CN114819682A - Vehicle oil consumption management method, device and system and storage medium - Google Patents

Vehicle oil consumption management method, device and system and storage medium Download PDF

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CN114819682A
CN114819682A CN202210500807.6A CN202210500807A CN114819682A CN 114819682 A CN114819682 A CN 114819682A CN 202210500807 A CN202210500807 A CN 202210500807A CN 114819682 A CN114819682 A CN 114819682A
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佘雨泽
陈维
郭琪琪
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Xiamen Shianyao Intelligent Technology Co ltd
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Abstract

The invention provides a vehicle oil consumption management method, a device, a system and a storage medium, wherein the method comprises the following steps: receiving vehicle running information uploaded by the active safety device of each vehicle at regular time, wherein the vehicle running information comprises vehicle positioning information, and determining the running mileage of each vehicle according to the vehicle positioning information; receiving refueling information of each vehicle, wherein the refueling information comprises refueling quantity and invoicing date, and the refueling information is uploaded by a vehicle driver through a mobile terminal after refueling; calculating the total fuel charge and the total driving range of each vehicle in one month, and calculating the monthly fuel consumption value of each vehicle in one month through the total fuel charge/the total driving range; and determining the vehicles with abnormal fuel consumption according to the calculated monthly fuel consumption value of each vehicle. By utilizing the technical scheme, the oil consumption monitoring of all vehicles in an enterprise can be realized, and an oil consumption sensor does not need to be installed at an oil tank of the vehicle.

Description

Vehicle oil consumption management method, device and system and storage medium
Technical Field
The invention relates to the technical field of vehicle management service, in particular to a vehicle fuel consumption management method, device, system and storage medium.
Background
Many enterprises need to manage a large number of vehicles of various types, and vehicle fuel consumption management is a very important component of a vehicle management system. In the prior art, a fuel consumption sensor or a video monitoring device is usually added to a fuel tank for fuel consumption management to collect and monitor the fuel consumption value of a vehicle. The mode depends on an oil consumption sensor or video monitoring equipment additionally arranged on the mailbox, and is inconvenient to use. In addition, in a parking state, if hardware devices such as the fuel consumption sensor or the video monitoring device need to be guaranteed to continuously work, power needs to be continuously supplied to the hardware devices, and therefore the electric quantity of the storage battery is possibly exhausted.
Disclosure of Invention
The embodiment of the invention provides a vehicle oil consumption management method, a vehicle oil consumption management device and a storage medium, and the fuel consumption management of a commercial vehicle is realized based on big data without additionally arranging an oil consumption sensor or a video monitoring device on an oil tank.
To achieve the above object, in one aspect, there is provided a control method of a computer system for managing fuel consumption of a plurality of vehicles, each of the plurality of vehicles having an active safety device mounted thereon, wherein the method includes the steps of a server:
receiving vehicle running information uploaded by active safety equipment of each vehicle at regular time, wherein the vehicle running information comprises vehicle positioning information, and determining the running mileage of each vehicle according to the vehicle positioning information;
receiving refueling information of each vehicle, wherein the refueling information comprises refueling quantity and invoicing date, and the refueling information is uploaded by a vehicle driver through a mobile terminal after refueling;
summarizing the driving mileage and the refueling amount of each vehicle in one month to calculate the total refueling amount and the total driving mileage of each vehicle in one month, and calculating the monthly oil consumption value of each vehicle in one month through the total refueling amount/the total driving mileage;
and determining the vehicles with abnormal fuel consumption according to the calculated monthly fuel consumption value of each vehicle.
Further, the method for determining the oil consumption abnormal vehicle according to the calculated monthly oil consumption value of each vehicle comprises the following steps: ranking the monthly oil consumption values of all vehicles according to the height, and determining the vehicles with higher monthly oil consumption values in a preset percentage as the vehicles with abnormal oil consumption.
Further, the method for determining the oil consumption abnormal vehicle according to the calculated monthly oil consumption value of each vehicle comprises the following steps:
and comparing the calculated monthly oil consumption value of each vehicle with a preset target monthly oil consumption value, and determining that the vehicle corresponding to the monthly oil consumption value is an oil consumption abnormal vehicle when the monthly oil consumption value exceeds the target monthly oil consumption value by the preset deviation value.
Further, in the method, the target monthly fuel consumption value is an average monthly fuel consumption value P of all n vehicles in one month, wherein P is V/k, V represents the sum of the total fuel supply of all n vehicles in one month, k represents the sum of the total driving mileage of all n vehicles in one month, and n is an integer greater than 1.
Further, the method wherein receiving fueling information for each vehicle comprises:
receiving a refueling invoice uploaded by a vehicle driver, obtaining refueling information from the refueling invoice, and associating the refueling information with license plate information of a vehicle, wherein the refueling invoice is a paper invoice or an electronic invoice;
and if the oil filling invoice is a paper invoice, identifying the paper invoice through OCR to obtain the oil filling information.
Further, in the method, determining the mileage of each vehicle according to the vehicle positioning information includes:
synthesizing the vehicle positioning information into linear route mileage information of the vehicle, specifically comprising: and correcting the vehicle positioning information, combining all the positioning points in the middle of the road, and calculating the vehicle mileage according to the distance of the road.
Further, the method wherein calculating the total fueling amount and the total driving range of each vehicle within one month comprises:
and summarizing the driving mileage and the refueling amount of the vehicle on the previous day in the early morning of each day, and summarizing the driving mileage and the refueling amount of the vehicle on the current month in the early evening of the next month.
Further, in the method, a plurality of servers are used for performing distributed processing on the received vehicle running information and/or refueling information, wherein before receiving the vehicle running information and the refueling information, the method further comprises the following steps:
and receiving an online request and/or an information uploading request sent by active safety equipment of the vehicle, and allocating a proper server for the vehicle according to the current busy state of the server, wherein the active safety equipment of the vehicle accesses a network formed by a plurality of servers through a virtual access point.
Further, the method further comprises: when the server determines that the running numerical value of the server reaches a preset upper limit value, a new request uploaded by the active safety equipment is not accepted any more; and when the server determines that the running numerical value of the server is lower than the preset lower limit value, dynamically transferring the existing request to other servers, and automatically closing the server after processing the existing request.
Further, in the method, the server stores the vehicle driving information, the refueling information, and/or the monthly fuel consumption value through a NoSQL database.
In another aspect, a fuel consumption management device for a vehicle is provided, which includes a memory and a processor, wherein the memory stores at least one program, and the at least one program is executed by the processor to implement the fuel consumption management method for the vehicle as described above.
In still another aspect, a computer-readable storage medium is provided, in which at least one program is stored, and the at least one program is executed by the processor to implement the fuel consumption management method for the vehicle as described above.
In still another aspect, there is provided a vehicle fuel consumption management system for managing fuel consumption of a plurality of vehicles, each of the plurality of vehicles having an active safety device installed thereon, including: a mobile terminal and a server terminal; wherein, the mobile terminal is associated with vehicle and driver, includes: the refueling information identification module is used for identifying refueling information input by a vehicle driver; the server comprises a server, and the server is used for executing the following steps: receiving vehicle running information uploaded by active safety equipment of each vehicle at regular time, wherein the vehicle running information comprises vehicle positioning information, and determining the running mileage of each vehicle according to the vehicle positioning information; receiving refueling information of each vehicle, wherein the refueling information comprises refueling quantity and invoicing date, and the refueling information is uploaded by a vehicle driver through a mobile terminal after refueling; calculating the total fuel charge and the total driving range of each vehicle in one month, and calculating the monthly fuel consumption value of each vehicle in one month through the total fuel charge/the total driving range; and determining the vehicles with abnormal fuel consumption according to the calculated monthly fuel consumption value of each vehicle.
The technical scheme has the following technical effects:
by using the vehicle oil consumption management method provided by the embodiment of the invention, the server obtains vehicle refueling information through the mobile terminal, obtains vehicle running information through the vehicle-mounted active safety equipment, and further determines the vehicles with abnormal oil consumption by calculating the monthly oil consumption value of each vehicle in one month so as to monitor the oil consumption of all vehicles in an enterprise. By utilizing the scheme of the embodiment of the invention, the damage to the vehicle caused by additionally arranging the fuel consumption sensor and the continuous maintenance and replacement of the fuel consumption sensor are avoided, and simultaneously, enterprises and operators can conveniently master the average monthly fuel consumption value of all commercial vehicles in the enterprises and the monthly fuel consumption value of each commercial vehicle, so that the monitoring on the fuel consumption values of the commercial vehicles is realized, the fuel consumption difference of the commercial vehicles of the enterprises is conveniently reduced, and the fuel consumption of the enterprises, the fuel stealing of drivers and the bad driving behaviors are reduced.
