CN111583656A - Fill electric pile parking stall intelligence prevention and control system suitable for new forms of energy car - Google Patents
Fill electric pile parking stall intelligence prevention and control system suitable for new forms of energy car Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/30—Constructional details of charging stations
- B60L53/31—Charging columns specially adapted for electric vehicles
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/68—Off-site monitoring or control, e.g. remote control
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- E—FIXED CONSTRUCTIONS
- E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
- E01F—ADDITIONAL WORK, SUCH AS EQUIPPING ROADS OR THE CONSTRUCTION OF PLATFORMS, HELICOPTER LANDING STAGES, SIGNS, SNOW FENCES, OR THE LIKE
- E01F13/00—Arrangements for obstructing or restricting traffic, e.g. gates, barricades ; Preventing passage of vehicles of selected category or dimensions
- E01F13/04—Arrangements for obstructing or restricting traffic, e.g. gates, barricades ; Preventing passage of vehicles of selected category or dimensions movable to allow or prevent passage
- E01F13/042—Arrangements for obstructing or restricting traffic, e.g. gates, barricades ; Preventing passage of vehicles of selected category or dimensions movable to allow or prevent passage for controlling access to an individual parking space
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/12—Electric charging stations
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
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- Electric Propulsion And Braking For Vehicles (AREA)
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Abstract
The invention provides a charging pile parking space intelligent prevention and control system suitable for a new energy vehicle, and belongs to the technical field of new energy parking space control. The intelligent parking stall lock system comprises an intelligent parking stall lock, a wireless transmission network, a cloud platform and an intelligent parking stall lock system APP, wherein the intelligent parking stall lock is wirelessly connected with the cloud platform, and the cloud platform is used for storing relevant information transmitted by the intelligent parking stall lock, so that a user can inquire and use a parking stall, and the parking cost is calculated. The invention adopts high-reliability full-wireless connection to realize flexible deployment, does not need to change the charging pile, is easy to upgrade and maintain, can realize the high-efficiency use of the new energy parking space, realizes the full-intelligent management function of only providing the new energy vehicle for charging, but not enabling the oil vehicle to enter the parking space, effectively utilizes the parking resources and ensures the utilization rate of the charging pile.
Description
Technical Field
The invention relates to the technical field of new energy parking space control, in particular to a charging pile parking space intelligent prevention and control system suitable for a new energy vehicle.
Background
With the development of socioeconomic and the guidance of national policies, new energy vehicles have become one of the first choice for people to purchase vehicles, but the problem of insufficient charging parking space in the development of new energy vehicles has become an important bottleneck for restricting the development of new energy vehicles. The problem of the insufficient new energy charging parking space is that the construction is insufficient on the one hand, and the problem that the new energy charging parking space is occupied by the traditional fuel vehicle is also faced on the other hand. Therefore, the limited new energy charging parking space is protected, the occupation of the fuel vehicle is avoided, and the utilization efficiency of the new energy charging parking space is improved.
Chinese patent publication No. CN1064447932A discloses an electric vehicle charging location management system and method based on an intelligent ground lock, which, compared with the traditional ground lock, adds a charging device appointed by a mobile phone terminal, and realizes the lifting of the ground lock by using the charging management cloud platform and the charging device to communicate with each other. However, this design has some disadvantages: a user needs to download a specific app to reserve charging, and charging equipment of different manufacturers needs multiple apps to reserve charging; the invention also does not describe a structure for clearly showing how the charging device recognizes the reserved vehicle and how to implement the charging device to control the lifting of the ground lock. Chinese patent publication is CN106285134A discloses a parking stall lock, including the base and install pin subassembly and the drive assembly on the base, the drive assembly is including pushing seat, screw rod, supporting seat and intermeshing's gear and rack bar, be equipped with spacing seat on the screw rod, the cover has the spring on the screw rod to the one end butt of spring is on spacing seat, and the other end butt of spring is on the supporting seat, the screw rod passes the centre bore of gear to pass through threaded connection with the gear, the rack bar is connected with the pin subassembly to drive the pin subassembly and rise or descend, the lower extreme of screw rod rotationally inserts the inside at the base, it is at the top of screw rod to promote a fixed connection. But its ground lock structure is comparatively complicated, and the execution speed is slow, and its drive mode is also artificial control moreover, can't discern the kind of vehicle, and intelligent degree is low, and to some non-electric automobile occupation parking stall that charges, also is the waste of a resource. Moreover, the lock pile adopts an external structural design and is easy to damage. Chinese patent CN110725227 discloses an electric vehicle parking space rejection device, which relates to the technical field of new energy vehicles and comprises a base, a vehicle blocking rod, an execution component, a driving component, a controller and an identification device, wherein the base is of a shell structure, the top surface and the side surface of the base are respectively connected with a cover plate and a side plate, the cover plate is provided with a strip-shaped through hole matched with the vehicle blocking rod, the execution component and the driving component are all arranged in the base, the controller is arranged in the base, and the identification device is arranged on the top surface of the cover plate. The intelligent degree is obviously improved. The camera is added in the invention, but the position of the camera is positioned on the base, so that the collection of license plate images is very limited, and the image effect is seriously influenced; and no intelligent solution is provided for the lifting lock and the lowering lock of the vehicle lock, so that the application is very limited.
