WO2018233073A1

WO2018233073A1 - Parking navigation path generation system and method capable of selecting parking space automatically

Info

Publication number: WO2018233073A1
Application number: PCT/CN2017/100387
Authority: WO
Inventors: 杜光东
Original assignee: 深圳市盛路物联通讯技术有限公司
Priority date: 2017-06-21
Filing date: 2017-09-04
Publication date: 2018-12-27
Also published as: CN107256640A

Abstract

A parking navigation path generation system and method capable of selecting parking space automatically, the method comprising: identifying the vehicle type of a vehicle where a wireless terminal (401) is located and identifying a parking space type suitable for the vehicle type (102); Searching for all vacant parking spaces having sizes corresponding to the vehicle type in a scope of administration, sending position identifiers of all found vacant parking spaces to the wireless terminal (401), and a driver selecting any one of all the found vacant parking spaces as a target parking space (103); querying weather information corresponding to the target parking space within a preset period of time and issuing same to the wireless terminal (401) (104); and when indication information reported by the wireless terminal (401) indicates that a parking navigation path needs to be generated, generating a parking navigation path between the target parking space and the current vehicle position, and sending the same to the wireless terminal (401) for parking navigation (105). With the present invention, a parking space suitable for a vehicle type may be found rapidly so as to park the vehicle, and a driver may thus obtain weather information corresponding to the parking space within the preset period of time in advance so as to make preparations for vehicle protection during parking.

Description

Parking navigation path generation system and method capable of self-selected parking spaces

Technical field

The present invention relates to the field of Internet of Things technologies, and in particular, to a parking navigation path generation system and method for a self-selectable parking space.

Background technique

At present, with the continuous improvement of people's living standards, China's rigid demand for automobiles has remained strong, and car ownership has maintained a rapid growth trend. In 2016, the number of newly registered cars reached 27.52 million, and the net increase of possession was 22.12 million. The highest level. There are 49 cities in the country with more than 1 million vehicles, 18 cities with more than 2 million cars, and 6 cities with more than 3 million cars. Among them, 18 cities with more than 2 million cars are Beijing, Chengdu, Chongqing, Shanghai, Shenzhen, Suzhou, Tianjin, Zhengzhou, Xi'an, Hangzhou, Wuhan, Guangzhou, Shijiazhuang, Dongguan, Nanjing, Qingdao, Ningbo, Foshan. .

In the process of maintaining a rapid growth in car ownership, more and more parking spaces have been gradually developed in order to facilitate the parking of people. In practice, it is found that in many cases, it is difficult for a driver to quickly find a parking space suitable for his vehicle type for parking; and, for an outdoor parking space, the driver often cannot predict the weather information corresponding to the preset time of the parking space in advance, thereby Vehicle protection preparation when parking is not possible in advance, making the vehicle vulnerable to bad weather.

Summary of the invention

The embodiment of the invention discloses a parking navigation path generation system and method for a self-selectable parking space, which not only enables the driver to quickly find a parking space suitable for the vehicle type for parking, but also enables the driver to predict the parking space in advance. The weather information of the preset duration, so that the vehicle protection preparation during parking can be prepared in advance to prevent the vehicle from being damaged by bad weather.

A first aspect of the embodiments of the present invention discloses a parking navigation path generating method for a self-selectable parking space, including:

The wireless terminal reports a parking space search command including a current vehicle location of the vehicle where the wireless terminal is located to the big data analysis system;

The big data analysis system identifies a vehicle type of the vehicle and identifies a type of parking space to which the vehicle type is applicable based on the vehicle type;

The big data analysis system searches all the free parking spaces corresponding to the parking space type in its own jurisdiction, and sends the found location identifiers of all the free parking spaces to the wireless terminal, so that the wireless terminal is located The driver of the vehicle selects any free parking space as the target parking space from all the idle parking spaces found based on the location identification of all the free parking spaces;

The big data analysis system queries the weather information of the preset duration corresponding to the target parking space and sends the weather information to the wireless terminal, so that the driver of the vehicle where the wireless terminal is located determines whether the parking needs to be generated according to the weather information. Navigation path

When the indication information reported by the wireless terminal indicates that the parking navigation path needs to be generated, the big data analysis system generates a parking navigation path between the target parking space and the current vehicle location, and sends the parking navigation path Parking navigation is performed to the wireless terminal.

As an optional implementation manner, in a first aspect of the embodiments of the present invention, the wireless terminal, before reporting the parking space search command including the current vehicle location of the vehicle where the wireless terminal is located, to the big data analysis system, The method also includes:

The wireless terminal identifies whether the emotion of the driver of the vehicle in which the wireless terminal is located is stable, and if the emotion is unstable, the wireless terminal prompts the driver to stop; if the emotion is stable, the wireless terminal collects one frame of the driver at a specified time. a face image, and determining a human eye positioning rectangle from the face image, calculating an area of the human eye positioning rectangle, determining a degree of closure of the driver's eyes according to a threshold, and according to the driver The degree of eyelidness of the eye is evaluated as a value of the degree of eye fatigue, and based on the value of the degree of fatigue of the human eye, whether the eye of the driver is fatigued, and if fatigue occurs, the wireless terminal prompts the driver to stop;

The wireless terminal detects a parking space search command input by a driver of the vehicle where the wireless terminal is located, and collects a current vehicle position of the vehicle where the wireless terminal is located.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the wireless terminal identifies whether the emotion of the driver of the vehicle where the wireless terminal is located is stable, including:

The wireless terminal detects electrocardiogram data of the driver sent by a wearable device worn by a driver of a vehicle where the wireless terminal is located;

The wireless terminal performs denoising processing on the electrocardiogram data;

The wireless terminal extracts an R wave peak in the degaussed ECG data by using an electrocardiogram R wave extraction algorithm, and calculates an RR interval between adjacent R waves in the denoised processed electrocardiogram data;

The wireless terminal calculates a frequency domain indicator, a time domain indicator, and a non-linear indicator of the RR interval; wherein the frequency domain indicator includes a parasympathetic nerve activity indicator, and the time domain indicator includes a short-range heart rate variability indicator; The heart rate variability index is calculated by obtaining a root mean square of the sum of the squares of the RR gap differences; the parasympathetic nerve activity index is calculated by a fast Fourier transform; and the nonlinear index is calculated by a fractal dimension calculation method;