Drawings
Fig. 1 is a schematic flow chart of a fuel consumption management method for a vehicle according to an embodiment of the invention;
FIG. 2 is a schematic flow chart illustrating a fuel consumption management method of a vehicle according to another embodiment of the present invention;
fig. 3 is a schematic structural diagram of a fuel consumption management device for a vehicle according to an embodiment of the present invention.
Detailed Description
To further illustrate the various embodiments, the invention provides the accompanying drawings. The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the embodiments. Those skilled in the art will appreciate still other possible embodiments and advantages of the present invention with reference to these figures. Elements in the figures are not drawn to scale and like reference numerals are generally used to indicate like elements.
The invention will now be further described with reference to the accompanying drawings and detailed description.
The first embodiment is as follows:
fig. 1 is a flowchart illustrating a method for managing fuel consumption of a vehicle according to an embodiment of the invention. The method is used for managing fuel consumption of a plurality of vehicles, wherein each vehicle in the plurality of vehicles is provided with an active safety device, and the method comprises the following steps executed by a server:
receiving vehicle running information uploaded by the active safety device of each vehicle at regular time, wherein the vehicle running information comprises vehicle positioning information, and determining the running mileage of each vehicle according to the vehicle positioning information;
receiving refueling information of each vehicle, wherein the refueling information comprises refueling quantity and invoicing date, and the refueling information is uploaded by a vehicle driver through a mobile terminal after refueling;
summarizing the driving mileage and the refueling amount of each vehicle in one month to calculate the total refueling amount and the total driving mileage of each vehicle in one month, and calculating the monthly oil consumption value of each vehicle in one month through the total refueling amount/the total driving mileage;
and determining the vehicles with abnormal fuel consumption according to the calculated monthly fuel consumption value of each vehicle.
Specifically, the step of determining the oil consumption abnormal vehicle according to the calculated monthly oil consumption value of each vehicle comprises the following steps: ranking monthly fuel consumption values of all vehicles according to the height, and determining the vehicles with higher monthly fuel consumption values in a preset percentage as fuel consumption abnormal vehicles; or comparing the calculated monthly fuel consumption value of each vehicle with a preset target monthly fuel consumption value, and determining that the vehicle corresponding to the monthly fuel consumption value is an abnormal fuel consumption vehicle when the monthly fuel consumption value exceeds the target monthly fuel consumption value by the preset deviation value or exceeds the preset deviation value. In one implementation, the target monthly fuel consumption value may be an average monthly fuel consumption value of all n vehicles in a month, where n is the number of vehicles.
Fig. 2 is a schematic flow chart of a fuel consumption management method for a vehicle according to another embodiment of the invention. As shown in fig. 2, the method of this embodiment includes:
and S10, installing the active safety equipment on the vehicle. According to the 'notice about popularization and application of intelligent video monitoring and alarming technology' issued by the department of transportation in 2018, vehicles in danger of two passengers all need to be provided with driving safety equipment, and commercial vehicles need to be provided with active safety equipment. The active safety device collects the driving information of the commercial vehicle and uploads the driving information to the server in real time. The travel information includes: the driving mileage, the driving time, the real-time driving speed and other information.
And S20, the driver of the commercial vehicle obtains the oil filling invoice after filling oil, and uploads the information in the oil filling invoice to the server through the mobile terminal. The refuelling invoice may be a paper invoice or an electronic invoice. For a paper invoice, a driver can identify the oil filling invoice information by utilizing an OCR (optical character recognition) technology through a mobile terminal to obtain oil filling information. The refueling information includes: the amount of refuel and the date of the invoice. The invoicing date is typically the refuelling date. Further, other information such as the type of fueling may also be obtained. The driver can upload the license plate information together when uploading the refueling information. Alternatively, the vehicle information may be vehicle information, such as license plate information, determined by the server according to an identifier of a mobile terminal uploading the fueling information or an identifier of a driver bound to the mobile terminal, at the server. In one implementation, the above functions may be implemented by providing a corresponding program or software on the mobile terminal.
In one exemplary implementation, the mobile terminal recognizing the refueling information in the refueling invoice by using the OCR comprises: performing binarization processing on an invoice picture, defining character information of the oil-filling invoice as black and background information as white, and performing inclination correction on the picture; character recognition, including recognition of the number of refuels and the date of invoicing; performing layout recovery on the identified refueling information; the server matches the refueling information with the license plate information of the commercial vehicle according to the organization setting of the operator at the platform end for the driver; the server proofreads and processes all refueling information and commercial vehicle information, displays the refueling information and the commercial vehicle information at the mobile terminal APP, and stores the refueling information and the commercial vehicle information in the server.
