CN109584609A - A kind of intelligent Parking Guidance System - Google Patents
A kind of intelligent Parking Guidance System Download PDFInfo
- Publication number
- CN109584609A CN109584609A CN201811520289.4A CN201811520289A CN109584609A CN 109584609 A CN109584609 A CN 109584609A CN 201811520289 A CN201811520289 A CN 201811520289A CN 109584609 A CN109584609 A CN 109584609A
- Authority
- CN
- China
- Prior art keywords
- cluster head
- parking
- parking stall
- cluster
- sensor node
- 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.)
- Withdrawn
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/141—Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces
- G08G1/144—Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces on portable or mobile units, e.g. personal digital assistant [PDA]
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/149—Traffic control systems for road vehicles indicating individual free spaces in parking areas coupled to means for restricting the access to the parking space, e.g. authorization, access barriers, indicative lights
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Traffic Control Systems (AREA)
Abstract
A kind of intelligent Parking Guidance System, including importing and exporting monitoring modular, parking stall measure module, parking stall management module and Terminal Server Client, the inlet and outlet monitoring modular is for being monitored the vehicle of inlet and outlet, when having monitored vehicles while passing, even parking space state in parking stall measure module detection parking lot simultaneously will test resulting parking stall numbering and corresponding parking space state data are sent to parking stall management module, by parking stall management module forwards to Terminal Server Client, Terminal Server Client is used for display space information in real time, and parking route is planned for user according to the parking space information that user selects.The invention has the following beneficial effects: the present invention detects the parking space information in parking lot when detecting that inlet and outlet have vehicles while passing by sensor, and the parking space information is reflected to user by Terminal Server Client in time, it allows users to directly find parking stall according to the real-time parking space information in parking lot, improves the parking efficiency of user and the parking stall utilization rate in parking lot.
Description
Technical field
The invention is related to intelligent parking field, and in particular to a kind of intelligent Parking Guidance System.
Background technique
With being continuously increased for modern city vehicle fleet size, stifled and parking difficulty problem of driving seems particularly evident in city,
The main reason for causing current parking difficulty problem is that parking stall scarcity of resources, parking facility utilization rate be low and the letter of parking management
Breathization degree.Therefore, how to be guided using more intelligentized mode to parking position also becomes the public clothes in city
The main problem that business department faces.
In view of the above-mentioned problems, the present invention provides a kind of intelligent Parking Guidance System, detecting that inlet and outlet have
The parking space information in parking lot is detected when vehicles while passing by sensor, and the parking space information is timely by Terminal Server Client
It is reflected to user, allows users to directly find parking stall according to the real-time parking space information in parking lot, improves stopping for user
Vehicle efficiency and the parking stall utilization rate in parking lot.
Summary of the invention
In view of the above-mentioned problems, the present invention is intended to provide a kind of intelligent Parking Guidance System.
The purpose of the invention is achieved through the following technical solutions:
A kind of intelligent Parking Guidance System, including inlet and outlet monitoring modular, parking stall measure module, parking stall management
Module and Terminal Server Client, the inlet and outlet monitoring modular is for being monitored the vehicle of inlet and outlet, when having monitored vehicle
When disengaging, even parking stall measure module detects the parking space state in parking lot and will test resulting parking stall numbering and corresponding vehicle
Position status data is sent to parking stall management module, and the data received are transmitted to Terminal Server Client by the parking stall management module,
Terminal Server Client updates the parking space information of display interface according to the data received, and is use according to the parking space information that user selects
Family planning parking route.
The invention the utility model has the advantages that the present invention when detecting that inlet and outlet have vehicles while passing i.e. pass through sensor detect
The parking space information in parking lot, and the parking space information is reflected to user by Terminal Server Client in time, allow users to root
Parking stall is directly found according to the real-time parking space information in parking lot, the parking stall of the parking efficiency and parking lot that improve user utilizes
Rate.
Detailed description of the invention
Innovation and creation are described further using attached drawing, but the embodiment in attached drawing does not constitute and appoints to the invention
What is limited, for those of ordinary skill in the art, without creative efforts, can also be according to the following drawings
Obtain other attached drawings.