The wireless terminal analyzes the vitality value of the user's emotion according to the frequency domain indicator, the time domain indicator, and the non-linear indicator; the vitality value is established according to the time domain indicator, the frequency domain indicator, and the nonlinear indicator. a value calculated by a multiple linear regression equation;

The wireless terminal identifies, based on the vitality value, whether the driver's mood is unstable.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the wireless terminal reports the parking space search command including the current vehicle location of the vehicle where the wireless terminal is located to the big data analysis system, including:

The wireless terminal scans whether a routing node is preset in the surrounding environment, and if the routing node is preset, detecting whether the routing node is configured with an open access period, if the routing node is configured with the open connection a period of time, identifying whether a current system time of the wireless terminal is located in the open access period in which the routing node is configured;

If the current system time of the wireless terminal is located in the open access period in which the routing node is configured, detecting whether the number of terminals currently accessed by the routing node exceeds the maximum number of terminal access specified by the routing node ;

If the number of terminals currently accessed by the routing node does not exceed the maximum number of terminal accesses specified by the routing node, the wireless terminal establishes a wireless connection with the routing node and will include the wireless terminal A parking space search command for the current vehicle location of the vehicle is sent to the routing node, and the routing node sends a parking space search command including the current vehicle location of the vehicle in which the wireless terminal is located to the big data analysis system.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the big data analysis system queries the weather information of the preset duration corresponding to the target parking space and sends the weather information to the wireless terminal, including:

The big data analysis system determines whether a current workload of the big data analysis system exceeds a workload specified by the big data analysis system;

If the current workload of the big data analysis system does not exceed the workload specified by the big data analysis system, the big data analysis system initiates the inclusion of the weather service platform corresponding to the weather information query port through the weather information query port. a weather information inquiry request for the target parking space;

And the big data analysis system receives the weather information of the preset duration corresponding to the target parking space returned by the weather service platform through the weather information inquiry port;

And the big data analysis system sends the weather information of the preset duration corresponding to the target parking space to the wireless terminal.

A second aspect of the embodiments of the present invention discloses a parking navigation path generation system for a self-selectable parking space, including a wireless terminal and a big data analysis system, wherein:

The wireless terminal is configured to report a parking space search command including a current vehicle location of the vehicle where the wireless terminal is located to the big data analysis system;

The big data analysis system is configured to identify a vehicle type of the vehicle, and identify a parking space type applicable to the vehicle type according to the vehicle type;

The big data analysis system is further configured to find all the free parking spaces corresponding to the size of the parking space type in its own jurisdiction, and send the location identifiers of all the idle parking spaces that are found out to the wireless terminal, so as to The driver of the vehicle in which the wireless terminal is located selects any free parking space as the target parking space from all the idle parking spaces found based on the location identifiers of all the free parking spaces;

The big data analysis system is further configured to query the weather information of the preset duration corresponding to the target parking space and send the weather information to the wireless terminal, so that the driver of the vehicle where the wireless terminal is located is determined according to the weather information. Whether it is necessary to generate a parking navigation path;

The big data analysis system is further configured to: when the indication information reported by the wireless terminal indicates that a parking navigation path needs to be generated, generate a parking navigation path between the target parking space and the current vehicle location, and A parking navigation path is sent to the wireless terminal for parking navigation.

As an optional implementation manner, in the second aspect of the embodiment of the present invention:

The wireless terminal is further configured to identify a driver of the vehicle where the wireless terminal is located before reporting the parking space search command including the current vehicle location of the vehicle where the wireless terminal is located to the big data analysis system Whether the emotion is stable, if the emotion is unstable, prompting the driver to stop; if the emotion is stable, collecting a frame of the driver's face image at a specified time, and determining a human eye positioning rectangle from the face image, Calculating an area of the human eye positioning rectangle, determining a degree of clogging of the driver's eyes according to a threshold value, and evaluating a degree of human eye fatigue degree according to the degree of clogging of the driver's eyes, based on the human eye fatigue The degree value determines whether the driver's eyes are fatigued, if fatigue, prompts the driver to stop; and detects a parking space search command input by the driver of the vehicle where the wireless terminal is located, and collects the current vehicle position of the vehicle where the wireless terminal is located .

The manner in which the wireless terminal identifies whether the emotion of the driver of the vehicle where the wireless terminal is located is stable is:

The wireless terminal is configured to detect electrocardiogram data of the driver sent by a wearable device worn by a driver of a vehicle where the wireless terminal is located; perform denoising processing on the electrocardiogram data; and extract an ECG R wave extraction algorithm R-wave peak value in the noise-processed electrocardiogram data, and calculating an RR interval between adjacent R-waves in the de-noise-processed electrocardiogram data; calculating a frequency domain index, a time domain index, and a nonlinear index of the RR interval; The frequency domain indicator includes a parasympathetic nerve activity index, and the time domain index includes a short-range heart rate variability index; the short-range heart rate variability index is calculated by acquiring a root mean square of a square sum of the RR gap differences; The parasympathetic activity index is calculated by a fast Fourier transform; the nonlinear index is calculated by a fractal dimension calculation method; and the user's emotional vitality is analyzed according to the frequency domain index, the time domain index, and the nonlinear index Value; the vitality value is calculated according to the multivariate linear regression equation established by the time domain index, the frequency domain index, and the nonlinear index The value; identifying whether the value of the driver based on the viability emotional instability.

As an optional implementation manner, in a second aspect of the embodiments of the present invention, the manner in which the wireless terminal reports the parking space search command including the current vehicle location of the vehicle where the wireless terminal is located to the big data analysis system is specifically :

The wireless terminal is configured to scan whether a routing node is preset in the surrounding environment, and if the routing node is preset, detecting whether the routing node is configured with an open access period, if the routing node is configured Determining, according to an open access period, whether a current system time of the wireless terminal is located in the open access period in which the routing node is configured; if a current system time of the wireless terminal is located in a location where the routing node is configured During the open access period, detecting whether the number of terminals currently accessed by the routing node exceeds the maximum number of terminal accesses specified by the routing node; if the number of terminals currently accessed by the routing node does not exceed the route a maximum number of terminal accesses designated by the node, establishing a wireless connection with the routing node, and transmitting a parking space search command including a current vehicle location of the vehicle in which the wireless terminal is located to the routing node, by the routing The node sends a parking space search command including a current vehicle location of the vehicle in which the wireless terminal is located Said large data analysis system.

The manner in which the big data analysis system queries the weather information of the preset duration corresponding to the target parking space and delivers the weather information to the wireless terminal is specifically:

The big data analysis system is configured to determine whether the current workload of the big data analysis system is super Passing the workload specified by the big data analysis system, if the current workload of the big data analysis system does not exceed the workload specified by the big data analysis system, querying the weather information query port through the weather information query port The weather service platform initiates a weather information query request including the target parking space; receiving weather information of the preset time period corresponding to the target parking space returned by the weather service platform through the weather information query port; parking the target The weather information corresponding to the preset duration is sent to the wireless terminal;

The method further includes:

The big data analysis system is configured to identify whether the target parking space belongs to a parking space rented according to a preset time period, and if the target parking space does not belong to a parking space rented according to a preset time period, corresponding to the target parking space The normal charging rule and the actual parking time are calculated corresponding to the parking fee, and the ordinary charging rule includes a first charging amount corresponding to the unit time; if the target parking space belongs to the parking space rented according to the preset time period, determining the Whether the actual parking time of the vehicle in the target parking space exceeds the preset time period, and if the preset time period is not exceeded, the corresponding parking fee is calculated according to the ordinary charging rule corresponding to the target parking space and the actual parking time. If the preset time period is exceeded, the corresponding parking fee is calculated according to the high charging rule corresponding to the target parking space and the actual parking time, and the high charging rule includes a second charging amount corresponding to the unit time, and The second charging amount is equal to a plurality of multiples of the first charging amount; and, from the wireless End binding electronic account to deduct the appropriate parking fee. Thereby, the unmanned parking fee can be realized, and the parking charging efficiency is improved.

Compared with the prior art, the embodiment of the invention has the following beneficial effects:

In the embodiment of the present invention, not only the driver can quickly find a parking space suitable for the vehicle type for parking, but also the driver can predict the weather information of the preset time corresponding to the parking space in advance, so that the parking can be done in advance. The vehicle is prepared for protection against damage caused by bad weather.

DRAWINGS

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings to be used in the embodiments will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the present invention. Those skilled in the art can also obtain other drawings based on these drawings without paying any creative work.

1 is a schematic flow chart of a method for generating a parking navigation path of a self-selectable parking space according to an embodiment of the present invention;

2 is a schematic flowchart of a method for a wireless terminal to recognize whether a driver's emotion is stable according to an embodiment of the present invention;

3 is a schematic flow chart of another method for generating a parking navigation path of a self-selectable parking space according to an embodiment of the present invention;

FIG. 4 is a schematic structural diagram of a parking navigation path generation system for a self-selectable parking space according to an embodiment of the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. 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 obtained by a person of ordinary skill in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.

The embodiment of the invention discloses a parking navigation path generation system and method for a self-selectable parking space, which not only enables the driver to quickly find a parking space suitable for the vehicle type for parking, but also enables the driver to predict the parking space in advance. The weather information of the preset duration, so that the vehicle protection preparation during parking can be prepared in advance to prevent the vehicle from being damaged by bad weather. The details are described below separately.

Embodiment 1

Please refer to FIG. 1. FIG. 1 is a schematic flow chart of a method for generating a parking navigation path of a self-selectable parking space according to an embodiment of the present invention. As shown in FIG. 1 , the parking navigation path generating method of the optional parking space may include the following steps:

101. The wireless terminal reports the parking space search command including the current vehicle location of the vehicle where the wireless terminal is located to the big data analysis system.

In the embodiment of the present invention, the wireless communication module built in the wireless terminal can input the upper frequency point 470MHz and the lower frequency point 510MHz during production, so that the wireless communication module can automatically define the communication frequency band as 470MHz~510MHz to conform to the Chinese SRRC standard. Or; can also input the upper frequency point 868MHz, the lower frequency point 908MHz, so the wireless communication module can automatically define the communication frequency band as 868MHz ~ 908MHz, in order to comply with the European ETSI standard; or, you can input the upper frequency point 918MHz, the next The frequency is 928MHz, so the wireless communication module can automatically define the communication frequency band as 918MHz ~ 928MHz to meet the requirements of the US FCC standard; or, the communication frequency band of the wireless communication module can also be defined as complying with the Japanese ARIB standard or the Canadian IC standard. The embodiment of the invention is not limited.

In the embodiment of the present invention, the wireless terminal may use Frequency Division Multiple Access (FDMA), Frequency-Hopping Spread Spectrum (FHSS), Dynamic Time Division Multiple Access (DTDMA), and backoff. A multiplexing (CSMA) method is used to solve the interference problem, which is not limited in the embodiment of the present invention.

As an optional implementation manner, before the wireless terminal reports the parking space search command including the current vehicle location of the vehicle where the wireless terminal is located to the big data analysis system, the wireless terminal may further perform the following steps:

The wireless terminal identifies whether the emotion of the driver of the vehicle where the wireless terminal is located is stable. If the emotion is unstable, the wireless terminal prompts the driver to stop; if the emotion is stable, the wireless terminal collects a frame of the driver's face every specified time (eg, 120 milliseconds). The image, and the human eye positioning rectangle is determined from the face image, the area of the human eye positioning rectangle is calculated, the degree of the driver's eyes is determined according to the threshold value, and the eye fatigue is evaluated according to the degree of the driver's eyes. The degree value determines whether the driver's eyes are fatigued based on the degree of human eye fatigue. If fatigue occurs, the wireless terminal prompts the driver to stop, and the driver can input a parking space search command to the wireless terminal according to the prompt, thereby avoiding the driver's eyes. Fatigue or emotional instability and easy driving accidents;

And, the wireless terminal detects a parking space search command input by a driver of the vehicle where the wireless terminal is located, and collects a current vehicle position of the vehicle where the wireless terminal is located.

As an optional implementation manner, the manner in which the wireless terminal collects the current vehicle location of the vehicle where the wireless terminal is located may be:

The wireless terminal acquires at least two different positioning interfaces configured by the wireless terminal; for example, at least two different positioning interfaces may include a nlpservice positioning interface of Baidu, a nlpservice positioning interface of Gaode, a nlpservice positioning interface of Google, etc., the present invention The embodiment is not limited; and the wireless terminal may send the location request to the at least two different positioning interfaces to trigger each positioning interface to separately send the received positioning request to the corresponding positioning server; and acquire at least one Locating the location information sent by the location server corresponding to the interface, and obtaining the response time from the first moment to the second moment, where the first moment is the moment when the positioning request is sent by each positioning interface, and the second moment is the location received by each positioning interface. The time of the information; and comparing the response time corresponding to each positioning interface with the response threshold, and extracting the location information with the highest positioning accuracy from the location information received by the positioning interface whose response time does not exceed the response threshold as the wireless terminal The current vehicle position of the vehicle.

In the embodiment of the present invention, the implementation of the foregoing embodiment can accurately acquire the parking position and improve the positioning accuracy.

As an optional implementation manner, the method for the wireless terminal to identify whether the emotion of the driver of the vehicle where the wireless terminal is located may be stable, as shown in FIG. 2, including the following steps:

S201. The wireless terminal detects the electrocardiogram data of the driver sent by the wearing device (such as a wristband) worn by the driver of the vehicle where the wireless terminal is located.

S202. The wireless terminal may perform denoising processing on the electrocardiogram data, and extract an R wave peak in the degaussed ECG data by using an electrocardiogram R wave extraction algorithm, and calculate between adjacent R waves in the degaussed ECG data. RR spacing; and, calculating the frequency domain index, time domain index and non-linear index of RR spacing; wherein the frequency domain indicator includes parasympathetic nerve activity index, the time domain index includes short-range heart rate variability index; the short-range heart rate variability index obtains RR The root mean square of the sum of squared differences is calculated; the parasympathetic activity index is calculated by fast Fourier transform; the nonlinear index is calculated by the fractal dimension calculation method.

S203. The wireless terminal may analyze the emotional activity value of the user according to the frequency domain indicator, the time domain indicator, and the non-linear indicator; wherein the vitality value is a multiple linear regression equation established according to the time domain index, the frequency domain index, and the nonlinear index. Calculating the value; and, based on the vitality value, identifying whether the user's mood is unstable.

In the embodiment of the present invention, implementing the method described in FIG. 2 above can accurately identify whether the driver's emotion is stable.

In the embodiment of the present invention, the wireless terminal reports the parking space search command including the current vehicle location of the vehicle where the wireless terminal is located to the big data analysis system, including:

The wireless terminal scans whether the routing node is preset in the surrounding environment. If the routing node is preset, whether the routing node is configured with an open access period, and if the routing node is configured with an open access period, the current system time of the wireless terminal is identified. Whether it is located in the open access period in which the routing node is configured;

If the current system time of the wireless terminal is located in the open access period in which the routing node is configured, detecting whether the number of terminals currently accessed by the routing node exceeds the maximum terminal access number specified by the routing node;

If the number of terminals currently accessed by the routing node does not exceed the maximum number of terminal accesses specified by the routing node, the wireless terminal establishes a wireless connection with the routing node and will include the parking space of the current vehicle location of the vehicle in which the wireless terminal is located The search command is sent to the routing node, and the routing node sends a parking space search command including the current vehicle location of the vehicle where the wireless terminal is located to the big data analysis system.

In the embodiment of the present invention, the routing node searches the parking space search command including the current vehicle location of the vehicle where the wireless terminal is located to the big data analysis system, so that the wireless terminal can directly establish a long-distance communication connection with the big data analysis system. Thereby, the large power consumption caused by the wireless terminal directly communicating with the big data analysis system can be avoided.

102. The big data analysis system identifies the vehicle type of the vehicle and identifies the type of parking space to which the vehicle type is applicable based on the vehicle type.

In the embodiment of the present invention, the vehicle type may include a car, a truck, a passenger car, a trailer, a motorcycle, etc., which are not limited in the embodiment of the present invention.

In the embodiment of the present invention, the big data analysis system may identify the vehicle identifier (such as a license plate) of the vehicle where the wireless terminal is located according to the identity of the wireless terminal, and may identify the vehicle type of the vehicle according to the vehicle identifier of the vehicle where the wireless terminal is located. The type of parking space to which the vehicle type is applicable is identified based on the type of vehicle.

103. The big data analysis system searches for all idle parking spaces corresponding to the parking space type in its own jurisdiction, and sends the location identifiers of all the idle parking spaces found to the wireless terminal, so that the driver of the vehicle where the wireless terminal is located Based on the location identification of all the free parking spaces found, any one of the free parking spaces found is selected as the target parking space.

In the embodiment of the present invention, the location identifier of the free parking space may include the number of the free parking space and the parking lot name or street name where the free parking space is located.

In practical applications, the parking space corresponding to the size of the motorcycle is smaller than the parking space corresponding to the size of the car, and the parking space corresponding to the size of the car is smaller than the parking space corresponding to the size of the truck, and the parking space corresponding to the size of the truck is smaller than the corresponding size of the passenger car. The parking space of the passenger car is smaller than the parking space corresponding to the size of the trailer.

104. The big data analysis system queries the weather information of the preset duration corresponding to the target parking space and sends the weather information to the wireless terminal, so that the driver of the vehicle where the wireless terminal is located determines whether the parking navigation path needs to be generated according to the weather information.

105. The indication information reported by the big data analysis system on the wireless terminal indicates that when the parking navigation path needs to be generated, a parking navigation path between the target parking space and the current vehicle location is generated, and the parking navigation path is sent to the wireless terminal for parking navigation.

In the embodiment of the present invention, the method described in FIG. 1 may further include the following steps:

The big data analysis system deducts the corresponding parking fee from the electronic account bound to the wireless terminal according to the actual parking time of the vehicle at the target parking space.

As an alternative implementation, the big data analysis system is based on the actual stop of the vehicle at the target parking space. The length of the car, the way to deduct the corresponding parking fee from the electronic account bound to the wireless terminal can be:

The big data analysis system can distinguish whether the target parking space belongs to the parking space rented according to the preset time period. If the target parking space does not belong to the parking space rented according to the preset time period, the general parking fee corresponding to the target parking space and the actual parking time can be calculated. The corresponding parking fee, wherein the ordinary charging rule includes the first charging amount corresponding to the unit time;

If the target parking space belongs to the parking space rented according to the preset time period, it is determined whether the actual parking time of the vehicle in the target parking space exceeds the preset time period, and if the preset time period is not exceeded, the ordinary charging rule corresponding to the target parking space and the actual parking time period are Calculate the corresponding parking fee;

If the preset time period is exceeded, the corresponding parking fee may be calculated according to the high charging rule corresponding to the target parking space and the actual parking time, wherein the high charging rule includes a second charging amount corresponding to the unit time, and the second charging amount is equal to several The first charge amount of the multiple; and the corresponding parking fee is deducted from the electronic account bound to the wireless terminal.