Further, the character recognition may further include recognition of information such as a refueling type, a refueling unit price, a total refueling amount, a tax amount, a total refueling tax amount, an invoice number, a seller name, and a purchaser name.
And S30, transmitting the fueling information obtained through the step S20 to a server. As described above, the license plate information may be determined by the server according to the mobile terminal that uploads the information, or the license plate information may be uploaded to the server by the driver through the mobile terminal while uploading the fueling information.
And S40, aiming at each commercial vehicle, the server calculates the monthly oil consumption value of each commercial vehicle and the average monthly oil consumption value of all vehicles of the enterprise according to the driving information and the oil filling information collected in the current month, wherein the driving information and the oil filling information mainly comprise the driving mileage and the oil filling amount information of the vehicles in the current month. Wherein, the driving information may further include: driving duration, driving speed, etc.
S50, ranking all vehicles in the enterprise organization according to the monthly oil consumption values of the vehicles obtained through calculation, wherein the monthly oil consumption values are ranked from low to high, namely, the more front the ranking is, the lower the monthly oil consumption value is, the more back the ranking is, and the higher the monthly oil consumption value is;
s60, for all commercial vehicles in the organization, operators can judge whether the oil consumption of a certain vehicle is abnormal in a mode of judging the abnormal oil consumption value on an operation platform; if the deviation value is selected for screening to judge the abnormal mode of the fuel consumption value, the step S70 is executed; if the last 10% of the filter rank is selected, go to step S80;
s70, according to the monthly oil consumption value of each vehicle and the average monthly oil consumption value of all vehicles in the enterprise calculated in the step S40, an operator can preset a deviation value, for example, a deviation value is preset at a platform end, the monthly oil consumption value of each vehicle and the average monthly oil consumption value of all vehicles in the enterprise are compared, and the server screens out all vehicles of which the monthly oil consumption value exceeds the average monthly oil consumption value and reaches or exceeds the preset deviation value, wherein the vehicles have high oil consumption and need to reduce oil consumption and can be punished vehicles; similarly, the server can also screen all vehicles with monthly fuel consumption values lower than the average monthly fuel consumption value and reaching or exceeding the preset deviation value, and the vehicles have lower fuel consumption and can be rewarded. Then, the flow proceeds to step S90;
s80, screening out the information of the vehicle with the last ranking of 10% by the server according to the ranking of the fuel consumption value of the vehicle; similarly, the server can also screen out the top 10% vehicle information according to the ranking of the fuel consumption value of the vehicle. Then, execution proceeds to step S90.
S90, according to the selected abnormal fuel consumption value screening mode, in step S80 or S70, the operator obtains a target fuel consumption value list; the target fuel consumption value list comprises vehicle information to be subjected to reward and punishment;
s100, operators can reward and punish the organized vehicles according to the target oil consumption value list.
In one particular implementation, in step S10, the active safety device does not upload the mileage directly, but uploads the location information of the vehicle. Illustratively, the active safety device installed on the commercial vehicle reports a real-time locating point of the commercial vehicle to the server every 20 seconds, so that each commercial vehicle generates 4320 locating point information every day, the locating data generated by each commercial vehicle every 30 days is 129600, and if 30 commercial vehicles exist, 388.8 trillion locating information is generated every month; the vehicles do not run in a straight line when running on the road, so the positioning information uploaded by the active safety device is irregular, and the server needs to synthesize the positioning points reported to the server by the active safety device of each commercial vehicle into the straight line mileage information of the commercial vehicle.
Specifically, the position of the vehicle is reported to the server by the GPS, the mileage of each line segment is calculated by utilizing two positioning points, the total mileage is calculated by summing each line segment, however, the positioning points of the vehicle reported by the GPS have deviation, the total mileage calculated based on the deviation exists, and under the condition of large data volume, the deviation value of the total mileage is expanded along with the increase of the data volume. The scheme of the invention corrects the positioning points scattered on the periphery of the road, combines all the positioning points in the middle of the road and calculates the vehicle mileage according to the distance of the road, so that the obtained mileage data and the total mileage data basically have no deviation.
Illustratively, the following positioning deviation correction algorithm is adopted to perform positioning deviation correction so as to obtain the driving mileage of the vehicle:
suppose that the number of vehicle positioning data uploaded by the vehicle-mounted safety equipment is N, and the positioning data is (x) i ,y i ) Since all the coordinate points of the road are known, the nearest road coordinate point data can be obtained from the positioning data, and the actual road coordinate point data is (x' i ,y′ i ) Deviation value is s i The deviation value of each anchor point is
Figure BDA0003635370710000071
s i Less than or equal to 50 meters, then this positioning data is available, s i >If the distance data is 50 meters, the positioning data is unavailable, and a road coordinate point is taken as a coordinate point for calculating mileage data; let the distance between two points be d i Then, then
Figure BDA0003635370710000072
So the total mileage is
Figure BDA0003635370710000073
The distance of 50 meters is selected, and other suitable distances can be selected to correct the deviation according to needs.
In step S40, when calculating the total driving range of each vehicle for one month, if the monthly positioning data is calculated uniformly at the beginning of the next month to obtain the total range data, the calculation amount of the server is very large. Preferably, the mileage data and the refueling information are decomposed to each day for summation calculation, and the mileage data of each day in the month is summed in the beginning of the next month, so that the calculation amount of the server can be effectively reduced, and the calculation speed can be improved. In specific implementation, a timing task can be set in a server, and according to the commercial vehicle mileage information and refueling information summarized by an active safety device and a mobile terminal installed on a commercial vehicle, the mileage data and refueling data of the commercial vehicle on the previous day are summarized and calculated every morning, namely, the total mileage and total refueling amount of each commercial vehicle in one month are calculated in a 'white night calculation' mode.
For example, assuming that there are n commercial vehicles in the organization and there are d days in a month, the total driving range of the ith commercial vehicle per month is recorded as
Figure BDA0003635370710000081
Recording the driving mileage of all commercial vehicles in the organization as k, then
Figure BDA0003635370710000082
The total fuel charge of the ith commercial vehicle is v i Then, then
Figure BDA0003635370710000083
m is variable, and the total fuel charge of all vehicles in the organization in one month is v, then
Figure BDA0003635370710000084
The total miles of all commercial vehicles within the organization over a month are thus calculated.
Preferably, in the first morning after each month, the server extracts the calculated total mileage and total refueling number of each commercial vehicle in the month, and calculates the monthly oil consumption value of each vehicle and the average monthly oil consumption value of all commercial vehicles in the organization according to a formula.
Concretely, let P be the monthly fuel consumption value of the i-th commercial vehicle i I is 1 … n, then
Figure BDA0003635370710000085
m is variable, d is total days of the month, and the average monthly fuel consumption value of all commercial vehicles in the organization is P, then
Figure BDA0003635370710000086
Figure BDA0003635370710000087
Because the mileage of each commercial vehicle is large, the number of commercial vehicles in the enterprise organization is also large, which results in a very large amount of data collected for the commercial vehicles, and therefore, the monthly fuel consumption of the commercial vehicles and the average monthly fuel consumption of all the commercial vehicles in the organization have small errors.
In the specific implementation of the embodiment of the invention, because the number of vehicles is very large and the amount of data to be processed is very large, it is preferable that a plurality of servers are used for performing distributed processing on the received vehicle driving information and/or fueling information and/or other data. Preferably, before receiving the vehicle running information and the fueling information, the method further comprises: and receiving an online request and/or an information uploading request sent by the active safety equipment of the vehicle, and allocating a proper server for the vehicle according to the current busy state of the server, wherein the active safety equipment of the vehicle accesses a network formed by a plurality of servers through a virtual access point. For example, a general domain name may be set as a virtual access point of the vehicle-mounted driving safety equipment, and the active safety equipment of each commercial vehicle may be dynamically allocated to different servers according to the busy situation of each server.
In one specific implementation, the capacity of the server to be used may be flexibly expanded according to the amount of data actually processed. For example, if the active safety device on a commercial vehicle uploads a real-time location information every 20 seconds, each commercial vehicle generates 4320 location information every day, the location data generated by each commercial vehicle every 30 days is 129600, and if there are 30 million commercial vehicles, 388.8 trillion location information is generated every month. If the data is to be processed in real time, the processing burden on the servers is too heavy, but all commercial vehicles in the organization are not on-line from time to time, nor do all servers need to be operated at all times. When the commercial vehicles in the organization run less, the redundant servers can be shut down; under the condition that commercial vehicle operation is more or all operation, the server can carry out elasticity dilatation to the server according to the operation demand.
