CN104933886A - Two-dimension code scanning reverse vehicle-searching system based on intelligent terminal - Google Patents
Two-dimension code scanning reverse vehicle-searching system based on intelligent terminal Download PDFInfo
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- CN104933886A CN104933886A CN201510381993.6A CN201510381993A CN104933886A CN 104933886 A CN104933886 A CN 104933886A CN 201510381993 A CN201510381993 A CN 201510381993A CN 104933886 A CN104933886 A CN 104933886A
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Abstract
The invention discloses a two-dimension code scanning reverse vehicle-searching system based on an intelligent terminal. The system mainly includes a mobile intelligent terminal device, a parking space area two-dimension code generation and management module, a parking lot path planning and navigation module, a parking lot parking space two-dimension code marking module, and a parking lot path navigation module based on two-dimension coordinate storage and processing. The mobile intelligent terminal device provides user parking space marking information and a reverse vehicle-searching path navigation request to the parking space area two-dimension code generation and management module and the parking lot path planning and navigation module. The parking space area two-dimension code generation and management module generates corresponding two-dimension codes according to division of parking space areas in a parking lot, and marks corresponding parking spaces and positions. The invention also discloses a two-dimension code scanning reverse vehicle-searching method based on an intelligent terminal. The system is simple and reasonable in structure, is low in investment and operating cost, is convenient and fast to use, and enables users to quickly find vehicle parking spaces.
Description
Technical field
The present invention relates to a kind of Quick Response Code towards intelligent terminal scanning reverse vehicle searching system.
Background technology
Current, along with the rapid emergence of China's economic, the quantity in parking lot gets more and more, and user has higher requirement to the intelligentized management in parking lot and challenges.Modern parking position is numerous, and space structure is similar, and after user has stopped car, be often difficult to when user picks up the car differentiate direction, the cost plenty of time finds storing cycle position, both loses time, and affects again car owner's mood.A kind of simple, effective Intelligentized parking lot of foundation oppositely seeks car mechanism and system can address this problem effectively.Existing market reverse vehicle searching system all need video smart terminal, navigational panel, oppositely seek the hardware devices such as car enquiry machine, need to carry out transformation and upgrade to hardware, wiring system etc., each side cost is higher.
Summary of the invention
The technical problem to be solved in the present invention is the deficiency overcoming the existence of above-mentioned prior art, provides a kind of Quick Response Code towards intelligent terminal to scan reverse vehicle searching system.
For solving the problems of the technologies described above, the present invention is by the following technical solutions: a kind of scanning of the Quick Response Code towards intelligent terminal reverse vehicle searching system, mainly comprise mobile intelligent terminal equipment, the band of position, parking stall Quick Response Code generates and administration module, path planning and navigation module, parking position Quick Response Code mark module in parking lot, store and process inner part of parking lot path navigation module based on two-dimensional coordinate
Described mobile intelligent terminal equipment generates path planning and navigation module in administration module and parking lot to region, parking stall Quick Response Code and provides user parking stall label information and oppositely seek bus or train route footpath navigation requests, receives the band of position, parking stall Quick Response Code and generates and the band of position, administration module parking stall label information; When path planning and navigation module receive user's navigation requests in parking lot, obtain user's current region mark, through the process of path planning algorithm, seek bus or train route footpath the most at last and feed back to user terminal;
Described parking location region Quick Response Code generates and administration module generates corresponding Quick Response Code according to the division in the region, parking stall, inside in parking lot, and marks relevant position;
Described parking position Quick Response Code mark module, scans Quick Response Code to parking stall with regard to row labels and location for user after stopping;
Described based on two-dimensional coordinate storage and process inner part of parking lot path navigation module, seek the path navigation of car after parking for user.
Further, described mobile intelligent terminal equipment mainly comprises smart mobile phone, panel computer, PDA, and described mobile intelligent terminal equipment has data communication module.
A car method is oppositely sought in Quick Response Code scanning towards intelligent terminal, specifically comprises the following steps:
Step 1) parking position and path tag 2 D code information generate, store and print and dispose;
Comprising following step:
Step 1.1) obtain the division of inner part of parking lot parking stall and structural information;
Step 1.2) generate corresponding parking position and regional structure mark 2 D code information;
Step 1.3) inner part of parking lot path tag convert information is the form of non-directed graph, and store parking stall and regional structure mark 2 D code information;
Step 1.4) print Quick Response Code disposing, Quick Response Code can be posted in pillar between parking stall or metope or ground;
Step 2) user mark park after parking space information;
Step 2.1) individual mobile intelligent terminal oppositely seek car application program open;
Step 2.2) scan the Quick Response Code puted up near parking stall after stopping, and scanning information is uploaded to data center;
Step 3) user locates current location, carries out path navigation;
Step 3.1) individual mobile terminal oppositely seek car application program open;
Step 3.2) Quick Response Code positions near scanning current location, and information is uploaded to data center;
Step 3.3) send navigation path planning request to data center;
Step 3.4) data center asks according to user, carries out path planning, and navigation path planning result is returned to user;
Step 3.5) user seeks get Ai Che according to the guidance path result of large data center, and navigation terminates.
Further, the path planning described in step 3.4 adopts the dijkstra's algorithm based on the signal source shortest path algorithm of non-directed graph to generate navigation path planning, and concrete steps are described below:
The first step: first the fixed point of non-directed graph G (V, E) is divided into two groups:
S: the vertex set having obtained shortest path;
U=V-S: not yet determine shortest path vertex set;
Second step: ask shortest path step:
1), time initially, S only comprises source point, and namely the distance dist [v] of S={v}, v is that 0, U comprises other summits except v, if v and u has limit, then in U, summit u distance dis [u] is the weights on limit; If namely the limit abutment points that goes out that u is not v does not have limit <v, u>), then in U, summit u distance dis [u] is ∞;
2) from U, choose the summit k that a distance v (dist [k]) is minimum, k is added in S, this selected distance is exactly the shortest path length of v to k;
3) take k as the new intermediate point considered, the distance on each summit in amendment U; If the distance of (u ∈ U) is shorter without summit k than original distance through summit k from source point v to summit u, then revise the distance value of summit u, the distance of the summit k of amended distance value adds the power on top, if i.e. dist [k]+w [k, u] <dist [u], so dist [u] is updated to shorter distance dist [k]+w [k, u];
4) step (2) and (3) is repeated until all summits are included in S, circulation n-1 time;
5) draw from source point S
0to object summit S
tset of paths R;
6) plan according to path R generation pass.
The technical solution adopted in the present invention has following beneficial effect: the present invention is based on widely using of Quick Response Code and popularizing of mobile intelligent terminal, and the Quick Response Code of position, parking stall in mark parking lot is deployed in the position such as support column, metope, ground in parking lot.After user has stopped car, use system interscan function on mobile terminal, the Quick Response Code near scanning, system of users parking spot carries out identifying and record.When subsequent user is picked up the car, user can learn the region of parking by the application of the terminals such as smart mobile phone, Quick Response Code near scanning, mark current location, real time inspection path is provided to indicate, find storing cycle position fast, also intelligent parking can be used to apply all kinds of related services of parking provided by mobile terminal simultaneously.The present invention is simple and reasonable, and the cost that puts into operation is low, convenient to use, is convenient to user and finds storing cycle position fast.
Accompanying drawing explanation
Fig. 1 is information interaction schematic diagram of the present invention;
Fig. 2 is that the present invention oppositely seeks car schematic flow sheet;
Fig. 3 is that the present invention oppositely seeks car process schematic;
Fig. 4 is that the present invention oppositely seeks bus or train route footpath navigation scheme.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is described in further detail.
As shown in Figure 1 and Figure 2, a kind of scanning of the Quick Response Code towards intelligent terminal reverse vehicle searching system, mainly comprise mobile intelligent terminal seek car application and oppositely seek car data and administrative center, mobile intelligent terminal equipment generates path planning and navigation module in administration module and parking lot to region, parking stall Quick Response Code and provides user parking stall label information and oppositely seek bus or train route footpath navigation requests, receives region, parking stall Quick Response Code and generates and the band of position, administration module parking stall label information; When path planning and navigation module receive user's navigation requests in parking lot, obtain user's current region mark, through the process of path planning algorithm, seek bus or train route footpath the most at last and feed back to user terminal.Reverse bicycle parking data processing centre (DPC) be responsible for receive user park after parking stall mark request, oppositely seek car navigation requests response, and be responsible for oppositely seek car navigation path planning, navigation information is pushed to user's mobile intelligent terminal.Oppositely seek the data interaction that car data processing enter realizes oppositely seeking car related data and user's mobile intelligent terminal.
Wherein, described mobile intelligent terminal equipment is provided with takes pictures and data communication module, and can realize wireless transmission and the camera function of data, mobile intelligent terminal equipment can be the terminals such as smart mobile phone, flat board, PDA.
As shown in Figure 3, Figure 4, a kind of scanning of the Quick Response Code towards intelligent terminal oppositely seeks car method, specifically comprises the following steps:
(1) divide block according to the distribution of inner part of parking lot parking stall, generate corresponding Quick Response Code and identify and store;
(2) store according to the Quick Response Code mark of (1) and put up parking stall and path tag information;
(3) car path navigation is oppositely sought according to Quick Response Code mark;
Comprise the steps: in (1) step
Step 1.1) according to inner part of parking lot design partition parking stall distribution block;
Step 1.2) corresponding parking stall and block information are saved to database;
Step 1.3) according to reaching and range information between the block of inner part of parking lot coordinates measurement parking stall;
Step 1.4) store according to the relevant non-directed graph of inner part of parking lot routing information generation pass;
Step 1.5) according to step 1.3) object information generate and comprise the Quick Response Code of parking space information;
Step 1.5 in step (1)) in, the mark of Quick Response Code is associated with the summit in non-directed graph, in parking lot, the path between each Quick Response Code and the frontier juncture in non-directed graph join, non-directed graph G (the V that final formation take Quick Response Code as summit (V), be limit (E) with the path between Quick Response Code, E), non-directed graph G (V, E) is stored in following adjacency matrix A;
Wherein: a
iivalue be 0 and be greater than 0 integer, 0 represents unreachable between summit, does not namely have path; Can reach between the integer representation summit being greater than 0, namely have path to exist, the distance between numeric representation summit.
Comprise the steps: in (2) step
Step 2.1) according to step 1.5) 2 D code information that generates prints Quick Response Code;
Step 2.2) put up pillar, the metope of Quick Response Code to inner part of parking lot;
Comprise the steps: in (3) step
Step 3.1) open mobile intelligent terminal oppositely seek range of driving sequence;
Step 3.2) after parking, scan 2 D code information near parking stall;
Step 3.3) the scanning 2 D code information nearby when picking up the car;
Step 3.4) carry out path planning and oppositely seek car navigation;
Step 3.5) navigation end, seek obtaining vehicle, close application.
Step 3.4 in step (3)) in, according to the non-directed graph G (V that the inner part of parking lot parking stall mark in step (1) and (2) and storage information obtain, E), at non-directed graph G (V, E) dijkstra's algorithm adopting signal source shortest path to calculate in solves oppositely seeking bus or train route footpath and plans navigation, and its concrete steps are as follows:
Dijkstra's algorithm produces shortest path according to path increasing order, first the fixed point of non-directed graph G (V, E) is divided into two groups:
S: the vertex set having obtained shortest path;
U=V-S: not yet determine shortest path vertex set;
Ask shortest path step:
(1), time initially, S only comprises source point, and namely the distance dist [v] of S={v}, v is that 0, U comprises other summits except v, if v and u has limit, then in U, summit u distance dis [u] is the weights on limit; If namely the limit abutment points that goes out that u is not v does not have limit <v, u>), then in U, summit u distance dis [u] is ∞;
(2) from U, choose the summit k that a distance v (dist [k]) is minimum, k is added (this selected distance is exactly the shortest path length of v to k) in S;
(3) take k as the new intermediate point considered, the distance on each summit in amendment U; If the distance (through summit k) of (u ∈ U) is shorter than original distance (without summit k) from source point v to summit u, then revise the distance value of summit u, the distance of the summit k of amended distance value adds power on top (if i.e. dist [k]+w [k, u] <dist [u], so dist [u] is updated to shorter distance dist [k]+w [k, u]).
