CN114067604B

CN114067604B - Intelligent parking lot service method and system based on big data analysis

Info

Publication number: CN114067604B
Application number: CN202111425772.6A
Authority: CN
Inventors: 朝鲁; 李阳根; 徐刚
Original assignee: Xingyingbuli Intelligent Technology Shanghai Co ltd
Current assignee: Xingyingbuli Intelligent Technology Shanghai Co ltd
Priority date: 2021-11-26
Filing date: 2021-11-26
Publication date: 2022-06-03
Anticipated expiration: 2041-11-26
Also published as: CN114067604A

Abstract

The invention provides an intelligent parking lot service method and system based on big data analysis, which determine the maximum distance length that an automobile can travel by acquiring the current battery residual capacity of the automobile and determine a target charging pile parking lot that the automobile can reach as fast as possible in the range covered by the maximum distance length; when an automobile arrives at a target charging pile parking lot, acquiring an internal environment image of the parking lot, and analyzing the internal environment image of the parking lot to determine a corresponding idle charging pile parking space; and finally, indicating the automobile to park on the idle charging pile parking space according to the relative position relation between the automobile and the idle charging pile parking space, automatically searching a target charging pile parking space which can be reached by the automobile as soon as possible based on the battery residual capacity of the automobile, and further indicating the automobile to park on the idle charging pile parking space quickly in the target charging pile parking space, so that the convenience of searching and parking on the charging pile parking space is improved, and the intellectualization and the automation degree of the parking lot service are improved.

Description

Intelligent parking lot service method and system based on big data analysis

Technical Field

The invention relates to the technical field of big data analysis management, in particular to an intelligent parking lot service method and system based on big data analysis.

Background

The new energy automobile has gradually become a main vehicle appearing by people, the electric energy consumption of a battery inside the new energy automobile is high in the running process of an urban road, and the new energy automobile is required to be capable of timely and accurately finding a charging pile to park and charge. In the prior art, all charging pile parking lots existing in the nearby areas are indicated for drivers through electronic maps of smart phones, but the mode does not directly indicate the optimal charging pile parking lot for the drivers, and does not directly indicate the cars to stop at the idle charging pile parking lots, so that the drivers need to spend time in the charging pile parking lots to be available charging piles, convenience and automation degree of new energy cars for finding and stopping at the charging pile parking lots are reduced, and meanwhile, the intellectualization and automation degree of parking lot services are also reduced.

Disclosure of Invention

Aiming at the defects in the prior art, the invention provides an intelligent parking lot service method and system based on big data analysis, which determine the maximum distance length that an automobile can travel by acquiring the current battery residual capacity of the automobile and determine a target charging pile which the automobile can reach as fast as possible in the range covered by the maximum distance length; when an automobile arrives at a target charging pile parking lot, acquiring an internal environment image of the parking lot, and analyzing the internal environment image of the parking lot to determine a corresponding idle charging pile parking space; and finally, indicating the automobile to park on the idle charging pile parking space according to the relative position relation between the automobile and the idle charging pile parking space, automatically searching a target charging pile parking space which can be reached by the automobile as soon as possible based on the battery residual capacity of the automobile, and further indicating the automobile to park on the idle charging pile parking space quickly in the target charging pile parking space, so that the convenience and the automation degree of the automobile in searching and parking on the charging pile parking space are improved, and the intellectualization and the automation degree of the parking lot service are improved.

The invention provides an intelligent parking lot service method based on big data analysis, which is characterized by comprising the following steps:

step S1, the mobile terminal of the driver is wirelessly connected with the automobile, so as to obtain the current battery residual capacity of the automobile; determining the maximum distance length that the automobile can run according to the residual electric quantity of the battery;

step S2, determining all charging pile parking lots existing in the range covered by the maximum distance length through the mobile terminal, and determining a target charging pile parking lot which can be reached by the automobile most quickly from all the charging pile parking lots based on the road traffic state big data;

step S3, when the automobile arrives at the target charging pile parking lot, acquiring an image of the internal environment of the parking lot during the driving process of the automobile in the target charging pile parking lot; analyzing the environment image inside the parking lot to determine an idle charging pile parking space inside the target charging pile parking lot; determining the relative position relation between the idle charging pile parking spaces and the automobile so as to indicate that the automobile is parked on the idle charging pile parking spaces;

further, in step S1, wirelessly connecting the mobile terminal of the driver with the vehicle, so as to obtain the current remaining battery capacity of the vehicle; determining the maximum distance that the automobile can travel according to the residual battery capacity specifically comprises the following steps:

step S101, carrying out wifi wireless connection or Bluetooth wireless connection on a mobile terminal of a driver and an automobile, and indicating the mobile terminal to acquire the current battery residual capacity of the automobile and the battery capacity consumption information of the automobile in the historical driving process from a central controller of the automobile;

step S102, determining a battery electric quantity value which needs to be consumed corresponding to each driving unit distance in the historical driving process of the automobile according to the battery electric quantity consumption information;

step S103, obtaining the maximum distance length that the automobile can run according to the residual battery capacity and the corresponding battery capacity value to be consumed per unit distance of running;

further, in step S2, the determining, by the mobile terminal, all charging pile parking lots existing in the range covered by the maximum distance length, and the determining, based on the road traffic state big data, a target charging pile parking lot that the vehicle can reach the fastest may specifically include:

