CN113741318A - Vehicle evaluation system based on big data - Google Patents
Vehicle evaluation system based on big data Download PDFInfo
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Abstract
本发明公开了一种基于大数据的车辆评估系统，涉及车辆数据监测技术领域，通过获取车辆的车辆运行数据，然后根据获得的车辆运行数据对车辆的电量使用情况进行分析，当车辆电量不足时，能够提前生成预警信息，通过预警模块内的定位单元对车辆位置和车主位置进行定位，并获得两者之间的距离，从而生成自启动请求信息，车主通过手机终端能够对获得的自启动请求信息执行确认指令和取消指令，当车主选择确认指令时，则向车辆的自启动模块发送自启动指令，自启动模块对车辆的发动机进行启动；当车主选择取消指令时，则不对车辆进行任何操作从而通过发动机对车辆内的电瓶进行充电，避免因为车辆的电瓶电量不足，导致车辆无法正常启动的情况发生。
The invention discloses a vehicle evaluation system based on big data, which relates to the technical field of vehicle data monitoring. By acquiring vehicle operation data of the vehicle, and then analyzing the electricity usage of the vehicle according to the obtained vehicle operation data, when the vehicle electricity is insufficient , which can generate early warning information in advance, locate the vehicle position and the owner's position through the positioning unit in the early warning module, and obtain the distance between them, thereby generating self-starting request information. The information executes the confirmation command and the cancellation command. When the owner chooses to confirm the command, it sends the self-starting command to the vehicle's self-starting module, and the self-starting module starts the vehicle's engine; when the car owner chooses to cancel the command, it does not perform any operation on the vehicle. Therefore, the battery in the vehicle is charged through the engine, so as to avoid the situation that the vehicle cannot be started normally due to insufficient battery power of the vehicle.
Description
Technical Field
The invention belongs to the technical field of vehicle data monitoring, and particularly relates to a vehicle evaluation system based on big data.
Background
In modern society, automobiles become a tool for riding instead of walk in daily life of people, and the situation that an automobile battery cannot be started due to power failure or carelessness of people often occurs;
in actual conditions, the electric quantity of a vehicle storage battery cannot be directly observed through an instrument panel, therefore, a vehicle owner can find that the electric quantity of the vehicle storage battery is insufficient under the condition that the storage battery is electrically dead so that the vehicle cannot be started, and how to send out early warning in advance when the electric quantity in the vehicle storage battery is insufficient is a problem which needs to be solved by people.
Disclosure of Invention
The invention aims to provide a vehicle evaluation system based on big data.
The purpose of the invention can be realized by the following technical scheme: a vehicle evaluation system based on big data comprises a monitoring center, wherein the monitoring center is in communication connection with a database, a data acquisition module, a data analysis module, an early warning module and a self-starting module;
the data acquisition module is used for acquiring vehicle operation data, the vehicle operation data comprise the state of the vehicle and the duration of each state of the vehicle, and then the acquired vehicle operation data are sent to the data analysis module;
the data analysis module is used for analyzing the vehicle operation data acquired by the data acquisition module, judging whether the electric quantity of the vehicle is sufficient according to the analysis result, generating early warning information when the electric quantity of the vehicle is insufficient, and sending the early warning information to the early warning module;
the early warning module comprises a positioning unit and a wireless transmission unit;
the self-starting module is used for starting an engine of the vehicle according to the received self-starting instruction, so that a storage battery in the vehicle is charged through the engine.
Further, the vehicle operation data acquisition process includes: acquiring the state of a vehicle; and the duration of each state of the vehicle is obtained, and then the service time of the vehicle auxiliary module in each state of the vehicle is respectively obtained.
Further, the database establishing process includes: the method comprises the steps of establishing a database according to vehicle models, setting a vehicle flameout electricity database, a vehicle starting non-running electricity database, a vehicle running electricity database and a vehicle auxiliary module electricity database in the database, respectively importing power consumption coefficients corresponding to different states of a vehicle, establishing a vehicle state index sequence, and binding the vehicle state index sequence with the database.
Further, the analysis process of the vehicle operation data comprises the following steps: obtaining the vehicle electric quantity loss amount, then setting a vehicle minimum starting electric quantity threshold value, and then obtaining a vehicle starting coefficient QX through the vehicle electric quantity loss amount and the vehicle minimum starting electric quantity threshold value; when QX is larger than 1, judging that the electric quantity of the vehicle is sufficient, and not executing operation; and when the QX is less than or equal to 1, judging that the electric quantity of the vehicle is insufficient, generating early warning information and sending the early warning information to an early warning module.
Further, the monitoring center is internally provided with basic information of a vehicle owner, and the basic information of the vehicle owner comprises a name, a gender, an age, a mobile phone number authenticated by a real name and an MAC address of a mobile phone terminal using the mobile phone number authenticated by the real name.
