CN108597249B

CN108597249B - Private parking space sharing method based on big data platform

Info

Publication number: CN108597249B
Application number: CN201810404242.5A
Authority: CN
Inventors: 向湘杰
Original assignee: Zhejiang Sunland Technology Co ltd
Current assignee: Zhejiang Sunland Technology Co ltd
Priority date: 2018-04-28
Filing date: 2018-04-28
Publication date: 2020-11-10
Anticipated expiration: 2038-04-28
Also published as: CN108597249A

Abstract

The invention relates to the technical field of big data, and discloses a private parking space sharing method based on a big data platform, which is characterized by comprising the following steps: the paid sharing of the idle private parking space is realized by utilizing the big data platform, and the parking charge standard of the paid sharing depends on the ideal unit time parking charge amount of the private parking space reported by the first APP client of the user to which the private parking space belongs, the historical shared private parking space parking overtime times of the visited vehicles and the primary adjustment factor of the ideal unit time parking charge amount, so that the paid sharing parking charge standard is flexible, the utilization rate of the private parking space can be improved, and the traffic jam can be favorably relieved.

Description

Private parking space sharing method based on big data platform

Technical Field

The invention relates to the technical field of big data, in particular to a private parking space sharing method based on a big data platform.

Background

Currently, with the continuous improvement of the living standard of the masses, the rigid demand of automobiles in China keeps exuberant, and the automobile keeping amount keeps the trend of rapid growth. In the process of keeping the automobile holding capacity dramatically increasing, more and more parking spaces are gradually developed in order to facilitate parking by the masses. In practice, it is found that many parking spaces are rented or purchased by car owners, and thus become private parking spaces. Even when the owner drives the vehicle away, the private parking spaces cannot be used by other vehicles. For example, when a car owner drives the car away from a private parking space when the car owner goes to work, the private parking space is locked and becomes an idle private parking space, and other cars cannot use the idle private parking spaces, so that the utilization rate of the private parking spaces can be reduced, and the pressure of traffic jam is not relieved.

Disclosure of Invention

The embodiment of the invention discloses a private parking space sharing method based on a big data platform, which can improve the utilization rate of private parking spaces and is beneficial to relieving traffic jam.

The embodiment of the invention discloses a private parking space sharing method based on a big data platform, which comprises the following steps:

when the big data platform detects that a vehicle located in the private parking space drives away from the private parking space, the private parking space is locked, first inquiry information is pushed to a first APP client of a user to which the private parking space belongs, and the first inquiry information is used for inquiring whether sharing of the private parking space is agreed;

if the first APP client side agrees to share the private parking space, the big data platform pushes an information input interface corresponding to the private parking space to the first APP client side; the information input interface at least comprises a sharing time period range entry column of the private parking space, an ideal unit time parking charge amount entry column, a historical sharing private parking space parking overtime times entry column of the visited vehicle and an ideal unit time parking charge amount primary adjustment factor entry column;

the big data platform detects and stores the sharing time period range of the private parking space recorded in the sharing time period range recording column of the private parking space reported by the first APP client, the ideal unit time parking charge amount of the private parking space recorded in the ideal unit time parking charge amount recording column, the historical shared private parking space parking overtime times of the visiting vehicle recorded in the historical shared private parking space parking overtime times recording column of the visiting vehicle, and the ideal unit time parking charge amount primary adjustment factor recorded in the ideal unit time parking charge amount primary adjustment factor recording column;

the big data platform detects a sharing request which is initiated by a second APP client of a user to which a target vehicle belongs and carries an appointed sharing time range aiming at the private parking space, if the appointed sharing time range is located in a sharing time period range of the private parking space, the client identification of the second APP client is taken as a basis, whether the historical shared private parking space parking overtime times of the target vehicle exceed the historical shared private parking space parking overtime times of the visited vehicle is inquired, if the historical shared private parking space parking overtime times of the target vehicle exceed the historical shared private parking space parking overtime times of the visited vehicle, and if the historical shared private parking space overtime times exceed the historical shared private parking space overtime times of the visited vehicle, the ideal unit time parking charge amount of the private parking space is adjusted upwards according to the;

the big data platform pushes second inquiry information comprising the parking charge amount of the private parking space in the first-level unit time to the second APP client side, and the second inquiry information is used for inquiring whether the private parking space is still shared; if the second APP client side still shares the private parking space, the big data platform unlocks the private parking space and starts parking timing;

when the target vehicle leaves the private parking space, corresponding primary parking fees are deducted from the electronic account number of the second APP client according to the actual parking duration of the private parking space and the primary unit time parking charge amount of the private parking space of the target vehicle obtained by the parking timing, and the deducted primary parking fees are added into the electronic account number of the first APP client.

As an optional implementation manner, in an embodiment of the present invention, the information entry interface further includes a secondary adjustment factor entry column of an ideal parking charge amount per unit time, and before the big data platform detects a sharing request, which is initiated by a second APP client of a user to which the target vehicle belongs and carries a specified sharing time range, the method further includes:

the big data platform detects and stores the ideal unit time parking charge amount secondary adjustment factor recorded in the ideal unit time parking charge amount secondary adjustment factor entry column reported by the second APP client; wherein the second inquiry information further includes the ideal parking charge amount per unit time secondary adjustment factor;

after the big data platform adds the deducted primary parking fee to the electronic account of the first APP client, the method further comprises the following steps:

the big data platform judges whether the actual parking duration of the target vehicle in the private parking space exceeds the sharing time period range of the private parking space, and if so, calculates the exceeding duration of the actual parking duration of the target vehicle in the private parking space relative to the sharing time period range of the private parking space;

the big data platform performs up-regulation processing on the primary unit time parking charge amount of the private parking space according to the ideal unit time parking charge amount secondary regulation factor to obtain the secondary unit time parking charge amount of the private parking space;

and the big data platform deducts corresponding secondary parking fees from the electronic account number of the second APP client according to the exceeding duration of the actual parking duration of the target vehicle in the private parking space relative to the sharing time period range of the private parking space and the secondary unit time parking charge amount of the private parking space, and adds the deducted secondary parking fees to the electronic account number of the first APP client.