step S201, loading the maximum distance length into an electronic map through the mobile terminal, and accordingly determining all charging pile parking lots existing in a circular area range formed by taking the current position of the automobile as the center of a circle and taking the maximum distance length as the radius;

step S202, acquiring real-time traffic flow information of all roads in the circular area range based on road traffic state big data, and determining estimated driving time required for an automobile to reach each charging pile parking lot from the current position according to the real-time traffic flow information;

step S203, comparing the estimated driving time corresponding to all the charging pile parking lots, and taking the charging pile parking lot corresponding to the minimum estimated driving time as a target charging pile parking lot which can be reached by the automobile at the fastest speed;

further, in the step S3, after the vehicle reaches the target charging pile parking lot, acquiring an image of an internal environment of the parking lot during driving of the vehicle in the target charging pile parking lot; analyzing the environment image inside the parking lot to determine an idle charging pile parking space inside the target charging pile parking lot; and determining the relative position relation between the idle charging pile parking space and the automobile, thereby indicating that the automobile is parked on the idle charging pile parking space specifically comprises:

step S301, after the automobile arrives at the target charging pile parking lot, scanning and shooting the internal environment of the parking lot during the driving process of the automobile in the target charging pile parking lot so as to obtain a panoramic image of the internal environment of the parking lot;

step S302, after background noise filtering processing and edge pixel sharpening processing are carried out on the panoramic image of the internal environment of the parking lot, all idle charging pile parking spaces in the parking lot of the target charging pile are identified and obtained from the panoramic image of the internal environment of the parking lot;

step S303, determining an idle charging pile parking space closest to the automobile from all the idle charging pile parking spaces, and determining the relative position relation between the idle charging pile parking space closest to the automobile and the automobile; generating a corresponding parking voice indication message according to the relative position relation, so as to indicate that the automobile is parked at the nearest idle charging pile parking space;

in step S302, identifying and obtaining all the idle charging pile parking spaces in the target charging pile parking lot from the panoramic image of the parking lot internal environment specifically includes:

establishing a rectangular coordinate system for a Y axis with the lower left corner of the parking lot internal environment panoramic image as an origin, the lower side edge of the parking lot internal environment panoramic image as an X axis and the left side edge of the parking lot internal environment panoramic image as an upward direction, wherein the unit length of the X axis is the distance value between two adjacent transverse pixel points in the parking lot internal environment panoramic image, and the unit length of the Y axis is the distance value between two adjacent longitudinal pixel points in the parking lot internal environment panoramic image, so that each pixel point of the parking lot internal environment panoramic image can be represented in a coordinate point form;

step S3021, because each parking space has four annotation points respectively disposed at four vertex positions of the parking space, then image recognition is performed on the annotation points present on the parking space, and the center coordinate point of each parking space is obtained according to the image recognition result of the parking lot by using the following formula (1),

in the above formula (1), (x)_a,y_a) A center coordinate point representing an a-th parking space of the parking lot; δ (a) represents an output value corresponding to whether an annotation point exists on the a-th parking space of the parking lot after image recognition, wherein δ (a) is 1 and represents that the annotation point exists on the a-th parking space of the parking lot after image recognition, and δ (a) is 0 and represents that the annotation point does not exist on the a-th parking space of the parking lot after image recognition; [ x ] of_a(max),y_a(max)]Representing the coordinates of a marking point farthest from the origin in the a-th parking space; [ x ] of_a(min),y_a(min)]Representing the coordinate of the marking point closest to the origin in the a-th parking space;

if (x)_a,y_a) If the number is (0,0), it indicates that no charging pile exists in the a-th parking space, that is, the a-th parking space does not belong to the charging pile parking space, and then the corresponding annotation point is automatically screened out in the subsequent step S3023;

if (x)_a,y_a) Not (0,0), then indicate that there is charging pile in the a-th parking stall, that is the a-th parking stall belongs to charging pile parking stall to its charging pile parking stall center coordinate point that corresponds is (x)_a,y_a)；

Step S3022, performing image recognition on the parking lot internal environment panoramic image, thereby recognizing all cars in the parking lot internal environment panoramic image, labeling the pixel values of the coordinates of all cars parked in the parking lot as 1 using the following formula (2),

in the above formula (2), H [ x (i), y (i)]In the panoramic image representing the internal environment of the parking lotThe i-th pixel point coordinate is [ x (i), y (i)]Marking a corresponding pixel value; [ x ] of_k(t),y_k(t)]Representing the t-th coordinate point on the k-th automobile determined by image recognition of the panoramic image of the environment inside the parking lot; t is_kThe total number of coordinate points on the kth automobile determined by image recognition of the panoramic image of the environment inside the parking lot is represented; k represents the total number of the automobiles determined by image recognition of the panoramic image of the internal environment of the parking lot; f { [ x (i), y (i)],[x_k(t),y_k(t)]Denotes an alignment function if [ x (i), y (i)]And [ x ]_k(t),y_k(t)]If the coordinate points are the same, the function value of the comparison function is 1, otherwise, the function value is 0;

if H [ x (i), y (i)) ] is 1, marking the pixel value of the pixel with the i-th pixel coordinate [ x (i), y (i)) ] as 1 in the panoramic image of the parking lot internal environment;

if H [ x (i), y (i)) ] is 0, marking the pixel value of the pixel with the i-th pixel coordinate [ x (i), y (i)) ] as 0 in the parking lot internal environment panoramic image;