For example, when a vehicle is started or shut down, the vehicle-mounted active safety device sends an online or offline request to the server; when the vehicle is in a tunnel or fails, the vehicle-mounted safety device is provided with a heartbeat mechanism, and the vehicle-mounted safety device sends online information to the server according to the set time and frequency. Setting an upper limit value and a lower limit value aiming at the server, and when the operation of the server reaches the upper limit value, the server can not accept a new request; the operation value of the server is lower than the lower limit value, and the server can dynamically transfer the existing request to other redundant servers; and will automatically shut down after the existing request is processed. The request includes: the method comprises the steps of a positioning information uploading request, a refueling information uploading request, a vehicle-mounted driving safety device online/offline request and/or an alarm information uploading request collected by an active safety device of the commercial vehicle and the like.
Load balancing techniques may be used for servers when processing large amounts of data related to fuel consumption management. Specifically, a plurality of servers can form a server set, each server has an equivalent status, and the servers can individually provide services to the outside without the assistance of other servers. The method comprises the steps that through a load balancing technology, requests sent from the outside are evenly distributed to a certain server in a symmetrical structure to be stored, and the requests comprise information such as commercial vehicle real-time positioning data, real-time alarm data, alarm video and refueling information collected by a mobile terminal, wherein the commercial vehicle real-time positioning data, the real-time alarm data and the alarm video are collected by active safety equipment; and averagely distributing the work tasks to a plurality of servers for execution, such as calculating monthly total mileage data, refueling data, monthly oil consumption values and the like of each commercial vehicle.
For a large amount of data related to the oil consumption management scheme of the embodiment of the invention, a database cluster technology can be adopted to store and manage the data. Preferably, a NoSQL database is employed at the server. The NoSQL database is different from the SQL database in that the NoSQL database is a non-relational database, is a database without relations, and is suitable for a storage system with large data volume and high concurrency and related applications. The data model of the NoSQL database is typically more flexible than the rigid structure imposed by relational databases and can order data in predefined patterns, so NoSQL databases solve the problem of large concurrent reads and writes. The flexibility is embodied in that data can be extracted according to requirements, real-time operation of all data is not required to be maintained, and data redundancy is avoided. In the fuel consumption calculation, the mileage data and the fuel filling data of each commercial vehicle in the organization are extracted according to the calculation requirements, the total mileage data and the total fuel filling data of each commercial vehicle are calculated, and other unnecessary data are not called and operated. For example, the vehicle-mounted active safety device of the commercial vehicle uploads real-time position positioning information every 20 seconds, each commercial vehicle generates 4320 positioning point information every day, if 30 thousands of commercial vehicles exist, the daily generated positioning data is 12.96 trillions, but all the commercial vehicles cannot operate, and the NoSQL database only needs to perform elastic capacity expansion according to the real-time operation requirements of the commercial vehicles.
Example two:
the embodiment of the invention also provides a vehicle oil consumption management system, which is used for managing the oil consumption of a plurality of vehicles, wherein each vehicle in the plurality of vehicles is provided with an active safety device, and the system comprises: a mobile terminal and a server terminal; the mobile terminal is associated with a vehicle and a driver, and the driver can register individuals and the vehicle through a program or software set on the mobile terminal, such as binding information of the individuals and the vehicle, and inputting refueling information through the mobile terminal, specifically, the mobile terminal comprises: the refueling information identification module is used for identifying refueling information input by a vehicle driver; the server comprises a server, and the server is used for executing the following steps: receiving vehicle running information uploaded by the active safety device of each vehicle at regular time, wherein the vehicle running information comprises vehicle positioning information, and determining the running mileage of each vehicle according to the vehicle positioning information; receiving refueling information of each vehicle, wherein the refueling information comprises refueling quantity and invoicing date, and the refueling information is uploaded by a vehicle driver through a mobile terminal after refueling; calculating the total fuel charge and the total driving range of each vehicle in one month, and calculating the monthly fuel consumption value of each vehicle in one month through the total fuel charge/the total driving range; and determining the vehicles with abnormal fuel consumption according to the calculated monthly fuel consumption value of each vehicle. Preferably, the mobile terminal is a mobile terminal.
Further, the server side comprises corresponding modules for executing the steps of the vehicle fuel consumption management method.