As another optional implementation manner, in the embodiment of the present invention, the information entry interface further includes a hook option allowing reading of a friend user, before the big data platform detects a sharing request, which is initiated by a second APP client of a user to which a target vehicle belongs and carries a specified sharing time range, for the private parking space, the method further includes:

the big data platform detects the checking operation reported by the first APP client side for checking items allowed to be read of friend users, and reads all friend users of users to which the private parking space in the first APP client side belongs;

after the big data platform judges that the actual parking duration of the target vehicle in the private parking space exceeds the sharing time period range of the private parking space, the method further comprises the following steps:

and the big data platform judges whether the second APP client belongs to the APP client of a certain friend user in all friend users of the user to which the private parking space belongs, and if not, the calculation is carried out to calculate the time length of the target vehicle in the actual parking of the private parking space relative to the time length exceeding step of the sharing time period range of the private parking space.

As another optional implementation manner, in an embodiment of the present invention, after the big data platform determines that the second APP client does not belong to an APP client of a friend user of all friend users of the user that the private parking space belongs to, and before the big data platform calculates an exceeding duration of an actual parking duration of the target vehicle in the private parking space relative to a sharing time period range of the private parking space, the method further includes:

the big data platform pushes third inquiry information comprising a client identifier of the second APP client and a license plate identifier of the target vehicle to the first APP client, wherein the third inquiry information is used for inquiring whether extra overtime parking charging is required or not;

if the first APP client side indicates that extra overtime parking charging is needed, the big data platform executes the step of calculating the time length of the target vehicle exceeding the time length of the sharing time period range of the private parking space relative to the actual parking time length of the private parking space.

As another optional implementation manner, in an embodiment of the present invention, the method further includes:

when the target vehicle leaves the private parking space, the big data platform locks the private parking space again;

after the big data platform adds the deducted secondary parking fee to the electronic account of the first APP client, the method further comprises the following steps:

the big data platform updates the historical shared private parking space parking overtime times of the target vehicle for updating; and the updated historical shared private parking space parking overtime times of the target vehicle are greater than the historical shared private parking space parking overtime times of the target vehicle before updating.

As another optional implementation manner, in an embodiment of the present invention, after the big data platform adds the deducted secondary parking fee to the electronic account of the first APP client, the method further includes:

the big data platform calculates an accumulated value of the primary parking cost and the secondary parking cost added to the electronic account of the first APP client as a shared total charging stop value of the private parking space;

the big data platform pushes the corresponding relation between the actual parking duration of the target vehicle in the private parking space and the primary parking cost to the first APP client;

the big data platform pushes the exceeding duration of the actual parking duration of the target vehicle in the private parking space relative to the sharing time period range of the private parking space and the corresponding relation between the exceeding duration and the secondary parking cost to the first APP client;

and the big data platform pushes the shared total charge stop value of the private parking space to the first APP client.

As another optional implementation manner, in the embodiment of the present invention, the detecting, by the big data platform, the sharing request with the designated sharing time range, initiated by the second APP client of the user to which the target vehicle belongs, for the private parking space includes:

the big data platform detects a shared parking space acquisition request reported by a second APP client of a user to which a target vehicle belongs;

the big data platform acquires the current vehicle position of a second APP client of the user to which the target vehicle belongs according to the shared private parking space acquisition request;

the big data platform queries all shared parking spaces existing in an area with the current vehicle position as the center of a circle and the designated distance as the radius; wherein, the shared parking spaces comprise the private parking spaces;

the big data platform pushes the position distribution maps of all the shared parking spaces to a second APP client of the user to which the target vehicle belongs;

and the big data platform detects a sharing request which is initiated by a second APP client of the user to which the target vehicle belongs and carries a specified sharing time range aiming at the private parking space in the position distribution map.

As another optional implementation manner, in the embodiment of the present invention, the big data platform obtains, according to the shared private parking space obtaining request, a current vehicle position of a second APP client of the user to which the target vehicle belongs:

the big data platform pushes a position obtaining request to a second APP client of the user to which the target vehicle belongs so as to trigger the second APP client to obtain at least two different positioning interfaces configured by the second APP client; the second APP client side sends the positioning request to the at least two different positioning interfaces so as to trigger each positioning interface to send the received positioning request to the corresponding positioning server; the second APP client side obtains the position information sent by the positioning server corresponding to at least one positioning interface, and obtains the response time from a first time to a second time, wherein the first time is the time when each positioning interface sends the positioning request, and the second time is the time when each positioning interface receives the position information; comparing the response time corresponding to each positioning interface with a response threshold value by the second APP client, and extracting the position information with the highest positioning precision from the position information received by the positioning interfaces of which the response time does not exceed the response threshold value as the current vehicle position of the second APP client of the user to which the target vehicle belongs;

and the big data platform receives the current vehicle position reported by the second APP client.

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

in the embodiment of the invention, the paid sharing of the idle private parking space can be realized by utilizing the big data platform, and the parking charge standard of the paid sharing depends on the ideal unit time parking charge amount of the private parking space reported by the first APP client of the user to which the private parking space belongs, the historical shared private parking space parking overtime times of the visited vehicles and the primary adjustment factor of the ideal unit time parking charge amount, so that the parking charge standard of the paid sharing is flexible, the utilization rate of the private parking space can be improved, and the traffic jam can be favorably relieved. In addition, due to the existence of the primary adjustment factor of the parking charge amount in the ideal unit time, the visiting vehicle sharing the private parking space of other people can be promoted to drive away from the private parking space of other people on time, so that the visiting vehicle can not occupy the private parking space of other people for a long time.

