy filling point according to the vehicle characteristic information, the driving condition and the oil consumption condition.
Generally, the fuel at regular energy filling points, such as regular fuel stations, is qualified, so that the cruising ability of the fuel filled at the regular fuel stations is relatively stable, but the cruising ability of the vehicle is greatly reduced due to the uneven quality of the fuel at the irregular energy filling points. Taking a fuel oil vehicle as an example, the problem that the ethanol content of the inferior gasoline exceeds the standard generally exists, so that the fuel injection quantity is increased, and the fuel consumption is increased. The poor diesel oil has the defects of insufficient combustion and increased oil consumption due to substandard low heat value. Therefore, the vehicle can be analyzed as a regular energy charging point or a suspected non-regular energy charging point according to the vehicle characteristic information, the driving condition and the fuel consumption condition. The vehicle characteristic information includes, but is not limited to, the brand of the vehicle, the model of the vehicle, the total travel distance of the vehicle, and the like. The driving conditions include, but are not limited to, road type (e.g., national road, provincial road, or rural road), region (e.g., Shenzhen or Tianjin), ambient temperature during driving, and the like, and are not limited herein. The fuel consumption condition refers to fuel consumption per unit time. Whether the cruising ability of the vehicle is normal or not can be determined through the vehicle characteristic information, the driving condition and the fuel consumption condition, if the cruising ability of the vehicle is normal, the energy filling point is a normal energy filling point, and if the cruising ability of the vehicle is abnormal, the energy filling point is a suspected non-normal energy filling point.
In an alternative embodiment, the method for analyzing a vehicle energy source filling point further comprises:
and uploading the energy filling points corresponding to the matching failure to a monitoring device so that the monitoring device can mark the illegal energy filling points.
In this embodiment, the monitoring device may be a monitoring terminal of an enterprise, a vehicle-mounted terminal installed on a vehicle, and a mobile terminal, and is not limited herein. Specifically, after the illegal energy source filling point is marked, when a system of the vehicle breaks down, for example, when an aftertreatment system of a fuel vehicle breaks down, the data of the vehicle is called, whether the vehicle refuels at the illegal energy source filling point is judged, and therefore whether the fault of the aftertreatment system is the fault of the aftertreatment system caused by the fact that the aftertreatment system breaks down or the fact that the aftertreatment system breaks down due to the fact that the aftertreatment system goes to the illegal energy source filling point for refueling is determined, and therefore analysis support of fault reasons is provided. In addition, the marked illegal energy source filling points can be uploaded to a server through the internet of vehicles, and an online map is displayed, so that all vehicles in the internet of vehicles can share the information of the illegal energy source filling points, and the illegal energy source filling point oiling is avoided.
According to the technical scheme of the embodiment of the invention, a plurality of driving data of the vehicle in the driving process are collected; determining an energy filling point of the vehicle in a preset time period according to the plurality of running data; matching the energy filling points with a preset energy station list to obtain a matching result; and analyzing whether the energy filling point of the vehicle is abnormal or not according to the matching result, judging the position of the vehicle for filling the energy according to a plurality of running data of the vehicle, judging whether the energy filling point is abnormal or not, providing a function of analyzing whether the energy filling point is abnormal or not, and achieving the technical effect of providing the function of analyzing whether the energy filling point of the vehicle is abnormal or not.
Example two
Fig. 2 is a schematic flow chart of a method for analyzing a vehicle energy source filling point according to a second embodiment of the present invention. The embodiment is further refined in the technical scheme, and is suitable for analyzing whether the energy filling point of the vehicle for energy filling is abnormal or not. The method can be executed by an analysis device of the vehicle energy filling point, which can be realized in a software and/or hardware manner and can be integrated on the vehicle-mounted equipment.
As shown in fig. 2, a method for analyzing a vehicle energy source filling point according to a second embodiment of the present invention includes:
s210, collecting a plurality of running data of the vehicle in the running process.