Among them, the implementation of such an optional embodiment can encourage the driver to drive the vehicle away from the target parking position in time before the vehicle is parked for longer than the preset rental period of the target parking space, so as not to cause a huge parking fee.

In the embodiment of the present invention, each of the free parking spaces can be rented according to a preset time period, that is, each idle parking space can be preset with a rental time (for example, 08:30 to 18:00). For example, after a car owner drives to work at 8 o'clock in the morning, the owner can rent out his free parking space, and the owner can report to the big data analysis system the rental duration preset by the owner for his free parking space (eg 08:30～18:00).

It can be seen that implementing the method described in FIG. 1 not only enables the driver to quickly find a parking space suitable for his vehicle type for parking, but also allows the driver to predict the weather information of the preset duration corresponding to the parking space in advance, thereby Prepare for vehicle protection when parking in advance to prevent damage caused by bad weather.

It can be seen that implementing the method described in FIG. 1 can also realize the unmanned parking fee and improve the charging management efficiency.

It can be seen that implementing the method described in FIG. 1 can accurately identify whether the driver's eyes are fatigued, and can accurately recognize whether the driver's mood is stable.

It can be seen that implementing the method described in FIG. 1 can encourage the driver to drive the vehicle away from the target parking position in time before the vehicle is parked for longer than the preset rental period of the target parking space, so as not to cause a huge parking fee.

Embodiment 2

Please refer to FIG. 3. FIG. 3 is a schematic flowchart of another method for generating a parking navigation path of a self-selectable parking space according to an embodiment of the present invention. As shown in FIG. 3, the parking navigation path generating method of the optional parking space may include the following steps:

301. The wireless terminal reports the parking space search command including the current vehicle location of the vehicle where the wireless terminal is located to the big data analysis system.

As an optional implementation manner, the wireless terminal will include the current car of the vehicle where the wireless terminal is located Before the location parking search command is reported to the big data analysis system, the wireless terminal can also perform the following steps:

As an optional implementation manner, the manner in which the wireless terminal identifies whether the emotion of the driver of the vehicle where the wireless terminal is located is stable:

The wireless terminal detects the driver's electrocardiogram data sent by the wearable device (such as a wristband) worn by the driver of the vehicle where the wireless terminal is located; for example, the wireless terminal can detect whether the travel duration of the vehicle where the wireless terminal is located exceeds a preset duration, if The preset time length, the wireless terminal can detect whether the wireless terminal establishes a communication connection with a wearable device (such as a wristband) worn by a driver of the vehicle where the wireless terminal is located, and if so, the wireless terminal can notify the driver to wear the wearable device to send the driving to the wireless terminal. Electrocardiogram data of the staff;

And, the wireless terminal can perform denoising processing on the electrocardiogram data, and extract an R wave peak in the degaussed ECG data by using an electrocardiogram R wave extraction algorithm, and calculate between adjacent R waves in the degaussed ECG data. RR spacing; and, calculating the frequency domain index, time domain index and non-linear index of RR spacing; wherein the frequency domain indicator includes parasympathetic nerve activity index, the time domain index includes short-range heart rate variability index; the short-range heart rate variability index obtains RR Calculate the root mean square of the sum of the squared differences of the spacing; The parasympathetic activity index is calculated by the fast Fourier transform; the nonlinear index is calculated by the fractal dimension calculation method;

The wireless terminal can analyze the emotional value of the user's emotion according to the frequency domain index, the time domain index and the non-linear index; wherein the vitality value is a multiple linear regression equation established according to the time domain index, the frequency domain index and the nonlinear index. Calculating the value; and, based on the vitality value, identifying whether the user's mood is unstable.

In the embodiment of the present invention, the implementation of the above embodiment can accurately identify whether the driver's emotion is stable.

302. The big data analysis system identifies the vehicle type of the vehicle, and identifies the type of parking space applicable to the vehicle type according to the vehicle type.

303. The big data analysis system searches for all the free parking spaces corresponding to the parking space type in its own jurisdiction, and sends the location identifiers of all the idle parking spaces that are found out to the wireless terminal, so that the driver of the vehicle where the wireless terminal is located Based on the location identification of all the free parking spaces found, any one of the free parking spaces found is selected as the target parking space.

304. The big data analysis system determines whether the current workload of the big data analysis system exceeds the workload specified by the big data analysis system. If not, the weather information inquiry port initiates the target parking space to the weather service platform corresponding to the weather information inquiry port. The weather information inquiry request, and receiving the weather information of the preset time period corresponding to the target parking space returned by the weather service platform through the weather information inquiry port.

305. The big data analysis system sends the weather information of the preset duration corresponding to the target parking space to the wireless terminal, so that the driver of the vehicle where the wireless terminal is located determines whether the parking navigation path needs to be generated according to the weather information.

306. The indication information reported by the big data analysis system on the wireless terminal indicates that when the parking navigation path needs to be generated, a parking navigation path between the target parking space and the current vehicle location is generated, and the parking navigation path is sent to the wireless terminal for parking navigation.

307. The big data analysis system deducts the corresponding parking fee from the electronic account bound to the wireless terminal according to the actual parking time of the vehicle in the target parking space.

As an optional implementation manner, the big data analysis system may deduct the corresponding parking fee from the electronic account bound to the wireless terminal according to the actual parking duration of the vehicle in the target parking space:

It can be seen that implementing the method described in FIG. 3 can not only enable the driver to quickly find a parking space suitable for his vehicle type for parking, but also enable the driver to predict the weather information of the preset duration corresponding to the parking space in advance, thereby Prepare for vehicle protection when parking in advance to prevent damage caused by bad weather.

It can be seen that implementing the method described in FIG. 3 can also realize unmanned parking charges and improve charging management efficiency.

It can be seen that implementing the method described in FIG. 3 can accurately identify whether the driver's eyes are fatigued, and can accurately recognize whether the driver's mood is stable.

It can be seen that implementing the method described in FIG. 3 can encourage the driver to drive the vehicle away from the target parking position in time before the vehicle is parked for longer than the preset rental period of the target parking space, so as not to cause a huge parking fee.

Embodiment 3

Please refer to FIG. 4. FIG. 4 is a schematic structural diagram of a parking navigation path generating system for a self-selectable parking space according to an embodiment of the present invention. As shown in Figure 4, the system can include:

Wireless terminal 401 and big data analysis system 402, wherein:

The wireless terminal 401 is configured to report the parking space search command including the current vehicle location of the vehicle where the wireless terminal 401 is located to the big data analysis system 402;

a big data analysis system 402, configured to identify a vehicle type of the vehicle, and identify a parking space type applicable to the vehicle type according to the vehicle type;

The big data analysis system 402 is further configured to find all the free parking spaces corresponding to the parking space type in its own jurisdiction, and send the location identifiers of all the idle parking spaces that are found out to the wireless terminal 401, so that the wireless terminal 401 is located. The driver of the vehicle selects any free parking space as the target parking space from all the idle parking spaces found based on the location identifiers of all the free parking spaces found;

The big data analysis system 402 is further configured to query the weather information of the preset duration corresponding to the target parking space and send the weather information to the wireless terminal 401, so that the driver of the vehicle where the wireless terminal 401 is located determines whether the parking navigation path needs to be generated according to the weather information;

The big data analysis system 402 is further configured to: when the indication information reported by the wireless terminal 401 indicates that the parking navigation path needs to be generated, generate a parking navigation path between the target parking space and the current vehicle location, and send the parking navigation path to the wireless terminal 401. Parking navigation.

As an alternative embodiment, in the parking navigation path generation system of the optional parking space shown in FIG. 4:

The wireless terminal 401 is further configured to: before reporting the parking space search command including the current vehicle location of the vehicle where the wireless terminal 401 is located, to the big data analysis system 402, whether the emotion of the driver of the vehicle where the wireless terminal is located is stable, if the emotion is unstable , prompting the driver to stop; if the mood is stable, collect a frame of the driver's face image at a specified time, and determine the human eye positioning rectangle from the face image, calculate the area of the human eye positioning rectangle, and judge the driver according to the threshold value. The degree of eyelid closure, and the degree of eye fatigue according to the degree of closure of the driver's eyes, the driver's eye is judged to be fatigued based on the degree of human eye fatigue, and if the fatigue, the driver is prompted to stop; and, detecting The parking space search command input by the driver of the vehicle where the wireless terminal is located collects the current vehicle position of the vehicle where the wireless terminal is located.

The manner in which the wireless terminal 401 identifies whether the emotion of the driver of the vehicle in which the wireless terminal 401 is located is stable:

The wireless terminal 401 is configured to detect electrocardiogram data of the driver sent by the wearable device worn by the driver of the vehicle where the wireless terminal is located; perform denoising processing on the electrocardiogram data; and extract the electrocardiogram data in the denoised processed ECG data by using an electrocardiogram R wave extraction algorithm R wave peak value, and calculating the RR spacing between adjacent R waves in the degaussed ECG data; calculating the frequency domain index, time domain index and nonlinear index of the RR interval; wherein the frequency domain index includes the parasympathetic nerve activity index, The time domain indicator includes the short-range heart rate variability index; the short-range heart rate variability index is calculated by obtaining the root mean square of the sum of the squares of the RR spacing differences; the parasympathetic nerve activity index is calculated by the fast Fourier transform; the nonlinear index is calculated by the fractal dimension The method calculates the vitality value of the user's emotion according to the frequency domain index, the time domain index and the non-linear index; the vitality value is a value calculated according to the multiple linear regression equation established by the time domain index, the frequency domain index and the nonlinear index Identify whether the driver's mood is unstable based on the vitality value.

The manner in which the wireless terminal 401 reports the parking space search command including the current vehicle location of the vehicle where the wireless terminal is located to the big data analysis system is specifically:

The wireless terminal 401 is configured to scan whether a routing node is preset in the surrounding environment. If a routing node is preset, detecting whether the routing node is configured with an open access period, if the routing node is configured with an open access period, identifying the wireless terminal Whether the current system time is within the open access period in which the routing node is configured; if the current system time of the wireless terminal is located in the open access period in which the routing node is configured If the number of terminals currently accessed by the routing node exceeds the maximum number of terminal accesses specified by the routing node, if the number of terminals currently accessed by the routing node does not exceed the maximum number of terminal accesses specified by the routing node, establishing and routing nodes a wireless connection between the two, and transmitting a parking space search command including a current vehicle location of the vehicle in which the wireless terminal is located to the routing node, and the routing node reports the parking space search command including the current vehicle location of the vehicle where the wireless terminal is located Give big data analysis systems.

The manner in which the big data analysis system 402 queries the weather information of the preset duration corresponding to the target parking space and delivers the weather information to the wireless terminal is specifically:

The big data analysis system 402 is configured to determine whether the current workload of the big data analysis system exceeds the workload specified by the big data analysis system. If the current workload of the big data analysis system does not exceed the workload specified by the big data analysis system, the weather information is passed. The query port initiates a weather information query request including the target parking space to the weather service platform corresponding to the weather information inquiry port; and receives the weather information of the preset time period corresponding to the target parking space returned by the weather service inquiry port; and the target parking space The weather information corresponding to the preset duration is sent to the wireless terminal.

Among them, the big data analysis system 402 is also used to:

Identify whether the target parking space belongs to the parking space rented according to the preset time period. If the target parking space does not belong to the parking space rented according to the preset time period, calculate the corresponding parking fee according to the ordinary charging rule corresponding to the target parking space and the actual parking time. The charging rule includes the first charging amount corresponding to the unit time; if the target parking space belongs to the parking space rented according to the preset time period, it is determined whether the actual parking time of the vehicle in the target parking space exceeds the preset time period, if the preset time period is not exceeded, according to The corresponding parking fee corresponding to the target parking space and the actual parking time are calculated. If the preset time period is exceeded, the corresponding parking fee is calculated according to the high charging rule corresponding to the target parking space and the actual parking time. The high charging rule includes the unit. The second charge amount corresponding to the time, and the second charge amount is equal to a plurality of multiples of the first charge amount; and the corresponding parking fee is deducted from the electronic account bound to the wireless terminal.

It can be seen that implementing the system described in FIG. 4 not only enables the driver to quickly find a parking space suitable for his vehicle type for parking, but also allows the driver to predict in advance the weather information corresponding to the preset duration of the parking space, thereby Prepare for vehicle protection when parking in advance to prevent damage caused by bad weather.

It can be seen that implementing the system described in FIG. 4 can also realize unmanned parking charges and improve the efficiency of charging management.

It can be seen that implementing the system described in FIG. 4 can accurately identify whether the driver's eyes are fatigued and can accurately recognize whether the driver's mood is stable.

It can be seen that implementing the system described in FIG. 4 can encourage the driver to drive the vehicle away from the target parking position in time before the vehicle is parked for longer than the preset rental period of the target parking space, so as not to cause a huge parking fee.

It can be seen that implementing the system described in FIG. 4 can avoid the large power consumption caused by the wireless terminal directly communicating with the big data analysis system.

One of ordinary skill in the art can understand that all or part of the various methods of the above embodiments can be completed by a program to instruct related hardware, the program can be stored in a computer readable storage medium, and the storage medium includes read only Read-Only Memory (ROM), Random Access Memory (RAM), Programmable Read-Only Memory (PROM), Erasable Programmable Read Only Memory (Erasable Programmable Read Only Memory) EPROM), One-Time Programmable Read-Only Memory (OTPROM), Electronically-Erasable Programmable Read-Only Memory (EEPROM), Read-Only Disc (Compact Disc) Read-Only Memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other medium readable by a computer that can be used to carry or store data.

The parking navigation path generation system and method for a self-selectable parking space disclosed in the embodiment of the present invention are described in detail. The principle and implementation manner of the present invention are described in the following examples. The description of the above embodiment is only used. To help understand the method of the present invention and its core idea; at the same time, for those skilled in the art, according to the idea of the present invention, there will be changes in specific embodiments and application scopes. The content should not be construed as limiting the invention.

Claims

A parking navigation path generating method for a self-selectable parking space, characterized in that it comprises:

The wireless terminal reports a parking space search command including a current vehicle location of the vehicle where the wireless terminal is located to the big data analysis system;

The big data analysis system identifies a vehicle type of the vehicle and identifies a type of parking space to which the vehicle type is applicable based on the vehicle type;

The big data analysis system searches all the free parking spaces corresponding to the parking space type in its own jurisdiction, and sends the found location identifiers of all the free parking spaces to the wireless terminal, so that the wireless terminal is located The driver of the vehicle selects any free parking space as the target parking space from all the idle parking spaces found based on the location identification of all the free parking spaces;

The big data analysis system queries the weather information of the preset duration corresponding to the target parking space and sends the weather information to the wireless terminal, so that the driver of the vehicle where the wireless terminal is located determines whether the parking needs to be generated according to the weather information. Navigation path

When the indication information reported by the wireless terminal indicates that the parking navigation path needs to be generated, the big data analysis system generates a parking navigation path between the target parking space and the current vehicle location, and sends the parking navigation path Parking navigation is performed to the wireless terminal.
The parking navigation path generating method of the self-selectable parking space according to claim 1, wherein the wireless terminal reports the parking space search command including the current vehicle position of the vehicle where the wireless terminal is located to the big data analysis system. The method further includes:

The wireless terminal identifies whether the emotion of the driver of the vehicle in which the wireless terminal is located is stable, and if the emotion is unstable, the wireless terminal prompts the driver to stop; if the emotion is stable, the wireless terminal collects one frame of the driver at a specified time. a face image, and determining a human eye positioning rectangle from the face image, calculating an area of the human eye positioning rectangle, determining a degree of closure of the driver's eyes according to a threshold, and according to the driver The degree of eyelidness of the eye is evaluated as a value of the degree of eye fatigue, and based on the value of the degree of fatigue of the human eye, whether the eye of the driver is fatigued, and if fatigue occurs, the wireless terminal prompts the driver to stop;

The wireless terminal detects a parking space search command input by a driver of the vehicle where the wireless terminal is located, and collects a current vehicle position of the vehicle where the wireless terminal is located.
The parking navigation path generating method of the self-selectable parking space according to claim 2, wherein the wireless terminal identifies whether the emotion of the driver of the vehicle where the wireless terminal is located is stable, including:

The wireless terminal detects electrocardiogram data of the driver sent by a wearable device worn by a driver of a vehicle where the wireless terminal is located;

The wireless terminal performs denoising processing on the electrocardiogram data;

The wireless terminal extracts an R wave peak in the degaussed ECG data by using an electrocardiogram R wave extraction algorithm, and calculates an RR interval between adjacent R waves in the denoised processed electrocardiogram data;

The wireless terminal calculates a frequency domain indicator, a time domain indicator, and a non-linear indicator of the RR interval; wherein the frequency domain indicator includes a parasympathetic nerve activity indicator, and the time domain indicator includes a short-range heart rate variability indicator; The heart rate variability index is calculated by obtaining the root mean square of the sum of the squares of the RR gap differences; The parasympathetic nerve activity index is calculated by a fast Fourier transform; the nonlinear index is calculated by a fractal dimension calculation method;

The wireless terminal analyzes the vitality value of the user's emotion according to the frequency domain indicator, the time domain indicator, and the non-linear indicator; the vitality value is established according to the time domain indicator, the frequency domain indicator, and the nonlinear indicator. a value calculated by a multiple linear regression equation;

The wireless terminal identifies, based on the vitality value, whether the driver's mood is unstable.
The parking navigation path generating method of the self-selectable parking space according to any one of claims 1 to 3, wherein the wireless terminal reports a parking space search command including a current vehicle position of the vehicle where the wireless terminal is located to the large Data analysis system, including:

The wireless terminal scans whether a routing node is preset in the surrounding environment, and if the routing node is preset, detecting whether the routing node is configured with an open access period, if the routing node is configured with the open connection a period of time, identifying whether a current system time of the wireless terminal is located in the open access period in which the routing node is configured;

If the current system time of the wireless terminal is located in the open access period in which the routing node is configured, detecting whether the number of terminals currently accessed by the routing node exceeds the maximum number of terminal access specified by the routing node ;

If the number of terminals currently accessed by the routing node does not exceed the maximum number of terminal accesses specified by the routing node, the wireless terminal establishes a wireless connection with the routing node and will include the wireless terminal A parking space search command for the current vehicle location of the vehicle is sent to the routing node, and the routing node sends a parking space search command including the current vehicle location of the vehicle in which the wireless terminal is located to the big data analysis system.
The method for generating a parking navigation route of a self-selectable parking space according to any one of claims 1 to 4, wherein the big data analysis system queries the weather information of the preset duration corresponding to the target parking space and delivers the weather information to the wireless Terminals, including:

The big data analysis system determines whether a current workload of the big data analysis system exceeds a workload specified by the big data analysis system;

If the current workload of the big data analysis system does not exceed the workload specified by the big data analysis system, the big data analysis system initiates the inclusion of the weather service platform corresponding to the weather information query port through the weather information query port. a weather information inquiry request for the target parking space;

And the big data analysis system receives the weather information of the preset duration corresponding to the target parking space returned by the weather service platform through the weather information inquiry port;

And the big data analysis system sends the weather information of the preset duration corresponding to the target parking space to the wireless terminal.
A parking navigation path generation system capable of self-selected parking spaces, characterized in that it comprises a wireless terminal and a big data analysis system, wherein:

The wireless terminal is configured to report a parking space search command including a current vehicle location of the vehicle where the wireless terminal is located to the big data analysis system;

The big data analysis system for identifying a vehicle type of the vehicle and according to the vehicle type Type identifies the type of parking space to which the vehicle type applies;

The big data analysis system is further configured to find all the free parking spaces corresponding to the size of the parking space type in its own jurisdiction, and send the location identifiers of all the idle parking spaces that are found out to the wireless terminal, so as to The driver of the vehicle in which the wireless terminal is located selects any free parking space as the target parking space from all the idle parking spaces found based on the location identifiers of all the free parking spaces;

The big data analysis system is further configured to query the weather information of the preset duration corresponding to the target parking space and send the weather information to the wireless terminal, so that the driver of the vehicle where the wireless terminal is located is determined according to the weather information. Whether it is necessary to generate a parking navigation path;

The big data analysis system is further configured to: when the indication information reported by the wireless terminal indicates that a parking navigation path needs to be generated, generate a parking navigation path between the target parking space and the current vehicle location, and A parking navigation path is sent to the wireless terminal for parking navigation.
The parking navigation path generating system for a self-selectable parking space according to claim 6, wherein:

The wireless terminal is further configured to: before reporting the parking space search command including the current vehicle location of the vehicle where the wireless terminal is located, to the big data analysis system, whether the emotion of the driver of the vehicle where the wireless terminal is located is stable, if Emotional instability, prompting the driver to stop; if the mood is stable, collecting a frame of the driver's face image at a specified time, and determining a human eye positioning rectangle from the face image, calculating the human eye positioning An area of the rectangle, determining a degree of clogging of the driver's eyes based on the threshold value, and evaluating a degree of eye fatigue degree based on a degree of clogging of the driver's eyes, and determining the driving based on the value of the human eye fatigue level Whether the eyes of the person are fatigued, if fatigue, prompting the driver to stop; and detecting a parking space search command input by the driver of the vehicle where the wireless terminal is located, and collecting the current vehicle position of the vehicle where the wireless terminal is located.
The parking navigation path generating system of the self-selectable parking space according to claim 7, wherein the manner in which the wireless terminal identifies whether the emotion of the driver of the vehicle in which the wireless terminal is located is stable is:

The wireless terminal is configured to detect electrocardiogram data of the driver sent by a wearable device worn by a driver of a vehicle where the wireless terminal is located; perform denoising processing on the electrocardiogram data; and extract an ECG R wave extraction algorithm R-wave peak value in the noise-processed electrocardiogram data, and calculating an RR interval between adjacent R-waves in the de-noise-processed electrocardiogram data; calculating a frequency domain index, a time domain index, and a nonlinear index of the RR interval; The frequency domain indicator includes a parasympathetic nerve activity index, and the time domain index includes a short-range heart rate variability index; the short-range heart rate variability index is calculated by acquiring a root mean square of a square sum of the RR gap differences; The parasympathetic activity index is calculated by a fast Fourier transform; the nonlinear index is calculated by a fractal dimension calculation method; and the user's emotional vitality is analyzed according to the frequency domain index, the time domain index, and the nonlinear index Value; the vitality value is calculated according to the multivariate linear regression equation established by the time domain index, the frequency domain index, and the nonlinear index The value; identifying whether the value of the driver based on the viability emotional instability.
A parking lane generation system for a selectable parking space according to any one of claims 6 to 8, wherein said wireless terminal will include parking of a current vehicle position of a vehicle in which said wireless terminal is located The way the bit search command is reported to the big data analysis system is as follows:

The wireless terminal is configured to scan whether a routing node is preset in the surrounding environment, and if the routing node is preset, detecting whether the routing node is configured with an open access period, if the routing node is configured Determining, according to an open access period, whether a current system time of the wireless terminal is located in the open access period in which the routing node is configured; if a current system time of the wireless terminal is located in a location where the routing node is configured During the open access period, detecting whether the number of terminals currently accessed by the routing node exceeds the maximum number of terminal accesses specified by the routing node; if the number of terminals currently accessed by the routing node does not exceed the route a maximum number of terminal accesses designated by the node, establishing a wireless connection with the routing node, and transmitting a parking space search command including a current vehicle location of the vehicle in which the wireless terminal is located to the routing node, by the routing The node sends a parking space search command including a current vehicle location of the vehicle in which the wireless terminal is located Said large data analysis system.
The parking navigation route generating system of the self-selectable parking space according to any one of claims 6 to 9, wherein the big data analysis system queries the weather information of the preset duration corresponding to the target parking space and delivers the weather information to the wireless The mode of the terminal is specifically as follows:

The big data analysis system, configured to determine whether a current workload of the big data analysis system exceeds a workload specified by the big data analysis system, if a current workload of the big data analysis system does not exceed the big data And analyzing, by the weather information query port, the weather service platform corresponding to the weather information query port to initiate a weather information query request including the target parking space; and receiving the weather service platform to query the port through the weather information And returning the weather information of the preset duration corresponding to the target parking space; and transmitting the weather information of the preset duration corresponding to the target parking space to the wireless terminal.