CN108082034A - A kind of car bulb control method and device based on big data - Google Patents
A kind of car bulb control method and device based on big data Download PDFInfo
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- CN108082034A CN108082034A CN201711378702.3A CN201711378702A CN108082034A CN 108082034 A CN108082034 A CN 108082034A CN 201711378702 A CN201711378702 A CN 201711378702A CN 108082034 A CN108082034 A CN 108082034A
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- light
- geographical location
- probability
- dipped beam
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
- B60Q1/00—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor
- B60Q1/02—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments
- B60Q1/04—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights
- B60Q1/14—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights having dimming means
- B60Q1/1415—Dimming circuits
- B60Q1/1423—Automatic dimming circuits, i.e. switching between high beam and low beam due to change of ambient light or light level in road traffic
- B60Q1/143—Automatic dimming circuits, i.e. switching between high beam and low beam due to change of ambient light or light level in road traffic combined with another condition, e.g. using vehicle recognition from camera images or activation of wipers
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Circuit Arrangement For Electric Light Sources In General (AREA)
Abstract
Disclosing a kind of lights of vehicle autocontrol method based on big data and device, method includes：The sample data that the given user's sample collected in advance generates in driving process is obtained, the path data and the path data using dipped beam that the sample data includes the use of distance light；Based on the sample data, counting user the group probability using distance light and probability using dipped beam on each geographical location；According to the probability counted, the light type that should be used in each geographical location is determined, the light type is dipped beam or distance light；Based on the light type that should be used in each geographical location determined, the light operating mode of moving traffic is automatically switched.
Description
Technical field
The present invention relates to lighting technical field more particularly to a kind of car bulb control methods and dress based on big data
It puts.
Background technology
Lighting device is widely used in the numerous areas such as the production and living of people, is essential instrument in life.
Under many real-world environments, illuminating position plays an important role to quality of life and security etc..
For example, the transport facilitys such as automobile need lighting device to ensure traveling peace in the case where night or light are weaker
Entirely.By taking automobile as an example, traditional automobile long-and-short distant light switching switch has poke-rod type, push button etc., is both needed to grasp manually in switching
Make, certain trouble is brought to driver in the case where needing the complex road condition of frequent switching long-and-short distant light.
The content of the invention
It is an object of the invention to provide a kind of car bulb control method and device based on big data.
To achieve the above object, the present invention provides following technical solution：
On the one hand, a kind of lights of vehicle autocontrol method based on big data provided can include：
Obtain the sample data that the given user's sample collected in advance generates in driving process, the sample data bag
Include the path data using distance light and the path data using dipped beam；
Based on the sample data, counting user group uses the probability of distance light on each geographical location and uses dipped beam
Probability；
According to the probability counted, the light type that should be used in each geographical location is determined, the light type is
Dipped beam or distance light；
Based on the light type that should be used in each geographical location determined, to the light work of moving traffic
Operation mode is automatically switched.
On the other hand, a kind of automatic vehicle light control device based on big data provided can include：
Data capture unit, for obtaining the sample number that the given user's sample collected in advance generates in driving process
According to the path data and the path data using dipped beam that the sample data includes the use of distance light；
Statistic unit, for being based on the sample data, counting user group uses distance light on each geographical location
Probability and the probability using dipped beam；
Determination unit, for according to the probability counted, determining the light type that should be used in each geographical location, institute
Light type is stated as dipped beam or distance light；
Automatic control unit, for based on the light type that should be used in each geographical location determined, to
The light operating mode of the vehicle of traveling is automatically switched.
Compared with prior art, the advantage of the invention is that：
It is being counted according to big data as a result, the switching of nearly high beam mode is carried out to car bulb automatically, and do not have to
Driver goes artificially to trigger, and promotes security.
Description of the drawings
It in order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments described in invention, for those of ordinary skill in the art, without creative efforts,
It can also be obtained according to these attached drawings other attached drawings.
Fig. 1 is a kind of flow chart of car bulb control method based on big data in the specific embodiment of the invention.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, detailed retouch is carried out to the technical solution in the embodiment of the present invention
It states, it is clear that described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.Based on the present invention
In embodiment, the every other implementation that those of ordinary skill in the art are obtained on the premise of creative work is not made
Example, belongs to the scope of protection of the invention.
