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WO2018232991A1 - Procédé et système de gestion de facturation de stationnement sur la base des places de stationnement sélectionnées - Google Patents

Procédé et système de gestion de facturation de stationnement sur la base des places de stationnement sélectionnées Download PDF

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Publication number
WO2018232991A1
WO2018232991A1 PCT/CN2017/099128 CN2017099128W WO2018232991A1 WO 2018232991 A1 WO2018232991 A1 WO 2018232991A1 CN 2017099128 W CN2017099128 W CN 2017099128W WO 2018232991 A1 WO2018232991 A1 WO 2018232991A1
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WIPO (PCT)
Prior art keywords
vehicle
wireless
parking space
terminal
parking
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English (en)
Chinese (zh)
Inventor
杜光东
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Shenzhen Shenglu IoT Communication Technology Co Ltd
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Shenzhen Shenglu IoT Communication Technology Co Ltd
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Publication of WO2018232991A1 publication Critical patent/WO2018232991A1/fr
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Ceased legal-status Critical Current

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/168—Evaluating attention deficit, hyperactivity
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/18—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state for vehicle drivers or machine operators
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/33—Heart-related electrical modalities, e.g. electrocardiography [ECG] specially adapted for cooperation with other devices
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7285—Specific aspects of physiological measurement analysis for synchronizing or triggering a physiological measurement or image acquisition with a physiological event or waveform, e.g. an ECG signal
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
    • G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
    • G07B15/02—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/06—Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
    • G08G1/141—Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces
    • G08G1/143—Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces inside the vehicles
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
    • G08G1/145—Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas
    • G08G1/148—Management of a network of parking areas

Definitions

  • the invention relates to the technical field of internet of things, in particular to a parking charging control method and system based on a self-selected parking space.
  • the embodiment of the invention discloses a parking charging control method and system based on the self-selected parking space, which can accurately navigate the vehicle to the parking space of the driver's choice which is most suitable for the vehicle size, and can also realize the unmanned parking fee and improve the charging management efficiency. .
  • the first aspect of the embodiments of the present invention discloses a parking fee management and control method based on a self-selected parking space, including:
  • the wireless vehicle-mounted terminal reports the current vehicle location of the vehicle in which the wireless vehicle-mounted terminal is located and the vehicle identity of the vehicle to the big data analysis system;
  • the big data analysis system identifies a vehicle type of the vehicle according to the vehicle identification, and identifies a parking space type applicable to the vehicle type according to the vehicle type;
  • 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 found location identifiers of all the free parking spaces to the wireless vehicle terminal, so that the wireless vehicle The driver of the vehicle where the terminal is located 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 generates a navigation path between the target parking space and the current vehicle location, and sends the navigation path to the wireless vehicle terminal for parking navigation;
  • the big data analysis system deducts a corresponding parking fee from the electronic account number bound by the wireless vehicle terminal according to the actual parking time of the vehicle at the target parking space.
  • the wireless in-vehicle terminal reports the current vehicle location of the vehicle where the wireless vehicle-mounted terminal is located and the vehicle identifier of the vehicle to the big data analysis system.
  • the method further includes:
  • the wireless vehicle-mounted terminal identifies whether the emotion of the driver of the vehicle in which the wireless vehicle-mounted terminal is located is Stable, if the mood is unstable, the wireless vehicle terminal prompts the driver to stop; if the mood is stable, the wireless vehicle terminal collects a frame of the driver's face image at a specified time, and determines from the face image Positioning a rectangle of a human eye, calculating an area of the human eye positioning rectangle, determining a degree of closure of the driver's eyes according to a threshold value, and evaluating a degree of eye fatigue according to a degree of closure of the driver's eyes, based on The human eye fatigue level value determines whether the driver's eyes are fatigued, and if fatigued, the wireless vehicle terminal prompts the driver to stop;
  • the wireless vehicle-mounted terminal detects a parking space search command input by a driver of the vehicle in which the wireless vehicle-mounted terminal is located, and collects a current vehicle position.
  • the wireless vehicle-mounted terminal identifies whether the emotion of the driver of the vehicle where the wireless vehicle-mounted terminal is located is stable, including:
  • the wireless in-vehicle terminal detects electrocardiogram data of the driver transmitted by a wearable device worn by a driver of a vehicle in which the wireless in-vehicle terminal is located;
  • the wireless vehicle terminal performs denoising processing on the electrocardiogram data
  • the wireless vehicle-mounted terminal extracts an R-wave peak value in the ECG data subjected to the denoising process by using an electrocardiogram R-wave extraction algorithm, and calculates an RR distance between adjacent R-waves in the de-noised ECG data;
  • the wireless vehicle-mounted terminal calculates a frequency domain index, a time domain index, and a non-linear index of the RR interval; wherein the frequency domain indicator includes a parasympathetic nerve activity index, and the time domain indicator includes a short-range heart rate variability indicator;
  • the short-range 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;
  • the nonlinear index is calculated by a fractal dimension calculation method;
  • the wireless vehicle-mounted terminal analyzes 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 established according to the time domain index, the frequency domain index, and the nonlinear indicator.
  • the calculated value of the multiple linear regression equation
  • the wireless vehicle-mounted terminal identifies whether the emotion of the driver is unstable according to the vitality value.
  • the wireless in-vehicle terminal reports the current vehicle location of the vehicle where the wireless vehicle-mounted terminal is located and the vehicle identifier of the vehicle to the big data analysis system.
  • the wireless vehicle-mounted terminal scans whether a routing node is preset in the surrounding environment, and if the routing node is set in advance, detecting whether the routing node is configured with an open access period, if the routing node is configured to be open An access period, identifying whether a current system time of the wireless in-vehicle terminal is located in the open access period in which the routing node is configured;
  • the routing node If the current system time of the wireless in-vehicle 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 a maximum terminal access specified by the routing node Quantity
  • the wireless in-vehicle terminal establishes a wireless connection with the routing node, and the wireless in-vehicle terminal A current vehicle location of the vehicle in which the vehicle is located and a vehicle identification of the vehicle are transmitted to the routing node, and the routing node transmits a current vehicle location of the vehicle in which the wireless vehicle-mounted terminal is located and a vehicle identification of the vehicle to the big data analysis system.
  • the big data analysis system generates a navigation path between the target parking space and the current vehicle location, and sends the navigation path After performing parking navigation on the wireless vehicle terminal, the method further includes:
  • 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
  • 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;
  • 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;
  • the big data analysis system sends the weather information of the preset duration corresponding to the target parking space to the wireless vehicle-mounted terminal;
  • the big data analysis system deducts the corresponding parking fee from the electronic account bound to the wireless vehicle terminal according to the actual parking time of the vehicle in the target parking space, including:
  • the big data analysis system discriminates 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, according to the ordinary charging corresponding to the target parking space
  • the normal charging rule includes a first charging amount corresponding to the unit time
  • the preset time period, 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 a second charging amount corresponding to the unit time, and the The second charge amount is equal to several times the first charge amount;
  • a second aspect of the embodiments of the present invention discloses a parking charging control system based on a self-selected parking space, including a wireless vehicle terminal and a big data analysis system, wherein:
  • the wireless vehicle-mounted terminal is configured to report the current vehicle location of the vehicle where the wireless vehicle-mounted terminal is located and the vehicle identity of the vehicle to the big data analysis system;
  • the big data analysis system is configured to identify a vehicle type of the vehicle according to the vehicle identifier, 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 of the parking space type corresponding to the size of the parking space, and send the location identifiers of all the idle parking spaces that are found out to the wireless vehicle terminal, so that The driver of the vehicle in which the wireless vehicle-mounted terminal is located selects any one of the free parking spaces as the target parking space based on the location identifiers of all the free parking spaces;
  • the big data analysis system is further configured to generate a navigation path between the target parking space and the current vehicle location, and send the navigation path to the wireless vehicle terminal for parking navigation;
  • the big data analysis system is further configured to actually stop according to the vehicle at the target parking space
  • the length of the car is deducted from the electronic account bound to the wireless vehicle terminal.
  • the wireless in-vehicle terminal is further configured to identify an emotion of a driver of the vehicle where the wireless in-vehicle terminal is located before reporting the current vehicle location of the vehicle in which the wireless in-vehicle terminal is located and the vehicle identification of the vehicle to the big data analysis system Whether it is stable, if the mood 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, the calculation center Describe the area of the human eye positioning rectangle, determine the degree of clogging of the driver's eyes according to the threshold value, and evaluate the eye fatigue degree value according to the degree of clogging of the driver's eyes, based on the human eye fatigue degree value Determining whether the driver's eyes are fatigued, if fatigue, prompting the driver to stop; and detecting a parking space search command input by the driver of the vehicle in which the wireless vehicle-mounted terminal is located, and collecting the current vehicle position.
  • the wireless vehicle-mounted 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 vehicle-mounted terminal is located; perform denoising processing on the electrocardiogram data; and extract by using an electrocardiogram R-wave extraction algorithm R-wave peak value in the degaussed ECG data, and calculating the RR spacing between adjacent R waves in the denoised ECG data; calculating the frequency domain index, time domain index and nonlinearity of the RR spacing An index; wherein the frequency domain indicator includes a parasympathetic nerve activity index, the time domain indicator includes a short-range heart rate variability indicator; and the short-range heart rate variability index is calculated by obtaining a root mean square of a square sum 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; and the user's emotion is analyzed according to the frequency domain index, the time domain index, and the nonlinear index Vital
  • the wireless vehicle-mounted terminal reports the current vehicle location of the vehicle where the wireless vehicle-mounted terminal is located and the vehicle identity of the vehicle to the big data analysis system.
  • the method is specifically as follows:
  • the wireless in-vehicle 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 to have Determining, by the open access period, whether a current system time of the wireless in-vehicle terminal is located in the open access period in which the routing node is configured; if a current system time of the wireless in-vehicle terminal is located in the routing node Detecting, in the configured open access period, 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 currently accessed terminals of the routing node does not exceed Transmitting, by the routing node, a maximum number of terminal accesses, establishing a wireless connection with the routing node, and transmitting a current vehicle location of the vehicle in which the wireless vehicle-mounted terminal is located and a vehicle identity of the vehicle to the routing no
  • the big data analysis system is further configured to: after generating a navigation path between the target parking space and the current vehicle location, and send the navigation path to the wireless vehicle terminal for parking navigation, determine the Whether the current workload of the big data analysis system exceeds the workload specified by the big data analysis system, and if the current workload of the big data analysis system does not exceed the workload specified by the big data analysis system, query the port through the weather information And generating, by the weather service platform corresponding to the weather information query port, a weather information query request including the target parking space; and receiving, by the weather service platform, a preset time period corresponding to the target parking space returned by the weather information query port Weather information; the weather information of the preset duration corresponding to the target parking space is sent to the wireless vehicle terminal;
  • the method for deducting the corresponding parking fee from the electronic account bound by the wireless vehicle terminal according to the actual parking duration of the vehicle in the target parking space is specifically as follows:
  • 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.
  • 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 Carrier terminal binding electronic account to deduct the appropriate parking fee.
  • the embodiment of the invention has the following beneficial effects:
  • the big data analysis system can identify the vehicle type of the vehicle where the wireless vehicle-mounted terminal is located according to the vehicle identification, and can be based on the vehicle type. Identifying the type of parking space applicable to the vehicle type.
  • the big data analysis system can find all the free parking spaces corresponding to the parking space type within its own jurisdiction, and send the location identification of all the free parking spaces that are found out to The wireless vehicle terminal, such that the driver of the vehicle where the wireless vehicle terminal is located can independently select any free parking space as the target parking space according to the location identifier of all the free parking spaces found; and the big data analysis system can generate the target parking space and the current
  • the navigation path between the vehicle positions is sent to the wireless vehicle terminal for parking navigation, and the corresponding parking fee is deducted from the electronic account bound by the wireless vehicle terminal according to the actual parking time of the vehicle at the target parking space. It can be seen that the embodiment of the present invention can not only accurately navigate the vehicle to the parking space that is optimal for the vehicle size selected by the driver, but also realize the unmanned parking fee and improve the charging management efficiency.
  • FIG. 1 is a schematic flow chart of a parking fee management and control method based on a self-selected parking space according to an embodiment of the present invention
  • FIG. 2 is a schematic flowchart of a method for a wireless vehicle terminal to identify whether a driver's emotion is stable according to an embodiment of the present invention
  • FIG. 3 is a schematic flow chart of another parking charge management and control method based on a self-selected parking space according to an embodiment of the present invention
  • FIG. 4 is a schematic structural diagram of a parking fee management and control system based on a self-selected parking space according to an embodiment of the present invention.
  • the embodiment of the invention discloses a parking charging control method and system based on the self-selected parking space, which can accurately navigate the vehicle to the parking space of the driver's choice which is most suitable for the vehicle size, and can also realize the unmanned parking fee and improve the charging management efficiency. .
  • the details are described below separately.
  • FIG. 1 is a schematic flow chart of a parking fee management and control method based on a self-selected parking space according to an embodiment of the present invention.
  • the parking charge control method based on the self-selected parking space may include the following steps:
  • the wireless vehicle-mounted terminal reports the current vehicle location of the vehicle where the wireless vehicle-mounted terminal is located and the vehicle identity of the vehicle to the big data analysis system.
  • the wireless communication module built in the wireless vehicle 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.
  • 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 lower frequency point 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.
  • the wireless vehicle terminal may use Frequency Division Multiple Access (FDMA), Frequency-Hopping Spread Spectrum (FHSS), and Dynamic Time Division Multiple Access (DTDMA).
  • FDMA Frequency Division Multiple Access
  • FHSS Frequency-Hopping Spread Spectrum
  • DTDMA Dynamic Time Division Multiple Access
  • the method of combining the back-off multiplexing (CSMA) to solve the interference problem is not limited in the embodiment of the present invention.
  • the wireless vehicle-mounted terminal may perform the following steps:
  • the wireless vehicle-mounted terminal identifies whether the mood of the driver of the vehicle in which the wireless vehicle-mounted terminal is located is stable, such as If the emotion is unstable, the wireless vehicle terminal prompts the driver to stop; if the mood is stable, the wireless vehicle terminal collects a frame of the driver's face image every specified time (eg, 120 milliseconds), and determines the human eye position from the face image.
  • the wireless vehicle terminal collects a frame of the driver's face image every specified time (eg, 120 milliseconds), and determines the human eye position from the face image.
  • Rectangularity calculating the area of the human eye positioning rectangle, judging the degree of closure of the driver's eyes according to the threshold value, and evaluating the degree of human eye fatigue according to the degree of blindness of the driver's eyes, and judging the driver's based on the degree of human eye fatigue Whether the eyes are fatigued, if fatigue, the wireless vehicle terminal prompts the driver to stop, and the driver can input a parking space search command to the wireless vehicle terminal according to the prompt, thereby avoiding a driving accident easily caused by the driver's eye fatigue or emotional instability;
  • the wireless vehicle-mounted terminal detects a parking space search command input by a driver of the vehicle in which the wireless vehicle-mounted terminal is located, and acquires a current vehicle position.
  • the manner in which the wireless vehicle terminal collects the current vehicle location may be:
  • the wireless vehicle terminal acquires at least two different positioning interfaces configured by the wireless vehicle terminal; for example, at least two different positioning interfaces may include a nlpservice positioning interface of Baidu, a nlpservice positioning interface of Gaode, and a nlpservice positioning interface of Google.
  • the embodiment of the present invention is not limited; and the wireless in-vehicle terminal may send the positioning request to the at least two different positioning interfaces, so as to trigger each positioning interface to separately send the received positioning request to the corresponding positioning server; Obtaining location information sent by the positioning server corresponding to the at least one positioning interface, and acquiring a response time from the first time to the second time, where the first time is a time for sending a positioning request for each positioning interface, and the second time is each positioning interface Receiving the time of the location 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 Current vehicle location.
  • the implementation of the foregoing embodiment can accurately acquire the parking position and improve the positioning accuracy.
  • the method for the wireless vehicle-mounted terminal to identify whether the emotion of the driver of the vehicle where the wireless vehicle-mounted terminal is located may be stable as shown in FIG. 2, and includes the following steps:
  • the wireless vehicle-mounted terminal detects electrocardiogram data of the driver transmitted by a wearable device (such as a wristband) worn by a driver of the vehicle in which the wireless vehicle-mounted terminal is located.
  • a wearable device such as a wristband
  • the wireless vehicle 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 adjacent R waves in the degaussed ECG data.
  • Inter-RR spacing and, calculating the frequency domain index, time domain index and non-linear index of RR spacing; wherein, the frequency domain index includes the parasympathetic nerve activity index, the time domain index includes the short-range heart rate variability index; the short-range heart rate variability index is obtained
  • the root mean square of the sum of the squares of the RR spacing differences is calculated; the parasympathetic nerve activity index is calculated by the fast Fourier transform; the nonlinear index is calculated by the fractal dimension calculation method.
  • the wireless vehicle terminal can analyze the emotional activity value of the user according to the frequency domain index, the time domain index, and the non-linear index; wherein the vitality value is a multiple linear regression established according to the time domain index, the frequency domain index, and the nonlinear index. The value calculated by the equation; and, based on the vitality value, whether the emotion of the user is unstable.
  • the method described in FIG. 2 described above can accurately identify the driver. Is the mood stable?
  • the wireless vehicle-mounted terminal reports the current vehicle position of the vehicle in which the wireless vehicle-mounted terminal is located and the vehicle identification of the vehicle to the big data analysis system, including:
  • the wireless vehicle terminal scans whether a routing node is preset in the surrounding environment. If a routing node is set in advance, whether the routing node is configured to have an open access period, and if the routing node is configured with an open access period, the current wireless vehicle terminal is identified. Whether the system time is within an open access period in which the routing node is configured;
  • the routing node If the current system time of the wireless vehicle 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;
  • the wireless in-vehicle terminal establishes a wireless connection with the routing node, and the current vehicle location of the vehicle in which the wireless in-vehicle terminal is located and the vehicle of the vehicle.
  • the identification is sent to the routing node, and the routing node transmits the current vehicle location of the vehicle in which the wireless vehicle-mounted terminal is located and the vehicle identification of the vehicle to the big data analysis system.
  • the routing node sends the current vehicle location of the vehicle where the wireless vehicle-mounted terminal is located and the vehicle identification of the vehicle to the big data analysis system, so that the wireless vehicle-mounted terminal can directly establish a long-distance communication connection with the big data analysis system. Therefore, it is possible to avoid the large power consumption caused by the wireless vehicle terminal directly communicating with the big data analysis system.
  • the big data analysis system identifies the vehicle type of the vehicle according to the vehicle identification, and identifies the type of parking space applicable to the vehicle type according to the type of the vehicle.
  • 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.
  • 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 found to the wireless vehicle terminal, so that the driving of the vehicle where the wireless vehicle terminal is located Based on the location identification of all the free parking spaces found, the staff selects any free parking space from the found all available parking spaces as the target parking space.
  • 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.
  • 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.
  • the big data analysis system generates a navigation path between the target parking space and the current vehicle location, and sends the navigation path to the wireless vehicle terminal for parking navigation.
  • the big data analysis system deducts the corresponding parking fee from the electronic account bound to the wireless vehicle terminal according to the actual parking time of the vehicle in the target parking space.
  • the big data analysis system may deduct the corresponding parking fee from the electronic account bound to the wireless vehicle terminal according to the actual parking time of the vehicle in the target parking space:
  • 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;
  • 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;
  • 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 vehicle terminal.
  • 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.
  • 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).
  • a rental time for example, 08:30 to 18:00.
  • 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).
  • FIG. 3 is a schematic flow chart of another parking charging control method based on a self-selected parking space according to an embodiment of the present invention.
  • the parking charge control method based on the self-selected parking space may include the following steps:
  • the wireless vehicle-mounted terminal reports the current vehicle location of the vehicle where the wireless vehicle-mounted terminal is located and the vehicle identity of the vehicle to the big data analysis system.
  • the wireless vehicle-mounted terminal may perform the following steps:
  • the wireless vehicle-mounted terminal identifies whether the mood of the driver of the vehicle in which the wireless vehicle-mounted terminal is located is stable, and if the mood is unstable, the wireless vehicle-mounted terminal prompts the driver to stop; if the mood is stable, the wireless vehicle-mounted terminal collects one frame of driving every specified time (eg, 120 milliseconds).
  • the face image of the person, and the human eye positioning rectangle is determined from the face image, the area of the human eye positioning rectangle is calculated, and the driver is judged 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 fatigue occurs, the wireless vehicle terminal prompts the driver to stop.
  • the driver can input a parking space search command to the wireless vehicle terminal according to the prompt, thereby avoiding a driving accident easily caused by the driver's eye fatigue or emotional instability;
  • the wireless vehicle-mounted terminal detects a parking space search command input by a driver of the vehicle in which the wireless vehicle-mounted terminal is located, and acquires a current vehicle position.
  • the manner in which the wireless vehicle terminal collects the current vehicle location may be:
  • the wireless vehicle terminal acquires at least two different positioning interfaces configured by the wireless vehicle terminal; for example, at least two different positioning interfaces may include a nlpservice positioning interface of Baidu, a nlpservice positioning interface of Gaode, and a nlpservice positioning interface of Google.
  • the embodiment of the present invention is not limited; and the wireless in-vehicle terminal may send the positioning request to the at least two different positioning interfaces, so as to trigger each positioning interface to separately send the received positioning request to the corresponding positioning server; Obtaining location information sent by the positioning server corresponding to the at least one positioning interface, and acquiring a response time from the first time to the second time, where the first time is a time for sending a positioning request for each positioning interface, and the second time is each positioning interface Receiving the time of the location 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 Current vehicle location.
  • the implementation of the foregoing embodiment can accurately acquire the parking position and improve the positioning accuracy.
  • the manner in which the wireless in-vehicle terminal recognizes whether the mood of the driver of the vehicle where the wireless in-vehicle terminal is located is stable:
  • the wireless vehicle-mounted terminal detects the driver's electrocardiogram data transmitted by the wearable device (such as a wristband) worn by the driver of the vehicle in which the wireless vehicle-mounted terminal is located; for example, the wireless vehicle-mounted terminal can detect whether the travel time of the vehicle in which the wireless vehicle-mounted terminal is located exceeds a preset The duration, if the preset duration is exceeded, the wireless vehicle terminal can detect whether the wireless vehicle terminal establishes a communication connection with a wearable device (such as a wristband) worn by the driver of the vehicle where the wireless vehicle terminal is located, and if so, the wireless vehicle terminal can notify the driver to wear
  • the wearable device transmits the driver's electrocardiogram data to the wireless vehicle terminal;
  • the wireless vehicle 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 adjacent R waves in the degaussed ECG data.
  • Inter-RR spacing and, calculating the frequency domain index, time domain index and non-linear index of RR spacing; wherein, the frequency domain index includes the parasympathetic nerve activity index, the time domain index includes the short-range heart rate variability index; the short-range heart rate variability index is obtained
  • the root mean square of the sum of the squares of the RR spacing differences is calculated; the parasympathetic nerve activity index is calculated by the fast Fourier transform; the nonlinear index is calculated by the fractal dimension calculation method;
  • the wireless vehicle terminal can 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 established according to the time domain index, the frequency domain index and the non-linear index The value calculated by the equation; and, based on the vitality value, whether the emotion of the user is unstable.
  • the implementation of the above embodiment can accurately identify whether the driver's emotion is stable.
  • the big data analysis system identifies the vehicle type of the vehicle according to the vehicle identification, and identifies the type of parking space applicable to the vehicle type according to the type of the vehicle.
  • 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.
  • 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 found to the wireless vehicle terminal, so that the driving of the vehicle where the wireless vehicle terminal is located Based on the location identification of all the free parking spaces found, the staff selects any free parking space from the found all available parking spaces as the target parking space.
  • 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.
  • the big data analysis system generates a navigation path between the target parking space and the current vehicle location, and sends the navigation path to the wireless vehicle terminal for parking navigation.
  • 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.
  • the big data analysis system sends the weather information of the preset time period corresponding to the target parking space to the wireless vehicle terminal, so that the driver can prepare the vehicle for protection according to the weather information, so as to prevent the vehicle from being damaged by bad weather.
  • the big data analysis system deducts the corresponding parking fee from the electronic account bound by the wireless vehicle terminal according to the actual parking time of the vehicle in the target parking space.
  • the big data analysis system may deduct the corresponding parking fee from the electronic account bound to the wireless vehicle terminal according to the actual parking time of the vehicle in the target parking space:
  • 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;
  • 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;
  • 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 vehicle terminal.
  • 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.
  • 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).
  • a rental time for example, 08:30 to 18:00.
  • 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).
  • the driver can prepare for vehicle protection when parking according to weather information, so as to avoid damage caused by bad weather.
  • FIG. 4 is a schematic structural diagram of a parking fee management and control system based on a self-selected parking space according to an embodiment of the present invention.
  • the system can include:
  • Wireless vehicle terminal 401 and big data analysis system 402 wherein:
  • the wireless vehicle-mounted terminal 401 is configured to report the current vehicle position of the vehicle where the wireless vehicle-mounted terminal 401 is located and the vehicle identification of the vehicle to the big data analysis system 402;
  • the big data analysis system 402 is configured to identify the vehicle type of the vehicle according to the vehicle identification, and identify the type of the parking space 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 found location identifiers of all the free parking spaces to the wireless vehicle terminal 401, so as to enable the wireless vehicle terminal.
  • the driver of the vehicle in which 401 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 found;
  • the big data analysis system 402 is further configured to generate a navigation path between the target parking space and the current vehicle location, and send the navigation path to the wireless vehicle terminal 401 for parking navigation;
  • the big data analysis system 402 is further configured to deduct the corresponding parking fee from the electronic account number bound by the wireless vehicle terminal 401 according to the actual parking time of the vehicle at the target parking space.
  • the wireless in-vehicle terminal 401 is further configured to identify whether the mood of the driver of the vehicle where the wireless in-vehicle terminal is located is stable before the current vehicle position of the vehicle in which the wireless in-vehicle terminal 401 is located and the vehicle identification of the vehicle are reported to the big data analysis system, if the mood is not Stable, prompting the driver to stop; if The emotion is stable, and a face image of the driver is collected every specified time, and the human eye positioning rectangle is determined from the face image, the area of the human eye positioning rectangle is calculated, and the degree of the driver's eyes is determined according to the threshold value.
  • the parking space search command entered by the member collects the current vehicle position.
  • the manner in which the wireless vehicle-mounted terminal 401 identifies whether the emotion of the driver of the vehicle in which the wireless vehicle-mounted terminal 401 is located is stable:
  • the wireless vehicle-mounted 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 vehicle-mounted terminal is located; perform denoising processing on the electrocardiogram data; and extract the electrocardiogram data subjected to the denoising process by using an electrocardiogram R-wave extraction algorithm
  • the number calculation method is used to calculate; the vitality value of the user's emotion is analyzed according to the frequency domain index, the time domain index and the non-linear index
  • the wireless vehicle-mounted terminal 401 reports the current vehicle position of the vehicle where the wireless vehicle-mounted terminal is located and the vehicle identification of the vehicle to the big data analysis system.
  • the specific way is:
  • the wireless vehicle-mounted 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 Whether the current system time of the in-vehicle terminal is located in the open access period in which the routing node is configured; if the current system time of the wireless in-vehicle 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 is Exceeding 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, establish a wireless connection with the routing node, and the vehicle where the wireless vehicle terminal is located
  • the current vehicle location and the vehicle identity of the vehicle are sent to the routing node, and the routing node transmits the current vehicle location of
  • the big data analysis system 402 is further configured to: after generating a navigation path between the target parking space and the current vehicle position, and transmitting the navigation path to the wireless vehicle terminal for parking navigation, determining whether the current workload of the big data analysis system exceeds a large The workload specified by the 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 query port is used to initiate the target to the weather service platform corresponding to the weather information query port.
  • the weather information inquiry request of the parking space receiving the weather information of the preset time period corresponding to the target parking space returned by the weather information inquiry port; and transmitting the weather information of the preset time length corresponding to the target parking space to the wireless vehicle terminal;
  • the big data analysis system 402 deducts the corresponding parking fee from the electronic account bound to the wireless vehicle terminal according to the actual parking time of the vehicle in the target parking space, and specifically:
  • the big data analysis system 402 is configured to identify whether the target parking space belongs to a parking space rented according to a preset time period. If the target parking space does not belong to the parking space rented according to the preset time period, the ordinary charging rule corresponding to the target parking space and the actual parking The duration calculates the corresponding parking fee.
  • 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.
  • the corresponding parking fee is calculated according to the general charging rule corresponding to the target parking space and the actual parking time; if the preset time period is exceeded, the corresponding parking is calculated according to the high charging rule corresponding to the target parking space and the actual parking time.
  • the fee, 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 multiple first charging amount; and the corresponding parking fee is deducted from the electronic account bound to the wireless vehicle terminal.
  • implementing the system described in FIG. 4 not only can accurately navigate the vehicle to the driver's choice of the most suitable parking space for the vehicle, but also can realize the unmanned parking fee and improve the charging management efficiency. 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, the driver can prepare for vehicle protection when parking according to weather information, so as to avoid damage caused by bad weather.
  • ROM Read-Only Memory
  • RAM Random Access Memory
  • PROM Programmable Read-Only Memory
  • EPROM Erasable Programmable Read Only Memory
  • OTPROM One-Time Programmable Read-Only Memory
  • EEPROM Electronically-Erasable Programmable Read-Only Memory
  • CD-ROM Compact Disc Read-Only Memory

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Abstract

L'invention concerne un procédé et un système de gestion de facturation de stationnement sur la base des places de stationnement sélectionnées, le procédé consistant : en ce qu'un terminal sans fil embarqué déclare la position actuelle de véhicule d'un véhicule et un identifiant de véhicule à un système d'analyse de mégadonnées (101) ; en ce que le système d'analyse de mégadonnées reconnaît le type de véhicule en fonction de l'identifiant de véhicule, et reconnaît, en fonction du type de véhicule, une place de stationnement convenant au type de véhicule (102) ; en ce qu'il recherche, dans sa portée de gestion, toutes les places vides de stationnement de la taille correspondant au type de place de stationnement, et envoie au terminal sans fil embarqué les identifiants de position de toutes les places vides de stationnement découvertes pour que le conducteur sélectionne l'une quelconque des places vides de stationnement en tant que place cible de stationnement (103) ; en ce qu'il génère un chemin de navigation depuis la position actuelle de véhicule vers la place cible de stationnement et l'envoie au terminal sans fil embarqué pour la navigation de stationnement (104) ; et en ce qu'il déduit, d'un compte électrique lié au terminal sans fil embarqué, des frais de stationnement correspondants en fonction de la durée réelle de stationnement du véhicule à la place cible de stationnement (105). Le procédé et le système peuvent diriger avec précision un véhicule vers une place de stationnement qui convient essentiellement à la taille du véhicule, réalisant une facturation de stationnement sans personnel, et améliorant le rendement de la gestion de facturation.
PCT/CN2017/099128 2017-06-19 2017-08-25 Procédé et système de gestion de facturation de stationnement sur la base des places de stationnement sélectionnées Ceased WO2018232991A1 (fr)

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