The vehicle is a vehicle that rotates on a wheel on land. In this embodiment, the vehicle refers to a vehicle that needs to be charged with power energy. Such as a fuel powered vehicle, an electric vehicle, or a hydrogen powered vehicle, without limitation. Alternatively, the vehicle includes, but is not limited to, a logistics vehicle, a passenger vehicle, etc., and is not limited thereto. The driving process refers to a process in which the vehicle travels a certain distance. Specifically, the vehicle during driving includes, but is not limited to, starting, accelerating, braking, decelerating, and driving at a constant speed. The running data is data of a running state of the vehicle during running. Optionally, the driving data includes, but is not limited to, vehicle position information, fuel tank level, vehicle speed/engine speed, and acquisition time of the acquired data, etc., and is not limited herein. In this embodiment, specifically, the driving data may be collected according to a preset frequency to obtain a plurality of driving data. For example, the plurality of travel data are acquired at a preset frequency of every second. In this embodiment, data may be collected by various sensors on the vehicle.
And S220, removing abnormal data in the plurality of driving data according to a preset noise point removing rule to obtain a first data set.
The preset noise removing rule refers to a mode of removing abnormal data. In the present embodiment, the abnormal data includes, but is not limited to, invalid values and tank level changes due to bumps during vehicle travel. The invalid value may be data that the liquid level of the fuel tank exceeds a liquid level threshold, the vehicle speed exceeds a vehicle speed threshold, and the engine speed exceeds a rotational speed threshold, which is not limited herein. The change of the liquid level of the oil tank caused by the jolt during the running process of the automobile can be realized by the single-stage or continuous existence of front and back liquid level difference data of the liquid level of the oil tank within a preset time, such as 10 seconds. The first data set includes all data of the plurality of travel data from which abnormal data is removed. In the step, the accuracy of analyzing whether the energy filling point is abnormal or not in the subsequent steps is improved by removing the abnormal data.
And S230, carrying out data frequency reduction on the first data set according to a preset frequency reduction rule to obtain a second data set.
The preset frequency reduction rule refers to a mode or a method for performing data frequency reduction on the first data set. Specifically, the first data set is discretized according to equal distance, and the frequency reduction of the first data set is realized by using equal frequency cutting. The step length of the cutting is less than or equal to the rounding-down value of the minimum theoretical refueling time of different vehicle types, and can be adjusted according to calculation. Preferably, the step size of the cutting is 5. The first data set is subjected to frequency reduction to obtain a second data set. In the step, the first data set is subjected to frequency reduction, so that the computational resource occupation for determining the energy filling point is reduced.
And S240, determining an energy filling point of the vehicle in a preset time period according to the second data set.
Wherein, the energy filling point refers to the position for filling power energy. For example, the energy filling point of a fuel vehicle is a gas station, the energy filling point of an electric vehicle is a charging pile, and the energy filling point of a hydrogen energy vehicle is a hydrogen station. The preset time period refers to a time point or a time period when the vehicle is charged with power energy at the energy charging point. Optionally, the type of energy charging point may include a denormal energy charging point, a formal energy charging point, or a suspected denormal energy charging point, etc.
And S250, matching the energy filling points with a preset energy station list to obtain a matching result.
The preset energy station list is a list determined according to the position information of the legal gas station and is used for matching with the energy filling points so as to judge whether the energy filling points are abnormal or not. Optionally, the preset energy station list may be obtained according to a spatial database of the energy station of the third party. The matching result refers to the matching result of the energy filling point and the preset energy station list. Optionally, the matching result includes matching success and matching failure.
And S260, analyzing whether the energy filling point of the vehicle is abnormal or not according to the matching result.
In the step, whether the energy filling point is abnormal or not can be analyzed according to the matching result. For example, an energy source fill point anomaly may determine that the energy source fill point is an illegal energy source fill point. The embodiment can determine whether the fault is caused by the non-compliance of the energy source filling point or the fault of the vehicle when the vehicle is in fault, for example, the after-treatment system of the fuel vehicle is in fault, by judging whether the energy source filling point of the vehicle is in anomaly or not.