Fig. 1 is schematic structural view of the invention；
Appended drawing reference:
Import and export monitoring modular 1；Parking stall measure module 2；Parking stall management module 3；Terminal Server Client 4.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, a kind of intelligent Parking Guidance System of the present embodiment, including inlet and outlet monitoring modular 1, vehicle
Position detection module 2, parking stall management module 3 and Terminal Server Client 4, the inlet and outlet monitoring modular 1 are used for the vehicle to inlet and outlet
It is monitored, when having monitored vehicles while passing, even parking stall measure module 2 detects the parking space state in parking lot and will test
Resulting parking stall numbering and corresponding parking space state data are sent to parking stall management module 3, and the parking stall management module 3 will receive
To data be transmitted to Terminal Server Client 4, Terminal Server Client 4 updates the parking space information of display interface according to the data received,
And parking route is planned for user according to the parking space information that user selects.
Preferably, the Terminal Server Client 4 is cell phone application.
Preferably, the Terminal Server Client 4 and parking stall management module 3 are communicated using 4G or WiFi mode.
This vehicles while passing situation that preferably example passes through monitoring parking lot inlet and outlet in real time judges the parking space state in parking lot
Situation of change, only when in parking lot there are when parking space state variation by sensor detect parking lot parking space information, and
The parking space information is reflected to user by Terminal Server Client in time, allows users to be believed according to the real-time parking stall in parking lot
Breath directly finds parking stall, improves the parking efficiency of user and the parking stall utilization rate in parking lot.
Preferably, the parking stall measure module 2 using rechargeable type sensor node detection parking space state and is compiled parking stall
Number and parking space state data parking stall management module 3 is sent to by wireless sensor network.
Preferably, the wireless sensor network carries out sub-clustering using Clustering Routing, in the election of cluster head stage, specifically
Include:
(1) candidate cluster head is chosen, if the probability that sensor node i becomes candidate cluster head is pi, then piCalculation formula are as follows:
In formula, p0For the ratio between the cluster head number of setting and sensor node sum, ErIt (i) is sensor node i when r takes turns
Current energy value, E 'r(i) energy value that can be supplemented for sensor node i when r takes turns,For sensor node in network
The average energy value in r wheel；
Each sensor node is ranked up according to probability is descending, choosing preceding 15% sensor node becomes candidate
Cluster head；
(2), final cluster head is chosen, if candidate cluster head CHiCompetition cluster head weight be
In formula, Er(CHi) it is candidate cluster head CHiEnergy value in r wheel, E 'r(CHi) it is candidate cluster head CHiIt is taken turns in r
When the energy value that can supplement, EmaxIt (CHi) is candidate cluster head CHiMaximum energy value, hr(CHi) it is candidate cluster head CHiIt is taken turns in r
When number of retransmissions, H (max) be maximum retransmission, m (CHi) it is candidate cluster head CHiNode density, M (max) is maximum section
Dot density, γ and ρ are respectively weight coefficient, and+ρ=1 γ；
It is final cluster head that choosing, which has the candidate cluster head of maximum weight,.
This preferred embodiment in election of cluster head, ensure that the cluster head elected energy value with higher and preferably
Link transmission quality, in addition, in election of cluster head, while the density of leader cluster node is considered, so that the cluster head of election is saving
The intensive region of point, to effectively raise network energy efficiency.
Preferably, the wireless sensor network carries out sub-clustering using Clustering Routing, common to sense after cluster head is selected
Device node is executed to be selected into cluster, and define sensor node enters cluster mechanism are as follows:
In formula,Cluster head c is added for sensor node ijProbability, x (cj) it is number of members in the cluster of cluster head cx, X
(cj) it is cluster head cjCluster in allow greatest member's number, Er(cj) it is cluster head cjIn r wheel as energy energy value, E 'r(cj) be
Cluster head cjThe energy value that can be supplemented, N are taken turns in rr(cj, i) and it is cluster head cjData are carried out between sensor node i in r wheel
Transmit the energy consumption of consumption, Nr(cj, sink) and it is cluster head cjCarry out data transmission the energy of consumption between the sink of base station in r wheel
Consumption, s (cj) it is cluster head cjThe data volume for currently needing to forward, Smax(cj) it is the cluster head c setjForward the maximum value of data volume；
Sensor node i select so thatMaximum cluster head is added.
