CN111489459A - Vehicle data analysis method - Google Patents
Vehicle data analysis method Download PDFInfo
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- CN111489459A CN111489459A CN202010313446.5A CN202010313446A CN111489459A CN 111489459 A CN111489459 A CN 111489459A CN 202010313446 A CN202010313446 A CN 202010313446A CN 111489459 A CN111489459 A CN 111489459A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0808—Diagnosing performance data
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
Abstract
The invention provides a vehicle data analysis method, which comprises the following steps: the method comprises the steps that a terminal receives a vehicle data analysis request of a client and sends a data analysis instruction to a server; the server sends a vehicle data acquisition instruction to the vehicle-mounted terminal according to the data analysis instruction; the vehicle-mounted terminal collects vehicle data and sends the vehicle data to the server, wherein the vehicle data comprises vehicle position information and vehicle state information; the vehicle data collected by the vehicle-mounted terminal is of a single vehicle or a plurality of vehicles; the server analyzes and compares the vehicle data and judges whether the vehicle oil consumption is abnormal or not; and obtaining a vehicle data analysis report according to the judgment result. Therefore, whether the vehicle oil consumption is abnormal or not is judged, and the purposes of predicting and monitoring the vehicle oil consumption are further achieved.
Description
Technical Field
The invention relates to the field of data analysis, in particular to a vehicle data analysis method.
Background
With the development of automobile technology, environmental pressure and oil crisis have led people to pay more and more attention to automobile fuel consumption. Factors that affect fuel consumption of a vehicle are numerous, such as speed, driver's driving habits, and so on.
In the prior art, the oil consumption data in a period of time is determined through manual statistics, and due to the fact that the manual oil consumption data are inaccurate in statistics, the analyzed data are often inaccurate and one-sided, and the data cannot bring corresponding guidance effects to car owners.
Disclosure of Invention
The invention aims to provide a vehicle data analysis method, which acquires vehicle oil consumption data by acquiring vehicle data and further analyzing and comparing the data to realize the prediction and monitoring of vehicle oil consumption.
In order to achieve the above object, an embodiment of the present invention provides a vehicle data analysis method, including:
the method comprises the steps that a terminal receives a vehicle data analysis request of a client and sends a data analysis instruction to a server;
the server sends a vehicle data acquisition instruction to the vehicle-mounted terminal according to the data analysis instruction;
the vehicle-mounted terminal collects vehicle data and sends the vehicle data to the server, wherein the vehicle data comprises vehicle position information and vehicle state information; the vehicle data collected by the vehicle-mounted terminal is of a single vehicle or a plurality of vehicles;
the server analyzes and compares the vehicle data and judges whether the vehicle oil consumption is abnormal or not;
and obtaining a vehicle data analysis report according to the judgment result.
Preferably, the receiving, by the terminal, the vehicle data analysis request of the client specifically includes:
the terminal is a handheld device with data processing capability, provides an input interface for a user to input commands or requests, sends related instructions to the server through a mobile network, and can also receive information sent by the server.
Preferably, the vehicle data includes vehicle position information and vehicle state information;
the vehicle state information specifically comprises vehicle running speed, engine rotating speed and engine starting and stopping state information;
the vehicle position information specifically comprises longitude and latitude information of a vehicle acquired by a vehicle-mounted GPS module.
Preferably, the analyzing and comparing the vehicle data by the server, and judging whether the vehicle oil consumption is abnormal specifically includes:
the server analyzes the vehicle state information, namely estimating the fuel consumption information of the vehicle according to the vehicle running speed, the engine rotating speed, the engine starting and stopping state and a corresponding calculation model;
the server analyzes the vehicle position information, namely calculating vehicle travel mileage data according to longitude and latitude information of the vehicle acquired by the vehicle-mounted GPS module and estimating fuel consumption information of the vehicle;
adding the fuel consumption information obtained by analyzing the vehicle state information and the vehicle position information by the server and taking the average value of the fuel consumption information;
historical refueling information of the vehicle is stored in the server, oil consumption data of the vehicle in a certain time period is set through a preset rule, and preset oil consumption data of the vehicle are obtained;
and the server compares the preset oil consumption data with the average oil consumption value obtained by analyzing the vehicle state information and the vehicle position information, and judges whether the vehicle oil consumption is abnormal or not.
Preferably, the obtaining of the vehicle data analysis report according to the determination result specifically includes:
when the server analyzes and compares the vehicle data and judges that the vehicle oil consumption is abnormal, analyzing the historical oil consumption of the vehicle; the method specifically comprises the following steps:
acquiring a historical driving route of the vehicle;
acquiring a historical driving state of a vehicle driving along the historical driving route, wherein the historical driving state at least comprises a historical driving speed of the vehicle on the historical driving route, and the historical driving speed is the driving speed of the vehicle driving on the historical driving route;
analyzing the historical oil consumption of the vehicle according to the historical driving state and the historical driving route;
when the server analyzes and compares the vehicle data and judges that the vehicle oil consumption is not abnormal, predicting the future oil consumption of the vehicle; the method specifically comprises the following steps:
acquiring a future driving route of the vehicle;
acquiring a future driving state of a vehicle driving along the future driving route, wherein the future driving state at least comprises a future driving speed of the vehicle on the future driving route, and the future driving speed is a driving speed of the vehicle driving on the future driving route;
and predicting the future fuel consumption of the vehicle according to the future driving state and the future driving route.
Further preferably, the analyzing the historical fuel consumption of the vehicle according to the historical driving state and the historical driving route specifically includes:
acquiring historical driving data of a vehicle, wherein the historical driving data comprises different historical driving states in the historical driving process of the vehicle and historical mileage oil consumption under the different historical driving states;
and analyzing the historical oil consumption of the vehicle according to the historical driving state, the historical driving route and the historical driving data.
Further preferably, the predicting the future fuel consumption of the vehicle according to the future driving state and the future driving route specifically includes:
acquiring historical driving data of a target vehicle, wherein the type of the target vehicle is the same as that of the vehicle, and the historical driving data comprises different historical driving states in the historical driving process of the target vehicle and historical mileage oil consumption under the different historical driving states;
predicting a future fuel consumption of the vehicle based on the future travel state, the future travel route, and the historical travel data.
Preferably, the method further comprises:
the server analyzes and compares the vehicle data to judge whether the vehicle is refueled;
and giving the vehicle data weight, setting the importance degree and the corresponding weighting coefficient as well as the relation with a preset threshold value and the corresponding coefficient according to a preset rule, calculating to obtain a weight, and comparing the weight with the preset weight to judge whether the vehicle has refueling behavior.
The invention has the beneficial effects that: the method comprises the steps of acquiring vehicle data, analyzing and comparing the data to obtain an average vehicle oil consumption value, comparing the average oil consumption value with preset oil consumption data to judge whether the vehicle oil consumption is abnormal or not, and further realizing prediction and monitoring of the vehicle oil consumption.
Drawings
Fig. 1 is a flowchart of a vehicle data analysis method according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the disclosure, the invention will be described in further detail with reference to the accompanying drawings and specific embodiments. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a flowchart of a vehicle data analysis method according to an embodiment of the present invention. As shown in fig. 1, the method includes the following steps;
in the embodiment of the invention, the terminal is a handheld device with data processing capability, provides an input interface for a user to input commands or requests, sends related instructions to the server through a mobile network, and can also receive information sent by the server. The vehicle data analysis request is sent by a client through a relevant control in a data analysis APP interface of the touch terminal, the data analysis instruction is a vehicle data instruction which requests the server to acquire the running condition of the vehicle through the handheld device, and the handheld device receives the vehicle data analysis request of the client and sends the data analysis instruction to the server through a mobile network.
102, the server sends a vehicle data acquisition instruction to the vehicle-mounted terminal according to the data analysis instruction;
the server receives a vehicle data instruction containing the vehicle running condition sent by the handheld terminal and sends a vehicle data instruction containing the vehicle running condition to the vehicle-mounted terminal through the communication module.
In this embodiment, the vehicle-mounted terminal obtains the vehicle data through an instrument inside the vehicle, an engine ecu (electronic Control unit), and a vehicle-mounted GPS module, specifically, the instrument provides the vehicle operation data, such as: information such as the number of times of braking, a vehicle oil tank level signal, vehicle running speed and residual oil quantity is transmitted to a vehicle-mounted terminal; the engine ECU transmits data such as actual oil consumption, engine rotating speed, engine starting and stopping times, engine output torque and the like of vehicle running to the vehicle-mounted terminal; the vehicle-mounted GPS module provides position information of the vehicle to the vehicle-mounted terminal; the vehicle-mounted terminal collects position information of a vehicle, a vehicle oil tank oil level signal, engine data, instantaneous oil consumption, total oil consumption and output torque data of the vehicle in real time and uploads the data to the server, the server generates an oil consumption management report according to the data, and a user inquires and manages the oil consumption report through the terminal.
103, the vehicle-mounted terminal collects vehicle data and sends the vehicle data to the server, wherein the vehicle data comprises vehicle position information and vehicle state information; the vehicle data collected by the vehicle-mounted terminal is of a single vehicle or a plurality of vehicles;
wherein, vehicle-mounted terminal gathers vehicle data, specifically includes:
collecting vehicle state information, and collecting vehicle running speed, engine rotating speed and engine starting and stopping state information through a sensor module;
collecting vehicle position information, and collecting longitude and latitude information of a vehicle through a vehicle-mounted GPS module;
in the embodiment, the vehicle data collected by the vehicle-mounted terminal can be of a single vehicle or a plurality of vehicles.
For the case of a single vehicle, the data can be directly recalled;
for the case of multiple vehicles, a unique vehicle code is set for each vehicle. The server identifies the vehicle code and collects vehicle data corresponding to the vehicle code.
in the present embodiment, the server analyzing the vehicle data means analyzing the vehicle state information and the vehicle position information.
The server analyzes the vehicle state information, namely, the fuel consumption information of the vehicle is estimated according to the running speed of the vehicle, the rotating speed of an engine, the starting and stopping states of the engine and a corresponding calculation model;
specifically, oil consumption corresponding to the running speed of the vehicle, the start and stop of the engine and oil consumption generated by the rotating speed are sent to the server.
The server analyzes the vehicle position information, namely, the vehicle driving mileage data is calculated according to the longitude and latitude information of the vehicle collected by the vehicle-mounted GPS module, and the oil consumption information of the vehicle is estimated;
specifically, the driving mileage is obtained through calculation according to the longitude and latitude of the marked vehicle position information, and the oil consumption information is calculated according to the mileage information and a preset rule.
Then, the server adds the oil consumption data obtained by analyzing the vehicle state information and the vehicle position information and takes the average value, so as to obtain the average value of the oil consumption;
in addition, in the embodiment, historical refueling information of the vehicle is stored in a storage module of the server, and oil consumption data of the vehicle in a certain time period is set to be preset oil consumption data of the vehicle according to preset rules;
in this embodiment, the comparison of the vehicle data by the server means comparing preset fuel consumption data with a fuel consumption average value.
The server compares the preset oil consumption data with an oil consumption average value obtained by analyzing the vehicle state information and the vehicle position information, and can judge whether the vehicle oil consumption is abnormal or not.
In addition, another alternative scheme is provided in the embodiment to judge whether the vehicle fuel consumption is abnormal, and the average speed fuel consumption is obtained according to the relation between the vehicle running speed and the average fuel consumption. The average speed fuel consumption is a ratio of the vehicle running speed to the average fuel consumption. And also setting a preset reference average speed fuel consumption.
Specifically, when the average speed fuel consumption is less than the reference average speed fuel consumption, it is determined that the vehicle fuel consumption is not abnormal;
and when the average speed fuel consumption is larger than the reference average speed fuel consumption, judging that the vehicle fuel consumption is abnormal.
105, obtaining a vehicle data analysis report according to the judgment result;
in the present embodiment, the vehicle data analysis report refers to the analysis of the vehicle historical fuel consumption and the prediction of the vehicle future fuel consumption.
When the server analyzes and compares the vehicle data and judges that the vehicle oil consumption is abnormal, analyzing the historical oil consumption of the vehicle; the method specifically comprises the following steps:
acquiring a historical driving route of the vehicle;
acquiring a historical driving state of the vehicle along a historical driving route, wherein the historical driving state at least comprises a historical driving speed of the vehicle on the historical driving route, and the historical driving speed is the driving speed of the vehicle on the historical driving route;
analyzing the historical oil consumption of the vehicle according to the historical driving state and the historical driving route;
when the server analyzes and compares the vehicle data and judges that the vehicle oil consumption is not abnormal, predicting the future oil consumption of the vehicle; the method specifically comprises the following steps:
acquiring a future driving route of the vehicle;
acquiring a future driving state of the vehicle along the future driving route, wherein the future driving state at least comprises a future driving speed of the vehicle on the future driving route, and the future driving speed is the driving speed of the vehicle on the future driving route;
and predicting the future fuel consumption of the vehicle according to the future driving state and the future driving route.
Further, analyzing the historical fuel consumption of the vehicle according to the historical driving state and the historical driving route specifically includes: acquiring historical driving data of the vehicle, wherein the historical driving data comprises different historical driving states in the historical driving process of the vehicle and historical mileage oil consumption under the different historical driving states;
according to the historical driving state, the historical driving route and the historical driving data, the specific step of analyzing the historical fuel consumption of the vehicle is as follows:
establishing a mathematical model by using historical driving data, inputting the historical driving state into the model as a parameter, and acquiring a node meeting a preset condition in the model as a target node, wherein the preset condition is that a driving state value range included by the target node contains the historical driving state; taking the unit mileage oil consumption contained in the target node as the target unit mileage oil consumption; and analyzing the historical oil consumption according to the historical driving route and the target unit mileage oil consumption.
Further, predicting the future fuel consumption of the vehicle according to the future driving state and the future driving route specifically includes: acquiring historical driving data of a target vehicle, wherein the type of the target vehicle is the same as that of the vehicle, and the historical driving data comprises different historical driving states of the target vehicle in the historical driving process and historical unit mileage oil consumption under the different historical driving states;
according to the future driving state, the future driving route and the historical driving data, the method for predicting the future fuel consumption of the vehicle specifically comprises the following steps:
establishing a mathematical model by using historical driving data, inputting a future driving state into the model as a parameter, and acquiring a node meeting a preset condition in the model as a target node, wherein the preset condition is that a driving state value range included by the target node contains the future driving state; taking the unit mileage oil consumption contained in the target node as the target unit mileage oil consumption; and predicting the future oil consumption according to the future driving route and the target unit mileage oil consumption.
The invention also provides another alternative, which is characterized in that the server analyzes and compares the vehicle data to judge whether the vehicle has refueling behavior;
specifically, a vehicle data weight is given according to a preset rule, an importance degree and a corresponding weighting coefficient are set, a relation with a preset threshold value and a corresponding coefficient are calculated to obtain a weight, and the weight is compared with the preset weight.
If the weight is smaller than a preset weight, judging that the vehicle does not have refueling behavior;
and if the weight is greater than the preset weight, judging that the vehicle has a refueling behavior.
The invention has the beneficial effects that: the method comprises the steps of acquiring vehicle data, analyzing and comparing the data to obtain an average vehicle oil consumption value, comparing the average oil consumption value with preset oil consumption data to judge whether the vehicle oil consumption is abnormal or not, and further realizing prediction and monitoring of the vehicle oil consumption.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, a software module executed by a processor, or a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
Claims (8)
1. A vehicle data analysis method, characterized in that the method comprises:
the method comprises the steps that a terminal receives a vehicle data analysis request of a client and sends a data analysis instruction to a server;
the server sends a vehicle data acquisition instruction to the vehicle-mounted terminal according to the data analysis instruction;
the vehicle-mounted terminal collects vehicle data and sends the vehicle data to the server, wherein the vehicle data comprises vehicle position information and vehicle state information; the vehicle data collected by the vehicle-mounted terminal is of a single vehicle or a plurality of vehicles;
the server analyzes and compares the vehicle data and judges whether the vehicle oil consumption is abnormal or not;
and obtaining a vehicle data analysis report according to the judgment result.
2. The vehicle data analysis method according to claim 1, wherein the receiving, by the terminal, the vehicle data analysis request of the customer specifically includes:
the terminal is a handheld device with data processing capability, provides an input interface for a user to input commands or requests, sends related instructions to the server through a mobile network, and can also receive information sent by the server.
3. The vehicle data analysis method according to claim 1, characterized in that the vehicle data includes vehicle position information and vehicle state information specifically includes;
the vehicle state information specifically comprises vehicle running speed, engine rotating speed and engine starting and stopping state information;
the vehicle position information specifically comprises longitude and latitude information of a vehicle acquired by a vehicle-mounted GPS module.
4. The vehicle data analysis method according to claim 1, wherein the server analyzes and compares the vehicle data, and the step of judging whether the vehicle oil consumption is abnormal specifically comprises the steps of:
the server analyzes the vehicle state information, namely estimating the fuel consumption information of the vehicle according to the vehicle running speed, the engine rotating speed, the engine starting and stopping state and a corresponding calculation model;
the server analyzes the vehicle position information, namely calculating vehicle travel mileage data according to longitude and latitude information of the vehicle acquired by the vehicle-mounted GPS module and estimating fuel consumption information of the vehicle;
adding the fuel consumption information obtained by analyzing the vehicle state information and the vehicle position information by the server and taking the average value of the fuel consumption information;
historical refueling information of the vehicle is stored in the server, oil consumption data of the vehicle in a certain time period is set through a preset rule, and preset oil consumption data of the vehicle are obtained;
and the server compares the preset oil consumption data with the average oil consumption value obtained by analyzing the vehicle state information and the vehicle position information, and judges whether the vehicle oil consumption is abnormal or not.
5. The vehicle data analysis method according to claim 1, wherein the obtaining of the vehicle data analysis report according to the determination result specifically includes:
when the server analyzes and compares the vehicle data and judges that the vehicle oil consumption is abnormal, analyzing the historical oil consumption of the vehicle; the method specifically comprises the following steps:
acquiring a historical driving route of the vehicle;
acquiring a historical driving state of a vehicle driving along the historical driving route, wherein the historical driving state at least comprises a historical driving speed of the vehicle on the historical driving route, and the historical driving speed is the driving speed of the vehicle driving on the historical driving route;
analyzing the historical oil consumption of the vehicle according to the historical driving state and the historical driving route;
when the server analyzes and compares the vehicle data and judges that the vehicle oil consumption is not abnormal, predicting the future oil consumption of the vehicle; the method specifically comprises the following steps:
acquiring a future driving route of the vehicle;
acquiring a future driving state of a vehicle driving along the future driving route, wherein the future driving state at least comprises a future driving speed of the vehicle on the future driving route, and the future driving speed is a driving speed of the vehicle driving on the future driving route;
and predicting the future fuel consumption of the vehicle according to the future driving state and the future driving route.
6. The vehicle data analysis method according to claim 5, wherein the analyzing the historical fuel consumption of the vehicle based on the historical driving state and the historical driving route specifically includes:
acquiring historical driving data of a vehicle, wherein the historical driving data comprises different historical driving states in the historical driving process of the vehicle and historical mileage oil consumption under the different historical driving states;
and analyzing the historical oil consumption of the vehicle according to the historical driving state, the historical driving route and the historical driving data.
7. The vehicle data analysis method according to claim 5, wherein the predicting the future fuel consumption of the vehicle based on the future travel state and the future travel route specifically includes:
acquiring historical driving data of a target vehicle, wherein the type of the target vehicle is the same as that of the vehicle, and the historical driving data comprises different historical driving states in the historical driving process of the target vehicle and historical mileage oil consumption under the different historical driving states;
predicting a future fuel consumption of the vehicle based on the future travel state, the future travel route, and the historical travel data.
8. The vehicle data analysis method according to claim 1, characterized in that the method further comprises:
the server analyzes and compares the vehicle data to judge whether the vehicle has an oil filling or oil stealing behavior;
and giving the vehicle data weight, setting the importance degree and the corresponding weighting coefficient as well as the relation with a preset threshold value and the corresponding coefficient according to a preset rule, calculating to obtain a weight, and comparing the weight with the preset weight to judge whether the vehicle has refueling behavior.
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Application publication date: 20200804 |