Further, the working process of the early warning module comprises: the position of a vehicle is obtained through a positioning unit, then the position of a mobile phone of a vehicle owner is obtained through an MAC address of a mobile phone terminal of the vehicle owner, the distance LJ between the vehicle owner and the mobile phone is calculated, the LJ is compared with a set human-vehicle distance threshold range, and when the LJ is located in the human-vehicle distance threshold range [0, L0 ], an early warning module sends early warning information to the mobile phone terminal of the vehicle owner through a wireless transmission unit; and when the LJ is larger than or equal to the L0, generating self-starting request information, and simultaneously transmitting the self-starting request information and the early warning information to the vehicle owner mobile phone terminal through the wireless transmission unit.
Further, when the vehicle owner receives the self-starting request information, the confirmation instruction and the cancellation instruction can be executed on the obtained self-starting request information through the mobile phone terminal, and when the vehicle owner selects the confirmation instruction, the self-starting instruction is sent to a self-starting module of the vehicle; when the owner selects the cancel instruction, the vehicle is not operated.
Further, the vehicle state index sequence is used for respectively linking the vehicle state with a vehicle flameout electricity database, a vehicle startup non-running electricity database, a vehicle running electricity database and a vehicle auxiliary module electricity database.
The invention has the beneficial effects that: by arranging the data acquisition module, the state of the vehicle and the duration of the vehicle in each state are acquired, then the data analysis module analyzes the electric quantity using condition of the vehicle according to the vehicle running data obtained by the data acquisition module, when the electric quantity of the vehicle is insufficient, early warning information can be generated in advance, then the analysis result of the data analysis module is further processed by the early warning module, the vehicle position and the vehicle owner position are positioned by the positioning unit in the early warning module, and obtaining the distance between the two, when the distance between the two exceeds the set human-vehicle distance threshold value, generating self-starting request information, enabling the vehicle owner to execute a confirmation instruction and a cancellation instruction on the obtained self-starting request information through the mobile phone terminal according to the self-starting request information, and sending a self-starting instruction to a self-starting module of the vehicle when the vehicle owner selects the confirmation instruction; when the owner selects the cancel instruction, then do not carry out any operation to the vehicle, then the self-starting module starts the engine of vehicle according to the self-starting instruction that receives to charge through the storage battery of engine in to the vehicle, avoid because the storage battery electric quantity of vehicle is not enough, the condition that leads to the unable normal start-up of vehicle takes place.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a functional block diagram of a big data based vehicle evaluation system.
Detailed Description
As shown in fig. 1, a vehicle evaluation system based on big data comprises a monitoring center, wherein the monitoring center is in communication connection with a database, a data acquisition module, a data analysis module, an early warning module and a self-starting module;
in the specific implementation process, the owner can import own basic information to the monitoring center, wherein the basic information of the owner comprises name, gender, age, the mobile phone number authenticated by the real name and the MAC address of the mobile phone terminal using the mobile phone number authenticated by the real name;
the database establishment process comprises the following steps:
step S1: establishing a database according to the vehicle model, and setting a vehicle flameout electricity utilization database, a vehicle starting non-running electricity utilization database, a vehicle running electricity utilization database and a vehicle auxiliary module electricity utilization database in the database, wherein the vehicle auxiliary module comprises an air conditioner, light and a central control unit;
step S2: importing the power consumption coefficient of the vehicle in a flameout state into a vehicle flameout power consumption database, and marking the power consumption coefficient as XH/h; importing a power consumption coefficient in a vehicle starting non-running state into a vehicle starting non-running power consumption database, and marking the power consumption coefficient as WH/h; importing a power consumption coefficient in a vehicle running state into a vehicle running power consumption database, and marking the power consumption coefficient as SH/h; importing a power consumption coefficient when the auxiliary module is used into a vehicle auxiliary module power consumption database, and marking the power consumption coefficient as FH/h;
step S3: and establishing a vehicle state index sequence, and binding the vehicle state index sequence with a database.
The data acquisition module is used for acquiring vehicle operation data, and the specific acquisition process comprises the following steps:
step C1: the method comprises the steps of obtaining the state of a vehicle, wherein the state of the vehicle comprises a flameout state, a starting non-driving state and a driving state, and respectively linking the state of the vehicle with a vehicle flameout electronic database, a vehicle starting non-driving electronic database, a vehicle driving electronic database and a vehicle auxiliary module electronic database through a vehicle state index sequence;
step C2: when the vehicle is in a flameout state, acquiring the duration T1 of the vehicle in the flameout state; when the vehicle is in a starting non-driving state, acquiring the duration T2 of the vehicle in the starting non-driving state; when the vehicle is in a running state, acquiring the duration T3 of the running state of the vehicle;
step C3: respectively acquiring the service time of the vehicle auxiliary module in each state of the vehicle, and respectively marking as T11, T21 and T31;
step C4: and uploading the data acquired in the steps C1-C3 to a data analysis module.