This preferred embodiment is executing when entering cluster mechanism of sensor node, and the energy value of leader cluster node, data are transmitted
Energy consumption and the data volume that forwards of needs extend cluster so that the energy of each cluster is more balanced as factor of evaluation
The service life of head；In addition, introducing the number of members in cluster as factor of evaluation, so that sensor node in entering cluster mechanism
It selects the probability for the cluster head that number of members is less in cluster larger, the interstitial content of each cluster is balanced with this, so that member's phase of each cluster
To more uniformly, to improve the life cycle of each cluster head.
Preferably, the cluster head cjCluster in allow greatest member number X (cj) are as follows:
In formula, X (0) is initial number of members in the cluster of setting, Er(cj) it is cluster head cjIn r wheel as energy energy value, E 'r
(cj) it is cluster head cjThe energy value that can be supplemented, E are taken turns in rmax(cj) it is cluster head cjMaximum energy value,It is adjustment parameter with θ,
Andd(cj, sink) and it is cluster head cjTo the distance of base station sink, d (max) is maximum of each cluster head to base station distance
Value.
Energy value of this preferred embodiment according to cluster head and the distance apart from base station set the maximum allowed in corresponding cluster
Number of members, so that dump energy is more, remote apart from base station cluster head has more number of members, so that it be made to undertake in more clusters
The task of data collection and processing, and dump energy is less, the number of members in cluster is reduced apart from the closer cluster head in base station, holds it
The task of data collection and processing in less cluster is carried on a shoulder pole, so that the balanced energy consumption of cluster head, extends the service life of network.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered
Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (7)
1. a kind of intelligent Parking Guidance System, characterized in that including inlet and outlet monitoring modular, parking stall measure module,
Parking stall management module and Terminal Server Client, the inlet and outlet monitoring modular work as monitoring for being monitored to the vehicle of inlet and outlet
To when having vehicles while passing, even parking space state in parking stall measure module detection parking lot and will test resulting parking stall numbering and
Corresponding parking space state data are sent to parking stall management module, and the data received for being transmitted to by the parking stall management module
Terminal Server Client, Terminal Server Client update the parking space information of display interface according to the data received, and according to user's selection
Parking space information is that user plans parking route.
2. a kind of intelligent Parking Guidance System according to claim 1, characterized in that the Terminal Server Client
For cell phone application.
3. a kind of intelligent Parking Guidance System according to claim 2, characterized in that the Terminal Server Client
It is communicated with parking stall management module using 4G or WiFi mode.
4. a kind of intelligent Parking Guidance System according to claim 3, characterized in that the parking stall measure mould
Parking stall numbering and parking space state data using rechargeable type sensor node detection parking space state and are passed through wireless sensor by block
Network is sent to parking stall management module.
5. a kind of intelligent Parking Guidance System according to claim 4, characterized in that the wireless sensor
Network carries out sub-clustering using Clustering Routing and specifically includes in the election of cluster head stage:
(1) candidate cluster head is chosen, if the probability that sensor node i becomes candidate cluster head is pi, then piCalculation formula are as follows:
In formula, p0For the ratio between the cluster head number of setting and sensor node sum, Er(i) the working as when r takes turns for sensor node i
Preceding energy value, E ' (i) are the energy value that sensor node i can be supplemented when r takes turns,It is sensor node in network in r
The average energy value when wheel；
Each sensor node is ranked up according to probability is descending, choosing preceding 15% sensor node becomes candidate cluster
Head；
(2) final cluster head is chosen, if candidate cluster head CHiCompetition cluster head weight be
In formula, Er(CHi) it is candidate cluster head CHiEnergy value in r wheel, E 'r(CHi) it is candidate cluster head CHiIt can in r wheel
The energy value of supplement, Emax(CHi) it is candidate cluster head CHiMaximum energy value, hr(CHi) it is candidate cluster head CHiIn r wheel
Number of retransmissions, H (max) are maximum retransmission, m (CHi) it is candidate cluster head CHiNode density, M (max) be maximum node it is close
Degree, γ and ρ are respectively weight coefficient, and+ρ=1 γ；
It is final cluster head that choosing, which has the candidate cluster head of maximum weight,.
6. a kind of intelligent Parking Guidance System according to claim 5, characterized in that the wireless sensor
Network carries out sub-clustering using Clustering Routing, and after cluster head is selected, general sensor nodes are executed to be selected into cluster, defines sensor
Node enters cluster mechanism are as follows:
In formula,Cluster head c is added for sensor node ijProbability, x (cj) it is cluster head cjCluster in number of members, X (cj) it is cluster
Head cjCluster in allow greatest member's number, Er(cj) it is cluster head cjIn the current energy value of r wheel, E 'r(cj) it is cluster head cj?
R takes turns the energy value that can be supplemented, Nr(cj, i) and it is cluster head cjCarry out data transmission consuming between sensor node i in r wheel
Energy consumption, Nr(cj, sink) and it is cluster head cjCarry out data transmission the energy consumption of consumption, s (c between the sink of base station in r wheelj)
For cluster head cjThe data volume for currently needing to forward, Smax(cj) it is the cluster head c setjForward the maximum value of data volume；
Sensor node i select so thatMaximum cluster head is added.
7. a kind of intelligent Parking Guidance System according to claim 6, characterized in that the cluster head cjCluster
The greatest member number X (c of interior permissionj) are as follows:
In formula, X (0) is initial number of members in the cluster of setting, Er(cj) it is cluster head cjIn the current energy value of r wheel, E 'r(cj) be
Cluster head cjThe energy value that can be supplemented, E are taken turns in rmax(cj) it is cluster head cjMaximum energy value,It is adjustment parameter with θ, andd(cj, sink) and it is cluster head cjTo the distance of base station sink, d (max) is maximum value of each cluster head to base station distance.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811520289.4A CN109584609A (en) | 2018-12-12 | 2018-12-12 | A kind of intelligent Parking Guidance System |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811520289.4A CN109584609A (en) | 2018-12-12 | 2018-12-12 | A kind of intelligent Parking Guidance System |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109584609A true CN109584609A (en) | 2019-04-05 |
Family
ID=65928315
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811520289.4A Withdrawn CN109584609A (en) | 2018-12-12 | 2018-12-12 | A kind of intelligent Parking Guidance System |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109584609A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110111599A (en) * | 2019-04-24 | 2019-08-09 | 网链科技集团有限公司 | A kind of parking induction method based on big data, terminal device and storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102256303A (en) * | 2010-05-19 | 2011-11-23 | 北京兴科迪科技有限公司 | Adaptive radio sensor network node load equalization method |
| CN102740340A (en) * | 2012-07-19 | 2012-10-17 | 中南大学 | Data gathering method oriented to same configuration nodes in network cluster of wireless sensor |
| CN206075559U (en) * | 2016-09-23 | 2017-04-05 | 滨州学院 | A kind of Intelligent parking lot management system |
| CN107025801A (en) * | 2016-02-01 | 2017-08-08 | 安徽原力网络科技有限公司 | A kind of parking lot digital management system based on APP |
| KR101831987B1 (en) * | 2016-12-26 | 2018-04-04 | 주식회사 올로케이션 | Subscription based parking space sharing method and system for the same |
| US20180225587A1 (en) * | 2017-02-03 | 2018-08-09 | Adxcel Inc. | Fast multi-step optimization technique to determine high performance cluster |
-
2018
- 2018-12-12 CN CN201811520289.4A patent/CN109584609A/en not_active Withdrawn
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102256303A (en) * | 2010-05-19 | 2011-11-23 | 北京兴科迪科技有限公司 | Adaptive radio sensor network node load equalization method |
| CN102740340A (en) * | 2012-07-19 | 2012-10-17 | 中南大学 | Data gathering method oriented to same configuration nodes in network cluster of wireless sensor |