(4) step (2) and (3) is repeated until all summits are included in S (will circulate n-1 time).
(5) draw from source point S
0to object summit S
tset of paths R.
(6) plan according to path R generation pass.
The present invention in use, after user has stopped car, has used the application scan parking stall Quick Response Code nearby of mobile intelligent terminal, positioned vehicle position.When user prepares to seek car, use mobile intelligent terminal to open application program, enter and oppositely seek Quick Response Code near car function interface scanning current location, consumer positioning current location, carries out path planning, implements navigation, finally seeks get Ai Che.
The above is only the preferred embodiment of the present invention, and protection scope of the present invention is also not only confined to above-described embodiment.For those skilled in the art, do not departing from the improvement that obtains under the technology of the present invention concept thereof and conversion also should be considered as protection scope of the present invention.
Claims (4)
1. the scanning of the Quick Response Code towards an intelligent terminal reverse vehicle searching system, it is characterized in that: mainly comprise mobile intelligent terminal equipment, the band of position, parking stall Quick Response Code generates and administration module, path planning and navigation module, parking position Quick Response Code mark module in parking lot, store and process inner part of parking lot path navigation module based on two-dimensional coordinate
Described mobile intelligent terminal equipment generates path planning and navigation module in administration module and parking lot to region, parking stall Quick Response Code and provides user parking stall label information and oppositely seek bus or train route footpath navigation requests, receives the band of position, parking stall Quick Response Code and generates and the band of position, administration module parking stall label information; When path planning and navigation module receive user's navigation requests in parking lot, obtain user's current region mark, through the process of path planning algorithm, seek bus or train route footpath the most at last and feed back to user terminal;
Described parking location region Quick Response Code generates and administration module generates corresponding Quick Response Code according to the division in the region, parking stall, inside in parking lot, and marks relevant position;
Described parking position Quick Response Code mark module, scans Quick Response Code to parking stall with regard to row labels and location for user after stopping;
Described based on two-dimensional coordinate storage and process inner part of parking lot path navigation module, seek the path navigation of car after parking for user.
2. the scanning of the Quick Response Code towards intelligent terminal reverse vehicle searching system according to claim 1, it is characterized in that: described mobile intelligent terminal equipment mainly comprises smart mobile phone, panel computer, PDA, described mobile intelligent terminal equipment has data communication module.
3. a car method is oppositely sought in the Quick Response Code scanning towards intelligent terminal, specifically comprises the following steps:
Step 1) parking position and path tag 2 D code information generate, store and print and dispose;
Comprising following step:
Step 1.1) obtain inner part of parking lot parking stall Region dividing and structural information;
Step 1.2) generate corresponding parking position and regional structure mark 2 D code information;
Step 1.3) inner part of parking lot path tag convert information is the form of non-directed graph, and store parking stall and regional structure mark 2 D code information;
Step 1.4) print Quick Response Code disposing, Quick Response Code can be posted in pillar between parking stall or metope or ground;
Step 2) user mark park after parking space information;
Step 2.1) individual mobile intelligent terminal oppositely seek car application program open;
Step 2.2) scan the Quick Response Code puted up near parking stall after stopping, and scanning information is uploaded to data center;
Step 3) user locates current location, carries out path navigation;
Step 3.1) individual mobile terminal oppositely seek car application program open;
Step 3.2) Quick Response Code positions near scanning current location, and information is uploaded to data center;
Step 3.3) send navigation path planning request to data center;
Step 3.4) data center asks according to user, carries out path planning, and navigation path planning result is returned to user;
Step 3.5) user seeks get Ai Che according to the guidance path result of large data center, and navigation terminates.
4. the scanning of the Quick Response Code towards intelligent terminal according to claim 3 oppositely seeks car method, it is characterized in that: the path planning described in step 3.4 adopts the dijkstra's algorithm based on the signal source shortest path algorithm of non-directed graph to generate navigation path planning, and concrete steps are described below:
The first step: first the fixed point of non-directed graph G (V, E) is divided into two groups:
S: the vertex set having obtained shortest path;
U=V-S: not yet determine shortest path vertex set;
Second step: ask shortest path step:
1), time initially, S only comprises source point, and namely the distance dist [v] of S={v}, v is that 0, U comprises other summits except v, if v and u has limit, then in U, summit u distance dis [u] is the weights on limit; If namely the limit abutment points that goes out that u is not v does not have limit <v, u>), then in U, summit u distance dis [u] is ∞;
2) from U, choose the summit k that a distance v (dist [k]) is minimum, k is added in S, this selected distance is exactly the shortest path length of v to k;
3) take k as the new intermediate point considered, the distance on each summit in amendment U; If the distance of (u ∈ U) is shorter without summit k than original distance through summit k from source point v to summit u, then revise the distance value of summit u, the distance of the summit k of amended distance value adds the power on top, if i.e. dist [k]+w [k, u] <dist [u], so dist [u] is updated to shorter distance dist [k]+w [k, u];
4) step (2) and (3) is repeated until all summits are included in S, circulation n-1 time;
5) draw from source point S
0to object summit S
tset of paths R;
6) plan according to path R generation pass.
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| CN106652548A (en) * | 2016-10-08 | 2017-05-10 | 重庆科技学院 | Underground garage navigation method based on unavailability of network |
| CN107371955A (en) * | 2017-07-31 | 2017-11-24 | 惠州市格农科技有限公司 | The cultural method of evergreen chinquapin seedling |
| CN107730964A (en) * | 2016-12-06 | 2018-02-23 | 西安艾润物联网技术服务有限责任公司 | Car searching method and device in parking lot |
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| CN108447297A (en) * | 2018-03-19 | 2018-08-24 | 武汉理工大学 | A kind of reverse car seeking device and method |
| CN111693834A (en) * | 2020-06-18 | 2020-09-22 | 国网福建省电力有限公司福州供电公司 | Lightweight carrying type partial discharge detection device and detection method |
| CN112857371A (en) * | 2020-12-29 | 2021-05-28 | 上海企树网络科技有限公司 | Navigation two-dimensional code generation method, park navigation method and park navigation device |
| CN113177447A (en) * | 2021-04-19 | 2021-07-27 | 吉林大学 | Reverse vehicle searching method based on computer vision |
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| CN115565399A (en) * | 2021-07-02 | 2023-01-03 | 北京万集科技股份有限公司 | Parking lot path acquisition method and device based on V2X and storage medium |
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| CN106408990A (en) * | 2016-10-08 | 2017-02-15 | 重庆科技学院 | Non-network garage map path planning method |
| CN106652548A (en) * | 2016-10-08 | 2017-05-10 | 重庆科技学院 | Underground garage navigation method based on unavailability of network |
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| CN108447297A (en) * | 2018-03-19 | 2018-08-24 | 武汉理工大学 | A kind of reverse car seeking device and method |
| CN111693834A (en) * | 2020-06-18 | 2020-09-22 | 国网福建省电力有限公司福州供电公司 | Lightweight carrying type partial discharge detection device and detection method |
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| CN112857371A (en) * | 2020-12-29 | 2021-05-28 | 上海企树网络科技有限公司 | Navigation two-dimensional code generation method, park navigation method and park navigation device |
| CN113177447A (en) * | 2021-04-19 | 2021-07-27 | 吉林大学 | Reverse vehicle searching method based on computer vision |
| CN113421453A (en) * | 2021-06-08 | 2021-09-21 | 苏州迈维朗网络科技有限公司 | Parking space convenient searching method |
| CN113393699A (en) * | 2021-06-17 | 2021-09-14 | 山东交通学院 | Intelligent parking lot system and method |
| CN115565399A (en) * | 2021-07-02 | 2023-01-03 | 北京万集科技股份有限公司 | Parking lot path acquisition method and device based on V2X and storage medium |
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Application publication date: 20150923 |