The data analysis module is used for analyzing the vehicle operation data acquired by the data acquisition module, and the specific analysis process comprises the following steps:
step F1: obtaining the vehicle electric quantity loss amount through a formula DS (T1 multiplied by XH/h + T2 multiplied by WH/h + T3 multiplied by SH/h + (T11+ T21+ T31) multiplied by FH/h;
step F2: setting a minimum starting electric quantity threshold value of the vehicle and marking as DQ;
step F3: obtaining a vehicle start coefficient QX by a formula QX ═ DZ-DS)/DQ; wherein DZ is the initial total electric quantity of the vehicle;
step F4: when QX is larger than 1, judging that the electric quantity of the vehicle is sufficient, and not executing operation; and when the QX is less than or equal to 1, judging that the electric quantity of the vehicle is insufficient, generating early warning information and sending the early warning information to an early warning module.
The early warning module comprises a positioning unit and a wireless transmission unit, and the working process of the early warning module specifically comprises the following steps:
step Y1: obtaining the position of the vehicle through a positioning unit;
step Y2: acquiring the MAC address of the mobile phone terminal of the vehicle owner, and acquiring the position of the mobile phone of the vehicle owner through the MAC address of the mobile phone terminal of the vehicle owner;
step Y3: calculating the distance between the vehicle and the mobile phone according to the obtained position of the vehicle and the position of the mobile phone, and marking the distance as LJ;
step Y4: setting a human-vehicle distance threshold range [0, L0), and when the LJ is within the human-vehicle distance threshold range [0, L0), sending the early warning information to the mobile phone terminal of the vehicle owner through the wireless transmission unit by the early warning module; and when the LJ is larger than or equal to the L0, generating self-starting request information, and simultaneously transmitting the self-starting request information and the early warning information to the vehicle owner mobile phone terminal through the wireless transmission unit.
In the specific implementation process, it needs to be further explained that when the owner receives the self-starting request information, the confirmation instruction and the cancellation instruction can be executed on the obtained self-starting request information through the mobile phone terminal, and when the owner selects the confirmation instruction, the self-starting instruction is sent to the self-starting module of the vehicle; when the owner selects the cancel instruction, the vehicle is not operated.
The self-starting module is used for starting an engine of the vehicle according to the received self-starting instruction, so that a storage battery in the vehicle is charged through the engine, and the situation that the vehicle cannot be started normally due to insufficient electric quantity of the storage battery of the vehicle is avoided.
In the embodiments provided by the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and there may be other divisions when the actual implementation is performed; the modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the method of the embodiment.
Finally, it should be noted that the above examples are only intended to illustrate the technical process of the present invention and not to limit the same, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made to the technical process of the present invention without departing from the spirit and scope of the technical process of the present invention.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111087614.4A CN113741318A (en) | 2021-09-16 | 2021-09-16 | Vehicle evaluation system based on big data |
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| CN202111087614.4A CN113741318A (en) | 2021-09-16 | 2021-09-16 | Vehicle evaluation system based on big data |
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005047342A (en) * | 2003-07-31 | 2005-02-24 | Fujitsu Ten Ltd | Vehicle control device and vehicle control system |
| JP2006327487A (en) * | 2005-05-27 | 2006-12-07 | Fujitsu Ten Ltd | Vehicle control device and method |
| US20110276818A1 (en) * | 2010-05-10 | 2011-11-10 | Pfu Limited | Power consumption quantity estimation system |
| CN105514511A (en) * | 2015-11-24 | 2016-04-20 | 大连楼兰科技股份有限公司 | Method and device for automatically keeping electric quantity of vehicle storage battery |
| CN105897809A (en) * | 2015-01-26 | 2016-08-24 | 陕西汽车集团有限责任公司 | Vehicle interconnected control and data service system based on intelligent terminal |
| CN209496116U (en) * | 2018-12-04 | 2019-10-15 | 浙江吉利汽车研究院有限公司 | A kind of Vehicular accumulator cell electricity prior-warning device |
| CN111634246A (en) * | 2020-05-14 | 2020-09-08 | 东风汽车集团有限公司 | A system and method for early warning processing of vehicle battery low power |
-
2021
- 2021-09-16 CN CN202111087614.4A patent/CN113741318A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005047342A (en) * | 2003-07-31 | 2005-02-24 | Fujitsu Ten Ltd | Vehicle control device and vehicle control system |
| JP2006327487A (en) * | 2005-05-27 | 2006-12-07 | Fujitsu Ten Ltd | Vehicle control device and method |
| US20110276818A1 (en) * | 2010-05-10 | 2011-11-10 | Pfu Limited | Power consumption quantity estimation system |
| CN105897809A (en) * | 2015-01-26 | 2016-08-24 | 陕西汽车集团有限责任公司 | Vehicle interconnected control and data service system based on intelligent terminal |
| CN105514511A (en) * | 2015-11-24 | 2016-04-20 | 大连楼兰科技股份有限公司 | Method and device for automatically keeping electric quantity of vehicle storage battery |
| CN209496116U (en) * | 2018-12-04 | 2019-10-15 | 浙江吉利汽车研究院有限公司 | A kind of Vehicular accumulator cell electricity prior-warning device |
| CN111634246A (en) * | 2020-05-14 | 2020-09-08 | 东风汽车集团有限公司 | A system and method for early warning processing of vehicle battery low power |
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