As shown in Figure 1, in one embodiment, a kind of lights of vehicle autocontrol method based on big data can include
Following steps 201~204, wherein：
Step 201：The sample data that the given user's sample collected in advance generates in driving process is obtained, wherein,
The path data and the path data using dipped beam that the sample data includes the use of distance light；
It wherein, can be with installation data harvester, to gather above-mentioned data and be transmitted to root on the automobile of user
The application server counted according to data.
Step 202：Based on the sample data, counting user group on each geographical location using distance light probability and
Use the probability of dipped beam；
Step 203：According to the probability counted, the light type that should be used in each geographical location, wherein institute are determined
Light type is stated as dipped beam or distance light；
In an optional embodiment, which can specifically include：
For specific geographical location, when counting probability and use of the user group using distance light on the geographical location
The ratio between probability of dipped beam is more than predetermined value (such as：Predetermined value=2) when, the light type for determining to use in the geographical location is
Distance light；Otherwise, it determines the light type that should be used in the geographical location is dipped beam.For example, for geographic certain bridge
One end, it is 70% using the probability of distance light to count user group in this position, the use of the probability of dipped beam is 29%, also has minority
User is without using light.Then determine that the position should use distance light.Certainly it is same, it is necessary to consider the travel direction that user drives
Still if different travel directions, the lamp light mode of required unlatching also can be different in geographical location.
Step 204：Based on the light type that should be used in each geographical location determined, to moving traffic
Light operating mode automatically switched.
Optionally, step 204 can specifically include：
Step 241：It will determine that the light categorical data that should be used in each geographical location writes lights of vehicle controller,
The lights of vehicle controller can communicate with application server, and application server can be navigation application server etc.；
Step 242：Lights of vehicle controller obtains the geographical location of vehicle process (such as in real time：GPS positioning obtains)；
Step 243：Lights of vehicle is automatically switched to the geographical location with getting in real time by lights of vehicle controller
Corresponding light type.
Optionally, step 204 can include：
In predetermined light usage time interval (such as：18:00PM~7:In 00AM), based on determining each
The light type that reason position should use, automatically switches the light operating mode of moving traffic.
Correspondingly, corresponding with the above method, the embodiment of the present invention also provides a kind of lights of vehicle based on big data certainly
Dynamic control device, including：
Data capture unit, for obtaining the sample number that the given user's sample collected in advance generates in driving process
According to the path data and the path data using dipped beam that the sample data includes the use of distance light；
Statistic unit, for being based on the sample data, counting user group uses distance light on each geographical location
Probability and the probability using dipped beam；
Determination unit, for according to the probability counted, determining the light type that should be used in each geographical location, institute
Light type is stated as dipped beam or distance light；
Automatic control unit, for based on the light type that should be used in each geographical location determined, to
The light operating mode of the vehicle of traveling is automatically switched.
Optionally, the determination unit is specifically used for：
For specific geographical location, when counting probability and use of the user group using distance light on the geographical location
When the ratio between probability of dipped beam is more than predetermined value, it is distance light to determine the light type that should be used in the geographical location；
Otherwise, it determines the light type that should be used in the geographical location is dipped beam.
Optionally, automatic control unit includes：
Writing unit, for that will determine that the light categorical data that should be used in each geographical location write-in Vehicle lamp is light-operated
Device processed；
Position acquisition unit, for obtaining the geographical location of vehicle process in real time；
Switch unit, for lights of vehicle to be automatically switched to light corresponding with the geographical location got in real time
Type.
Optionally, automatic control unit is specifically used for：
In predetermined light usage time interval, based on the light that should be used in each geographical location determined
Type automatically switches the light operating mode of moving traffic.
To sum up, the present invention can be according to big data statistics as a result, to carry out nearly high beam mode to car bulb automatically
Switching, and go artificially to trigger without driver, promote security.
Each embodiment in this specification is described by the way of progressive, identical similar portion between each embodiment
Point just to refer each other, and the highlights of each of the examples are difference from other examples.It is real especially for device
For applying example, apparatus embodiments, storage medium embodiment, since it is substantially similar to embodiment of the method, so the comparison of description
Simply, the relevent part can refer to the partial explaination of embodiments of method.