marking all pixel points through the steps to obtain a marked panoramic image of the internal environment of the parking lot;

step S3023, using the following formula (3) to screen the center coordinate points of all the charging pile parking spaces according to the marked panoramic image of the parking lot interior environment, thereby screening the center coordinate points of the vacant charging pile parking spaces,

in the above formula (3), S (x)_a,y_a) Representing a screening value corresponding to the a-th parking space; h (x)_a,y_a) A center coordinate point (x) indicating the a-th parking space of the parking lot obtained in the above step S3022_a,y_a) Marking a corresponding pixel value;

if S (x)_a,y_a) 1 indicates that the a-th parking space does not belong to the charging pile parking space or the car has been parked on the parking space, and at this momentScreening and removing the corresponding a-th parking space;

if S (x)_a,y_a) The method comprises the following steps that (1) 0, the fact that the a-th parking space belongs to a charging pile parking space and no automobile is parked on the parking space is shown, and the corresponding a-th parking space does not need to be screened and removed;

and marking all the parking spaces which are not screened and removed as free charging pile parking spaces.

The invention also provides an intelligent parking lot service system based on big data analysis, which is characterized by comprising a mobile terminal, an image shooting module, an image analysis module and a parking prompt module; wherein the content of the first and second substances,

the mobile terminal is used for wirelessly connecting with the automobile so as to obtain the current battery residual capacity of the automobile; determining the maximum distance length that the automobile can run according to the residual battery power, determining all charging pile parking lots existing in the range covered by the maximum distance length, and determining a target charging pile parking lot that the automobile can reach at the fastest speed from all charging pile parking lots based on the road traffic state big data;

the image shooting module is used for acquiring an image of the internal environment of the parking lot when the automobile runs in the target charging pile parking lot after the automobile arrives at the target charging pile parking lot;

the image analysis module is used for analyzing the environment image in the parking lot so as to determine an idle charging pile parking space in the target charging pile parking lot;

the parking prompt module is used for determining the relative position relation between the idle charging pile parking spaces and the automobile so as to indicate that the automobile is parked on the idle charging pile parking spaces;

further, the mobile terminal is in wireless connection with the automobile so as to obtain the current battery residual capacity of the automobile; determining the maximum distance that the automobile can travel according to the residual battery capacity specifically comprises the following steps:

the method comprises the steps that a mobile terminal is in wifi wireless connection or Bluetooth wireless connection with an automobile, and the mobile terminal is instructed to obtain the current battery residual capacity of the automobile and the battery capacity consumption information of the automobile in the historical driving process from a central controller of the automobile;

according to the battery electric quantity consumption information, determining a battery electric quantity value which needs to be consumed corresponding to each driving unit distance in the historical driving process of the automobile;

obtaining the maximum distance length that the automobile can run according to the residual battery capacity and the battery capacity value which needs to be consumed corresponding to each running unit distance;

further, the step of determining all charging pile parking lots existing in the range covered by the maximum distance length by the mobile terminal, and the step of determining a target charging pile parking lot which can be reached by the automobile at the fastest speed from all the charging pile parking lots based on the road traffic state big data specifically comprises the following steps:

loading the maximum distance length into an electronic map through the mobile terminal, and accordingly determining all charging pile parking lots existing in a circular area range formed by taking the current position of the automobile as the center of a circle and taking the maximum distance length as the radius;

acquiring real-time traffic flow information of all roads in the circular area range based on the road traffic state big data, and determining estimated driving time required by an automobile to reach each charging pile parking lot from the current position according to the real-time traffic flow information;

comparing the estimated running time corresponding to each of all the charging pile parking lots, so that the charging pile parking lot corresponding to the minimum estimated running time is used as a target charging pile parking lot which can be reached by the automobile at the fastest speed;

further, the image shooting module is used for obtaining the car and specifically includes at the inside parking area internal environment image of the inside in-process of traveling in target charging pile parking area after the car arrives at the target charging pile parking area:

after the automobile arrives at the target charging pile parking lot, scanning and shooting the internal environment of the parking lot during the driving process of the automobile in the target charging pile parking lot so as to obtain a panoramic image of the internal environment of the parking lot;

and the number of the first and second groups,

the image analysis module is used for analyzing the parking lot internal environment image to this spare electric pile parking stall that fills of target charging stake parking lot inside specifically includes:

after background noise filtering processing and edge pixel sharpening processing are carried out on the panoramic image of the internal environment of the parking lot, all idle charging pile parking spaces in the target charging pile parking lot are identified and obtained from the panoramic image of the internal environment of the parking lot;

and (c) a second step of,

the parking suggestion module is used for confirming the relative position relation between idle electric pile parking stall and the car of filling to instruct the car to park in the idle electric pile parking stall specifically includes:

determining an idle charging pile parking space closest to the automobile from all the idle charging pile parking spaces, and determining the relative position relation between the idle charging pile parking space closest to the automobile and the automobile; and generating a corresponding parking voice indication message according to the relative position relation, so as to indicate that the automobile is parked at the nearest idle charging pile parking space.