| CN107025801A (en) * | 2016-02-01 | 2017-08-08 | 安徽原力网络科技有限公司 | A kind of parking lot digital management system based on APP |
| CN206075559U (en) * | 2016-09-23 | 2017-04-05 | 滨州学院 | A kind of Intelligent parking lot management system |
| KR101831987B1 (en) * | 2016-12-26 | 2018-04-04 | 주식회사 올로케이션 | Subscription based parking space sharing method and system for the same |
| US20180225587A1 (en) * | 2017-02-03 | 2018-08-09 | Adxcel Inc. | Fast multi-step optimization technique to determine high performance cluster |
Non-Patent Citations (6)
| Title |
|---|
| 周星岚: "无线传感器网络中分簇算法的研究", 《中国优秀硕士学位论文全文数据库信息科技辑》 * |
| 孙彦景: "一种能量高效的分布式非均匀分簇路由算法", 《传 感 技 术 学 报》 * |
| 方钰翔: "一种传感器网络的确定性混合分簇算法", 《小型传感器网络的确定性混合分簇算法》 * |
| 曹建玲: "一种能量高效的无线传感器网络分簇路由协议", 《重庆邮电大学学报( 自然科学版)》 * |
| 杨柳: "基于分簇结构的无线传感器网络节能路由协议研究", 《中国博士学位论文全文数据库信息科技辑》 * |
| 韩万强: "WSN中基于分簇的改进路由协议", 《计算机工程》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110111599A (en) * | 2019-04-24 | 2019-08-09 | 网链科技集团有限公司 | A kind of parking induction method based on big data, terminal device and storage medium |
| CN110111599B (en) * | 2019-04-24 | 2021-10-15 | 网链科技集团有限公司 | Parking guidance method based on big data, terminal equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN202257958U (en) | Parking lot space guiding and managing system based on Internet of things | |
| US20180096606A1 (en) | Method to control vehicle fleets to deliver on-demand transportation services | |
| CN102254438B (en) | Magnetoresistive sensor and ZigBee network-based intelligent method for monitoring vehicle flow | |
| CN107330547A (en) | A kind of city bus dynamic dispatching optimization method and system | |
| CN103520885A (en) | Bicycling body building system achieving exercise guidance based on data monitoring | |
| CN106851606B (en) | A kind of cellular network RTK positioning charging method and system | |
| CN103886774B (en) | Intelligent city public way road-surface concrete management method and system | |
| CN104122879B (en) | AGV (Automatic Guided Vehicle) calling display control system based on ZIGBEE local area network | |
| CN106652460A (en) | Highway traffic state determination method and system | |
| CN111582687A (en) | Carbon emission management system based on urban planning | |
| CN110118567A (en) | Trip mode recommended method and device | |
| CN106327016B (en) | The special car intelligent optimization scheduling system of oil recovery factory's work production based on Internet of Things | |
| CN110174893A (en) | A kind of unmanned control method, system and vehicle | |
| CN110309436A (en) | A kind of automobile services network cooperating site selecting method and system considering car owner's housing choice behavior | |
| CN109888769A (en) | A kind of wisdom cell power consumption management method and system | |
| CN106485937A (en) | A kind of storage space intelligent management | |
| CN105389979A (en) | Mobile positioning data-based integrated passenger transportation hub passenger flow real-time monitoring method | |
| CN102202428A (en) | Building energy consumption monitoring analysis system based on wireless sensor technology | |
| CN109300332A (en) | A kind of intelligent parking stall management equipment under Internet of Things mode | |
| CN109584609A (en) | A kind of intelligent Parking Guidance System | |
| CN103547033A (en) | Large intelligent light energy-saving control method based on wireless sensor actuator network | |
| CN103646430B (en) | BRT rapid public transportation system automatic coin ticket machine self-diagnosing method | |
| CN108156616A (en) | communication path management method and communication path management system | |
| CN109191700A (en) | A kind of tap water monitoring device based on K-means algorithm | |
| CN109544974A (en) | A kind of geomagnetic parking stall lock based on LoRa communication |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20190405 |
|
| WW01 | Invention patent application withdrawn after publication |