According to the technical scheme of the embodiment of the invention, a plurality of driving data of the vehicle in the driving process are collected; determining an energy filling point of the vehicle in a preset time period according to the plurality of running data; matching the energy filling points with a preset energy station list to obtain a matching result; and analyzing whether the energy filling point of the vehicle is abnormal or not according to the matching result, judging the position of the vehicle for filling the energy according to a plurality of running data of the vehicle, judging whether the energy filling point is abnormal or not, providing a function of analyzing whether the energy filling point is abnormal or not, and achieving the technical effect of providing the function of analyzing whether the energy filling point of the vehicle is abnormal or not.
EXAMPLE III
Fig. 3 is a schematic structural diagram of an analysis apparatus for a vehicle energy filling point according to a third embodiment of the present invention, which may be applied to a scenario of analyzing whether an energy filling point for vehicle energy filling is abnormal, and the apparatus may be implemented in a software and/or hardware manner and may be integrated on a vehicle-mounted device.
As shown in fig. 3, the analysis apparatus for a vehicle energy filling point provided by the present embodiment may include an acquisition module 310, an energy filling point determination module 320, a matching module 330, and an analysis module 340, where:
the acquisition module 310 is used for acquiring a plurality of running data of the vehicle in the running process; an energy filling point determining module 320, configured to determine an energy filling point of the vehicle in a preset time period according to the plurality of driving data; the matching module 330 is configured to match the energy filling point with a preset energy station list to obtain a matching result; and the analysis module 340 is used for analyzing whether the energy filling point of the vehicle is abnormal or not according to the matching result.
Optionally, the multiple pieces of driving data include collection time for collecting each piece of driving data, a fuel tank liquid level change value corresponding to each collection time, and vehicle position information corresponding to each collection time, and the energy filling point determining module 320 includes: the judging unit is used for judging whether the oil tank liquid level change value corresponding to each acquisition time is greater than a change threshold value; the target acquisition time determining unit is used for taking the acquisition time when the liquid level change value of the oil tank is greater than the change threshold value as target acquisition time; and the energy filling point determining unit is used for taking the vehicle position information corresponding to the target acquisition time as the energy filling point of the preset time period.
Optionally, the running data includes collection time for collecting each running data, an engine speed or a vehicle speed corresponding to each collection time, and vehicle position information corresponding to each collection time, and the determination unit is further configured to determine a variation trend of the engine speed or the vehicle speed corresponding to the collection times within the variation time; judging whether the variation trend meets a preset trend or not; the target acquisition time determining unit is also used for taking the acquisition time of which the variation trend meets the preset trend as target acquisition time; the energy filling point determining unit is further configured to use vehicle position information corresponding to the target acquisition time as an energy filling point of the preset time period.
Optionally, the energy filling point determining module 320 further includes: the noise point removing unit is used for removing abnormal data in the plurality of running data according to a preset noise point removing rule to obtain a first data set; the data frequency reduction unit is used for carrying out data frequency reduction on the first data set according to a preset frequency reduction rule to obtain a second data set; the energy source filling point determining unit is further configured to determine an energy source filling point of the vehicle for a preset time period according to the second data set.
Optionally, the preset energy station list is obtained by converting a two-dimensional longitude and latitude code of a spatial database of the energy filling station into a one-dimensional byte code and then performing spatial range matching calculation, where the matching module 330 is specifically configured to determine whether the preset energy station list includes the energy filling point; when the preset energy station list comprises the energy filling points, the matching result is successful; and when the preset energy station list does not comprise the energy filling point, the matching result is matching failure.
Optionally, the analysis module 340 is specifically configured to, when the matching result is that the matching is successful, determine that the energy charging point of the vehicle is a regular energy charging point or a suspected non-regular energy charging point; and when the matching result is that the matching fails, the energy source filling point of the vehicle is an illegal energy source filling point.
Optionally, the apparatus further comprises: and the uploading module is used for uploading the energy filling points corresponding to the matching failure to a monitoring device so that the monitoring device can mark the illegal energy filling points.
The vehicle energy filling point analysis device provided by the embodiment of the invention can execute the vehicle energy filling point analysis method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method. Reference may be made to the description of any method embodiment of the invention not specifically described in this embodiment.
Example four
Fig. 4 is a schematic structural diagram of an on-board device according to a fourth embodiment of the present invention. FIG. 4 illustrates a block diagram of an exemplary in-vehicle device 612 suitable for use in implementing embodiments of the present invention. The in-vehicle device 612 shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiment of the present invention.
As shown in fig. 4, the in-vehicle apparatus 612 is represented in the form of a general-purpose in-vehicle apparatus. Components of the in-vehicle device 612 may include, but are not limited to: one or more processors 616, a memory device 628, and a bus 618 that couples the various system components including the memory device 628 and the processors 616.
The in-vehicle device 612 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by in-vehicle device 612 and includes both volatile and nonvolatile media, removable and non-removable media.
A program/utility 640 having a set (at least one) of program modules 642 may be stored, for example, in storage 628, such program modules 642 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. The program modules 642 generally perform the functions and/or methods of the described embodiments of the present invention.
In-vehicle device 612 may also communicate with one or more external devices 614 (e.g., keyboard, pointing terminal, display 624, etc.), with one or more terminals that enable a user to interact with in-vehicle device 612, and/or with any terminals (e.g., network card, modem, etc.) that enable in-vehicle device 612 to communicate with one or more other computing terminals. Such communication may occur via input/output (I/O) interfaces 622. Also, in-vehicle device 612 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public Network such as the internet) via Network adapter 620. As shown in FIG. 4, network adapter 620 communicates with the other modules of in-vehicle device 612 via bus 618. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the in-vehicle device 612, including but not limited to: microcode, end drives, Redundant processors, external disk drive Arrays, RAID (Redundant Arrays of Independent Disks) systems, tape drives, and data backup storage systems, among others.
The processor 616 executes various functional applications and data processing by executing programs stored in the storage device 628, for example, implementing a method for analyzing a vehicle energy source filling point provided by any embodiment of the present invention, which may include:
collecting a plurality of driving data of a vehicle in the driving process;
determining an energy filling point of the vehicle in a preset time period according to the plurality of running data;
matching the energy filling points with a preset energy station list to obtain a matching result;
and analyzing whether the energy filling point of the vehicle is abnormal or not according to the matching result.
According to the technical scheme of the embodiment of the invention, a plurality of driving data of the vehicle in the driving process are collected; determining an energy filling point of the vehicle in a preset time period according to the plurality of running data; matching the energy filling points with a preset energy station list to obtain a matching result; and analyzing whether the energy filling point of the vehicle is abnormal or not according to the matching result, judging the position of the vehicle for filling the energy according to a plurality of running data of the vehicle, judging whether the energy filling point is abnormal or not, providing a function of analyzing whether the energy filling point is abnormal or not, and achieving the technical effect of providing the function of analyzing whether the energy filling point of the vehicle is abnormal or not.
EXAMPLE five
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a method for analyzing a vehicle energy source filling point, where the method may include:
collecting a plurality of driving data of a vehicle in the driving process;
determining an energy filling point of the vehicle in a preset time period according to the plurality of running data;
matching the energy filling points with a preset energy station list to obtain a matching result;
and analyzing whether the energy filling point of the vehicle is abnormal or not according to the matching result.
The computer-readable storage media of embodiments of the invention may take any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or terminal. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
According to the technical scheme of the embodiment of the invention, a plurality of driving data of the vehicle in the driving process are collected; determining an energy filling point of the vehicle in a preset time period according to the plurality of running data; matching the energy filling points with a preset energy station list to obtain a matching result; and analyzing whether the energy filling point of the vehicle is abnormal or not according to the matching result, judging the position of the vehicle for filling the energy according to a plurality of running data of the vehicle, judging whether the energy filling point is abnormal or not, providing a function of analyzing whether the energy filling point is abnormal or not, and achieving the technical effect of providing the function of analyzing whether the energy filling point of the vehicle is abnormal or not.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method of analyzing a vehicle energy source fill point, comprising:
collecting a plurality of driving data of a vehicle in the driving process;
determining an energy filling point of the vehicle in a preset time period according to the plurality of running data;
matching the energy filling points with a preset energy station list to obtain a matching result;
and analyzing whether the energy filling point of the vehicle is abnormal or not according to the matching result.
2. The method for analyzing a vehicle energy source filling point according to claim 1, wherein the plurality of driving data includes a collection time for collecting each driving data, a tank level change value corresponding to each collection time, and vehicle position information corresponding to each collection time, and the determining the energy source filling point of the vehicle for a preset time period based on the plurality of driving data includes:
judging whether the oil tank liquid level change value corresponding to each acquisition time is greater than a change threshold value;
taking the acquisition time when the liquid level change value of the oil tank is greater than the change threshold value as target acquisition time;
and using the vehicle position information corresponding to the target acquisition time as an energy filling point of the preset time period.
3. The method for analyzing a vehicle energy source charging point according to claim 1, wherein the plurality of travel data includes a collection time at which each travel data is collected, an engine speed or a vehicle speed corresponding to each collection time, and vehicle position information corresponding to each collection time, and the determining the energy source charging point of the vehicle for a preset time period based on the plurality of travel data includes:
determining the variation trend of the engine speed or the vehicle speed corresponding to a plurality of acquisition times within the variation time;
judging whether the variation trend meets a preset trend or not;
taking the acquisition time of which the variation trend meets the preset trend as target acquisition time;
and using the vehicle position information corresponding to the target acquisition time as an energy filling point of the preset time period.
4. The method for analyzing a vehicle energy source fill point according to claim 1, wherein said determining an energy source fill point of the vehicle for a preset time period based on the plurality of travel data comprises:
removing abnormal data in the plurality of driving data according to a preset noise point removing rule to obtain a first data set;
performing data frequency reduction on the first data set according to a preset frequency reduction rule to obtain a second data set;
and determining an energy filling point of the vehicle in a preset time period according to the second data set.
5. The method for analyzing a vehicle energy filling point according to claim 1, wherein the preset energy station list is obtained by performing a spatial range matching calculation after converting a two-dimensional longitude and latitude code of a spatial database of the energy filling station into a one-dimensional byte code, and the matching the energy filling point with the preset energy station list to obtain a matching result comprises:
judging whether the preset energy station list comprises the energy filling points or not;
when the preset energy station list comprises the energy filling points, the matching result is successful;
and when the preset energy station list does not comprise the energy filling point, the matching result is matching failure.
6. The method of analyzing a vehicle energy source charging point according to claim 5, wherein said analyzing whether the energy source charging point of the vehicle is abnormal according to the matching result includes:
when the matching result is that the matching is successful, the energy filling point of the vehicle is a regular energy filling point or a suspected non-regular energy filling point;
and when the matching result is that the matching fails, the energy source filling point of the vehicle is an illegal energy source filling point.
7. The method of analyzing a vehicle energy source fill point of claim 6, further comprising:
and uploading the energy filling points corresponding to the matching failure to a monitoring device so that the monitoring device can mark the illegal energy filling points.
8. An apparatus for analyzing a vehicle energy source fill point, comprising:
the system comprises an acquisition module, a data processing module and a data processing module, wherein the acquisition module is used for acquiring a plurality of driving data of a vehicle in the driving process;
the energy filling point determining module is used for determining the energy filling point of the vehicle in a preset time period according to the plurality of driving data;
the matching module is used for matching the energy filling points with a preset energy station list to obtain a matching result;
and the analysis module is used for analyzing whether the energy filling point of the vehicle is abnormal or not according to the matching result.
9. An in-vehicle apparatus, characterized by comprising:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the method of analyzing a vehicle energy source fill point of any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out a method of analyzing a vehicle energy source filling point according to any one of claims 1 to 7.
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