According to the vehicle oil consumption management method and system, the oil filling information of the vehicle is obtained through the mobile terminal, and the monthly oil consumption value of each vehicle such as a commercial vehicle and the average monthly oil consumption value of all vehicles in an enterprise such as the commercial vehicle are calculated by combining the driving information uploaded by the vehicle-mounted active safety equipment. In the application scenario of the invention, because commercial vehicles run for a long distance, the driving information data collected by the active safety equipment is large in volume, the deviation and error of the monthly fuel consumption value calculated based on the large data information of the commercial vehicles are small, and the images of the monthly fuel consumption value caused by factors such as residual fuel quantity and traffic jam before refueling can be ignored. The server can rank monthly fuel consumption values of all commercial vehicles in an organization according to the monthly fuel consumption values calculated by the big data, and can also obtain the average monthly fuel consumption value of all the commercial vehicles in an enterprise. Therefore, operators can select the oil consumption value abnormal mode to screen commercial vehicle information and monthly oil consumption values which need to be concerned, and carry out reward and punishment on the vehicles according to the screening monthly oil consumption value list.
By using the vehicle oil consumption management method and the vehicle oil consumption management system, enterprises and operators can conveniently master the average monthly oil consumption value of all commercial vehicles in the enterprises and the monthly oil consumption value of each commercial vehicle, so that the enterprises can monitor the oil consumption values of the commercial vehicles, the oil consumption difference of the commercial vehicles of the enterprises is conveniently reduced, the oil consumption of the enterprises, the oil stealing and the bad driving behaviors of drivers are reduced, and the damage to the vehicles caused by additionally arranging an oil consumption sensor and the continuous maintenance and replacement of the oil consumption sensor are avoided.
Example three:
the present invention further provides a vehicle fuel consumption management apparatus, as shown in fig. 3, the apparatus includes a processor 301, a memory 302, a bus 303, and a computer program stored in the memory 302 and capable of running on the processor 301, the processor 301 includes one or more processing cores, the memory 302 is connected to the processor 301 through the bus 303, the memory 302 is used for storing program instructions, and the processor executes the computer program to implement the steps in the above method embodiments according to the first embodiment of the present invention.
Further, as an executable scheme, the vehicle oil consumption management device may be a computer unit, and the computer unit may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The computer unit may include, but is not limited to, a processor, a memory. It will be appreciated by those skilled in the art that the above-described constituent structures of the computer unit are merely examples of the computer unit, and do not constitute a limitation of the computer unit, and may include more or less components than those described above, or combine some components, or different components. For example, the computer unit may further include an input/output device, a network access device, a bus, and the like, which is not limited in this embodiment of the present invention.
Further, as an executable solution, the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, and the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like which is the control center for the computer unit and which is connected to various parts of the overall computer unit by various interfaces and lines.
The memory may be used to store the computer programs and/or modules, and the processor may implement the various functions of the computer unit by running or executing the computer programs and/or modules stored in the memory, as well as by invoking data stored in the memory. The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system and an application program required by at least one function; the storage data area may store data created according to the use of the mobile phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
Example four:
the invention also provides a computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the above-mentioned method of an embodiment of the invention.
The computer unit integrated module/unit, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments described above may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is appropriately increased or decreased as required by legislation and patent practice in the jurisdiction.
While the invention has been particularly shown and described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (13)

1. A vehicle fuel consumption management method is used for managing fuel consumption of a plurality of vehicles, and each vehicle in the plurality of vehicles is provided with an active safety device, and is characterized by comprising the following steps executed by a server:
receiving vehicle running information uploaded by active safety equipment of each vehicle at regular time, wherein the vehicle running information comprises vehicle positioning information, and determining the running mileage of each vehicle according to the vehicle positioning information;
receiving refueling information of each vehicle, wherein the refueling information comprises refueling quantity and invoicing date, and the refueling information is uploaded by a vehicle driver through a mobile terminal after refueling;
summarizing the driving mileage and the refueling amount of each vehicle in one month to calculate the total refueling amount and the total driving mileage of each vehicle in one month, and calculating the monthly oil consumption value of each vehicle in one month through the total refueling amount/the total driving mileage;
and determining the vehicles with abnormal fuel consumption according to the calculated monthly fuel consumption value of each vehicle.
2. The method of claim 1, wherein determining fuel consumption abnormal vehicles according to the calculated monthly fuel consumption value of each vehicle comprises:
ranking the monthly fuel consumption values of all vehicles according to the height, and determining the vehicles with higher monthly fuel consumption values in a preset percentage as fuel consumption abnormal vehicles.
3. The method of claim 1, wherein determining fuel consumption abnormal vehicles according to the calculated monthly fuel consumption value of each vehicle comprises:
and comparing the calculated monthly oil consumption value of each vehicle with a preset target monthly oil consumption value, and determining that the vehicle corresponding to the monthly oil consumption value is an oil consumption abnormal vehicle when the monthly oil consumption value exceeds the target monthly oil consumption value by the preset deviation value.
4. The method according to claim 3, wherein the target monthly fuel consumption is an average monthly fuel consumption P of all n vehicles in a month, P is V/k, wherein V represents a sum of total fuel charges of all n vehicles in a month, k represents a sum of total driving miles of all n vehicles in a month, and n is an integer greater than 1.
5. The method of claim 1, wherein receiving fueling information for each vehicle comprises:
receiving a refueling invoice uploaded by a vehicle driver, obtaining refueling information from the refueling invoice, and associating the refueling information with license plate information of a vehicle, wherein the refueling invoice is a paper invoice or an electronic invoice;
and if the refueling invoice is a paper invoice, identifying the paper invoice through OCR to obtain the refueling information.
6. The method of claim 1, wherein determining the range for each vehicle from the vehicle location information comprises:
synthesizing the vehicle positioning information into linear route mileage information of the vehicle, specifically comprising: and correcting the vehicle positioning information, combining all the positioning points in the middle of the road, and calculating the vehicle mileage according to the distance of the road.
7. The method of claim 1, wherein aggregating the mileage and the number of refuels for each vehicle over a month to calculate a total refuel amount and a total mileage for each vehicle over a month comprises:
and summarizing and calculating the driving mileage and the refueling amount of the vehicle on the previous day in the morning of each day, and summarizing and summing the driving mileage and the refueling amount of the vehicle on the current month in the early part of the next month.
8. The method of claim 1, wherein the received vehicle travel information and/or fueling information is processed in a distributed manner using a plurality of servers, wherein prior to receiving the vehicle travel information and the fueling information further comprises:
and receiving an online request and/or an information uploading request sent by active safety equipment of the vehicle, and allocating a proper server for the vehicle according to the current busy state of the server, wherein the active safety equipment of the vehicle accesses a network formed by a plurality of servers through a virtual access point.
9. The method of claim 8, further comprising:
when the server determines that the running numerical value of the server reaches a preset upper limit value, a new request uploaded by the active safety equipment is not accepted any more; and
and when the server determines that the operation value of the server is lower than the preset lower limit value, the existing request is dynamically transferred to the rest servers, and the server is automatically closed after the existing request is processed.
10. The method of claim 1, wherein the server stores the vehicle driving information, fueling information, and/or monthly fuel consumption values via a NoSQL database.
11. A fuel consumption management device for a vehicle, comprising a memory and a processor, wherein the memory stores at least one program, and the at least one program is executed by the processor to implement the fuel consumption management method for the vehicle according to any one of claims 1 to 10.
12. A computer-readable storage medium, wherein at least one program is stored in the storage medium, and the at least one program is executed by the processor to implement the fuel consumption management method for the vehicle according to any one of claims 1 to 10.
13. A vehicle fuel consumption management system for managing fuel consumption of a plurality of vehicles, each of the plurality of vehicles having an active safety device installed thereon, comprising: a mobile terminal and a server terminal;
the mobile terminal is associated with a vehicle and a driver, and comprises: the refueling information identification module is used for identifying refueling information input by a vehicle driver;
the server comprises a server, and the server is used for executing the following steps:
receiving vehicle running information uploaded by active safety equipment of each vehicle at regular time, wherein the vehicle running information comprises vehicle positioning information, and determining the running mileage of each vehicle according to the vehicle positioning information;
receiving refueling information of each vehicle, wherein the refueling information comprises refueling quantity and invoicing date, and the refueling information is uploaded by a vehicle driver through a mobile terminal after refueling;
summarizing the driving mileage and the refueling amount of each vehicle in one month to calculate the total refueling amount and the total driving mileage of each vehicle in one month, and calculating the monthly oil consumption value of each vehicle in one month through the total refueling amount/the total driving mileage;
and determining the vehicles with abnormal fuel consumption according to the calculated monthly fuel consumption value of each vehicle.
CN202210500807.6A 2022-05-10 2022-05-10 Vehicle oil consumption management method, device and system and storage medium Pending CN114819682A (en)

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