In general, the current related inventions face the following problems:
(1) the conventional ground lock is improved, a camera is added, special consideration is not given to a new energy license plate, and particularly, a solution of a system is not provided for how to form an intelligent parking spot lock by using the camera;
(2) the camera added to the parking spot lock is arranged on the base, and an elevation angle is needed when the license plate is shot, so that the shooting effect of the license plate can be greatly restrained, and the recognition accuracy is reduced;
(3) there are no systematic considerations and no consideration of the late data.
Disclosure of Invention
The invention provides an intelligent control system for a parking spot of a charging pile, which is suitable for a new energy vehicle and aims to solve the problems that the existing parking spot lock is low in identification efficiency, lack of linkage and fault-tolerant control and the like.
The device includes intelligent parking stall lock, wireless transmission network, cloud platform and intelligent parking stall system APP, intelligent parking stall lock passes through wireless transmission network and connects cloud platform and intelligent parking stall system APP, intelligent parking stall lock includes the parking stall lock, the camera, automatic control and identification module, network transmission module, orientation module and fault-tolerant control protection module, the camera is adorned on the parking stall lock, automatic control and identification module are connected to the camera, orientation module passes through network transmission module and connects intelligent parking stall system APP, fault-tolerant control protection module passes through network transmission module and connects intelligent parking stall system APP.
The number of pixels of the camera is 800 ten thousand, and the camera is used for scanning and taking pictures of new energy license plates.
Automatic control and identification module are used for discerning the license plate data that the camera gathered fast in real time, control the lift of parking stall lock to fill electric pile with data transmission for the parking stall.
The positioning module realizes accurate positioning of the car lock based on the Beidou and GPS double-positioning functions and is used for searching for an idle parking space through the intelligent parking space system APP.
The network transmission module is compatible with lora, NB-lot, ZigBee, WIFI and Bluetooth communication modes.
The wireless transmission network is a three-layer system architecture and comprises a parking space lock wireless data acquisition front end, a data relay and a remote data center.
The cloud platform can realize charging data management, query and user behavior analysis service of the new energy vehicle.
The intelligent parking space system APP can achieve the functions of reservation checking, renting sharing, parking charging, navigation positioning and charging payment.
The technical scheme of the invention has the following beneficial effects:
(1) the rapid deep neural network algorithm suitable for the embedded resources is provided, the number of layers of the neural network is optimized, the linear multi-section simplified activation function and the sparse connection weight matrix are optimized, the real-time performance of the algorithm is greatly improved, the characteristics of an embedded high-performance chip are combined, the miniaturization and the automation of a main body device are realized, and then the lifting of a vehicle lock is rapidly controlled. When a new energy vehicle is about to enter a charging parking space, the intelligent parking space lock firstly identifies the license plate through photographing and scanning, and whether the vehicle is the new energy vehicle is quickly judged.
(2) The method provides a vehicle leaving parking space judgment algorithm based on the change range of the RGB value of the image, and after a new energy vehicle is charged to leave the parking space, the change range of the RGB value of the image is collected by a camera to judge whether the vehicle leaves, so that the lifting of the parking space lock is controlled.
(3) The intelligent parking spot lock has a fault-tolerant control protection function, so that the situation that once a license plate cannot be identified is avoided, the user app program can initiate verification to the cloud platform, the intelligent parking spot lock is communicated with the intelligent parking spot lock through the verification code to unlock, and the situation that the user cannot charge is avoided.
(4) The big data platform can be used for counting and analyzing the charging behaviors of users, counting the use states of the charging pile parking spaces, effectively predicting the future use states of the charging piles through a nonlinear prediction method, and providing accurate charging service for the users.
(5) The invention provides a complete solution of an intelligent control system of a parking place of a charging pile suitable for a new energy vehicle, constructs a three-layer network architecture, integrates various technologies such as an intelligent identification module, a positioning module, a power self-adaptive wireless communication module, a control module, a big data platform and the like, and realizes a vehicle-lock-pile linkage control and a value-added service mode of a user-new energy vehicle-charging pile-data center.
Drawings
FIG. 1 is a diagram of an intelligent prevention and control system for a parking spot of a charging pile of a new energy vehicle according to the present invention;
FIG. 2 is a schematic structural view of an intelligent parking stall lock of the new energy vehicle of the invention;
FIG. 3 is a circuit diagram of the "vehicle-lock-pile" linkage control of the present invention;
FIG. 4 is a flow chart of a new energy license plate recognition algorithm based on a fast deep neural network according to the present invention;
FIG. 5 is a flow chart of the present invention for determining whether a charging vehicle is out of a parking space based on RGB values;
FIG. 6 is a flow chart of a wireless transmission power adaptive algorithm of the intelligent parking spot lock of the present invention;
FIG. 7 is a flow chart of the fault tolerant control protection algorithm of the present invention;
FIG. 8 is a schematic diagram of a system configuration of the intelligent parking spot lock of the present invention;
fig. 9 is a flowchart of a user charging behavior analysis platform based on big data analysis according to the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following detailed description is made with reference to the accompanying drawings and specific embodiments.
The invention provides an intelligent prevention and control system for a parking spot of a charging pile, which is suitable for a new energy vehicle.
As shown in fig. 1, fig. 2 and fig. 8, the device includes intelligent parking stall lock, wireless transmission network, cloud platform and intelligent parking stall system APP, intelligent parking stall lock includes the parking stall lock, 800 ten thousand pixel cameras, automatic control and identification module, network transmission module, orientation module and fault-tolerant control protection module, the camera is adorned on the parking stall lock, automatic control and identification module are connected to the camera, orientation module passes through network transmission module and connects intelligent parking stall system APP, fault-tolerant control protection module passes through network transmission module and connects intelligent parking stall system APP.
The parking lock is mainly responsible for a mechanical structure part of the ground lock, the intelligent lifting function of the ground lock can be realized, the automatic control and recognition module is used for rapidly recognizing license plate data collected by a camera in real time, judging whether a vehicle is a new energy vehicle or not, controlling the lifting of the parking lock, transmitting a signal to the charging pile to control charging, judging whether the vehicle leaves or not according to the change of RGB values of the image and lifting the parking lock, wherein the recognition accuracy rate can reach more than 99 percent and the recognition speed is less than 1 second; the fault-tolerant control protection module is used for enabling a user to input a remote verification code mode once an identification error occurs, automatic falling of the parking spot lock is achieved, charging is completed, charging data management, inquiry and user behavior analysis services of the new energy vehicle can be achieved through the user big data platform based on data mining, and data support is provided for accurate service of enterprises. Through improving and optimizing the algorithm based on quick deep neural network self-learning algorithm, the real-time of the algorithm is greatly improved, the quick neural network algorithm on the embedded mainboard with low power consumption is realized, the new energy vehicle can be accurately identified on the parking space without the support of a background network, the intelligent parking space lock system APP is installed on a mobile phone of a user, and the intelligent parking space system APP realizes the functions of idle charging pile reservation, position navigation, user charging behavior analysis, accurate service push and the like through a cloud platform.
The parking spot lock is integrated with a high-performance processing module, an improved rapid deep neural network algorithm is realized in an embedded main control module, real-time rapid local recognition of a new energy license plate is realized, and the parking spot lock has a self-learning function and continuously improves the recognition accuracy; based on the rapid deep neural network self-learning technology, the complexity and the calculated amount of the algorithm are greatly reduced through a multi-section linear loss function and a sparse weight matrix, and the real-time performance of the algorithm is greatly improved. The specific calculation formula is as follows:
the multi-stage linear loss function formula is as follows:
wherein ++ μ ═μAnd ≧ 0, μ ≧ 0 (generally μ ═ 1).
: the image tolerance zone is used for considering that the network is completely learned within the range;
μ: the noise tolerance threshold value can be used for noise-free processing for images which contain Gaussian noise or small noise;
μ: the abnormal noise alarm value is used for some more obvious noises, such as larger stains on the picture,when the tolerance range is exceeded, training the picture is easy to reduce the system performance, so that some loss functions with better robustness can be utilized.
The robust loss function is divided into three parts:
1) if y-f (x) is less than part, namely an insensitive area, the smaller deviation is considered to be lossless, each loss function in the formula is reduced, namely the corresponding deviation is added, the training speed is improved, and the sparsity and the robustness of the system are increased;
2)＜|y-f(x)|≤μin part, the mean square error loss function is selected for this interval. The loss function has the disadvantages that when the output error is larger, the derivative of the activation function is easy to be smaller, the convergence training speed is slowed down, so the restriction is carried out in a certain range, and the loss function with higher training speed is used when the output error exceeds the range; for the output with smaller error, the error is smaller due to the square reason, the derivative of the activation function is larger, and the training is accelerated;
3)|y-f(x)|≥μand partially, a similar absolute value loss function is selected, and for abnormal signals, the absolute value function is slower than the mean square error loss function (because the error square value is larger than the absolute value of the abnormal signals, the derivative of an activation function is smaller, the convergence training speed is slower, and the adjustment of the whole system is alleviated), so that the noise with larger amplitude and some singular points can be well inhibited. But for small error outputs the mean square error loss is more favorable for convergence.
In summary, the following steps: and taking the favorable range of each loss function to form a multi-section loss function.
The method is mainly used for solving a large amount of calculation problems caused by the nonlinear loss function, and the system only needs to judge whether the license plate is a new energy license plate, so that an algorithm with relatively low precision and ultra-high calculation speed can be selected to enhance the calculation real-time performance of the whole algorithm.
The calculation formula of the sparse weight matrix is as follows:
in the formula, w is a sparse representation coefficient vector of the signal x, | w | | Y0Representing the number of non-zero elements in w,
represents the residual energy of a sparse representation of the signal, T being the sparsity constraint constant of the signal.
Sparsity metric criterion:
the method is mainly used for solving the problem of high computational complexity caused by a high-dimensional weight matrix of the image, and the representation coefficient of the signal contains as few non-zero elements as possible by using a sparsization method according to rules, so that the representation of the signal has a sparse and concise form. Therefore, the calculation amount is greatly reduced, and the real-time performance is improved.
As shown in fig. 4, the intelligent parking stall lock based on the fast deep neural network self-learning technology integrates a powerful wireless communication module, is compatible with mainstream wireless communication modes such as lora, NB-lot, Zigbee, WIFI, bluetooth and the like, and realizes automatic power adjustment through an adaptive algorithm of wireless transmitting power, thereby realizing high-reliability communication under a strong shielding condition; the intelligent parking spot lock based on the rapid deep neural network self-learning technology integrates the fault-tolerant control protection device, and under the condition that new energy license plates are identified abnormally, a user can open the parking spot lock through remote assistance, so that the new energy vehicles can be charged in time, and the user experience is improved.
As shown in fig. 3 and 9, the intelligent control system for the charging pile parking space of the new energy vehicle realizes intelligent linkage of 'vehicle-lock-pile' through a linkage control algorithm, and realizes full-automatic operation of 'vehicle coming-lock falling-charging' and 'stopping charging-vehicle walking-lifting', realizes user charging behavior analysis based on big data at a cloud end, has a prediction function of charging pile utilization, can accurately provide user information, realizes efficient utilization of the charging pile, and combines a positioning system to realize accurate navigation of a user.
The following description is given with reference to specific examples.
Example 1
The utility model provides a fill electric pile parking stall intelligence prevention and control system suitable for new forms of energy car, includes intelligent parking stall lock, wireless transmission network, cloud platform and intelligent parking stall lock system APP. If the new energy automobile is adopted, firstly, a parking space with a new energy charging pile is inquired through a mobile phone app (a Beidou and GPS double-positioning module is arranged on an intelligent parking space lock), after a user selects a corresponding parking space, the system navigates whether the automobile backs to the parking space or directly drives the automobile head to the parking space, the intelligent parking space lock is in a vertical loading state, a license plate can be photographed and scanned by a camera at the top, as shown in fig. 6 and 7, whether the automobile is the new energy automobile or not is identified through a rapid deep neural network algorithm integrated by the system, two results are obtained if the identification is successful, one is that the automobile is judged to be the new energy automobile, the other is that the automobile is not the new energy automobile, if the automobile is judged to be the new energy automobile, the intelligent parking space lock can automatically fall off, and if the automobile is not the new; if the license plate identification is unsuccessful, namely whether the vehicle is a new energy vehicle or not cannot be judged, the user can send a message to a cloud platform back-end system through the fault-tolerant control and protection system of the system through the mobile phone app, once the cloud platform verifies that the vehicle is the new energy vehicle, the verification code can be sent to the user mobile phone app, and the user sends the verification code to the intelligent parking space lock, so that the intelligent parking space lock is opened. The intelligent parking spot lock is locked, and after a new energy vehicle enters a parking spot, the charging function is also started through the charging pile. As shown in fig. 5, in the process of charging, the camera can take a picture at a certain interval, after charging is completed, the user drives away from the parking space, the camera judges through the RGB values of the two shot images before and after judgment, and once the numerical value of the RGB value array is increased more, the parking space lock can be lifted.
The foregoing is a preferred embodiment of the present invention, and it should be noted that it is obvious to those skilled in the art that various modifications and improvements can be made without departing from the principle of the present invention, and these modifications and improvements should be considered as the protection scope of the present invention.
Claims (8)
1. The utility model provides a fill electric pile parking stall intelligence prevention and control system suitable for new forms of energy car which characterized in that: including intelligent parking stall lock, wireless transmission network, cloud platform and intelligent parking stall system APP, intelligent parking stall lock passes through wireless transmission network and connects cloud platform and intelligent parking stall system APP, intelligent parking stall lock includes the parking stall lock, the camera, automatic control and identification module, network transmission module, orientation module and fault-tolerant control protection module, the camera is adorned on the parking stall lock, automatic control and identification module are connected to the camera, orientation module passes through network transmission module and connects intelligent parking stall system APP, fault-tolerant control protection module passes through network transmission module and connects intelligent parking stall system APP.
2. The charging pile parking space intelligent control system suitable for the new energy vehicle of claim 1, characterized in that: the number of the camera pixels is 800 ten thousand, and the camera is used for scanning and taking pictures of new energy license plates.
3. The charging pile parking space intelligent control system suitable for the new energy vehicle of claim 1, characterized in that: automatic control and identification module discerns the license plate data that the camera was gathered fast in real time, controls the lift of parking stall lock to fill electric pile with data transmission for the parking stall.
4. The charging pile parking space intelligent control system suitable for the new energy vehicle of claim 1, characterized in that: positioning module realizes the accurate location of lock based on big dipper and GPS dual localization function for the user looks for idle parking stall through intelligent parking stall system APP.
5. The charging pile parking space intelligent control system suitable for the new energy vehicle of claim 1, characterized in that: the network transmission module is compatible with lora, NB-lot, ZigBee, WIFI and Bluetooth communication modes.
6. The charging pile parking space intelligent control system suitable for the new energy vehicle of claim 1, characterized in that: the wireless transmission network is a three-layer system architecture and comprises a parking space lock wireless data acquisition front end, a data relay and a remote data center.
7. The charging pile parking space intelligent control system suitable for the new energy vehicle of claim 1, characterized in that: the cloud platform can realize charging data management, query and user behavior analysis services of the new energy vehicle.
8. The charging pile parking space intelligent control system suitable for the new energy vehicle of claim 1, characterized in that: intelligence parking stall system APP can realize looking over reservation, rent sharing, parking charge, navigation location, the function of charging.
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Application publication date: 20200825 |