System, device, module or the unit that above-described embodiment illustrates can specifically realize by computer chip or entity,
Or it is realized by having the function of certain product.A kind of typical realization equipment is computer, and the concrete form of computer can
To be personal computer, laptop computer, cellular phone, camera phone, smart phone, personal digital assistant, media play
In device, navigation equipment, E-mail receiver/send equipment, game console, tablet computer, wearable device or these equipment
The combination of arbitrary several equipment.
For convenience of description, it is divided into various units during description apparatus above with function to describe respectively.Certainly, this is being implemented
The function of each unit is realized can in the same or multiple software and or hardware during application.
It should be understood by those skilled in the art that, the embodiment of the present invention can be provided as method, system or computer program
Product.Therefore, the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware can be used in the present invention
Apply the form of example.Moreover, the computer for wherein including computer usable program code in one or more can be used in the present invention
The computer program production that usable storage medium is implemented on (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
The present invention be with reference to according to the method for the embodiment of the present invention, the flow of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that it can be realized by computer program instructions every first-class in flowchart and/or the block diagram
The combination of flow and/or box in journey and/or box and flowchart and/or the block diagram.These computer programs can be provided
The processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that the instruction performed by computer or the processor of other programmable data processing devices is generated for real
The device for the function of being specified in present one flow of flow chart or one box of multiple flows and/or block diagram or multiple boxes.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction generation being stored in the computer-readable memory includes referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or
The function of being specified in multiple boxes.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted
Series of operation steps is performed on calculation machine or other programmable devices to generate computer implemented processing, so as in computer or
The instruction offer performed on other programmable devices is used to implement in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a box or multiple boxes.
In a typical configuration, computing device includes one or more processors (CPU), input/output interface, net
Network interface and memory.
Memory may include computer-readable medium in volatile memory, random access memory (RAM) and/or
The forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable medium
Example.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology come realize information store.Information can be computer-readable instruction, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase transition internal memory (PRAM), static RAM (SRAM), moves
State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable
Programmable read only memory (EEPROM), fast flash memory bank or other memory techniques, read-only optical disc read-only memory (CD-ROM),
Digital versatile disc (DVD) or other optical storages, magnetic tape cassette, the storage of tape magnetic rigid disk or other magnetic storage apparatus
Or any other non-transmission medium, the information that can be accessed by a computing device available for storage.It defines, calculates according to herein
Machine readable medium does not include temporary computer readable media (transitory media), such as data-signal and carrier wave of modulation.
It should also be noted that, term " comprising ", "comprising" or its any other variant are intended to nonexcludability
Comprising so that process, method, commodity or equipment including a series of elements are not only including those elements, but also wrap
Include other elements that are not explicitly listed or further include for this process, method, commodity or equipment it is intrinsic will
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that wanted including described
Also there are other identical elements in the process of element, method, commodity or equipment.
It will be understood by those skilled in the art that embodiments herein can be provided as method, system or computer program product.
Therefore, complete hardware embodiment, complete software embodiment or the embodiment in terms of combining software and hardware can be used in the application
Form.It is deposited moreover, the application can be used to can use in one or more computers for wherein including computer usable program code
The shape for the computer program product that storage media is implemented on (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
Formula.
The application can be described in the general context of computer executable instructions, such as program
Module.Usually, program module includes routines performing specific tasks or implementing specific abstract data types, program, object, group
Part, data structure etc..The application can also be put into practice in a distributed computing environment, in these distributed computing environment, by
Task is performed and connected remote processing devices by communication network.In a distributed computing environment, program module can be with
In the local and remote computer storage media including storage device.
The foregoing is merely embodiments herein, are not limited to the application.For those skilled in the art
For, the application can have various modifications and variations.All any modifications made within spirit herein and principle are equal
Replace, improve etc., it should be included within the scope of claims hereof.
Claims (8)
1. a kind of lights of vehicle autocontrol method based on big data, which is characterized in that including：
The sample data that the given user's sample collected in advance generates in driving process is obtained, the sample data includes making
Path data with distance light and the path data using dipped beam；
Based on the sample data, counting user group uses the probability of distance light on each geographical location and using the general of dipped beam
Rate；
According to the probability counted, the light type that should be used in each geographical location is determined, the light type is dipped beam
Or distance light；
Based on the light type that should be used in each geographical location determined, to the light Working mould of moving traffic
Formula is automatically switched.
2. according to the method described in claim 1, it is characterized in that, the probability that the basis counts, determines in each geography
The light type that position should use, including：
For specific geographical location, when counting user group on the geographical location using the probability of distance light and using dipped beam
The ratio between probability when being more than predetermined value, it is distance light to determine the light type that should be used in the geographical location；Otherwise, it determines at this
The light type that geographical location should use is dipped beam.
3. according to the method described in claim 1, it is characterized in that, described should be made in each geographical location based on determining
Light type automatically switches the light operating mode of moving traffic, including：
It will determine that the light categorical data that should be used in each geographical location writes lights of vehicle controller；
Lights of vehicle controller obtains the geographical location of vehicle process in real time；
Lights of vehicle is automatically switched to light class corresponding with the geographical location got in real time by lights of vehicle controller
Type.
4. according to the method described in claim 1, it is characterized in that, described should be made in each geographical location based on determining
Light type automatically switches the light operating mode of moving traffic, including：
In predetermined light usage time interval, based on the light class that should be used in each geographical location determined
Type automatically switches the light operating mode of moving traffic.
5. a kind of automatic vehicle light control device based on big data, which is characterized in that including：
Data capture unit, for obtaining the sample data that the given user's sample collected in advance generates in driving process,
The path data and the path data using dipped beam that the sample data includes the use of distance light；
Statistic unit, for being based on the sample data, counting user group uses the probability of distance light on each geographical location
With the probability for using dipped beam；
Determination unit, for according to the probability counted, determining the light type that should be used in each geographical location, the lamp
Light type is dipped beam or distance light；
Automatic control unit, for based on the light type that should be used in each geographical location determined, to travelling
The light operating mode of vehicle automatically switched.
6. device according to claim 5, which is characterized in that the determination unit is specifically used for：
For specific geographical location, when counting user group on the geographical location using the probability of distance light and using dipped beam
The ratio between probability when being more than predetermined value, it is distance light to determine the light type that should be used in the geographical location；
Otherwise, it determines the light type that should be used in the geographical location is dipped beam.
7. device according to claim 5, which is characterized in that the automatic control unit includes：
Writing unit, for that will determine the light categorical data that should be used in each geographical location write-in lights of vehicle control
Device；
Position acquisition unit, for obtaining the geographical location of vehicle process in real time；
Switch unit, for lights of vehicle to be automatically switched to light class corresponding with the geographical location got in real time
Type.
8. device according to claim 5, which is characterized in that the automatic control unit is specifically used for：
In predetermined light usage time interval, based on the light class that should be used in each geographical location determined
Type automatically switches the light operating mode of moving traffic.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711378702.3A CN108082034A (en) | 2017-12-19 | 2017-12-19 | A kind of car bulb control method and device based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711378702.3A CN108082034A (en) | 2017-12-19 | 2017-12-19 | A kind of car bulb control method and device based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108082034A true CN108082034A (en) | 2018-05-29 |
Family
ID=62177445
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711378702.3A Withdrawn CN108082034A (en) | 2017-12-19 | 2017-12-19 | A kind of car bulb control method and device based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108082034A (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106314256A (en) * | 2015-06-17 | 2017-01-11 | 比亚迪股份有限公司 | Automobile lighting control method, device and system |
| CN107323379A (en) * | 2017-06-30 | 2017-11-07 | 百度在线网络技术（北京）有限公司 | Control method for vehicle, device, equipment and storage medium |
| CN107331179A (en) * | 2017-05-27 | 2017-11-07 | 东风商用车有限公司 | A kind of economy drive assist system and implementation method based on big data cloud platform |
-
2017
- 2017-12-19 CN CN201711378702.3A patent/CN108082034A/en not_active Withdrawn
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106314256A (en) * | 2015-06-17 | 2017-01-11 | 比亚迪股份有限公司 | Automobile lighting control method, device and system |
| CN107331179A (en) * | 2017-05-27 | 2017-11-07 | 东风商用车有限公司 | A kind of economy drive assist system and implementation method based on big data cloud platform |
| CN107323379A (en) * | 2017-06-30 | 2017-11-07 | 百度在线网络技术（北京）有限公司 | Control method for vehicle, device, equipment and storage medium |
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| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20180529 |
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