Drawings

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

FIG. 1 is a schematic flow chart of a private parking space sharing method based on a big data platform according to an embodiment of the present invention;

FIG. 2 is a schematic flow chart of another method for sharing a private parking space based on a big data platform according to an embodiment of the present invention;

fig. 3 is a schematic flow chart of another private parking space sharing method based on a big data platform according to an embodiment of the present invention.

Detailed Description

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

The embodiment of the invention discloses a private parking space sharing method based on a big data platform, which can improve the utilization rate of private parking spaces and is beneficial to relieving traffic jam. The following are detailed below.

Referring to fig. 1, fig. 1 is a schematic flow chart of a private parking space sharing method based on a big data platform according to an embodiment of the present invention. As shown in fig. 1, the private parking space sharing method based on the big data platform may include the following steps:

101. when detecting that a vehicle located in a private parking space drives away from the private parking space, the big data platform locks the private parking space and pushes first inquiry information to a first APP client of a user to which the private parking space belongs, wherein the first inquiry information is used for inquiring whether sharing of the private parking space is agreed.

In the embodiment of the invention, the big data platform can detect whether the vehicle in the private parking space drives away from the private parking space by using the sensor or the video monitoring equipment, and can control the parking space lock arranged on the private parking space to lock the private parking space when detecting that the vehicle in the private parking space drives away from the private parking space, and push first inquiry information to a first APP client of a user belonging to the private parking space for inquiring whether the sharing of the private parking space is agreed. The first APP client of the user belonging to the private parking space may be an APP client installed on a handheld device (such as a mobile phone or a tablet) of the user belonging to the private parking space, or an APP client installed on a vehicle-mounted terminal that is installed on a vehicle that drives away from the private parking space, which is not limited in the embodiment of the present invention.

102. If the first APP client side agrees to share the private parking space, the big data platform pushes an information input interface corresponding to the private parking space to the first APP client side; the information entry interface at least comprises a sharing time period range entry column of the private parking space, an ideal unit time parking charge amount entry column, a historical shared private parking space parking overtime number entry column of the visited vehicle and an ideal unit time parking charge amount primary adjustment factor entry column.

Wherein, the sharing time period range entry column of this private parking stall is used for entering the sharing time period range of this private parking stall, for example 09: 00-18: 00;

wherein the ideal parking charge amount per unit time entry column is used for entering an ideal parking charge amount per unit time of the private parking space, such as 10 yuan/petty or 15 yuan/hour;

the visiting vehicle history sharing private parking space parking overtime times recording column is used for recording the visiting vehicle history sharing private parking space parking overtime times, such as 5 times or 10 times; the historical shared private parking space parking overtime times of the visited vehicles refer to the sum of the overtime times of parking occurring in all historical shared private parking spaces of the visited vehicles; for example, suppose that the number of times of all private parking spaces historically shared by the visiting vehicle is 50, and in the 50 historical shares, if 5 historical shares of parking time out exist, the number of times of parking time out of the historical shared private parking spaces of the visiting vehicle is 5; the overtime parking refers to that the actual parking time of the visited vehicle in the historical shared private parking space exceeds the sharing time period range of the historical shared private parking space reported by the user to which the historical shared private parking space belongs;

the ideal unit time parking charge amount entry column is used for entering an ideal unit time parking charge amount primary adjustment factor, the ideal unit time parking charge amount primary adjustment factor is larger than 0, and the ideal unit time parking charge amount primary adjustment factor is used for flexibly adjusting the ideal unit time parking charge amount of the private parking space, which is entered in the ideal unit time parking charge amount entry column.

103. The big data platform detects and stores the sharing time period range of the private parking space recorded in the sharing time period range recording column of the private parking space reported by the first APP client, the parking charge amount of the private parking space in the ideal unit time recorded in the parking charge amount recording column, the historical parking overtime times of the visiting vehicle in the historical shared private parking space of the visiting vehicle recorded in the parking overtime times recording column of the historical shared private parking space of the visiting vehicle, and the primary adjustment factor of the parking charge amount in the ideal unit time recorded in the recording column.

In the embodiment of the invention, a first APP client can scan whether an Internet of things access node is preset in the surrounding environment, if the Internet of things access node is preset, whether the Internet of things access node is configured with an open access time period is detected, and if the Internet of things access node is configured with the open access time period, whether the current system time of the first APP client is located in the open access time period configured with the Internet of things access node is identified;

if the current system time of the first APP client is located in the configured open access period of the access node of the Internet of things, detecting whether the number of currently accessed clients of the access node of the Internet of things exceeds the maximum terminal access number specified by the access node of the Internet of things; if the number of the currently accessed clients of the access node of the Internet of things does not exceed the maximum terminal access number specified by the access node of the Internet of things, the first APP client establishes wireless connection with the access node of the Internet of things, the sharing time interval range of the private parking space recorded in the sharing time interval range recording column of the private parking space, the ideal unit time parking charge amount of the private parking space recorded in the ideal unit time parking charge amount recording column, the historical shared private parking space parking overtime times of the visiting vehicle recorded in the historical shared private parking space parking overtime times recording column of the visiting vehicle, and the primary adjustment factor of the parking charge amount in the ideal unit time parking charge amount recorded in the primary adjustment factor recording column of the ideal unit time parking charge amount are reported to a big data platform through the Internet of things access node for detection and storage.

Optionally, the internet of things access node reports the version identifier and the node type of the internet of things access node to the big data platform together while reporting the sharing time period range of the private parking space recorded in the sharing time period range recording column of the private parking space, the ideal unit time parking charge amount of the private parking space recorded in the ideal unit time parking charge amount recording column, the historical shared private parking space parking timeout times of the visiting vehicle recorded in the historical shared private parking space parking timeout times recording column of the visiting vehicle, and the ideal unit time parking charge amount primary adjustment factor recorded in the ideal unit time parking charge amount primary adjustment factor recording column, and correspondingly, the big data platform can identify the rest access nodes with the same type as the node according to the node type of the internet of things access node, the big data platform can identify the version level of the access node of the Internet of things according to the version identification of the access node of the Internet of things; on the basis, the big data platform can judge whether a target access node with the version level lower than that of the access node of the Internet of things exists in the rest of access nodes with the same type as the node, if so, the version upgrading packet corresponding to the version identifier of the access node of the Internet of things is obtained, and the version upgrading packet corresponding to the version identifier of the access node of the Internet of things is issued to the target access node for automatic version upgrading, so that the purpose that the access node of the Internet of things reports data to trigger the other access nodes to automatically upgrade versions is achieved, and the efficiency of upgrading the versions of massive access nodes can be improved.

104. The big data platform detects a sharing request which is initiated by a second APP client of a user to which a target vehicle belongs and carries an appointed sharing time range aiming at the private parking space, if the appointed sharing time range is located in a sharing time period range of the private parking space, the client identification of the second APP client is used as a basis, whether the historical shared private parking space parking overtime times of the target vehicle exceed the historical shared private parking space parking overtime times of the visited vehicle is inquired, if the historical shared private parking space parking overtime times of the target vehicle exceed the historical shared private parking space overtime times of the visited vehicle, and if the historical shared private parking space overtime times exceed the historical shared private parking space overtime times of the visited vehicle, the ideal unit time parking charge amount of the private parking space is adjusted upwards according to.

In the embodiment of the invention, if the specified sharing time range is not in the sharing time period range of the private parking space, the big data platform can push the specified sharing time range to a first APP client side for determination, if the first APP client side determines to share the private parking space, the big data platform can execute the steps of inquiring whether the historical shared private parking space parking overtime times of the target vehicle exceed the historical shared private parking space parking overtime times of the visiting vehicle according to the client side identification of a second APP client side, and if the historical shared private parking space parking overtime times of the target vehicle exceed the historical shared private parking space parking overtime times of the visiting vehicle, carrying out up-regulation processing on the ideal unit time parking charge amount of the private parking space according to the ideal unit time parking charge amount primary regulation factor so as to obtain the primary unit time parking charge amount of the private parking space; and if the first APP client confirms that the private parking space is not shared, ending the process.

The second APP client of the user to which the big data platform detects the target vehicle belongs may initiate a sharing request carrying a designated sharing time range for the private parking space, and may include:

the big data platform queries all shared parking places existing in an area which takes the current vehicle position as the center of a circle and takes the designated distance as the radius; wherein, the shared parking spaces comprise the private parking space;

and the big data platform detects a sharing request which is initiated by a second APP client of the user to which the target vehicle belongs and carries a specified sharing time range aiming at the private parking space located in the position distribution map.

The implementation can be implemented, and a shared private parking space can be dynamically provided for the user to which the target vehicle belongs according to the current vehicle position of the second APP client of the user to which the target vehicle belongs.

In this embodiment of the present invention, the second APP client of the user to which the target vehicle belongs may be an APP client installed in a vehicle-mounted terminal on the target vehicle, and accordingly, the detecting, by the big data platform, the shared parking space acquisition request reported by the second APP client of the user to which the target vehicle belongs may include:

the second APP client of the user to which the target vehicle belongs identifies whether the emotion of the driver of the target vehicle to which the second APP client is located is stable, and if the emotion is unstable, the second APP client can prompt the driver to stop; if the emotion is stable, the second APP client side can collect a frame of face image of the driver at specified time intervals, determine an eye positioning rectangle from the face image, calculate the area of the eye positioning rectangle, judge the opening and closing degree of the eyes of the driver according to a threshold value, evaluate the eye fatigue degree value according to the opening and closing degree of the eyes of the driver, judge whether the eyes of the driver are fatigue or not according to the eye fatigue degree value, and prompt the driver to stop the vehicle if the eyes of the driver are fatigue; correspondingly, the driver can input a shared parking space acquisition instruction to the second APP client according to the prompt to trigger the second APP client to report a shared parking space acquisition request to the big data platform, so that driving accidents easily caused by unstable emotion or eye fatigue of the driver can be avoided.

In the embodiment of the present invention, the manner for the second APP client to identify whether the emotion of the driver of the target vehicle where the second APP client is located is stable may be:

the second APP client detects electrocardiogram data of a driver, which is sent by wearing equipment (such as a bracelet) worn by the driver of a target vehicle where the second APP client is located;

the second APP client side can perform denoising processing on the electrocardiogram data, extract R wave peak values in the denoised electrocardiogram data by adopting an electrocardiogram R wave extraction algorithm, and calculate RR intervals between adjacent R waves in the denoised electrocardiogram data; calculating a frequency domain index, a time domain index and a nonlinear index of the RR interval; wherein, the frequency domain index comprises parasympathetic nerve activity index, and the time domain index comprises 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 interval differences; the parasympathetic activity indicator is calculated by a fast fourier transform; calculating a nonlinear index by a fractal dimension calculation method;

the second APP client side can analyze the emotion vitality value of the user according to the frequency domain index, the time domain index and the nonlinear index; the activity value is calculated according to a multiple linear regression equation established by a time domain index, a frequency domain index and a nonlinear index; and identifying whether the emotion of the user is unstable according to the vitality value.

In the embodiment of the invention, whether the emotion of the driver is stable or not can be accurately identified by implementing the embodiment.

In the embodiment of the present invention, the obtaining, by the big data platform, the current vehicle position of the second APP client of the user to which the target vehicle belongs according to the shared private parking space obtaining request includes:

the big data platform pushes a position obtaining request to a second APP client of a user to which the target vehicle belongs so as to trigger the second APP client to obtain at least two different positioning interfaces (such as a Google positioning interface, a Baidu positioning interface and a Goods positioning interface) configured by the second APP client; the second APP client side sends the positioning request to the at least two different positioning interfaces so as to trigger each positioning interface to send the received positioning request to the corresponding positioning server; the second APP client side obtains the position information sent by the positioning server corresponding to at least one positioning interface, and obtains the response time from a first time to a second time, wherein the first time is the time when each positioning interface sends the positioning request, and the second time is the time when each positioning interface receives the position information; comparing the response time corresponding to each positioning interface with a response threshold value by the second APP client, and extracting the position information with the highest positioning precision from the position information received by the positioning interfaces of which the response time does not exceed the response threshold value as the current vehicle position of the second APP client of the user to which the target vehicle belongs;

In the embodiment of the invention, the current vehicle position can be accurately acquired by implementing the embodiment, and the positioning accuracy is improved.

105. The big data platform pushes second inquiry information including the primary unit time parking charge amount of the private parking space to a second APP client side, and the second inquiry information is used for inquiring whether the private parking space is still shared; and if the second APP client side still shares the private parking space, the big data platform unlocks the private parking space and starts parking timing.

In the embodiment of the present invention, the primary unit time parking charge amount of the private parking space is greater than the ideal unit time parking charge amount of the private parking space, and if the second APP client does not need to share the private parking space, the process is ended.

106. And when the target vehicle leaves the private parking space, deducting corresponding primary parking fee from the electronic account number of the second APP client according to the actual parking time of the target vehicle in the private parking space obtained by the parking timing and the primary unit time parking charge amount of the private parking space, and adding the deducted primary parking fee into the electronic account number of the first APP client.

In the private parking space sharing method described in fig. 1, the big data platform can be used to realize paid sharing of the idle private parking space, and the parking charge standard of the paid sharing depends on the ideal unit time parking charge amount of the private parking space reported by the first APP client of the user to whom the private parking space belongs, the historical shared private parking space overtime times of the visited vehicle, and the primary adjustment factor of the ideal unit time parking charge amount, so that the paid sharing parking charge standard is flexible, the utilization rate of the private parking space can be improved, and traffic congestion can be relieved. In addition, due to the existence of the primary adjustment factor of the parking charge amount in the ideal unit time, the visiting vehicle sharing the private parking space of other people can be promoted to drive away from the private parking space of other people on time, so that the visiting vehicle can not occupy the private parking space of other people for a long time.

Referring to fig. 2, fig. 2 is a schematic flow chart of another private parking space sharing method based on a big data platform according to an embodiment of the present invention. As shown in fig. 2, the private parking space sharing method based on the big data platform may include the following steps:

201. when detecting that a vehicle located in a private parking space drives away from the private parking space, the big data platform locks the private parking space and pushes first inquiry information to a first APP client of a user to which the private parking space belongs, wherein the first inquiry information is used for inquiring whether sharing of the private parking space is agreed.

202. If the first APP client side agrees to share the private parking space, the big data platform pushes an information input interface corresponding to the private parking space to the first APP client side; the information entry interface at least comprises a sharing time period range entry column of the private parking space, an ideal unit time parking charge amount entry column, a historical shared private parking space parking overtime number entry column of a visited vehicle, an ideal unit time parking charge amount primary adjustment factor entry column and an ideal unit time parking charge amount secondary adjustment factor entry column.

The ideal unit time parking charge amount secondary adjustment factor entry column is used for entering an ideal unit time parking charge amount secondary adjustment factor, and the entered ideal unit time parking charge amount secondary adjustment factor is used for performing up-regulation processing on the primary unit time parking charge amount of the private parking space.

203. The big data platform detects and stores the sharing time period range of the private parking space recorded in the sharing time period range recording column of the private parking space, the parking charge amount of the private parking space recorded in the ideal unit time parking charge amount recording column, the historical parking overtime times of the visiting vehicle shared private parking space recorded in the historical shared private parking space overtime times recording column of the visiting vehicle, the primary adjustment factor of the parking charge amount of the ideal unit time recorded in the primary adjustment factor recording column of the parking charge amount of the ideal unit time and the secondary adjustment factor of the parking charge amount of the ideal unit time recorded in the secondary adjustment factor recording column of the parking charge amount of the ideal unit time, wherein the sharing time period range of the private parking space, the ideal unit time parking charge amount of the ideal unit time, and the ideal unit time parking charge amount of the ideal unit.

204. The big data platform detects a sharing request which is initiated by a second APP client of a user to which a target vehicle belongs and carries an appointed sharing time range aiming at the private parking space, if the appointed sharing time range is located in a sharing time period range of the private parking space, the client identification of the second APP client is used as a basis, whether the historical shared private parking space parking overtime times of the target vehicle exceed the historical shared private parking space parking overtime times of the visited vehicle is inquired, if the historical shared private parking space parking overtime times of the target vehicle exceed the historical shared private parking space overtime times of the visited vehicle, and if the historical shared private parking space overtime times exceed the historical shared private parking space overtime times of the visited vehicle, the ideal unit time parking charge amount of the private parking space is adjusted upwards according to.

In the embodiment of the invention, if the historical shared private parking space parking overtime frequency of the target vehicle exceeds the historical shared private parking space parking overtime frequency of the visited vehicle, the fact that the target vehicle has a risk of parking overtime on the private parking space due to the current sharing is shown, and in order to reduce the loss caused by the fact that a user to which the private parking space belongs cannot park on the private parking space, the ideal unit time parking charge amount of the private parking space can be adjusted upwards according to the ideal unit time parking charge amount primary adjustment factor so as to obtain the primary unit time parking charge amount of the private parking space.

205. The big data platform pushes second inquiry information including a secondary adjustment factor of the primary unit time parking charge amount and the ideal unit time parking charge amount of the private parking space to a second APP client, and the second inquiry information is used for inquiring whether the private parking space is still shared; and if the second APP client side still shares the private parking space, the big data platform unlocks the private parking space and starts parking timing.

206. And when the target vehicle leaves the private parking space, deducting corresponding primary parking fee from the electronic account number of the second APP client according to the actual parking time of the target vehicle in the private parking space obtained by the parking timing and the primary unit time parking charge amount of the private parking space, and adding the deducted primary parking fee into the electronic account number of the first APP client.

207. The big data platform judges whether the actual parking duration of the target vehicle in the private parking space exceeds the sharing time interval range of the private parking space, and if so, the step 208-the step 209 are executed; if not, the process is ended.

208. And the big data platform calculates the exceeding duration of the actual parking duration of the target vehicle in the private parking space relative to the sharing time period range of the private parking space, and performs up-regulation processing on the primary unit time parking charge amount of the private parking space according to the ideal unit time parking charge amount secondary regulation factor so as to obtain the secondary unit time parking charge amount of the private parking space.

209. And the big data platform deducts corresponding secondary parking fees from the electronic account number of the second APP client according to the exceeding duration of the actual parking duration of the target vehicle in the private parking space relative to the sharing time period range of the private parking space and the secondary unit time parking charge amount of the private parking space, and adds the deducted secondary parking fees to the electronic account number of the first APP client.

In the private parking space sharing method described in fig. 2, the big data platform can be used to realize paid sharing of the idle private parking space, and the parking charge standard of the paid sharing depends on the ideal unit time parking charge amount of the private parking space reported by the first APP client of the user to whom the private parking space belongs, the historical shared private parking space overtime times of the visited vehicle, and the primary adjustment factor of the ideal unit time parking charge amount, so that the paid sharing parking charge standard is flexible, the utilization rate of the private parking space can be improved, and traffic congestion can be relieved. In addition, due to the existence of the primary adjustment factor of the parking charge amount in the ideal unit time and the secondary adjustment factor of the parking charge amount in the ideal unit time, the visiting vehicle sharing the private parking space of other people can be promoted to drive away from the private parking space of other people on time, and the visiting vehicle can be prevented from occupying the private parking space of other people for a long time to pay more parking cost.

Referring to fig. 3, fig. 3 is a schematic flow chart of another private parking space sharing method based on a big data platform according to an embodiment of the present invention. As shown in fig. 3, the private parking space sharing method based on the big data platform may include the following steps:

301. when detecting that a vehicle located in a private parking space drives away from the private parking space, the big data platform locks the private parking space and pushes first inquiry information to a first APP client of a user to which the private parking space belongs, wherein the first inquiry information is used for inquiring whether sharing of the private parking space is agreed.

302. If the first APP client side agrees to share the private parking space, the big data platform pushes an information input interface corresponding to the private parking space to the first APP client side; the information input interface at least comprises a sharing time period range entry column of the private parking space, an ideal unit time parking charge amount entry column, a historical shared private parking space parking overtime number entry column of a visited vehicle, an ideal unit time parking charge amount primary adjustment factor entry column, an ideal unit time parking charge amount secondary adjustment factor entry column and a hook option allowing a friend user to read.

303. The big data platform detects and stores the sharing time period range of the private parking space recorded in the sharing time period range recording column of the private parking space, the parking charge amount of the private parking space recorded in the parking charge amount recording column in ideal unit time, the parking overtime times of the historical shared private parking space of the visiting vehicle recorded in the historical shared private parking space overtime times recording column of the visiting vehicle, the parking charge amount primary adjustment factor of the ideal unit time recorded in the parking charge amount primary adjustment factor recording column in ideal unit time, and the parking charge amount secondary adjustment factor of the ideal unit time recorded in the parking charge amount secondary adjustment factor recording column in ideal unit time, wherein the sharing time period range of the private parking space is reported by the first APP client; and detecting the checking operation reported by the second APP client side for the checking items allowing reading of the friend users, and reading all friend users of the user to which the private parking space in the first APP client side belongs.

304. The big data platform detects a sharing request which is initiated by a second APP client of a user to which a target vehicle belongs and carries an appointed sharing time range aiming at the private parking space, if the appointed sharing time range is located in a sharing time period range of the private parking space, the client identification of the second APP client is used as a basis, whether the historical shared private parking space parking overtime times of the target vehicle exceed the historical shared private parking space parking overtime times of the visited vehicle is inquired, if the historical shared private parking space parking overtime times of the target vehicle exceed the historical shared private parking space overtime times of the visited vehicle, and if the historical shared private parking space overtime times exceed the historical shared private parking space overtime times of the visited vehicle, the ideal unit time parking charge amount of the private parking space is adjusted upwards according to.

305. The big data platform pushes second inquiry information including a secondary adjustment factor of the primary unit time parking charge amount and the ideal unit time parking charge amount of the private parking space to a second APP client, and the second inquiry information is used for inquiring whether the private parking space is still shared; and if the second APP client side still shares the private parking space, the big data platform unlocks the private parking space and starts parking timing.

306. And when the target vehicle leaves the private parking space, deducting corresponding primary parking fee from the electronic account number of the second APP client according to the actual parking time of the target vehicle in the private parking space obtained by the parking timing and the primary unit time parking charge amount of the private parking space, and adding the deducted primary parking fee into the electronic account number of the first APP client.

307. The big data platform judges whether the actual parking duration of the target vehicle in the private parking space exceeds the sharing time period range of the private parking space, if so, the step 308 is executed; if not, the process is ended.

308. The big data platform judges whether the second APP client belongs to the APP client of a certain friend user in all friend users of the user to which the private parking space belongs, and if not, step 309 is executed; if so, the process is ended.

As an optional implementation manner, in step 308, after the big data platform determines that the second APP client does not belong to the APP client of a friend user of all friend users of the user belonging to the private parking space, the big data platform may directly perform step 310 to step 311.

As an optional implementation manner, if it is determined in step 308 that the second APP client belongs to the APP client of a friend user among all friend users of the user belonging to the private parking space, the big data platform may detect whether the time of the last interaction between the second APP client and the first APP is outside a time range (e.g., 1 month) specified by the first APP client, and if so, execute step 309, or directly execute steps 310 to 311.

309. The big data platform pushes third inquiry information comprising a client identifier of a second APP client and a license plate identifier of the target vehicle to the first APP client, the third inquiry information is used for inquiring whether extra overtime parking charging is needed or not, and if the first APP client indicates that the extra overtime parking charging is needed, the steps 310 to 311 are executed; if the first APP client indicates that the extra overtime parking charge is not needed, the process is ended.

In the embodiment of the invention, whether extra overtime parking charging is carried out on the user to which the strange client belongs can be autonomously determined by the first APP client, so that the flexibility of carrying out extra overtime parking charging on the user to which the strange client belongs is improved.

As an optional implementation manner, after the first APP client receives the third query information including the client identifier of the second APP client and the license plate identifier of the target vehicle, the user to which the first APP client belongs may identify the client identifier of the second APP client and the license plate identifier of the target vehicle, if it cannot identify whether the second APP client belongs to the APP client of the user to which the first APP client belongs (for example, a second APP client that is newly registered by a friend user and unknown to the user to which the first APP client belongs) according to the client identifier of the second APP client and the license plate identifier of the target vehicle, the user to which the first APP client belongs may report the indication information to the big data platform for indicating the big data platform to collect the voice signal of the user to which the second APP client belongs and push the voice signal to the user to which the first APP client belongs to perform voice recognition, if the result of the voice recognition performed by the user to which the first APP client belongs is that the second APP client does not belong to the APP client of the user recognized by the user to which the first APP client belongs, the big data platform may perform steps 310 to 311.

In the embodiment of the invention, the additional overtime parking charging is not executed for the friend users, so that mutual benefit and mutual assistance among the friend users are facilitated.

Furthermore, the manner of collecting the voice signal of the user to which the second APP client belongs by the big data platform may be:

the big data platform controls the second APP client to collect audio signals;

the big data platform judges whether the audio signal is a voice signal, and if the audio signal is the voice signal, the voice signal is used as the voice signal of the user to which the second APP client belongs;

the determining whether the audio signal is a voice signal may include:

1) the big data platform carries out fast Fourier transform on the audio signal to obtain a frequency domain signal;

2) calculating a spectrum amplitude value by the big data platform according to the frequency domain signal;

the large data platform calculates the spectral amplitude value according to the frequency domain signal and by combining the following formula, namely:

wherein X (k, y) represents the spectral amplitude value of the kth frequency band of the frame where the yth audio signal is located, z (N, y) represents the amplitude of the nth point in the audio of the frame where the yth audio signal is located, N represents the variation length of the fast Fourier transform, k is less than or equal to N, exp (-j2 pi kn/N) represents a complex number with the amplitude angle of 2 pi being kn/N times.

3) Calculating probability density according to the spectrum amplitude value by the big data platform;

wherein, the big data platform calculates probability density according to the spectrum amplitude value, which may include:

the big data platform calculates the total energy of the power spectrum of the voice with noise of the frame where the y-th audio signal is located according to the spectral amplitude value;

the big data platform calculates the probability density according to the total energy of the power spectrum of the voice with noise and the amplitude value of the spectrum;

the calculation mode of the total energy of the power spectrum of the noisy speech is as follows:

wherein E is_sum(y) represents the total energy of the power spectrum of the noisy speech of the frame where the y audio signal is located, X (k, y) represents the spectral amplitude value of the k frequency band of the frame where the y audio signal is located, and N represents the change length of the fast Fourier transform;

the probability density is calculated in the following mode:

D(k,y)＝|X(k,y)|²/E_sumand (y), wherein D (k, y) represents the probability density corresponding to the kth frequency band of the frame where the yth audio signal is located.

4) And the big data platform calculates the spectral entropy of the audio signal according to the probability density.

The specific process of calculating the spectral entropy of the audio signal by the big data platform according to the probability density is as follows:

where h (y) represents the spectral entropy of the y-th audio signal.

5) And determining whether the audio signal is a voice signal or not by the big data platform according to the spectral entropy.

The big data platform determines whether the audio signal is a speech signal according to the spectral entropy, and may include: the big data platform calculates the energy of the audio signal;

the big data platform determines whether the audio signal is a voice signal according to the energy and the spectral entropy of the audio signal;

wherein, the calculation process of the energy of the audio signal is as follows:

where e (y) represents the energy of the y-th audio signal, M represents the frame length of the frame in which the audio signal is located, and z (n, y) represents the amplitude of the n-th point in the audio of the frame in which the y-th audio signal is located.

The big data platform determines whether the audio signal is a voice signal according to the energy and the spectral entropy of the audio signal, and the method comprises the following steps:

the big data platform judges whether P (y) is larger than a preset threshold value, if so, the audio signal is determined to be a voice signal, if not, the audio signal is determined not to be the voice signal, and the step (b) is carried out

By implementing the implementation of the embodiment, the accuracy of voice signal recognition of a big data platform can be improved.

310. And the big data platform calculates the exceeding duration of the actual parking duration of the target vehicle in the private parking space relative to the sharing time period range of the private parking space, and performs up-regulation processing on the primary unit time parking charge amount of the private parking space according to the ideal unit time parking charge amount secondary regulation factor so as to obtain the secondary unit time parking charge amount of the private parking space.

311. And the big data platform deducts corresponding secondary parking fees from the electronic account number of the second APP client according to the exceeding duration of the actual parking duration of the target vehicle in the private parking space relative to the sharing time period range of the private parking space and the secondary unit time parking charge amount of the private parking space, and adds the deducted secondary parking fees to the electronic account number of the first APP client.

As an optional implementation manner, in the private parking space sharing method described in fig. 3, the method may further include:

when the target vehicle leaves the private parking space, the large data platform locks the private parking space again;

after the big data platform adds the secondary parking cost of deducting to the electronic account number of the first APP client, it may further include:

As an optional implementation manner, in the private parking space sharing method described in fig. 3, after the big data platform adds the deducted secondary parking fee to the electronic account of the first APP client, the method further includes:

the big data platform calculates the accumulated value of the primary parking cost and the secondary parking cost added to the electronic account of the first APP client as the shared total charging stop value of the private parking space;

the big data platform pushes the following information to the second APP client side, namely:

the corresponding relation between the actual parking time of the target vehicle in the private parking space and the primary parking cost;

the actual parking duration of the target vehicle in the private parking space is relative to the exceeding duration of the sharing time period range of the private parking space, and the exceeding duration is in corresponding relation with the secondary parking cost;

the accumulated value of the primary parking fee and the secondary parking fee deducted from the electronic account number of the second APP client.

In the private parking space sharing method described in fig. 3, the big data platform can be used to realize paid sharing of the idle private parking space, and the parking charge standard of the paid sharing depends on the ideal unit time parking charge amount of the private parking space reported by the first APP client of the user to whom the private parking space belongs, the historical shared private parking space overtime times of the visited vehicle, and the primary adjustment factor of the ideal unit time parking charge amount, so that the paid sharing parking charge standard is flexible, the utilization rate of the private parking space can be improved, and traffic congestion can be relieved. In addition, due to the existence of the primary adjustment factor of the parking charge amount in the ideal unit time and the secondary adjustment factor of the parking charge amount in the ideal unit time, the visiting vehicle sharing the private parking space of other people can be promoted to drive away from the private parking space of other people on time, and the visiting vehicle can be prevented from occupying the private parking space of other people for a long time to pay more parking cost.

It will be understood by those skilled in the art that all or part of the steps in the methods of the embodiments described above may be implemented by hardware instructions of a program, and the program may be stored in a computer-readable storage medium, where the storage medium includes Read-Only Memory (ROM), Random Access Memory (RAM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), One-time Programmable Read-Only Memory (OTPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Compact Disc Read-Only Memory (CD-ROM), or other Memory, such as a magnetic disk, or a combination thereof, A tape memory, or any other medium readable by a computer that can be used to carry or store data.

The private parking space sharing method based on the big data platform disclosed by the embodiment of the invention is described in detail, a specific example is applied in the method to explain the principle and the implementation mode of the invention, and the description of the embodiment is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims

1. A private parking space sharing method based on a big data platform is characterized by comprising the following steps:

2. The private parking space sharing method according to claim 1, wherein the information entry interface further includes an ideal unit time parking charge amount secondary adjustment factor entry column, and before the big data platform detects a sharing request carrying a designated sharing time range and initiated by a second APP client of a user to which the target vehicle belongs for the private parking space, the method further includes:

the big data platform detects and stores the ideal unit time parking charge amount secondary adjustment factor recorded in the ideal unit time parking charge amount secondary adjustment factor entry column reported by the first APP client; wherein the second inquiry information further includes the ideal parking charge amount per unit time secondary adjustment factor;

after the big data platform adds the deducted primary parking fee to the electronic account of the first APP client, the method further includes:

3. The private parking space sharing method according to claim 2, wherein the information entry interface further includes a hook option allowing a friend user to read, and before the big data platform detects a sharing request carrying a designated sharing time range and initiated by a second APP client of a user to which a target vehicle belongs for the private parking space, the method further includes:

4. The private parking space sharing method according to claim 3, wherein after the big data platform determines that the second APP client does not belong to an APP client of a friend user among all friend users of the user to which the private parking space belongs, and before the big data platform calculates that the actual parking time of the target vehicle at the private parking space exceeds the time of the sharing time range of the private parking space, the method further comprises:

5. The private parking spot sharing method according to claim 2, 3 or 4, further comprising:

the big data platform updates the historical shared private parking space parking overtime times of the target vehicle; and the updated historical shared private parking space parking overtime times of the target vehicle are greater than the historical shared private parking space parking overtime times of the target vehicle before updating.

6. The private parking space sharing method of claim 5, wherein after the big data platform adds the deducted secondary parking fee to the electronic account number of the first APP client, the method further comprises:

7. The private parking space sharing method according to any one of claims 1 to 4, wherein the step of detecting, by the big data platform, a sharing request carrying a designated sharing time range, initiated by the second APP client of the user to which the target vehicle belongs, for the private parking space includes:

8. The private parking space sharing method according to claim 7, wherein the big data platform obtains a current vehicle position of a second APP client of the user to which the target vehicle belongs according to the shared private parking space obtaining request: