CN107341755B - Method and system for managing shared single-vehicle parking in urban strict control area - Google Patents
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Abstract
A shared single-vehicle parking management method in a strict city district is characterized in that an accelerometer is mounted on a vehicle body of a shared single vehicle, after the vehicle is locked, a vehicle-mounted processor starts to collect signals of the accelerometer until a next code is scanned, when a user uses the vehicle, if the shared single vehicle is outside a parking area, a shared single-vehicle parking picture is shot firstly after the code is scanned, the shot picture and the position information are uploaded to a cloud end platform, the cloud end platform judges whether the accelerometer signals are invalid signals all the time before the code is scanned after the vehicle is returned last time, if so, whether the shared single vehicle is outside the parking area is judged, and if so, the last user illegally parks the vehicle is judged. And the posture of the bicycle is judged through the accelerometer, so that the user is effectively guided to preferentially use the pushed vehicle, the appearance of the city is improved, and the bicycle is protected.
Description
Technical Field
The invention belongs to the technical field of shared bicycles, and particularly relates to a method and a system for managing parking of a shared bicycle in an urban strict control area.
Background
In recent years, shared bicycles are spread over the sky and land to enter the lives of the general public, the putting amount of the first-line city is over million, and the second-line city is hundreds of thousands. Although sharing a single car solves the last mile of traffic, it lacks administrative planning since it is enterprise activity. In order to seize users, enterprises increase the putting amount in succession, so that the number of the single vehicles in some areas is far saturated, the vehicles do not have legal and reasonable parking positions, and pedestrian ways and even motor vehicle lanes are invaded.
Recently, in order to solve the parking problem of the shared bicycle, the government and the enterprises have adopted a lot of measures in cooperation, mainly including the following two aspects:
firstly, directly marking on the ground.
This approach is conventional with little cost, but it is highly dependent on user quality, and there is no restriction mechanism if the user does not stop the vehicle within the line. Correspondingly, many users are not willing to stop the vehicle within the marking range for the convenience of the users when using the bicycle, and even people can put the vehicle down arbitrarily to damage the vehicle.
Electronic fence
The electronic fence is a new technology, and the line marking range is enclosed into an electronic area through the Internet of things mode, and car returning and payment can be completed only in the area, otherwise, the charging is always carried out. The parking problem is solved well in this way, however, the intelligent piles need to be built, and the cost is high. With the expansion of the application range of the shared bicycle, the electronic fence is not necessarily used in some non-key areas such as suburbs.
In each city, there are some areas of emphasis, which we can refer to as strict districts. In these areas, the traffic and the personnel capacity are saturated, and once a single vehicle is parked randomly, the traffic is seriously influenced, and hidden dangers of traffic safety and fire safety are also generated. Therefore, strict management is required for shared vehicles in these areas. In some areas with loose capacity, such as suburbs and rural areas, too strict management is not needed, and the administrative optimal effect can be achieved only by reason of proper conditions.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide a method and a system for managing the shared single-vehicle parking in an urban strict region, which can realize the problem of shared single-vehicle parking in a key region at lower cost.
In order to achieve the purpose, the invention adopts the technical scheme that:
a shared bicycle parking management method in an urban strict control area is characterized in that an accelerometer is mounted on a bicycle body of a shared bicycle, after the bicycle is locked, a vehicle-mounted processor starts to acquire signals of the accelerometer until a code is scanned next time, when a user uses the bicycle, if the shared bicycle is outside a parking area, after the code is scanned, a shared bicycle parking photo is shot first, and the shot photo and position information are uploaded to a cloud-end platform, wherein the shot photo is a long-range photo; the cloud platform judges whether the accelerometer signal is an invalid signal all the time after the last return of the vehicle and before the code scanning, if so, judges whether the shared vehicle is outside the parking area, if so, judges that the last user illegally parks the vehicle, and the invalid signal is an effective signal when the acceleration data is lower than a preset low value and the acceleration data is higher than the preset low value.
The parking areas are arranged in a plurality of strict control areas, when the cloud platform receives the uploaded information, whether the position information is in the strict control areas is judged, if so, whether the parking areas are parked is judged, the strict control areas refer to large-scale areas defined by government departments, generally areas which are more luxurious, have larger people flow and are easy to generate traffic and fire-fighting hidden dangers, and a plurality of parking areas are defined in one strict control area; if not, the output is not violated; the location information is provided by the GPS of the scanned shared bicycle.
The long-range photo means that the photo comprises the whole body and the surrounding environment of the shared bicycle, and the area of the shared bicycle in the image accounts for 1/4-1/3 of the whole image.
The parking area is a parking line frame marked by the same color, the cloud platform adopts an image recognition algorithm, whether the picture is a long-shot picture or not is judged at first, and if the picture is not the long-shot picture, the picture is output as unrecognizable; if the shared bicycle is a long-shot photo, judging whether the color exists in the photo, and if the color does not exist in the photo, directly judging that the shared bicycle is outside a parking area; if so, manually identifying whether the parking area is in the parking area.
If the accelerometer signal appears as an effective signal after the last three minutes of returning the car and before the code scanning, the previous user is not judged to illegally park; and if the accelerometer signal appears as a valid signal within three minutes of the last time when the vehicle returns and before the code is scanned, the previous user is not judged to illegally stop, but the previous user is listed in the attention directory.
If the accelerometer signal is changed violently after the previous vehicle returning, the single vehicle is judged to be pushed down by a person, when a user opens the app within the range of 500 meters of the shared single vehicle, the information of the pushed down single vehicle is pushed to the user, the user is guided to use the pushed down single vehicle preferentially, and the violent change signal means that the acceleration data is larger than a preset high value.
The invention also provides a shared single-vehicle parking management system in the urban strict control area, which comprises the following steps:
an accelerometer mounted on the body of the shared bicycle;
the microprocessor of the shared bicycle is connected with the accelerometer to control the work of the accelerometer and receive the acceleration signal acquired by the accelerometer;
the wireless communication unit is connected with the microprocessor and sends the acceleration signal to the outside;
the photographing unit is used for calling a camera of a mobile phone of a user to take a picture;
the photo and position information sending unit calls the user mobile phone communication unit and sends the photo and position information to the cloud platform;
the cloud platform receives the acceleration signal, the photo and the position information, judges whether the automobile is in a strict area or not according to the position information, judges whether a person moves the automobile or not after the last user parks according to the acceleration signal if the automobile is in the strict area, and judges whether the automobile is in the parking area or not according to the photo by using an image recognition algorithm.
The wireless communication unit is a Bluetooth module, after a user scans a code, an acceleration signal is transmitted to a user mobile phone in a Bluetooth mode, and then the acceleration signal, a photo and position information are sent to the cloud-end platform together by the user mobile phone; or the wireless communication unit is a gprs module and directly sends the acceleration signal to the cloud-end platform;
if the wireless communication unit is the Bluetooth module, when the user returns the car, the car returning information is received by the Bluetooth module and recorded in the microprocessor, meanwhile, the charging information and the successful car returning prompt are returned to the user, the sharing bicycle is locked, the user pays the fee after entering the WiFi environment, and the shot photos are uploaded.
The accelerometer is the triaxial accelerometer, according to the acceleration data on all directions to and experience big data, sets for minimum and maximum, according to minimum and maximum, will share the bicycle and judge as: the mobile terminal is not moved, is moved violently, and if the mobile terminal is moved violently, the mobile terminal is turned over maliciously.
The sharing bicycle APP is arranged in to the unit of shooing, has automatic focusing and fixed central viewfinder frame, and central viewfinder frame size accounts for 1/4~1/3 of whole interface size of shooing, and the sharing bicycle is located during the shooting in the central viewfinder frame, the time of shooing and the position of shooing are taken in the unit embedding of shooing.
The accelerometer, the microprocessor and the wireless communication unit are connected with a power module for supplying power, and the power module adopts a solar battery in a basket for charging or adopts a rear wheel driving coil for generating power and charging.
The parking area is internally provided with an oblique line with the same color as the parking line frame so as to facilitate computer image recognition.
Compared with the prior art, the invention can realize parking management with lower cost, the added hardware is only an accelerometer, and the rest is software calculation, and the long-term cost is far lower than that of the electronic fence technology. And the posture of the bicycle is judged through the accelerometer, so that the user is effectively guided to preferentially use the pushed vehicle, the appearance of the city is improved, and the bicycle is protected.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention.
FIG. 2 is a flow chart of a determination method of the present invention.
Detailed Description
The embodiments of the present invention will be described in detail below with reference to the drawings and examples.
Example 1
As shown in fig. 1, the shared single-vehicle parking management system in the urban strict control area of the invention comprises a single-vehicle end, a user mobile phone end and a remote cloud end. The bicycle end comprises an original microprocessor, a wireless communication unit, a GPS unit and the like of the bicycle and an accelerometer which is newly added. The wireless communication unit can be a gprs module and directly sends the acceleration signal to a remote cloud. The user mobile phone end is an existing APP, the photographing unit is additionally arranged on the APP, the mobile phone camera is called when the photographing unit is triggered to photograph, and the photo is sent to the remote cloud end through the mobile phone communication unit. The shooting time and the shooting position are automatically embedded into the shooting unit, and the shooting position is acquired by a shared bicycle GPS acquired during code scanning, or is automatically acquired by a remote cloud according to the number of the shared bicycle. The photographing unit can adopt software to force automatic focusing and fix the central view-finding frame, so that the size of the central view-finding frame accounts for 1/4-1/3 of the size of the whole photographing interface, and the sharing bicycle is positioned in the central view-finding frame during photographing so as to unify the scene size of the photos and facilitate digital image processing. The remote cloud is a cloud platform, receives the photo, calls a digital image algorithm for recognition, and makes a series of reward and punishment measures after recognition.
The algorithm of the cloud platform comprises the following steps:
and presetting a low value and a high value of the acceleration signal, wherein the low value is used as a standard for judging valid signals and invalid signals, and the high value is used as a standard for judging whether violent signals exist in the valid signals or not.
And judging whether the position of the bicycle is in a strict pipe area.
And calling a digital image algorithm to judge whether the bicycle is outside the parking area.
The accelerometer is triaxial accelerometer, according to the acceleration data in all directions to and experience big data, sets for minimum and maximum, according to minimum and maximum, will share the bicycle and judge as: the mobile terminal is not moved, is moved violently, and if the mobile terminal is moved violently, the mobile terminal is turned over maliciously.
The accelerometer, the microprocessor and the wireless communication unit are connected with a power module for supplying power, and the power module adopts a solar battery in a basket for charging or adopts a rear wheel driving coil for power generation or vibration for power generation and charging.
Specifically, the method comprises the following steps:
as shown in FIG. 2, in normal use, the signals of the accelerometer are not collected, so that energy consumption and storage space are saved. After the vehicle is locked, the on-board processor starts to acquire signals of the accelerometer until the next code scanning is carried out.
When the user uses the car, open the APP, after sweeping the sign indicating number, the unit of shooing is activated, if the sharing bicycle is outside parking area, then shoot sharing bicycle earlier and park the photo, upload to cloud end platform the photo of shooing and position information of locating.
The cloud platform judges whether the accelerometer signal is an invalid signal all the time after the last return of the vehicle and before the code scanning, if so, judges whether the shared vehicle is outside the parking area, and if so, judges that the last user illegally parks.
The principle is as follows: if the signal is an invalid signal after the previous vehicle returning and before the code scanning, the fact that the shared vehicle is not moved within the time range is indicated, and at the moment, if the shared vehicle is outside the parking area, the fact that the last user violates the parking is indicated.
The long-range photo means that the photo comprises the whole body and the surrounding environment of the sharing bicycle, and the area of the sharing bicycle in the image accounts for 1/5-1/3 of the whole image, and the long-range photo can be preset in the photographing unit.
Digital image algorithms are color-based image recognition. The parking area is drawn out by the same color, the algorithm firstly judges whether the picture is a long-shot picture, if not, the picture is output as unrecognizable picture (under the condition of presetting a photographing unit, the phenomenon basically does not occur). If the shared bicycle is a long-shot photo, judging whether the color exists in the photo, and if the color does not exist in the photo, directly judging that the shared bicycle is outside a parking area; if so, manually identifying whether the parking area is in the parking area.
Considering the difference of the mobile phone photographing quality of the photographer, the range of the RGB parameters can be widened for the determination of the same color. For the convenience of recognition, a diagonal line of the same color as the parking line frame may be drawn in the parking area.
When manual identification is needed, the judgment is simple, the operation can be quickly finished, and a large amount of manpower can not be occupied.
After the violation is judged, the current user can be rewarded for a certain amount, and the previous user is punished for a certain amount, so that the behavior of the user is adjusted.
Example 2
In some cases, for example, the user does not want to use his own mobile phone traffic, or the usage environment has a poor gprs signal, the bluetooth module is installed on the bicycle. After the user scans the code, the bicycle end transmits the acceleration signal to the user mobile phone in a Bluetooth mode, and the user mobile phone sends the acceleration signal, the photo and the position information to the cloud end platform together when being in a WiFi environment.
In the mode, when the user returns the car, the car returning information can be received by the Bluetooth module and recorded in the microprocessor, meanwhile, the charging information and the successful car returning prompt are returned to the user, the sharing bicycle is locked, and the user can pay only after entering the WiFi environment.
The purpose of this embodiment is, on the one hand, to save the flow, on the other hand, can also accomplish the operation of returning the car, operation of getting the car, operation of collecting evidence under the not good condition of gprs signal.
Example 3
The urban interior is divided into a plurality of strict control areas, the parking areas are arranged in the strict control areas, the strict control areas refer to large-scale areas which are divided by government departments and are generally areas which are more luxurious, have larger people flow and are easy to generate traffic and fire-fighting hidden dangers, and a plurality of parking areas are divided in one strict control area.
When the cloud platform receives the uploaded information, whether the position information is in a strict management area is judged, if yes, whether the vehicle is parked in a parking area is judged, and if not, the vehicle is output as not illegal.
The purpose of this embodiment is to only use the key area as the scope of the illegal parking determination, and for some non-key areas, such as suburbs and rural areas, there is no need to determine and punish illegal parking.
Example 4
Further, a delay time, such as 3-5 minutes, may be set, considering that some users may intentionally move the vehicle after an violation to disturb the determination result.
Assuming that the user intentionally moves the vehicle after an violation, he will not be waiting for a long time intentionally from a general point of view.
At this time, if an effective signal appears after the accelerometer signal is returned for 3-5 minutes from the last time and before the code is scanned at this time, the last user is not judged to illegally stop.
However, if the accelerometer signal appears in 3-5 minutes before the last time the vehicle is returned, and a valid signal appears before the code is scanned, the previous user is also not judged to illegally stop, but the user is listed in the attention list. If the user presents the situation multiple times, a penalty may be optionally given.
The aim of this embodiment is to reduce as far as possible the disturbances that the vehicle is intentionally moved by the vehicle driver after the return of the vehicle, which could lead to signal distortions.
Example 5
If the accelerometer signal is severely changed after the previous taxi returning, the user can be simply judged to be pushed down, and when the user opens the app within the range of 200-300 meters of the shared bicycle, the user is pushed with the information of pushing down the bicycle, so that the user is guided to preferentially use the pushed down bicycle.
The aim of this embodiment is to make maximum use of the already installed accelerometers to determine the attitude of the vehicle from its signals, and if it is determined that the vehicle is overturned, to guide the user by means of an incentive measure to use the overturned vehicle preferentially, protecting the city appearance on the one hand and the bicycle on the other hand.
Example 6
Under extreme conditions, if the single vehicle is assumed to be collected by the city management personnel, whether the accelerometer before collection is an invalid signal is judged according to the serial number of the single vehicle, and if so, the last user is judged to be illegal to stop by combining the law enforcement image of the city management personnel.
It should be noted that "reward" and "penalty" are merely additional means, and are not used as protection elements in the present invention. Common ways of "reward", "punishment" are, for example, points, prizes, etc., which aim to guide the effect.
Claims (9)
1. A shared bicycle parking management method in an urban strict district is characterized in that an accelerometer is mounted on a body of a shared bicycle, after a vehicle is locked, a vehicle-mounted processor starts to collect signals of the accelerometer until a next code scanning is carried out, when a user uses the vehicle, if the shared bicycle is outside a parking area, a shared bicycle parking photo is shot firstly after the code scanning, and shot photos and position information are uploaded to a cloud-end platform, wherein the shot photos are long-range photos, the long-range photos mean that the photos comprise the whole body and the surrounding environment of the shared bicycle, and the area of the shared bicycle in an image accounts for 1/4-1/3 of the whole image; the cloud platform judges whether the accelerometer signal is an invalid signal all the time after the last return of the vehicle and before the code scanning, if so, judges whether the shared vehicle is outside the parking area, if so, judges that the last user illegally parks the vehicle, and the invalid signal is an effective signal when the acceleration data is lower than a preset low value and the acceleration data is higher than the preset low value.
2. The urban restricted area shared bicycle parking management method according to claim 1, wherein the parking areas are arranged in a plurality of restricted areas, and when receiving the uploaded information, the cloud platform first determines whether the position information is in the restricted areas, and if so, determines whether the parking areas are parked, wherein the restricted areas refer to a large area defined by a government department, and a plurality of parking areas are defined in one restricted area; if not, the output is not violated; the location information is provided by the GPS of the scanned shared bicycle.
3. The method for managing the shared single-vehicle parking in the urban strict region according to claim 1, wherein the parking region is a parking wire frame drawn by the same color, the cloud platform adopts an image recognition algorithm to firstly judge whether the photo is a long-shot photo, and if the photo is not a long-shot photo, the photo is output as unrecognizable; if the shared bicycle is a long-shot photo, judging whether the color exists in the photo, and if the color does not exist in the photo, directly judging that the shared bicycle is outside a parking area; if so, manually identifying whether the parking area is in the parking area.
4. The method for managing the shared single-vehicle parking in the urban strict region according to claim 1, wherein if the accelerometer signal is a valid signal after the last three minutes of returning the vehicle and before the code scanning, the previous user is not determined to illegally park; and if the accelerometer signal appears as a valid signal within three minutes of the last time when the vehicle returns and before the code is scanned, the previous user is not judged to illegally stop, but the previous user is listed in the attention directory.
5. The method as claimed in claim 1, wherein if the accelerometer signal changes dramatically after the previous vehicle return, it is determined that the vehicle is pushed down by a person, and within 200 meters of the shared vehicle, when a user opens an app, information about the pushed down vehicle is pushed to the user to guide the user to use the pushed down vehicle preferentially, and the drastic change signal indicates that acceleration data is greater than a preset high value.
6. A sharing bicycle parking management system in an urban strict control area is characterized by comprising:
an accelerometer mounted on the body of the shared bicycle;
the microprocessor of the shared bicycle is connected with the accelerometer to control the work of the accelerometer and receive the acceleration signal acquired by the accelerometer;
the wireless communication unit is connected with the microprocessor and sends the acceleration signal to the outside;
the photographing unit is used for calling a camera of a mobile phone of a user to take a picture;
the photo and position information sending unit calls the user mobile phone communication unit and sends the photo and position information to the cloud platform;
the cloud platform receives the acceleration signal, the photo and the position information, judges whether the automobile is in a strict area or not according to the position information, judges whether a person moves the automobile or not after the last user parks according to the acceleration signal if the automobile is in the strict area, and judges whether the automobile is in the parking area or not according to the photo by using an image recognition algorithm.
7. The system for managing the shared bicycle parking in the urban strict district as claimed in claim 6, wherein the wireless communication unit is a Bluetooth module, and after a user scans a code, an acceleration signal is transmitted to a user mobile phone in a Bluetooth mode, and then the acceleration signal is transmitted to the cloud-end platform together with a photo and position information by the user mobile phone; or the wireless communication unit is a gprs module and directly sends the acceleration signal to the cloud-end platform;
if the wireless communication unit is the Bluetooth module, when the user returns the car, the car returning information is received by the Bluetooth module and recorded in the microprocessor, meanwhile, the charging information and the successful car returning prompt are returned to the user, the sharing bicycle is locked, the user pays the fee after entering the WiFi environment, and the shot photos are uploaded.
8. The system for managing parking of shared single cars in urban strict control areas according to claim 6, wherein the accelerometer is a three-axis accelerometer, and sets a minimum value and a maximum value according to acceleration data in all directions and empirical data, and determines a shared single car as: the mobile terminal is not moved, is moved violently, and if the mobile terminal is moved violently, the mobile terminal is turned over maliciously.
9. The parking management system for the shared bicycle in the urban strict district, according to claim 6, is characterized in that the photographing unit is arranged in the shared bicycle APP and is provided with an automatic focusing and fixed central view-finding frame, the size of the central view-finding frame accounts for 1/4-1/3 of the size of the whole photographing interface, the shared bicycle is located in the central view-finding frame when photographing, and the photographing unit is embedded in photographing time and photographing position.
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| CN201710578626.4A CN107341755B (en) | 2017-07-17 | 2017-07-17 | Method and system for managing shared single-vehicle parking in urban strict control area |
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| CN109034963B (en) * | 2018-07-16 | 2022-11-11 | 宁波美喵科技有限公司 | Shared bicycle supervision method based on big data |
| CN109147200A (en) * | 2018-07-24 | 2019-01-04 | 李公健 | Identify the whether correct management system of angle and distance of vehicle heading and road |
| CN109218611A (en) * | 2018-08-14 | 2019-01-15 | 宁波市鄞州乐可机电科技有限公司 | A kind of camera shooting evidence-obtaining method when shared bicycle is returned the car |
| CN109285342A (en) * | 2018-11-02 | 2019-01-29 | 深圳市泰比特科技有限公司 | A kind of shared bicycle stopping a train at a target point system and parking method |
| CN111222385B (en) * | 2018-11-27 | 2023-10-27 | 千寻位置网络有限公司 | Method and device for detecting bicycle illegal parking, shared bicycle and detection system |
| CN114373293B (en) * | 2019-11-20 | 2023-03-07 | 北京一通智能科技有限公司 | Electronic fence, shared bicycle parking system and parking method |
| CN114084028B (en) * | 2021-11-29 | 2022-06-28 | 湖南福瑞康电子有限公司 | Intelligent bicycle charging intelligent control management system based on artificial intelligence |
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| CN106709583A (en) * | 2017-01-13 | 2017-05-24 | 上海量明科技发展有限公司 | Shared-vehicle parking management method, client and system |
| CN106604233A (en) * | 2017-02-14 | 2017-04-26 | 北斗导航位置服务（北京）有限公司 | Intelligent sharing car rental charging method based on satellite positioning and system thereof |
| CN106938680B (en) * | 2017-04-10 | 2023-08-29 | 南京信息职业技术学院 | Shared bicycle appointed parking system |
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