Compared with the prior art, the intelligent parking lot service method and system based on big data analysis determine the maximum distance length that an automobile can travel by acquiring the current battery residual capacity of the automobile, and determine the target charging pile parking lot that the automobile can reach the fastest within the range covered by the maximum distance length; when an automobile arrives at a target charging pile parking lot, acquiring an internal environment image of the parking lot, and analyzing the internal environment image of the parking lot to determine a corresponding idle charging pile parking space; and finally, indicating the automobile to park on the idle charging pile parking space according to the relative position relation between the automobile and the idle charging pile parking space, automatically searching a target charging pile parking space which can be reached by the automobile as soon as possible based on the battery residual capacity of the automobile, and further indicating the automobile to park on the idle charging pile parking space quickly in the target charging pile parking space, so that the convenience and the automation degree of the automobile in searching and parking on the charging pile parking space are improved, and the intellectualization and the automation degree of the parking lot service are improved.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a schematic flow diagram of an intelligent parking lot service method based on big data analysis according to the present invention.

Fig. 2 is a schematic structural diagram of an intelligent parking lot service system based on big data analysis provided by the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Fig. 1 is a schematic flow chart of an intelligent parking lot service method based on big data analysis according to an embodiment of the present invention. The intelligent parking lot service method based on big data analysis comprises the following steps:

step S3, when the automobile arrives at the target charging pile parking lot, acquiring an image of the internal environment of the parking lot during the driving process of the automobile in the target charging pile parking lot; analyzing the environment image inside the parking lot to determine an idle charging pile parking space inside the target charging pile parking lot; and determining the relative position relation between the idle charging pile parking space and the automobile, thereby indicating the automobile to stop at the idle charging pile parking space.

The beneficial effects of the above technical scheme are: the intelligent parking lot service method based on big data analysis determines the maximum distance length that an automobile can travel by acquiring the current battery remaining capacity of the automobile, and determines a target charging pile parking lot that the automobile can reach as fast as possible within the range covered by the maximum distance length; when an automobile arrives at a target charging pile parking lot, acquiring an internal environment image of the parking lot, and analyzing the internal environment image of the parking lot to determine a corresponding idle charging pile parking space; and finally, indicating the automobile to park on the idle charging pile parking space according to the relative position relation between the automobile and the idle charging pile parking space, automatically searching a target charging pile parking space which can be reached by the automobile as soon as possible based on the battery residual capacity of the automobile, and further indicating the automobile to park on the idle charging pile parking space quickly in the target charging pile parking space, so that the convenience and the automation degree of the automobile in searching and parking on the charging pile parking space are improved, and the intellectualization and the automation degree of the parking lot service are improved.

Preferably, in the step S1, the mobile terminal of the driver is wirelessly connected to the automobile, so as to obtain the current remaining battery capacity of the automobile; according to the remaining battery capacity, determining the maximum distance that the automobile can travel specifically comprises:

step S102, determining the corresponding battery electric quantity value to be consumed of each driving unit distance in the historical driving process of the automobile according to the battery electric quantity consumption information;

and step S103, obtaining the maximum distance length that the automobile can run according to the residual battery capacity and the corresponding battery capacity value required to be consumed per unit distance of running.

The beneficial effects of the above technical scheme are: carry out wifi or bluetooth mode's wireless connection through mobile terminal such as smart mobile phone with new energy automobile, mobile terminal can carry out data information interactive transmission with new energy automobile's central controller like this. The central controller is connected with a lithium battery end of the new energy automobile, so that the central controller can obtain the current battery residual capacity of the lithium battery, the central controller also records the battery capacity consumption information of the new energy automobile in the historical driving process, and then the mobile terminal can directly obtain the corresponding battery residual capacity and the battery capacity consumption information in the historical driving process from the central controller. Then, the mobile terminal can further process the battery power consumption information during the historical driving process, so as to determine the battery power value which needs to be consumed for each unit distance (such as 1km) traveled by the automobile during the historical driving process. And finally, dividing the residual battery capacity by the corresponding battery capacity value to be consumed in each driving unit distance by the mobile terminal to obtain the theoretical maximum distance length of the new energy automobile, wherein when the actual driving distance of the new energy automobile is greater than the maximum distance length, the capacity of a lithium battery in the new energy automobile is completely exhausted. Through calculating this maximum distance length, can ensure to look for suitable electric pile parking area in the distance length range that new energy automobile allows to go.

Preferably, in step S2, the determining, by the mobile terminal, all charging pile parking lots existing in the range covered by the maximum distance length, and the determining, based on the road traffic state big data, a target charging pile parking lot that the vehicle can reach fastest from all charging pile parking lots specifically includes:

step S202, acquiring real-time traffic flow information of all roads in the circular area range based on the road traffic state big data, and determining estimated driving time required for an automobile to reach each charging pile parking lot from the current position according to the real-time traffic flow information;

and S203, comparing the estimated running time corresponding to all the charging pile parking lots, so that the charging pile parking lot corresponding to the minimum estimated running time is used as the target charging pile parking lot which can be reached by the automobile at the fastest speed.

The beneficial effects of the above technical scheme are: after the maximum distance length of the new energy automobile is determined, the maximum distance length can be loaded into an electronic map APP of the mobile terminal, and therefore all charging pile parking lots existing in a circular area range covered by the maximum distance length can be determined as selectable charging pile parking lots in the electronic map APP by taking the maximum distance length and the current position of the new energy automobile as references. Due to the fact that the traffic flow of different roads in the area where the new energy automobile is located is different, the time required for the new energy automobile to reach each charging pile parking lot from the current location is different. And at the moment, obtaining real-time traffic flow information of all roads in the corresponding circular area range from the corresponding road traffic big data center, and estimating estimated running time required by the new energy automobile to reach each charging pile parking lot from the current position by using a running time calculation function of the electronic map APP. And then, the charging pile parking lot corresponding to the minimum estimated running time is used as a target charging pile parking lot which can be reached by the new energy automobile, so that the charging pile parking lot which is suitable for going to charge can be determined for the new energy automobile quickly and accurately, the automation and the intelligent degree of searching the charging pile parking lot are improved, and the time consumed for searching the charging pile parking lot is shortened.

Preferably, in step S3, after the vehicle arrives at the target charging pile parking lot, an image of an internal environment of the parking lot is obtained while the vehicle is traveling in the target charging pile parking lot; analyzing the environment image inside the parking lot to determine an idle charging pile parking space inside the target charging pile parking lot; and confirm the relative position relation between this idle electric pile parking stall of filling and the car to instruct the car to stop specifically including on this idle electric pile parking stall of filling:

step S302, after background noise filtering processing and edge pixel sharpening processing are carried out on the panoramic image of the internal environment of the parking lot, all idle charging pile parking spaces in the target charging pile parking lot are identified and obtained from the panoramic image of the internal environment of the parking lot;

step S303, determining an idle charging pile parking space closest to the automobile from all the idle charging pile parking spaces, and determining the relative position relation between the idle charging pile parking space closest to the automobile and the automobile; and generating a corresponding parking voice indication message according to the relative position relation, so as to indicate that the automobile stops at the nearest idle charging pile parking space.

The beneficial effects of the above technical scheme are: generally speaking, after new energy automobile reachd the target and fills electric pile parking area, all that the driver utilizes naked eye to look for the idle electric pile parking stall that fills, this kind of mode of manual searching is not only inefficient to still miss the idle electric pile parking stall of filling easily. Therefore, panoramic scanning shooting is carried out on the internal environment of the parking lot by utilizing image shooting modules such as vehicle-mounted cameras and the like installed on the new energy automobile, so that a corresponding panoramic image of the internal environment of the parking lot is obtained. Subsequently, the panoramic image of the internal environment of the parking lot is identified, all the idle charging pile parking spaces in the target charging pile parking lot are determined, and the idle charging pile parking space closest to the new energy automobile is selected from the idle charging pile parking spaces. And finally, determining a relative position relation between the nearest idle charging pile parking space and the new energy automobile, wherein the relative position relation can include but is not limited to relative distance and/or relative orientation and the like, and generating a corresponding parking voice indication message according to the relative position relation by utilizing an automatic navigation parking function of the new energy automobile, so that a driver can park the new energy automobile at the nearest idle charging pile parking space according to the parking voice indication message, thereby greatly saving the parking time of the new energy automobile and improving the reliability and safety of parking.

Preferably, in step S302, the identifying and obtaining all the empty charging pile parking spaces in the target charging pile parking lot from the panoramic image of the environment inside the parking lot includes:

taking the lower left corner of the parking lot internal environment panoramic image as an origin, the lower side of the parking lot internal environment panoramic image as an X axis to the right, the left side of the parking lot internal environment panoramic image as an upward Y axis to establish a rectangular coordinate system, the unit length of the X axis is the distance value between two adjacent transverse pixel points in the parking lot internal environment panoramic image, and the unit length of the Y axis is the distance value between two adjacent longitudinal pixel points in the parking lot internal environment panoramic image, so that each pixel point of the parking lot internal environment panoramic image can be represented in a coordinate point form;

Step S3022, performing image recognition on the panoramic image of the parking lot internal environment, thereby recognizing all cars in the panoramic image of the parking lot internal environment, labeling the pixel values of the coordinates of all cars parked in the parking lot as 1 using the following formula (2),

in the above formula (2), H [ x (i), y (i)]Indicating the i-th pixel coordinate in the panoramic image of the parking lot internal environment as [ x (i), y (i)]Marking the corresponding pixel with a value; [ x ]_k(t),y_k(t)]The coordinate point of the kth automobile is determined by image recognition of the panoramic image of the environment inside the parking lot; t is_kThe total number of coordinate points on the kth automobile determined by image recognition of the panoramic image of the environment inside the parking lot is represented; k representsCarrying out image recognition on the panoramic image of the internal environment of the parking lot to determine the total number of the automobiles; f { [ x (i), y (i)],[x_k(t),y_k(t)]Denotes an alignment function if [ x (i), y (i)]And [ x ]_k(t),y_k(t)]If the coordinate points are the same, the function value of the comparison function is 1, otherwise, the function value is 0;

if H [ x (i), y (i)) ] is 0, marking the pixel value of the pixel with the i-th pixel coordinate [ x (i), y (i)) ] as 0 in the panoramic image of the parking lot internal environment;

in the above formula (3), S (x)_a,y_a) Representing a screening value corresponding to the a-th parking space; h (x)_a,y_a) The center coordinate point (x) of the a-th parking space of the parking lot obtained in step S3022 is shown_a,y_a) Marking the corresponding pixel with a value;

if S (x)_a,y_a) The method comprises the following steps that 1, the fact that the a-th parking space does not belong to a charging pile parking space or a car is parked on the parking space is indicated, and the corresponding a-th parking space needs to be screened and removed;

The beneficial effects of the above technical scheme are: obtaining central coordinate points of all parking spaces with charging piles according to the identification condition of each parking space by using the formula (1), and further classifying the parking spaces into one point to facilitate subsequent position relation calculation and simple calculation; then, all the pixel values of the coordinates of all the automobiles parked in the parking lot are marked as 1 by using the formula (2), and the identification condition of the automobiles is expressed in an image pixel point form, so that the subsequent judgment and control are facilitated; and finally, according to the formula (3), screening all the center coordinate points of the charging pile parking spaces by using the panoramic images of the interior environment of the parking lot after the charging pile parking spaces are marked, screening out the center coordinate points of the idle charging pile parking spaces, and then reliably automatically screening out the idle charging pile parking spaces, so that the time for screening the idle charging pile parking spaces is reduced for the manual work, and the working efficiency is improved.

Fig. 2 is a schematic structural diagram of an intelligent parking lot service system based on big data analysis according to an embodiment of the present invention. The intelligent parking lot service system based on big data analysis comprises a mobile terminal, an image shooting module, an image analysis module and a parking prompt module; wherein the content of the first and second substances,

the mobile terminal is used for wirelessly connecting with the automobile so as to obtain the current battery residual capacity of the automobile; determining the maximum distance length that the automobile can travel according to the residual electric quantity of the battery, determining all charging pile parking lots existing in a range covered by the maximum distance length, and determining a target charging pile parking lot that the automobile can reach at the fastest speed from all the charging pile parking lots based on road traffic state big data;

this parking suggestion module is used for confirming the relative position relation between this idle electric pile parking stall and the car of filling to instruct the car to stop to fill on this idle electric pile parking stall.

The beneficial effects of the above technical scheme are: the intelligent parking lot service system based on big data analysis determines the maximum distance length that an automobile can travel by acquiring the current battery residual capacity of the automobile, and determines a target charging pile parking lot that the automobile can reach as quickly as possible within the range covered by the maximum distance length; when an automobile arrives at a target charging pile parking lot, acquiring an internal environment image of the parking lot, and analyzing the internal environment image of the parking lot to determine a corresponding idle charging pile parking space; and finally, indicating the automobile to park on the idle charging pile parking space according to the relative position relation between the automobile and the idle charging pile parking space, automatically searching a target charging pile parking space which can be reached by the automobile as soon as possible based on the battery residual capacity of the automobile, and further indicating the automobile to park on the idle charging pile parking space quickly in the target charging pile parking space, so that the convenience and the automation degree of the automobile in searching and parking on the charging pile parking space are improved, and the intellectualization and the automation degree of the parking lot service are improved.

Preferably, the mobile terminal is in wireless connection with the automobile so as to obtain the current battery residual capacity of the automobile; determining the maximum distance that the automobile can travel according to the residual battery capacity specifically comprises the following steps:

and obtaining the maximum distance length that the automobile can run according to the residual battery capacity and the corresponding battery capacity value required to be consumed per unit distance of running.

The beneficial effects of the above technical scheme are: carry out wifi or bluetooth mode's wireless connection through mobile terminal such as smart mobile phone with new energy automobile, mobile terminal can carry out data information interactive transmission with new energy automobile's central controller like this. The central controller is connected with a lithium battery end of the new energy automobile, so that the central controller can obtain the current battery residual capacity of the lithium battery, the central controller also records the battery capacity consumption information of the new energy automobile in the historical driving process, and then the mobile terminal can directly obtain the corresponding battery residual capacity and the battery capacity consumption information in the historical driving process from the central controller. Then, the mobile terminal can further process the battery power consumption information during the historical driving process, so as to determine the corresponding battery power consumption value required to be consumed per unit distance (such as 1km) traveled by the automobile during the historical driving process. And finally, dividing the residual battery capacity by the corresponding battery capacity value to be consumed per unit distance of travel by the mobile terminal to obtain the theoretical maximum distance length of the new energy automobile, wherein when the actual distance of travel of the new energy automobile is greater than the maximum distance length, the capacity of the lithium battery in the new energy automobile is completely consumed. Through calculating this maximum distance length, can ensure to look for suitable electric pile parking area in the distance length range that new energy automobile allows to go.

Preferably, the determining, by the mobile terminal, all charging pile parking lots existing in a range covered by the maximum distance length, and determining, based on the road traffic state big data, a target charging pile parking lot that an automobile can reach the fastest from all charging pile parking lots specifically includes:

loading the maximum distance length into an electronic map through the mobile terminal, and accordingly determining all charging pile parking lots existing in a circular area range formed by taking the current position of the automobile as the center of a circle and the maximum distance length as the radius;

and comparing the estimated running time corresponding to all the charging pile parking lots respectively, so that the charging pile parking lot corresponding to the minimum estimated running time is used as a target charging pile parking lot which can be reached by the automobile at the fastest speed.

Preferably, this image shooting module is used for after the car arrives the target charging stake parking area, obtains the car and specifically includes at the inside parking area internal environment image of the inside in-process of traveling in target charging stake parking area:

and the number of the first and second groups,

this image analysis module is used for analyzing this parking area internal environment image to this spare of confirming target charging stake parking area inside fills electric pile parking stall and specifically includes:

and (c) a second step of,

this parking suggestion module is used for confirming the relative position relation between this idle electric pile parking stall and the car of filling to instruct the car to stop and specifically include on this idle electric pile parking stall of filling:

determining an idle charging pile parking space closest to the automobile from all the idle charging pile parking spaces, and determining the relative position relation between the idle charging pile parking space closest to the automobile and the automobile; and generating a corresponding parking voice indication message according to the relative position relation, so as to indicate that the automobile stops at the nearest idle charging pile parking space.

The beneficial effects of the above technical scheme are: generally speaking, after new energy automobile reachd the target and fills electric pile parking area, all that the driver utilizes naked eye to look for the idle electric pile parking stall that fills, this kind of mode of manual searching is not only inefficient to still miss the idle electric pile parking stall of filling easily. Therefore, panoramic scanning shooting is carried out on the internal environment of the parking lot by utilizing image shooting modules such as vehicle-mounted cameras and the like installed on the new energy automobile, so that a corresponding panoramic image of the internal environment of the parking lot is obtained. Subsequently, the panoramic image of the internal environment of the parking lot is subjected to recognition processing, all the idle charging pile parking spaces in the target charging pile parking lot are determined, and the idle charging pile parking space closest to the new energy automobile is selected from the idle charging pile parking spaces. And finally, determining a relative position relation between the nearest idle charging pile parking space and the new energy automobile, wherein the relative position relation can include but is not limited to relative distance and/or relative orientation and the like, and generating a corresponding parking voice indication message according to the relative position relation by utilizing an automatic navigation parking function of the new energy automobile, so that a driver can park the new energy automobile at the nearest idle charging pile parking space according to the parking voice indication message, thereby greatly saving the parking time of the new energy automobile and improving the reliability and safety of parking.

According to the content of the embodiment, the intelligent parking lot service method and system based on big data analysis determine the maximum distance length that the automobile can travel by acquiring the current battery residual capacity of the automobile, and determine the target charging pile parking lot that the automobile can reach the fastest within the range covered by the maximum distance length; when an automobile arrives at a target charging pile parking lot, acquiring an internal environment image of the parking lot, and analyzing the internal environment image of the parking lot to determine a corresponding idle charging pile parking space; and finally, indicating the automobile to park on the idle charging pile parking space according to the relative position relation between the automobile and the idle charging pile parking space, automatically searching a target charging pile parking space which can be reached by the automobile as soon as possible based on the battery residual capacity of the automobile, and further indicating the automobile to park on the idle charging pile parking space quickly in the target charging pile parking space, so that the convenience and the automation degree of the automobile in searching and parking on the charging pile parking space are improved, and the intellectualization and the automation degree of the parking lot service are improved.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims

1. The intelligent parking lot service method based on big data analysis is characterized by comprising the following steps:

in step S3, after the vehicle arrives at the target charging pile parking lot, acquiring an image of an internal environment of the parking lot during driving of the vehicle in the target charging pile parking lot; analyzing the environment image inside the parking lot to determine an idle charging pile parking space inside the target charging pile parking lot; and determining the relative position relation between the idle charging pile parking space and the automobile, thereby indicating that the automobile is parked on the idle charging pile parking space specifically comprises:

in step S302, identifying all the idle charging pile parking spaces in the target charging pile parking lot from the panoramic image of the internal environment of the parking lot specifically includes:

in the above formula (1), (x)_a，y_a) A center coordinate point representing an a-th parking space of the parking lot; δ (a) represents an output value corresponding to whether an annotation point exists on the a-th parking space of the parking lot after image recognition, wherein δ (a) is 1 and represents that the annotation point exists on the a-th parking space of the parking lot after image recognition, and δ (a) is 0 and represents that the annotation point does not exist on the a-th parking space of the parking lot after image recognition; [ x ] of_a(max)，y_a(max)]Representing the coordinates of a marking point farthest from the origin in the a-th parking space; [ x ] of_a(min)，y_a(min)]Representing the coordinate of the marking point closest to the origin in the a-th parking space;

if (x)_a，y_a) If the number of the charging piles is not equal to (0,0), it indicates that the charging pile does not exist in the a-th parking space, that is, the a-th parking space does not belong to the charging pile parking space, and then the corresponding annotation point is automatically screened out in the subsequent step S3023；

If (x)_a，y_a) Not (0,0), then indicate that there is charging pile in the a-th parking stall, that is the a-th parking stall belongs to charging pile parking stall to its charging pile parking stall center coordinate point that corresponds is (x)_a，y_a)；

in the above formula (2), H [ x (i), y (i)]The coordinates of the ith pixel point in the panoramic image of the internal environment of the parking lot are represented as [ x (i), y (i)]Marking a corresponding pixel value; [ x ] of_k(t)，y_k(t)]Representing the t-th coordinate point on the k-th automobile determined by image recognition of the panoramic image of the environment inside the parking lot; t is_kThe total number of coordinate points on the kth automobile determined by image recognition of the panoramic image of the environment inside the parking lot is represented; k represents the total number of the automobiles determined by image recognition of the panoramic image of the internal environment of the parking lot; f { [ x (i), y (i)]，[x_k(t)，y_k(t)]Denotes an alignment function if [ x (i), y (i)]And [ x ]_k(t)，y_k(t)]If the coordinate points are the same, the function value of the comparison function is 1, otherwise, the function value is 0;

in the above formula (3), S (x)_a，y_a) Representing a screening value corresponding to the a-th parking space; h (x)_a，y_a) A center coordinate point (x) indicating the a-th parking space of the parking lot obtained in the above step S3022_a，y_a) Marking a corresponding pixel value;

if S (x)_a，y_a) The method comprises the following steps that 1, the fact that the a-th parking space does not belong to a charging pile parking space or a car is parked on the parking space is indicated, and the corresponding a-th parking space needs to be screened and removed;

if S (x)_a，y_a) The method comprises the following steps that (1) 0, the fact that the a-th parking space belongs to a charging pile parking space and no automobile is parked on the parking space is shown, and the corresponding a-th parking space does not need to be screened and removed;

and marking all parking spaces which are not screened and removed as free charging pile parking spaces.

2. The intelligent parking lot service method based on big data analysis according to claim 1, wherein:

in step S1, wirelessly connecting the mobile terminal of the driver with the vehicle, so as to obtain the current remaining battery capacity of the vehicle; determining the maximum distance that the automobile can travel according to the residual battery capacity specifically comprises the following steps:

3. The intelligent parking lot service method based on big data analysis according to claim 1, wherein:

in step S2, the determining, by the mobile terminal, all charging pile parking lots existing in the range covered by the maximum distance length, and determining, based on the road traffic state big data, a target charging pile parking lot that an automobile can reach the fastest from among all charging pile parking lots specifically includes:

4. The intelligent parking lot service system based on big data analysis is characterized by comprising a mobile terminal, an image shooting module, an image analysis module and a parking prompt module; wherein the content of the first and second substances,

wherein, the image shooting module is used for after the car arrives the target and fills electric pile parking area, obtains the car and specifically includes at the inside parking area internal environment image of the inside in-process of traveling in target charging pile parking area:

after the automobile arrives at the target charging pile parking lot, scanning and shooting the internal environment of the parking lot in the driving process of the automobile in the target charging pile parking lot so as to obtain a panoramic image of the internal environment of the parking lot;

and the number of the first and second groups,

determining an idle charging pile parking space closest to the automobile from all the idle charging pile parking spaces, and determining the relative position relation between the idle charging pile parking space closest to the automobile and the automobile;

generating a corresponding parking voice indication message according to the relative position relation, so as to indicate that the automobile is parked at the nearest idle charging pile parking space;

wherein, follow discernment obtains all idle electric pile parking stalls that fill in target charging pile parking area inside in the parking area internal environment panoramic image specifically include:

in the above formula (1), (x)_a，y_a) A center coordinate point representing an a-th parking space of the parking lot; δ (a) represents an output value corresponding to whether or not an annotation point is present in the a-th parking space of the parking lot, wherein δ (a) represents the presence of the annotation point by performing image recognition on the a-th parking space of the parking lot when δ (a) is 1, and δ (a) represents the a-th parking space of the parking lot when δ (a) is 0Carrying out image identification on the position to determine that no marking point exists; [ x ] of_a(max)，y_a(max)]Representing the coordinates of a marking point farthest from the origin in the a-th parking space; [ x ] of_a(min)，y_a(min)]Representing the coordinate of the marking point closest to the origin in the a-th parking space;

if (x)_a，y_a) If the number is (0,0), it indicates that no charging pile exists in the a-th parking space, that is, the a-th parking space does not belong to the charging pile parking space, and then the corresponding annotation point is automatically screened out in the subsequent step S3023;

Step S3022, performing image recognition on the panoramic image of the parking lot internal environment, thereby recognizing all cars in the panoramic image of the parking lot internal environment, and labeling the pixel values of the coordinates of all cars parked in the parking lot as 1 by using the following formula (2),

in the above formula (2), H [ x (i), y (i)]The coordinates of the ith pixel point in the panoramic image of the internal environment of the parking lot are [ x (i), y (i)]Marking a corresponding pixel value; [ x ]_k(t)，y_k(t)]Representing the t-th coordinate point on the k-th automobile determined by image recognition of the panoramic image of the environment inside the parking lot; t is_kThe total number of coordinate points on the kth automobile determined by image recognition of the panoramic image of the environment inside the parking lot is represented; k represents the total number of the automobiles determined by image recognition of the panoramic image of the internal environment of the parking lot; f { [ x (i), y (i)]，[x_k(t)，y_k(t)]Denotes an alignment function if [ x (i), y (i)]And [ x ]_k(t)，y_k(t)]If the coordinate points are the same, the function value of the comparison function is 1, otherwise, the function value is 0;

if S (x)_a，y_a) The method comprises the following steps that 1, the first parking space does not belong to a charging pile parking space or a vehicle is parked on the parking space, and the corresponding first parking space needs to be screened and removed;

5. The intelligent parking lot service system based on big data analysis of claim 4, wherein:

the mobile terminal is in wireless connection with the automobile so as to obtain the current battery residual capacity of the automobile;

determining the maximum distance that the automobile can travel according to the residual battery capacity specifically comprises the following steps:

6. The intelligent parking lot service system based on big data analysis of claim 4, wherein:

the mobile terminal determines all charging pile parking lots existing in a range covered by the maximum distance length, and determines a target charging pile parking lot which can be reached by an automobile at the fastest speed from all charging pile parking lots based on the road traffic state big data, wherein the step of determining the target charging pile parking lot specifically comprises the following steps: