CN112776761A - Car washing method and device based on big data - Google Patents
Car washing method and device based on big data Download PDFInfo
- Publication number
- CN112776761A CN112776761A CN202110170112.1A CN202110170112A CN112776761A CN 112776761 A CN112776761 A CN 112776761A CN 202110170112 A CN202110170112 A CN 202110170112A CN 112776761 A CN112776761 A CN 112776761A
- Authority
- CN
- China
- Prior art keywords
- car
- vehicle
- washed
- washing
- car washing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60S—SERVICING, CLEANING, REPAIRING, SUPPORTING, LIFTING, OR MANOEUVRING OF VEHICLES, NOT OTHERWISE PROVIDED FOR
- B60S3/00—Vehicle cleaning apparatus not integral with vehicles
- B60S3/04—Vehicle cleaning apparatus not integral with vehicles for exteriors of land vehicles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F17/00—Coin-freed apparatus for hiring articles; Coin-freed facilities or services
- G07F17/20—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for washing or drying articles, e.g. clothes, motor cars
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Mechanical Engineering (AREA)
- Vehicle Cleaning, Maintenance, Repair, Refitting, And Outriggers (AREA)
Abstract
The invention discloses a car washing method and device based on big data, relating to the field of car washing and comprising the following steps: acquiring the car washing time and the car washing water consumption of various previous car types; generating a car washing parameter recommendation list corresponding to each type of car based on the car washing time and the car washing water consumption of each type of car in the past; acquiring a photo of a car to be washed; responding to the photo of the car to be washed, and judging the car type of the car to be washed; and responding to the vehicle type of the vehicle to be washed, automatically matching a vehicle washing parameter recommendation list matched with the vehicle to be washed, so that the automatic vehicle washing machine can carry out vehicle washing operation on the vehicle to be washed according to the vehicle washing parameter recommendation list matched with the vehicle to be washed.
Description
Technical Field
The invention relates to the field of vehicle cleaning, in particular to a vehicle cleaning method and device based on big data.
Background
At present, users who drive cars are basically used to washing cars by using automatic car washers, which are machines that automatically wash, wax, air-dry and wash rims and the like by setting relevant programs through computers. The automatic car washer is divided into: non-contact type automatic car washer and brush type full-automatic car washer.
However, the current automatic car washing mode is single, car washing parameters in the car washing process, such as car washing duration and car washing water consumption, are experience values, and are uniform car washing modes for each car to be washed, the car washing operation lacks scientific basis, and the intelligent automation degree is low.
Disclosure of Invention
The invention mainly aims to provide a car washing method and device based on big data to solve the problems.
In order to achieve the purpose, the invention provides a car washing method based on big data, which comprises the following steps:
acquiring the car washing time and the car washing water consumption of various previous car types;
generating a car washing parameter recommendation list corresponding to each type of car based on the car washing time and the car washing water consumption of each type of car in the past;
acquiring a photo of a car to be washed;
responding to the photo of the car to be washed, and judging the car type of the car to be washed;
and responding to the vehicle type of the vehicle to be washed, automatically matching a vehicle washing parameter recommendation list matched with the vehicle to be washed, so that the automatic vehicle washing machine can carry out vehicle washing operation on the vehicle to be washed according to the vehicle washing parameter recommendation list matched with the vehicle to be washed.
Optionally, the method further comprises: and responding to the situation that the vehicle to be washed does not enter the preset position, and sending prompt information to the intelligent terminal of the vehicle owner corresponding to the vehicle to be washed.
Optionally, the method further comprises: and displaying the picture of the car washing operation in real time.
Optionally, the method further comprises: and counting the number of times of washing the vehicle to be washed, and sending the information of the number of times of washing the vehicle to the intelligent terminal of the vehicle owner.
The invention provides a car washing device based on big data, which comprises:
the first acquisition module is used for acquiring the car washing time and the car washing water consumption of various previous car types;
the generating module is used for generating car washing parameter recommendation lists corresponding to various car types respectively based on the car washing duration and the car washing water consumption of the various previous car types;
the second acquisition module is used for acquiring a photo of the car to be washed;
the judging module is used for responding to the photo of the car to be washed and judging the car type of the car to be washed;
and the pairing module is used for responding to the vehicle type of the vehicle to be washed, automatically pairing the vehicle washing parameter recommendation list matched with the vehicle to be washed, so that the automatic vehicle washing machine can carry out vehicle washing operation on the vehicle to be washed according to the vehicle washing parameter recommendation list matched with the vehicle to be washed.
Optionally, the method further comprises: and the detection module is used for detecting whether the car to be washed enters a preset position before the photo of the car to be washed is acquired.
Optionally, the method further comprises: and the second sending module is used for responding to the situation that the vehicle to be washed does not enter the preset position and sending prompt information to the intelligent terminal of the vehicle owner corresponding to the vehicle to be washed.
Optionally, the method further comprises: and the display module is used for displaying the picture of the car washing operation in real time.
Optionally, the method further comprises: the counting module is used for counting the number of times of car washing of the car to be washed, and the second sending module is further used for sending the information of the number of times of car washing to the intelligent terminal of the car owner.
Drawings
FIG. 1 is a schematic flow chart of an embodiment of a big data-based car washing method according to the present invention;
fig. 2 is a functional block diagram of an embodiment of a big data-based car washing device according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, the present disclosure provides a big data based car washing method, comprising the steps of:
s10, obtaining car washing time and car washing water consumption of various previous car types;
s20, generating car washing parameter recommendation lists corresponding to the various car types respectively based on the car washing duration and the car washing water consumption of the various previous car types;
s30, obtaining a photo of the car to be washed;
s40, responding to the photo of the vehicle to be washed, and judging the vehicle type of the vehicle to be washed;
and S50, responding to the vehicle type of the vehicle to be washed, automatically matching a washing parameter recommendation list matched with the vehicle to be washed, so that the automatic vehicle washing machine can carry out vehicle washing operation on the vehicle to be washed according to the washing parameter recommendation list matched with the vehicle to be washed.
For example, the server collects car washing time and car washing water consumption of various previous car types on the car washer, for example, the car washing time of some galloping cars is A1 minutes, and the water consumption is B1 liters; some galloping cars wash for A2 minutes, the water consumption is B2 liters, and the like; some BYD cars are washed for C1 min and the water consumption is D1L, some BYD cars are washed for C2 min and the water consumption is D2L, and the like.
The server can generate a vehicle washing parameter recommendation list corresponding to each vehicle type based on the vehicle washing time and the vehicle washing water consumption of each vehicle type, and the vehicle washing time and the recommended vehicle washing water consumption recommended by each vehicle type are contained in the list.
The camera can acquire the photo of treating the carwash in real time to the photo of treating the carwash sends the server to, and the camera can be a plurality of, in order to acquire comparatively comprehensive car wash photo.
The camera and the server are connected via a network, which may be a single network or a combination of at least two different networks. For example, the network may include, but is not limited to, one or a combination of local area networks, wide area networks, public networks, private networks, and the like.
Various vehicle types are prestored in the server, and the vehicle type of the vehicle to be washed can be judged according to the picture of the vehicle to be washed, for example, the vehicle mark of the vehicle to be washed is an Audi vehicle mark, so that the server can judge the Biddie vehicle to be washed.
The server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, and can also be a cloud server for providing basic cloud computing services such as cloud service, a cloud database, cloud computing, cloud functions, cloud storage, network service, cloud communication, middleware service, domain name service, security service, CDN, big data and artificial intelligence platform and the like. Optionally, the server undertakes the primary computational discrimination work.
When the server judges that the car to be washed is the BYD car, the car washing parameter recommendation list matched with the BYD car is automatically paired, the server sends the car washing parameter recommendation list matched with the BYD car to the automatic car washer, and after the controller of the automatic car washer receives the car washing parameter recommendation list matched with the BYD car and sent by the server, the spray head is started to wash the BYD car.
According to the car washing method based on the big data, the car washing time and the car washing water consumption which are optimized by various car types are counted based on the big data, and then other cars are washed after the car washing parameter recommendation lists corresponding to the various car types are generated, so that the situation that the washing time and the washing water consumption are selected manually is avoided, a high data reference basis is provided, the car washing time and the washing water consumption can be at least saved, a reference basis is provided for the washing of other cars, and the operation is intelligent.
Further, in this embodiment, before the obtaining the photo of the car to be washed, the method further includes: and detecting whether the vehicle to be washed enters a preset position. And responding to the situation that the vehicle to be washed does not enter the preset position, and sending prompt information to the intelligent terminal of the vehicle owner corresponding to the vehicle to be washed.
The intelligent terminal and the server are connected through a network, which may be a single network or a combination of at least two different networks. For example, the network may include, but is not limited to, one or a combination of local area networks, wide area networks, public networks, private networks, and the like.
For example, a vehicle position detection module may be installed in the car washing area, for example, infrared detection or geomagnetic detection is performed to determine whether a vehicle enters the car washing area, and when the vehicle does not enter the car washing area, the prompt message may be sent to a mobile phone of the car owner or a vehicle-mounted computer, for example, a prompt short message may be sent to the mobile phone of the car owner, so that the car owner may correct the driving position of the car.
Further, in this embodiment, the screen of the car washing operation may be displayed in real time. For example, a large display screen can be installed next to the automatic car washer, through which the washing process is displayed all the way for the staff of the car washer to watch and monitor. The car washing process can also be displayed on the intelligent terminal (such as a mobile phone) of the corresponding car owner so as to be watched by the car owner. The camera is required to be installed inside the car washer to acquire a scene picture inside the car washer, and the scene picture inside the car washer is sent to a display screen arranged beside the automatic car washer or an intelligent terminal of a car owner.
Further, in this embodiment, the number of times of car washing of this waiting to wash car can also be counted, and this number of times of car washing information is sent to this car owner's intelligent terminal. For example, the server automatically counts the number of times of car washing and the time of car washing of waiting to wash the car, and sends information such as the number of times of car washing to this car owner's intelligent terminal to supply car owner to know the record of car washing of oneself, the server can also be judging the interval time of car owner's car washing too long, sends the suggestion message in order to remind the car owner that the car owner needs the car washing to the intelligent terminal of car owner.
As shown in fig. 2, the present disclosure also provides a big data-based car washing apparatus, where the big data-based car washing apparatus according to the embodiment of the present disclosure is used to execute the above big data-based car washing method, and the big data-based car washing apparatus may be implemented by software, hardware, or a combination of software and hardware.
This car washing device based on big data includes:
the first acquisition module is used for acquiring the car washing time and the car washing water consumption of various previous car types;
the generating module is used for generating car washing parameter recommendation lists corresponding to various car types respectively based on the car washing duration and the car washing water consumption of the various previous car types;
the second acquisition module is used for acquiring a photo of the car to be washed;
the judging module is used for responding to the photo of the car to be washed and judging the car type of the car to be washed;
and the pairing module is used for responding to the vehicle type of the vehicle to be washed, automatically pairing the vehicle washing parameter recommendation list matched with the vehicle to be washed, so that the automatic vehicle washing machine can carry out vehicle washing operation on the vehicle to be washed according to the vehicle washing parameter recommendation list matched with the vehicle to be washed.
Further comprising: and the detection module is used for detecting whether the car to be washed enters a preset position before the photo of the car to be washed is acquired.
Further comprising: and the second sending module is used for responding to the situation that the vehicle to be washed does not enter the preset position and sending prompt information to the intelligent terminal of the vehicle owner corresponding to the vehicle to be washed.
Further comprising: and the display module is used for displaying the picture of the car washing operation in real time.
Further comprising: a counting module for counting the number of times of washing the vehicle to be washed,
the second sending module is further used for sending the car washing frequency information to the intelligent terminal of the car owner.
The car washing device based on big data in the embodiment of the disclosure can be used for executing the technical scheme of the method embodiment shown above, and the implementation principle and the technical effect are similar, and are not described herein again.
At least one step of the method of this embodiment is implemented in the form of a software functional module and may be stored in a computer readable storage medium when being sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A car washing method based on big data is characterized by comprising the following steps:
acquiring the car washing time and the car washing water consumption of various previous car types;
generating a car washing parameter recommendation list corresponding to each type of car based on the car washing time and the car washing water consumption of each type of car in the past;
acquiring a photo of a car to be washed;
responding to the photo of the car to be washed, and judging the car type of the car to be washed;
and responding to the vehicle type of the vehicle to be washed, automatically matching a vehicle washing parameter recommendation list matched with the vehicle to be washed, so that the automatic vehicle washing machine can carry out vehicle washing operation on the vehicle to be washed according to the vehicle washing parameter recommendation list matched with the vehicle to be washed.
2. The big data-based car washing method according to claim 1, wherein before the obtaining of the picture of the car to be washed, the method further comprises: and detecting whether the vehicle to be washed enters a preset position.
3. The big-data-based car washing method according to claim 2, further comprising:
and responding to the situation that the vehicle to be washed does not enter the preset position, and sending prompt information to the intelligent terminal of the vehicle owner corresponding to the vehicle to be washed.
4. The big-data-based car washing method according to claim 3, further comprising:
and displaying the picture of the car washing operation in real time.
5. The big-data-based car washing method according to any one of claims 3, further comprising:
and counting the number of times of washing the vehicle to be washed, and sending the information of the number of times of washing the vehicle to the intelligent terminal of the vehicle owner.
6. A car wash device based on big data, characterized by comprising:
the first acquisition module is used for acquiring the car washing time and the car washing water consumption of various previous car types;
the generating module is used for generating car washing parameter recommendation lists corresponding to various car types respectively based on the car washing duration and the car washing water consumption of the various previous car types;
the second acquisition module is used for acquiring a photo of the car to be washed;
the judging module is used for responding to the photo of the car to be washed and judging the car type of the car to be washed;
and the pairing module is used for responding to the vehicle type of the vehicle to be washed, automatically pairing the vehicle washing parameter recommendation list matched with the vehicle to be washed, so that the automatic vehicle washing machine can carry out vehicle washing operation on the vehicle to be washed according to the vehicle washing parameter recommendation list matched with the vehicle to be washed.
7. The big-data based car wash according to claim 6, further comprising:
and the detection module is used for detecting whether the car to be washed enters a preset position before the photo of the car to be washed is acquired.
8. The big-data based car wash according to claim 7, further comprising:
and the second sending module is used for responding to the situation that the vehicle to be washed does not enter the preset position and sending prompt information to the intelligent terminal of the vehicle owner corresponding to the vehicle to be washed.
9. The big-data based car wash according to claim 8, further comprising:
and the display module is used for displaying the picture of the car washing operation in real time.
10. The big-data-based car wash according to any one of claims 8, further comprising:
a counting module for counting the number of times of washing the vehicle to be washed,
the second sending module is further used for sending the car washing frequency information to the intelligent terminal of the car owner.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110170112.1A CN112776761A (en) | 2021-02-04 | 2021-02-04 | Car washing method and device based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110170112.1A CN112776761A (en) | 2021-02-04 | 2021-02-04 | Car washing method and device based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112776761A true CN112776761A (en) | 2021-05-11 |
Family
ID=75761212
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110170112.1A Pending CN112776761A (en) | 2021-02-04 | 2021-02-04 | Car washing method and device based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112776761A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114925996A (en) * | 2022-05-06 | 2022-08-19 | 深圳数影科技有限公司 | Vehicle management method, vehicle management device, vehicle management system, and storage medium |
-
2021
- 2021-02-04 CN CN202110170112.1A patent/CN112776761A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114925996A (en) * | 2022-05-06 | 2022-08-19 | 深圳数影科技有限公司 | Vehicle management method, vehicle management device, vehicle management system, and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110213356B (en) | Login processing method based on data processing and related equipment | |
| CN112959977A (en) | Method and device for automatically customizing vehicle cleaning | |
| CN103037348A (en) | Tracking area updating method and system | |
| CN112776761A (en) | Car washing method and device based on big data | |
| CN109120616A (en) | A kind of identity identifying method, device, agency service end and storage medium | |
| CN105847277A (en) | Service account share management method and system used for third party application | |
| CN108512845A (en) | Interface calling verification method and device | |
| CN113722105A (en) | Cloud application operation method, device, equipment, medium and product | |
| CN111224815B (en) | Data center equipment access method, device and related components | |
| CN113212377A (en) | Method and device for enhancing cleaning effect | |
| CN113212376A (en) | Customized cleaning method and device for car washing | |
| CN112511739B (en) | Interactive information generation method and equipment | |
| CN112948514A (en) | Method and device for pushing automobile cleaning places | |
| CN112758055A (en) | Big data-based car washing reminding method and device | |
| CN112698818A (en) | Point exchange method and device based on activity page and point exchange system | |
| CN107103707B (en) | Information interaction method and device for self-service washing equipment | |
| CN112788587A (en) | System for acquiring and managing cloud SIM card data and processing method thereof | |
| CN112744188A (en) | Energy-saving car washing method and device | |
| CN112132612A (en) | Task processing method and device, electronic equipment and storage medium | |
| CN112776760A (en) | Car washing method and device for vip exclusive customer | |
| CN112311797B (en) | Authentication method and device and authentication server | |
| CN114726916A (en) | Data transmission management system and method based on edge Internet of things agent | |
| CN110512397B (en) | Intelligent household equipment control method and system | |
| CN110535730B (en) | IP authentication function test method and device of network equipment | |
| CN108834225B (en) | Method and apparatus for device association |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication |