WO2018233000A1 - 一种多停车场场景下的收费管理方法及系统 - Google Patents

一种多停车场场景下的收费管理方法及系统 Download PDF

Info

Publication number
WO2018233000A1
WO2018233000A1 PCT/CN2017/099301 CN2017099301W WO2018233000A1 WO 2018233000 A1 WO2018233000 A1 WO 2018233000A1 CN 2017099301 W CN2017099301 W CN 2017099301W WO 2018233000 A1 WO2018233000 A1 WO 2018233000A1
Authority
WO
WIPO (PCT)
Prior art keywords
parking
vehicle
routing node
weather information
node
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2017/099301
Other languages
English (en)
French (fr)
Inventor
杜光东
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Shenglu IoT Communication Technology Co Ltd
Original Assignee
Shenzhen Shenglu IoT Communication Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Shenglu IoT Communication Technology Co Ltd filed Critical Shenzhen Shenglu IoT Communication Technology Co Ltd
Publication of WO2018233000A1 publication Critical patent/WO2018233000A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • 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
    • 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
    • A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
    • 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]
    • A61B5/346—Analysis of electrocardiograms
    • 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
    • A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • 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
    • A61B5/7235—Details of waveform analysis
    • A61B5/7253—Details of waveform analysis characterised by using transforms
    • A61B5/7257—Details of waveform analysis characterised by using transforms using Fourier transforms
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2503/00—Evaluating a particular growth phase or type of persons or animals
    • A61B2503/20—Workers
    • A61B2503/22—Motor vehicles operators, e.g. drivers, pilots, captains

Definitions

  • the present invention relates to the field of Internet of Things technologies, and in particular, to a charging management method and system in a multi-parking scene.
  • the embodiment of the invention discloses a charging management method and system in a multi-parking scene, which can centrally manage the charging of a plurality of parking lots arranged in a distributed manner, thereby eliminating the need for a charging system for each parking lot layout, thereby It can reduce the construction cost of the parking lot and improve the efficiency of charging management.
  • a first aspect of the embodiments of the present invention discloses a charging management method in a multiple parking lot scenario, including:
  • the vehicle-mounted terminal collects the parking position when the vehicle is parked and reports the parking position to the centralized charging platform;
  • the centralized charging platform identifies whether the parking location is located in a certain target parking lot of the preset plurality of parking lots, and if yes, determines a charging rule corresponding to the target parking lot, notifying the in-vehicle terminal to start Statistical parking time;
  • the vehicle-mounted terminal When the vehicle leaves the parking position, the vehicle-mounted terminal reports the statistical parking time to the centralized charging platform;
  • the centralized charging platform generates a payment bill according to the parking duration and the charging rule, and sends the payment bill to the vehicle-mounted terminal, and deducts a corresponding parking fee from the electronic account corresponding to the vehicle-mounted terminal according to the payment bill.
  • the centralized charging platform identifies whether the parking location is located in a target parking lot of a preset plurality of parking lots, The method also includes:
  • the vehicle-mounted terminal collects a parking location when the vehicle is parked, and reports the parking location to the centralized charging platform, including:
  • the vehicle terminal actively collects the parking position when the vehicle is parked
  • the vehicular 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 with the open connection a period of time, identifying whether a current system time of the in-vehicle terminal is within the open access period in which the routing node is configured;
  • the routing node If the current system time of the 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 the maximum number of terminal accesses specified by the routing node ;
  • the in-vehicle terminal establishes a wireless connection with the routing node, and sends the parking location to The routing node sends the parking location to the centralized charging platform by the routing node.
  • the method further includes:
  • the routing node Determining, by the routing node, whether a current workload of the routing node exceeds a workload specified by the routing node; if the current workload of the routing node does not exceed a workload specified by the routing node, the routing node passes the weather
  • the information query port initiates a weather information query request including the parking location to a weather service platform corresponding to the weather information query port; and the routing node receives the weather service platform returns the weather information query port
  • the routing node determines whether there are neighboring nodes around, and the current workload of the neighboring node does not exceed Describe a workload specified by a neighboring node; if the neighboring node exists, the routing node initiates weather information including the parking location to the neighboring node And requesting, by the neighboring node, the weather information query request to the weather service platform corresponding to the weather information query port, and the weather service platform queries the neighboring node through the weather information query port Returning the weather information of the preset duration corresponding to the parking location; and the routing node receives the weather information of the preset duration corresponding to the parking location sent by the neighboring node and sends the weather information to the vehicle-mounted terminal.
  • the method further includes:
  • the vehicle-mounted terminal collects electrocardiogram data of the driver driving the vehicle, and performs denoising processing on the electrocardiogram data; extracts an R-wave peak in the electrocardiogram data subjected to denoising by using an electrocardiogram R-wave extraction algorithm, and calculates the passage The RR spacing between adjacent R waves in the ECG data of the denoising process; calculating the frequency domain index, the time domain index and the nonlinear index of the RR spacing; wherein the frequency domain indicator includes a parasympathetic nerve activity index, The domain indicator includes a short-range heart rate variability indicator; the short-term heart rate variability index is calculated by obtaining a root mean square of a sum of squares of the RR gap differences; the parasympathetic nerve activity index is calculated by a fast Fourier transform; The linear index is calculated by a fractal dimension calculation method; the vitality value of the driver's emotion is analyzed according to the frequency domain index, the time domain index, and the nonlinear index; the vitality value is according to the time domain index and
  • the vehicle-mounted terminal actively collects the parking position when the vehicle is parked, including:
  • the vehicle-mounted terminal acquires at least two different positioning interfaces configured by the vehicle-mounted terminal when the vehicle is parked, and sends a positioning request to the at least two different positioning interfaces to trigger each of the positioning interfaces to respectively receive the received positioning.
  • the request is sent to the corresponding positioning server; and the location information sent by the positioning server corresponding to the at least one positioning interface is obtained, and the response time from the first time to the second time is obtained, where the first time is a time at which the positioning interface sends the positioning request, where the second time is a time when the positioning interface receives the location information; and comparing a response time corresponding to each positioning interface with a response threshold, and The position information with the highest positioning accuracy is extracted as the parking position from the position information received by the positioning interface whose response time does not exceed the response threshold.
  • a second aspect of the embodiments of the present invention discloses a charging management system in a multi-parking scene, including an in-vehicle terminal and a centralized charging platform, wherein:
  • An in-vehicle terminal configured to collect a parking location when the vehicle is parked and report the parking location to the centralized charging platform
  • the centralized charging platform is configured to identify whether the parking location is located in a certain target parking lot of the preset plurality of parking lots, and if yes, determine a charging rule corresponding to the target parking lot, Notifying the vehicle terminal to start counting the parking time;
  • the vehicle-mounted terminal is further configured to report the statistical parking time period to the centralized charging platform when the vehicle leaves the parking position;
  • the centralized charging platform is further configured to generate a payment bill according to the parking duration and the charging rule, and send the payment bill to the vehicle-mounted terminal, and deduct the corresponding electronic account from the vehicle-mounted terminal according to the payment bill. Parking fee.
  • the centralized charging platform is further configured to identify whether the parking location is located in a certain target parking lot of a preset plurality of parking lots. Before determining whether the parking position is allowed to stop, if not allowed to stop, sending prompt information indicating that the parking position is not allowed to stop to the vehicle terminal; if the parking is allowed, performing the identification Whether the parking location is located in a certain target parking lot of the preset plurality of parking lots.
  • the manner in which the vehicle-mounted terminal collects a parking location when the vehicle is parked and reports the parking location to the centralized charging platform is specifically:
  • the vehicle-mounted terminal is configured to actively collect the parking position when the vehicle is parked; whether the routing node is preset in the surrounding environment, and if the routing node is preset, detecting whether the routing node is configured with an open access period, if The routing node is configured with the open access period, and identifies 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 in-vehicle terminal is located in the In the open access period in which the routing node is configured, detecting whether the number of terminals currently accessed by the routing node exceeds the maximum number of terminal accesses specified by the routing node; if the routing node is currently accessing The number of terminals does not exceed the maximum number of terminal accesses specified by the routing node, establishing a wireless connection with the routing node, and transmitting the parking location to the routing node, the parking node to park the parking
  • the location and vehicle identification are sent to the centralized charging platform.
  • the routing node is further configured to determine, after sending the parking location to the centralized charging platform, whether the current workload of the routing node is Exceeding the workload specified by the routing node; if the current workload of the routing node does not exceed the workload specified by the routing node, the weather information query port is used to initiate the inclusion of the weather service platform corresponding to the weather information query port.
  • a weather information inquiry request for the parking location and receiving, by the weather service platform, the weather information corresponding to the preset time period corresponding to the parking location returned by the weather information inquiry port; and the preset duration corresponding to the parking location Weather information is sent to the vehicle terminal;
  • the neighboring node Initiating a weather information query request including the parking location, so that the neighboring node initiates the weather information query request to a weather service platform corresponding to the weather information query port, and the weather service platform passes the weather And the information query port returns the weather information of the preset duration corresponding to the parking location to the neighboring node; and receiving the weather information of the preset duration corresponding to the parking location sent by the neighboring node, and sending the weather information to the location
  • the vehicle terminal is described.
  • the vehicle-mounted terminal is further configured to collect electrocardiogram data of a driver driving the vehicle, and perform denoising processing on the electrocardiogram data; Extracting R wave peaks in the degaussed ECG data by using an electrocardiogram R wave extraction algorithm, and calculating an RR interval between adjacent R waves in the denoised processed electrocardiogram data; calculating a frequency domain index of the RR spacing And a time domain indicator and a non-linear indicator; 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 indicator obtains the square of the RR spacing difference
  • the root mean square of the sum is calculated; the parasympathetic nerve activity index is calculated by a fast Fourier transform; the nonlinear index is calculated by a fractal dimension calculation method; according to the frequency domain index, the time domain index, and the nonlinear index And analyzing an activity value of the driver's
  • the manner in which the vehicle-mounted terminal actively collects the parking position when the vehicle is parked is specifically:
  • the vehicle-mounted terminal acquires at least two different positioning interfaces configured by the vehicle-mounted terminal when the vehicle is parked, and sends a positioning request to the at least two different positioning interfaces to trigger each of the positioning interfaces to respectively receive the received positioning.
  • the request is sent to the corresponding positioning server; and the location information sent by the positioning server corresponding to the at least one positioning interface is obtained, and the response time from the first time to the second time is obtained, where the first time is a time at which the positioning interface sends the positioning request, where the second time is a time when the positioning interface receives the location information; and comparing a response time corresponding to each positioning interface with a response threshold, and The position information with the highest positioning accuracy is extracted as the parking position from the position information received by the positioning interface whose response time does not exceed the response threshold.
  • the embodiment of the invention has the following beneficial effects:
  • the vehicle-mounted terminal reports the parking position to the centralized charging platform when the vehicle is parked; and the centralized charging platform recognizes that the parking position is located in a certain target parking lot of the preset plurality of parking lots, and determines the target parking.
  • the centralized charging platform generates a payment bill according to the parking time and charging rules and sends the payment bill to the vehicle terminal, and deducts the corresponding parking fee from the electronic account corresponding to the vehicle terminal according to the payment bill.
  • centralized charging can be performed on the charging of a plurality of parking lots arranged in a distributed manner, and a charging system for each parking lot layout is omitted, thereby reducing the construction cost of the parking lot and improving the charging management efficiency.
  • FIG. 1 is a schematic flowchart of a charging management method in a multi-parking scene according to an embodiment of the present invention
  • FIG. 2 is a schematic flow chart of another charging management method in a multi-parking scene according to an embodiment of the present invention
  • FIG. 3 is a schematic diagram of an interface of a vehicle terminal displaying a payment list according to an embodiment of the present invention
  • FIG. 4 is a schematic structural diagram of a charging management system in a multi-parking scene according to an embodiment of the present invention.
  • the embodiment of the invention discloses a charging management method and system in a multi-parking scene, which can centrally manage the charging of a plurality of parking lots arranged in a distributed manner, thereby eliminating the need for a charging system for each parking lot layout, thereby It can reduce the construction cost of the parking lot and improve the efficiency of charging management. The details are described below separately.
  • FIG. 1 is a schematic flowchart diagram of a charging management method in a multi-parking scene according to an embodiment of the present invention. As shown in FIG. 1 , the charging management method in the multiple parking lot scenario may include the following steps:
  • the vehicle terminal collects the parking position when the vehicle is parked and reports the parking position to the centralized charging platform.
  • the wireless communication module built in the 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 also input the upper frequency point 868MHz, the lower frequency point 908MHz, so the wireless communication module can automatically define the communication frequency band as 868MHz ⁇ 908MHz, in order to comply with the European ETSI standard; or, you can input the upper frequency point 918MHz, the next The frequency is 928MHz, so the wireless communication module can automatically define the communication frequency band as 918MHz ⁇ 928MHz to meet the requirements of the US FCC standard; or, the communication frequency band of the wireless communication module can also be defined as complying with the Japanese ARIB standard or the Canadian IC standard.
  • the embodiment of the invention is not limited.
  • the vehicle-mounted terminal may use Frequency Division Multiple Access (FDMA), Frequency-Hopping Spread Spectrum (FHSS), Dynamic Time Division Multiple Access (DTDMA), and backoff.
  • FDMA Frequency Division Multiple Access
  • FHSS Frequency-Hopping Spread Spectrum
  • DTDMA Dynamic Time Division Multiple Access
  • CSMA multiplexing
  • the manner in which the vehicle-mounted terminal collects the parking position when the vehicle is parked may be:
  • the vehicle terminal can acquire at least two different positioning interfaces configured by the vehicle terminal when the vehicle is parked; for example, at least two different positioning interfaces may include Baidu's nlpservice positioning interface, Gaode's nlpservice positioning interface, and Google's nlpservice positioning.
  • An interface or the like is not limited in the embodiment of the present invention; and the 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; And acquiring 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 And a time when the positioning interface receives the location information; and comparing the response time corresponding to each positioning interface with the response threshold, and extracting the location with the highest positioning accuracy from the location information received by the positioning interface whose response time does not exceed the response threshold Information as a parking location.
  • the implementation of the foregoing embodiment can accurately acquire the parking position and improve the positioning accuracy.
  • the method described in FIG. 1 may also perform the following steps, namely:
  • the in-vehicle terminal can recognize whether the emotion of the driver who drives the vehicle is stable, and if it is unstable, the in-vehicle terminal can prompt the driver to stop, so that it is possible to avoid a driving accident easily due to the driver's emotional instability.
  • the vehicle-mounted terminal collects electrocardiogram data of a driver who drives the vehicle.
  • the vehicle-mounted terminal can establish a communication connection with a wearable device (such as a wristband) worn by a driver who drives the vehicle, and the vehicle-mounted terminal can be worn by a driver who drives the vehicle.
  • Wearable device to collect electrocardiogram data of a driver driving the vehicle;
  • the 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 an adjacent R wave in the degaussed ECG data.
  • RR spacing and, calculating the frequency domain index, time domain index and non-linear index of RR spacing; wherein the frequency domain indicator includes parasympathetic nerve activity index, the time domain index includes short-range heart rate variability index; the short-range heart rate variability index obtains RR
  • the root mean square of the sum of the squared differences of the gaps 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 vehicle terminal can analyze the emotional activity value of the driver 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 calculated value of the equation; and, based on the vitality value, identifies whether the driver's mood is unstable, and if unstable, prompts the driver to stop.
  • the implementation of the above embodiment can accurately identify whether the driver's emotion is stable.
  • the centralized charging platform identifies whether the parking location is located in a certain target parking lot of the preset plurality of parking lots. If yes, the charging rule corresponding to the target parking lot is determined, and the in-vehicle terminal is notified to start counting the parking time.
  • the centralized charging platform can determine the parking before the parking location is located in a certain target parking lot of the preset plurality of parking lots. Whether the location is allowed to stop, if not allowed to stop, send a prompt message to the in-vehicle terminal indicating that the parking location is not allowed to stop; if the parking is allowed, step 102 is performed.
  • the charging rule corresponding to the target parking lot may be 5 yuan, 10 yuan, 15 yuan, etc. per unit time (for example, 1 hour), which is not limited in the embodiment of the present invention.
  • the vehicle-mounted terminal reports the statistical parking time to the centralized charging platform.
  • the vehicle-mounted terminal when the vehicle leaves the parking position, can encrypt the statistical parking time period and then report it to the centralized charging platform.
  • the centralized charging platform generates a payment bill according to the parking duration and the charging rule, and sends the payment bill to the vehicle terminal, and deducts the corresponding parking fee from the electronic account corresponding to the vehicle terminal according to the payment bill.
  • FIG. 1 It can be seen that implementing the method described in FIG. 1 can centrally manage the charging of a plurality of parking lots arranged in a distributed manner, thereby eliminating the need for a charging system for each parking lot layout, thereby reducing the construction cost of the parking lot and increasing the charging. Management efficiency.
  • FIG. 2 is a schematic flowchart diagram of another charging management method in a multi-parking scene according to an embodiment of the present invention.
  • the charging management method in the multiple parking lot scenario may include the following steps:
  • the vehicle terminal actively collects the parking position when the vehicle stops.
  • the manner in which the vehicle-mounted terminal actively collects the parking position when the vehicle is parked may be:
  • the vehicle-mounted terminal can acquire at least two different positioning interfaces configured by the vehicle-mounted terminal when the vehicle is parked; and the vehicle-mounted terminal can send the positioning request to the at least two different positioning interfaces to trigger each of the positioning interfaces to be respectively received.
  • the positioning request is sent to the corresponding positioning server; and the location information sent by the positioning server corresponding to the at least one positioning interface is obtained, and the response time from the first time to the second time is obtained, and the first time is sent for each positioning interface.
  • the requested moment, the second moment is the moment when the location information is received by each positioning interface; and the response time corresponding to each positioning interface is compared with the response threshold, and is received from the positioning interface whose response time does not exceed the response threshold
  • the location information of the location information is extracted as the parking location.
  • the implementation of the foregoing embodiment can accurately acquire the parking position and improve the positioning accuracy.
  • the method described in FIG. 2 may also perform the following steps, namely:
  • the in-vehicle terminal can recognize whether the emotion of the driver who drives the vehicle is stable, and if it is unstable, the in-vehicle terminal can prompt the driver to stop, so that it is possible to avoid a driving accident easily due to the driver's emotional instability.
  • the manner in which the in-vehicle terminal identifies whether the mood of the driver driving the vehicle is stable may be:
  • the vehicle-mounted terminal collects electrocardiogram data of a driver who drives the vehicle.
  • the vehicle-mounted terminal can establish a communication connection with a wearable device (such as a wristband) worn by a driver who drives the vehicle, and the vehicle-mounted terminal can be worn by a driver who drives the vehicle.
  • a wearable device such as a wristband
  • the wearable device collects electrocardiogram data of the driver driving the vehicle; for example, the vehicle terminal can detect whether the travel time of the vehicle where the vehicle terminal is located exceeds a preset duration, and if the preset duration is exceeded, the vehicle terminal can detect whether the vehicle terminal is Establishing a communication connection with a wearable device (such as a wristband) worn by a driver of the vehicle in which the vehicle terminal is located, If yes, the in-vehicle terminal can notify the wearable device worn by the driver to transmit the driver's electrocardiogram data to the in-vehicle terminal;
  • a wearable device such as a wristband
  • the 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 an adjacent R wave in the degaussed ECG data.
  • RR spacing and, calculating the frequency domain index, time domain index and non-linear index of RR spacing; wherein the frequency domain indicator includes parasympathetic nerve activity index, the time domain index includes short-range heart rate variability index; the short-range heart rate variability index obtains RR
  • the root mean square of the sum of the squared differences of the gaps 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 vehicle terminal can analyze the emotional activity value of the driver 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 calculated value of the equation; and, based on the vitality value, identifies whether the driver's mood is unstable, and if unstable, prompts the driver to stop.
  • the implementation of the above embodiment can accurately identify whether the driver's emotion is stable.
  • the in-vehicle terminal scans whether a routing node is preset in the surrounding environment. If the routing node is preset, detecting whether the routing node is configured with an open access period, if the routing node is configured with an open access period, identifying the in-vehicle terminal Whether the current system time is located in the open access period in which the routing node is configured; if the current system time of the 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 the routing node The specified maximum number of terminal accesses; if the number of terminals currently accessed by the routing node does not exceed the maximum number of terminal accesses specified by the routing node, the in-vehicle terminal establishes a wireless connection with the routing node and sends the parking location to the routing node. The routing node sends the parking location to the centralized charging platform.
  • the method described in FIG. 2 may also perform the following steps:
  • the routing node determines whether the current workload of the routing node exceeds the workload specified by the routing node; if the current workload of the routing node does not exceed the workload specified by the routing node, the routing node queries the weather service to query the weather service corresponding to the port through the weather information query port.
  • the platform initiates a weather information query request including a parking location; and the routing node receives the weather information of the preset duration corresponding to the parking location returned by the weather service platform through the weather information query port; and the routing node sets the preset weather information corresponding to the parking location Issued to the vehicle terminal.
  • the routing node may determine whether there are neighboring nodes around it, where the neighboring node The current workload does not exceed the workload specified by the neighboring node; if there is a neighboring node, the routing node initiates a weather information query request including the parking location to the neighboring node, so that the neighboring node queries the weather service corresponding to the weather information port
  • the platform initiates a weather information query request, and the weather service platform returns the weather information of the preset duration corresponding to the parking location to the neighboring node through the weather information query port; and the routing node receives the preset duration corresponding to the parking location sent by the neighboring node.
  • the weather information is sent to the vehicle terminal.
  • the implementation of the foregoing embodiment allows the driver to timely know the weather information of the preset duration (eg, 1 day) corresponding to the parking location, so that the corresponding vehicle protection preparation can be performed for the weather information.
  • the preset duration eg, 1 day
  • the centralized charging platform identifies whether the parking location is located in a certain target parking lot of the preset plurality of parking lots. If yes, the charging rule corresponding to the target parking lot is determined, and the in-vehicle terminal is notified to start counting the parking time.
  • the centralized charging platform can determine the parking before the parking location is located in a certain target parking lot of the preset plurality of parking lots. Whether the location is allowed to stop, if not allowed to stop, send prompt information to the in-vehicle terminal indicating that the parking location is not allowed to stop; if allowed to stop, step 203 is performed.
  • the vehicle-mounted terminal reports the statistical parking time to the centralized charging platform when the vehicle leaves the parking position.
  • the vehicle-mounted terminal when the vehicle leaves the parking position, can encrypt the statistical parking time period and then report it to the centralized charging platform.
  • the centralized charging platform generates a payment bill according to the parking duration and the charging rule, and sends the payment bill to the vehicle terminal, and deducts the corresponding parking fee from the electronic account corresponding to the vehicle terminal according to the payment bill.
  • FIG. 3 is a schematic diagram of an interface of a payment bill displayed by an in-vehicle terminal according to an embodiment of the present invention.
  • the pay bill may include information such as a parking location, a parking time, a parking fee, and a charging rule.
  • FIG. 4 is a schematic structural diagram of a charging management system in a multi-parking scene according to an embodiment of the present invention. As shown in Figure 4, the system can include:
  • the vehicle terminal 401 is configured to collect a parking location when the vehicle is parked and report the parking location to the set Medium toll platform 402;
  • the centralized charging platform 402 is configured to identify whether the parking location is located in a certain target parking lot of the preset plurality of parking lots. If yes, determine the charging rule corresponding to the target parking lot, and notify the in-vehicle terminal 401 to start counting the parking time. ;
  • the vehicle terminal 401 is further configured to report the statistical parking time to the centralized charging platform 402 when the vehicle leaves the parking position;
  • the centralized charging platform 402 is further configured to generate a payment bill according to the parking duration and the charging rule, and send the payment bill to the in-vehicle terminal 401, and deduct the corresponding parking fee from the electronic account corresponding to the in-vehicle terminal 401 according to the payment bill.
  • the centralized charging platform 402 is further configured to determine whether the parking location is allowed to stop before identifying whether the parking location is located in a certain target parking lot of the plurality of preset parking lots, and if not allowed to stop, send to the vehicle terminal 401 The prompt information for indicating that the parking position is not allowed to stop; if the parking is allowed, performing the above-mentioned identification whether the parking position is located in a certain target parking lot of the plurality of preset parking lots.
  • the manner in which the vehicle-mounted terminal 401 collects the parking position when the vehicle is parked and reports the parking position to the centralized charging platform 402 is specifically as follows:
  • the vehicle-mounted terminal 401 is configured to actively collect a parking position when the vehicle is parked; 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
  • the open access period is configured to identify 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 in-vehicle terminal is located in the open access of the routing node configured During the time period, it is detected whether the number of terminals currently accessed by the routing node exceeds the maximum number of terminal accesses specified by the routing node; if the number of terminals currently accessed by the routing node does not exceed the maximum number of terminal accesses specified by the routing node, establishment and routing A wireless connection between the nodes, and the parking location is sent to the routing node, which sends the parking location to the centralized charging platform.
  • the routing node is further configured to: after sending the parking location to the centralized charging platform, determine whether the current workload of the routing node exceeds the workload specified by the routing node; if the current workload of the routing node does not exceed the workload specified by the routing node, Weather information inquiry port to weather letter
  • the weather service platform corresponding to the information inquiry port initiates a weather information query request including a parking location; and receives the weather information of the preset time length corresponding to the parking location returned by the weather service platform through the weather information inquiry port; and preset time duration corresponding to the parking location Weather information is sent to the vehicle terminal;
  • the current workload of the routing node exceeds the workload specified by the routing node, determining whether there is a neighboring node around the routing node, the current workload of the neighboring node does not exceed the workload specified by the neighboring node; if there is a neighboring node And initiating a weather information query request including a parking location to the neighboring node, so that the neighboring node initiates a weather information query request to the weather service platform corresponding to the weather information query port, and the weather service platform queries the port to the neighboring node through the weather information query port. Returning the weather information of the preset duration corresponding to the parking location; and receiving the weather information of the preset duration corresponding to the parking location sent by the adjacent node and delivering the weather information to the vehicle terminal.
  • the vehicle-mounted terminal is further configured to collect electrocardiogram data of the driver of the driving vehicle, and perform the electrocardiogram data.
  • Noise processing extracting R wave peaks in the degaussed ECG data by using an electrocardiogram R wave extraction algorithm, and calculating an RR spacing between adjacent R waves in the denoised processed electrocardiogram data; calculating the RR spacing a frequency domain indicator, a time domain indicator, and a non-linear indicator; 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 indicator obtains the RR spacing Calculating the root mean square of the sum of squared differences; the parasympathetic nerve activity index is calculated by a fast Fourier transform; the nonlinear index is calculated by a fractal dimension calculation method; according to the frequency domain index, the time domain index, and a non-linear indicator that analyzes an activity value
  • 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

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Pathology (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Psychiatry (AREA)
  • Signal Processing (AREA)
  • Cardiology (AREA)
  • Social Psychology (AREA)
  • Developmental Disabilities (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Educational Technology (AREA)
  • Hospice & Palliative Care (AREA)
  • Physiology (AREA)
  • Psychology (AREA)
  • Child & Adolescent Psychology (AREA)
  • General Physics & Mathematics (AREA)
  • Finance (AREA)
  • Business, Economics & Management (AREA)
  • Mathematical Physics (AREA)
  • Traffic Control Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

一种多停车场场景下的收费管理方法及系统，包括：车载终端在车辆停车时将停车位置上报给集中收费平台；集中收费平台识别出停车位置位于预设的多个停车场中的某一目标停车场内时，确定出目标停车场对应的计费规则并通知车载终端开始统计停车时长；车载终端在车辆离开停车位置时，将统计的停车时长上报给集中收费平台；集中收费平台根据停车时长和计费规则生成付费账单并发送给车载终端，并根据付费账单从车载终端对应的电子账号中扣除相应的停车费用。可对分布设置的多个停车场的收费进行集中式管理，省去了每一个停车场布局一套收费系统。

Description

一种多停车场场景下的收费管理方法及系统 技术领域
本发明涉及物联网技术领域，尤其涉及一种多停车场场景下的收费管理方法及系统。
背景技术
当前，随着群众生活水平的不断提升，我国的汽车刚性需求保持旺盛，汽车保有量保持迅猛增长趋势，2016年新注册登记的汽车达2752万辆，保有量净增2212万辆，均为历史最高水平。全国有49个城市的汽车保有量超过100万辆，18个城市的汽车保有量超200万辆，6个城市的汽车保有量超300万辆。其中，汽车保有量超过200万辆的18个城市依次是北京、成都、重庆、上海、深圳、苏州、天津、郑州、西安、杭州、武汉、广州、石家庄、东莞、南京、青岛、宁波、佛山。
在汽车保有量保持迅猛增长的过程中，为了便于驾驶员停车，越来越多的停车场被逐渐的开发出来。在实践中发现，每开发一个停车场就需要相应的布局一套收费系统，这不仅增加了停车场的建设成本，而且分布设置的多个停车场的收费无法进行集中式管理，不利于提高收费管理效率。
发明内容
本发明实施例公开了一种多停车场场景下的收费管理方法及系统，可以对分布设置的多个停车场的收费进行集中式管理，省去了每一个停车场布局一套收费系统，从而可以降低停车场的建设成本，提高收费管理效率。
本发明实施例第一方面公开一种多停车场场景下的收费管理方法，包括：
车载终端在车辆停车时采集停车位置并将所述停车位置上报给集中收费平台；
所述集中收费平台识别所述停车位置是否位于预设的多个停车场中的某一目标停车场内，如果是，确定出所述目标停车场对应的计费规则，通知所述车载终端开始统计停车时长；
所述车载终端在所述车辆离开所述停车位置时，将统计的停车时长上报给所述集中收费平台；
所述集中收费平台根据所述停车时长和所述计费规则生成付费账单并发送给所述车载终端，以及根据所述付费账单从所述车载终端对应的电子账号中扣除相应的停车费用。
作为一种可选的实施方式，在本发明实施例第一方面中，所述集中收费平台识别所述停车位置是否位于预设的多个停车场中的某一目标停车场内之前，所述方法还包括：
所述集中收费平台确定所述停车位置是否被允许停车，如果不被允许停车，向所述车载终端发送用于指示所述停车位置不被允许停车的提示信息；如果被允许停车，执行所述的识别所述停车位置是否位于预设的多个停车场中的某一目标停车场内。
作为一种可选的实施方式，在本发明实施例第一方面中，所述车载终端在车辆停车时采集停车位置并将所述停车位置上报给集中收费平台，包括：
车载终端在车辆停车时主动采集停车位置；
所述车载终端扫描周围环境中是否预先设置有路由节点，如果预先设置有所述路由节点，检测所述路由节点是否被配置有开放接入时段，如果所述路由节点被配置有所述开放接入时段，识别所述车载终端的当前系统时间是否位于所述路由节点被配置的所述开放接入时段内；
如果所述车载终端的当前系统时间位于所述路由节点被配置的所述开放接入时段内，检测所述路由节点的当前接入的终端数量是否超过所述路由节点指定的最大终端接入数量；
如果所述路由节点的当前接入的终端数量未超过所述路由节点指定的最大终端接入数量，所述车载终端建立与所述路由节点之间的无线连接，并且将所述停车位置发送给所述路由节点，由所述路由节点将所述停车位置发送给集中收费平台。
作为一种可选的实施方式，在本发明实施例第一方面中，所述路由节点将所述停车位置发送给集中收费平台之后，所述方法还包括:
所述路由节点判断所述路由节点的当前工作负荷是否超过所述路由节点指定的工作负荷；如果所述路由节点的当前工作负荷未超过所述路由节点指定的工作负荷，所述路由节点通过天气信息查询端口向所述天气信息查询端口对应的天气服务平台发起包括所述停车位置的天气信息查询请求；以及，所述路由节点接收所述天气服务平台通过所述天气信息查询端口返回的所述停车位置对应的预设时长的天气信息；所述路由节点将所述停车位置对应的预设时长的天气信息下发给所述车载终端；
如果所述路由节点判断出所述路由节点的当前工作负荷超过所述路由节点指定的工作负荷，所述路由节点确定其周围是否存在相邻节点，所述相邻节点的当前工作负荷未超过所述相邻节点指定的工作负荷；如果存在所述相邻节点，所述路由节点向所述相邻节点发起包括所述停车位置的天气信息查 询请求，以使所述相邻节点向所述天气信息查询端口对应的天气服务平台发起所述天气信息查询请求，并由所述天气服务平台通过所述天气信息查询端口向所述相邻节点返回所述停车位置对应的预设时长的天气信息；以及，所述路由节点接收所述相邻节点发送的所述停车位置对应的预设时长的天气信息并下发给所述车载终端。
作为一种可选的实施方式，在本发明实施例第一方面中，所述方法还包括：
车载终端采集驾驶所述车辆的驾驶员的心电图数据，并对所述心电图数据进行去噪处理；采用心电图R波提取算法提取经过去噪处理的心电图数据中的R波峰值，以及计算所述经过去噪处理的心电图数据中相邻R波之间RR间距；计算所述RR间距的频域指标、时域指标及非线性指标；其中，所述频域指标包括副交感神经活性指标，所述时域指标包括短程心率变动性指标；所述短程心率变动性指标通过获取所述RR间距差值平方和的均方根来计算；所述副交感神经活性指标通过快速傅里叶变换来计算；所述非线性指标通过分形维数计算方法来计算；根据所述频域指标、时域指标及非线性指标，分析所述驾驶员的情绪的活力值；所述活力值为根据所述时域指标、频域指标及非线性指标建立的多元线性回归方程计算得到的值；根据所述活力值识别所述驾驶员的情绪是否不稳定，如果不稳定，提示所述驾驶员停车；
所述车载终端在车辆停车时主动采集停车位置，包括：
车载终端在车辆停车时获取所述车载终端配置的至少两个不同的定位接口，将定位请求发送至所述至少两个不同的定位接口，以触发每个所述定位接口分别将接收到的定位请求发送给各自对应的定位服务器；以及，获取至少一个所述定位接口对应的定位服务器发送的位置信息，并获取从第一时刻到第二时刻的响应时间，所述第一时刻为每个所述定位接口发送定位请求的时刻，所述第二时刻为每个所述定位接口接收到所述位置信息的时刻；以及，将与每个定位接口对应的响应时间与响应阈值进行比较，并从响应时间未超过响应阈值的定位接口所接收的位置信息中提取定位精度最高的位置信息作为停车位置。
本发明实施例第二方面公开一种多停车场场景下的收费管理系统，包括车载终端、集中收费平台，其中：
车载终端，用于在车辆停车时采集停车位置并将所述停车位置上报给所述集中收费平台；
所述集中收费平台，用于识别所述停车位置是否位于预设的多个停车场中的某一目标停车场内，如果是，确定出所述目标停车场对应的计费规则， 通知所述车载终端开始统计停车时长；
所述车载终端，还用于在所述车辆离开所述停车位置时，将统计的停车时长上报给所述集中收费平台；
所述集中收费平台，还用于根据所述停车时长和所述计费规则生成付费账单并发送给所述车载终端，以及根据所述付费账单从所述车载终端对应的电子账号中扣除相应的停车费用。
作为一种可选的实施方式，在本发明实施例第二方面中，所述集中收费平台，还用于在识别所述停车位置是否位于预设的多个停车场中的某一目标停车场内之前，确定所述停车位置是否被允许停车，如果不被允许停车，向所述车载终端发送用于指示所述停车位置不被允许停车的提示信息；如果被允许停车，执行所述的识别所述停车位置是否位于预设的多个停车场中的某一目标停车场内。
作为一种可选的实施方式，在本发明实施例第二方面中，所述车载终端在车辆停车时采集停车位置并将所述停车位置上报给集中收费平台的方式具体为：
车载终端，用于在车辆停车时主动采集停车位置；扫描周围环境中是否预先设置有路由节点，如果预先设置有所述路由节点，检测所述路由节点是否被配置有开放接入时段，如果所述路由节点被配置有所述开放接入时段，识别所述车载终端的当前系统时间是否位于所述路由节点被配置的所述开放接入时段内；如果所述车载终端的当前系统时间位于所述路由节点被配置的所述开放接入时段内，检测所述路由节点的当前接入的终端数量是否超过所述路由节点指定的最大终端接入数量；如果所述路由节点的当前接入的终端数量未超过所述路由节点指定的最大终端接入数量，建立与所述路由节点之间的无线连接，并且将所述停车位置发送给所述路由节点，由所述路由节点将所述停车位置和车辆标识发送给集中收费平台。
作为一种可选的实施方式，在本发明实施例第二方面中，所述路由节点，还用于在将所述停车位置发送给集中收费平台之后，判断所述路由节点的当前工作负荷是否超过所述路由节点指定的工作负荷；如果所述路由节点的当前工作负荷未超过所述路由节点指定的工作负荷，通过天气信息查询端口向所述天气信息查询端口对应的天气服务平台发起包括所述停车位置的天气信息查询请求；以及，接收所述天气服务平台通过所述天气信息查询端口返回的所述停车位置对应的预设时长的天气信息；将所述停车位置对应的预设时长的天气信息下发给所述车载终端；
或者，如果所述路由节点的当前工作负荷超过所述路由节点指定的工作 负荷，确定所述路由节点的周围是否存在相邻节点，所述相邻节点的当前工作负荷未超过所述相邻节点指定的工作负荷；如果存在所述相邻节点，向所述相邻节点发起包括所述停车位置的天气信息查询请求，以使所述相邻节点向所述天气信息查询端口对应的天气服务平台发起所述天气信息查询请求，并由所述天气服务平台通过所述天气信息查询端口向所述相邻节点返回所述停车位置对应的预设时长的天气信息；以及，接收所述相邻节点发送的所述停车位置对应的预设时长的天气信息并下发给所述车载终端。
作为一种可选的实施方式，在本发明实施例第二方面中，所述车载终端，还用于采集驾驶所述车辆的驾驶员的心电图数据，并对所述心电图数据进行去噪处理；采用心电图R波提取算法提取经过去噪处理的心电图数据中的R波峰值，以及计算所述经过去噪处理的心电图数据中相邻R波之间RR间距；计算所述RR间距的频域指标、时域指标及非线性指标；其中，所述频域指标包括副交感神经活性指标，所述时域指标包括短程心率变动性指标；所述短程心率变动性指标通过获取所述RR间距差值平方和的均方根来计算；所述副交感神经活性指标通过快速傅里叶变换来计算；所述非线性指标通过分形维数计算方法来计算；根据所述频域指标、时域指标及非线性指标，分析所述驾驶员的情绪的活力值；所述活力值为根据所述时域指标、频域指标及非线性指标建立的多元线性回归方程计算得到的值；根据所述活力值识别所述驾驶员的情绪是否不稳定，如果不稳定，提示所述驾驶员停车；
所述车载终端在车辆停车时主动采集停车位置的方式具体为：
车载终端在车辆停车时获取所述车载终端配置的至少两个不同的定位接口，将定位请求发送至所述至少两个不同的定位接口，以触发每个所述定位接口分别将接收到的定位请求发送给各自对应的定位服务器；以及，获取至少一个所述定位接口对应的定位服务器发送的位置信息，并获取从第一时刻到第二时刻的响应时间，所述第一时刻为每个所述定位接口发送定位请求的时刻，所述第二时刻为每个所述定位接口接收到所述位置信息的时刻；以及，将与每个定位接口对应的响应时间与响应阈值进行比较，并从响应时间未超过响应阈值的定位接口所接收的位置信息中提取定位精度最高的位置信息作为停车位置。
与现有技术相比，本发明实施例具有以下有益效果：
本发明实施例中，车载终端在车辆停车时将停车位置上报给集中收费平台；集中收费平台识别出停车位置位于预设的多个停车场中的某一目标停车场内时，确定出目标停车场对应的计费规则并通知车载终端开始统计停车时长；车载终端在车辆离开停车位置时，将统计的停车时长上报给集中收费平 台；集中收费平台根据停车时长和计费规则生成付费账单并发送给车载终端，并根据付费账单从车载终端对应的电子账号中扣除相应的停车费用。可见，实施本发明实施例，可以对分布设置的多个停车场的收费进行集中式管理，省去了每一个停车场布局一套收费系统，从而可以降低停车场的建设成本，提高收费管理效率。
附图说明
为了更清楚地说明本发明实施例中的技术方案，下面将对实施例中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1是本发明实施例公开的一种多停车场场景下的收费管理方法的流程示意图；
图2是本发明实施例公开的另一种多停车场场景下的收费管理方法的流程示意图；
图3是本发明实施例公开的一种车载终端显示付费清单的界面示意图；
图4是本发明实施例公开的一种多停车场场景下的收费管理系统的结构示意图。
具体实施方式
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
本发明实施例公开了一种多停车场场景下的收费管理方法及系统，可以对分布设置的多个停车场的收费进行集中式管理，省去了每一个停车场布局一套收费系统，从而可以降低停车场的建设成本，提高收费管理效率。以下分别进行详细说明。
实施例一
请参阅图1，图1是本发明实施例公开的一种多停车场场景下的收费管理方法的流程示意图。如图1所示，该多停车场场景下的收费管理方法可以包括以下步骤：
101、车载终端在车辆停车时采集停车位置并将停车位置上报给集中收费平台。
本发明实施例中，车载终端内置的无线通讯模块在生产时，可以输入上频点470MHz，下频点510MHz，这样无线通讯模块可以自动将通讯频段定义为470MHz～510MHz，以符合中国SRRC标准的规定；或者，也可以输入上频点868MHz，下频点908MHz，这样无线通讯模块可以自动将通讯频段定义为868MHz～908MHz，以符合欧洲ETSI标准的规定；或者，可以输入上频点918MHz，下频点928MHz，这样无线通讯模块可以自动将通讯频段定义为918MHz～928MHz，以符合美国FCC标准的规定；或者，无线通讯模块的通讯频段也可以定义为符合日本ARIB标准或加拿大IC标准的规定，本发明实施例不作限定。
本发明实施例中，车载终端可以采用频分复用(Frequency Division Multiple Access，FDMA)、跳频(Frequency-Hopping Spread Spectrum，FHSS)、动态时分复用(Dynamic Time Division Multiple Access，DTDMA)、退避复用(CSMA)相结合的方法来解决干扰问题，本发明实施例不作限定。
作为一种可选的实施方式，车载终端在车辆停车时采集停车位置的方式可以为：
车载终端在车辆停车时可以获取车载终端配置的至少两个不同的定位接口；举例来说，至少两个不同的定位接口可以包括百度的nlpservice定位接口、高德的nlpservice定位接口、谷歌的nlpservice定位接口等，本发明实施例不作限定；以及，车载终端可以将定位请求发送至上述至少两个不同的定位接口，以触发每个定位接口分别将接收到的定位请求发送给各自对应的定位服务器；以及，获取至少一个定位接口对应的定位服务器发送的位置信息，并获取从第一时刻到第二时刻的响应时间，第一时刻为每个定位接口发送定位请求的时刻，第二时刻为每个定位接口接收到位置信息的时刻；以及，将与每个定位接口对应的响应时间与响应阈值进行比较，并从响应时间未超过响应阈值的定位接口所接收的位置信息中提取定位精度最高的位置信息作为停车位置。
本发明实施例中，实施上述实施方式可以精确的获取停车位置，提高定位精确度。
作为一种可选的实施方式，图1所描述的方法在执行步骤101之前，还可以先执行以下步骤，即：
车载终端可以识别驾驶该车辆的驾驶员的情绪是否稳定，如果不稳定，车载终端可以提示驾驶员停车，从而可以避免因驾驶员的情绪不稳定而容易发生驾驶事故。
举例来说，车载终端识别驾驶该车辆的驾驶员的情绪是否稳定的方式可 以为：
车载终端采集驾驶该车辆的驾驶员的心电图数据，例如，车载终端可以与驾驶该车辆的驾驶员穿戴的可穿戴设备(如手环)建立通信连接，车载终端可以通过驾驶该车辆的驾驶员穿戴的可穿戴设备来采集驾驶该车辆的驾驶员的心电图数据；
以及，车载终端可以对心电图数据进行去噪处理，并采用心电图R波提取算法提取经过去噪处理的心电图数据中的R波峰值，以及计算经过去噪处理的心电图数据中相邻R波之间RR间距；以及，计算RR间距的频域指标、时域指标及非线性指标；其中，频域指标包括副交感神经活性指标，时域指标包括短程心率变动性指标；短程心率变动性指标通过获取RR间距差值平方和的均方根来计算；副交感神经活性指标通过快速傅里叶变换来计算；非线性指标通过分形维数计算方法来计算；
以及，车载终端可以根据频域指标、时域指标及非线性指标，分析该驾驶员的情绪的活力值；其中，活力值为根据时域指标、频域指标及非线性指标建立的多元线性回归方程计算得到的值；以及，根据活力值识别该驾驶员的情绪是否不稳定，如果不稳定，提示驾驶员停车。
本发明实施例中，实施上述实施方式可以精确的识别出驾驶员的情绪是否稳定。
102、集中收费平台识别停车位置是否位于预设的多个停车场中的某一目标停车场内，如果是，确定出目标停车场对应的计费规则，通知车载终端开始统计停车时长。
作为一种可选的实施方式，在图1所描述的方法中，集中收费平台在识别停车位置是否位于预设的多个停车场中的某一目标停车场内之前，集中收费平台可以确定停车位置是否被允许停车，如果不被允许停车，向车载终端发送用于指示停车位置不被允许停车的提示信息；如果被允许停车，才执行步骤102。
本发明实施例中，目标停车场对应的计费规则可以是每单位时间(如1小时)5元、10元、15元等，本发明实施例不作限定。
103、车载终端在车辆离开停车位置时，将统计的停车时长上报给集中收费平台。
本发明实施例中，车载终端在车辆离开停车位置时，可以将统计的停车时长进行加密，然后再上报给集中收费平台。
104、集中收费平台根据停车时长和计费规则生成付费账单并发送给车载终端，以及根据付费账单从车载终端对应的电子账号中扣除相应的停车费用。
可见，实施图1所描述的方法，可以对分布设置的多个停车场的收费进行集中式管理，省去了每一个停车场布局一套收费系统，从而可以降低停车场的建设成本，提高收费管理效率。
实施例二
请参阅图2，图2是本发明实施例公开的另一种多停车场场景下的收费管理方法的流程示意图。如图2所示，该多停车场场景下的收费管理方法可以包括以下步骤：
201、车载终端在车辆停车时主动采集停车位置。
作为一种可选的实施方式，车载终端在车辆停车时主动采集停车位置方式可以为：
车载终端在车辆停车时可以获取车载终端配置的至少两个不同的定位接口；以及，车载终端可以将定位请求发送至上述至少两个不同的定位接口，以触发每个定位接口分别将接收到的定位请求发送给各自对应的定位服务器；以及，获取至少一个定位接口对应的定位服务器发送的位置信息，并获取从第一时刻到第二时刻的响应时间，第一时刻为每个定位接口发送定位请求的时刻，第二时刻为每个定位接口接收到位置信息的时刻；以及，将与每个定位接口对应的响应时间与响应阈值进行比较，并从响应时间未超过响应阈值的定位接口所接收的位置信息中提取定位精度最高的位置信息作为停车位置。
本发明实施例中，实施上述实施方式可以精确的获取停车位置，提高定位精确度。
作为一种可选的实施方式，图2所描述的方法在执行步骤201之前，还可以先执行以下步骤，即：
车载终端可以识别驾驶该车辆的驾驶员的情绪是否稳定，如果不稳定，车载终端可以提示驾驶员停车，从而可以避免因驾驶员的情绪不稳定而容易发生驾驶事故。
举例来说，车载终端识别驾驶该车辆的驾驶员的情绪是否稳定的方式可以为：
车载终端采集驾驶该车辆的驾驶员的心电图数据，例如，车载终端可以与驾驶该车辆的驾驶员穿戴的可穿戴设备(如手环)建立通信连接，车载终端可以通过驾驶该车辆的驾驶员穿戴的可穿戴设备来采集驾驶该车辆的驾驶员的心电图数据；举例来说，车载终端可以检测车载终端所在车辆的行驶时长是否超过预设时长，如果超过预设时长，车载终端可以检测车载终端是否与车载终端所在车辆的驾驶员穿戴的可穿戴设备(如手环)建立通讯连接， 如果是，车载终端可以通知驾驶员穿戴的可穿戴设备向车载终端发送驾驶员的心电图数据；
以及，车载终端可以对心电图数据进行去噪处理，并采用心电图R波提取算法提取经过去噪处理的心电图数据中的R波峰值，以及计算经过去噪处理的心电图数据中相邻R波之间RR间距；以及，计算RR间距的频域指标、时域指标及非线性指标；其中，频域指标包括副交感神经活性指标，时域指标包括短程心率变动性指标；短程心率变动性指标通过获取RR间距差值平方和的均方根来计算；副交感神经活性指标通过快速傅里叶变换来计算；非线性指标通过分形维数计算方法来计算；
以及，车载终端可以根据频域指标、时域指标及非线性指标，分析该驾驶员的情绪的活力值；其中，活力值为根据时域指标、频域指标及非线性指标建立的多元线性回归方程计算得到的值；以及，根据活力值识别该驾驶员的情绪是否不稳定，如果不稳定，提示驾驶员停车。
本发明实施例中，实施上述实施方式可以精确的识别出驾驶员的情绪是否稳定。
202、车载终端扫描周围环境中是否预先设置有路由节点，如果预先设置有所述路由节点，检测路由节点是否被配置有开放接入时段，如果路由节点被配置有开放接入时段，识别车载终端的当前系统时间是否位于路由节点被配置的开放接入时段内；如果车载终端的当前系统时间位于路由节点被配置的开放接入时段内，检测路由节点的当前接入的终端数量是否超过路由节点指定的最大终端接入数量；如果路由节点的当前接入的终端数量未超过路由节点指定的最大终端接入数量，车载终端建立与路由节点之间的无线连接，并且将停车位置发送给路由节点，由路由节点将停车位置发送给集中收费平台。
作为一种可选的实施方式，路由节点将停车位置发送给集中收费平台之后，图2所描述的方法还可以执行以下步骤:
路由节点判断路由节点的当前工作负荷是否超过路由节点指定的工作负荷；如果路由节点的当前工作负荷未超过路由节点指定的工作负荷，路由节点通过天气信息查询端口向天气信息查询端口对应的天气服务平台发起包括停车位置的天气信息查询请求；以及，路由节点接收天气服务平台通过天气信息查询端口返回的停车位置对应的预设时长的天气信息；路由节点将停车位置对应的预设时长的天气信息下发给车载终端。
或者，如果路由节点判断出路由节点的当前工作负荷超过路由节点指定的工作负荷，路由节点可以确定其周围是否存在相邻节点，其中，相邻节点 的当前工作负荷未超过相邻节点指定的工作负荷；如果存在相邻节点，路由节点向相邻节点发起包括停车位置的天气信息查询请求，以使相邻节点向天气信息查询端口对应的天气服务平台发起天气信息查询请求，并由天气服务平台通过天气信息查询端口向相邻节点返回停车位置对应的预设时长的天气信息；以及，路由节点接收相邻节点发送的停车位置对应的预设时长的天气信息并下发给车载终端。
本发明实施例中，实施上述实施方式可以让驾驶员及时获悉停车位置对应的预设时长(如1日)的天气信息，从而可以针对天气信息做好相应的车辆防护准备。
203、集中收费平台识别停车位置是否位于预设的多个停车场中的某一目标停车场内，如果是，确定出目标停车场对应的计费规则，通知车载终端开始统计停车时长。
作为一种可选的实施方式，在图2所描述的方法中，集中收费平台在识别停车位置是否位于预设的多个停车场中的某一目标停车场内之前，集中收费平台可以确定停车位置是否被允许停车，如果不被允许停车，向车载终端发送用于指示停车位置不被允许停车的提示信息；如果被允许停车，才执行步骤203。
204、车载终端在车辆离开停车位置时，将统计的停车时长上报给集中收费平台。
本发明实施例中，车载终端在车辆离开停车位置时，可以将统计的停车时长进行加密，然后再上报给集中收费平台。
205、集中收费平台根据停车时长和计费规则生成付费账单并发送给车载终端，以及根据付费账单从车载终端对应的电子账号中扣除相应的停车费用。
请一并参阅图3，图3是本发明实施例公开的一种车载终端显示的付费账单的界面示意图。如图3所示，该付费账单可以包括停车位置、停车时长、停车费用以及计费规则等信息。
可见，实施图2所描述的方法，可以对分布设置的多个停车场的收费进行集中式管理，省去了每一个停车场布局一套收费系统，从而可以降低停车场的建设成本，提高收费管理效率。
实施例三
请参阅图4，图4是本发明实施例公开的一种多停车场场景下的收费管理系统的结构示意图。如图4所示，该系统可以包括：
车载终端401、集中收费平台402，其中：
车载终端401，用于在车辆停车时采集停车位置并将停车位置上报给集 中收费平台402；
集中收费平台402，用于识别停车位置是否位于预设的多个停车场中的某一目标停车场内，如果是，确定出目标停车场对应的计费规则，通知车载终端401开始统计停车时长；
车载终端401，还用于在车辆离开停车位置时，将统计的停车时长上报给集中收费平台402；
集中收费平台402，还用于根据停车时长和计费规则生成付费账单并发送给车载终端401，以及根据付费账单从车载终端401对应的电子账号中扣除相应的停车费用。
作为一种可选的实施方式，在图4所示的多停车场场景下的收费管理系统中：
集中收费平台402，还用于在识别停车位置是否位于预设的多个停车场中的某一目标停车场内之前，确定停车位置是否被允许停车，如果不被允许停车，向车载终端401发送用于指示停车位置不被允许停车的提示信息；如果被允许停车，执行上述的识别停车位置是否位于预设的多个停车场中的某一目标停车场内。
作为一种可选的实施方式，在图4所示的多停车场场景下的收费管理系统中：
车载终端401在车辆停车时采集停车位置并将停车位置上报给集中收费平台402的方式具体为：
车载终端401，用于在车辆停车时主动采集停车位置；扫描周围环境中是否预先设置有路由节点，如果预先设置有所述路由节点，检测路由节点是否被配置有开放接入时段，如果路由节点被配置有所述开放接入时段，识别车载终端的当前系统时间是否位于路由节点被配置的所述开放接入时段内；如果车载终端的当前系统时间位于所述路由节点被配置的开放接入时段内，检测路由节点的当前接入的终端数量是否超过路由节点指定的最大终端接入数量；如果路由节点的当前接入的终端数量未超过路由节点指定的最大终端接入数量，建立与路由节点之间的无线连接，并且将停车位置发送给路由节点，由路由节点将所述停车位置发送给集中收费平台。
作为一种可选的实施方式，在图4所示的多停车场场景下的收费管理系统中：
路由节点，还用于在将停车位置发送给集中收费平台之后，判断路由节点的当前工作负荷是否超过路由节点指定的工作负荷；如果路由节点的当前工作负荷未超过路由节点指定的工作负荷，通过天气信息查询端口向天气信 息查询端口对应的天气服务平台发起包括停车位置的天气信息查询请求；以及，接收天气服务平台通过天气信息查询端口返回的停车位置对应的预设时长的天气信息；将停车位置对应的预设时长的天气信息下发给车载终端；
或者，如果路由节点的当前工作负荷超过路由节点指定的工作负荷，确定路由节点的周围是否存在相邻节点，相邻节点的当前工作负荷未超过相邻节点指定的工作负荷；如果存在相邻节点，向相邻节点发起包括停车位置的天气信息查询请求，以使相邻节点向天气信息查询端口对应的天气服务平台发起天气信息查询请求，并由天气服务平台通过天气信息查询端口向相邻节点返回停车位置对应的预设时长的天气信息；以及，接收相邻节点发送的停车位置对应的预设时长的天气信息并下发给车载终端。
作为一种可选的实施方式，在图4所示的多停车场场景下的收费管理系统中：车载终端，还用于采集驾驶车辆的驾驶员的心电图数据，并对所述心电图数据进行去噪处理；采用心电图R波提取算法提取经过去噪处理的心电图数据中的R波峰值，以及计算所述经过去噪处理的心电图数据中相邻R波之间RR间距；计算所述RR间距的频域指标、时域指标及非线性指标；其中，所述频域指标包括副交感神经活性指标，所述时域指标包括短程心率变动性指标；所述短程心率变动性指标通过获取所述RR间距差值平方和的均方根来计算；所述副交感神经活性指标通过快速傅里叶变换来计算；所述非线性指标通过分形维数计算方法来计算；根据所述频域指标、时域指标及非线性指标，分析所述驾驶员的情绪的活力值；所述活力值为根据所述时域指标、频域指标及非线性指标建立的多元线性回归方程计算得到的值；根据所述活力值识别所述驾驶员的情绪是否不稳定，如果不稳定，提示所述驾驶员停车。
可见，实施图4所描述的系统，可以对分布设置的多个停车场的收费进行集中式管理，省去了每一个停车场布局一套收费系统，从而可以降低停车场的建设成本，提高收费管理效率。
可见，实施图4所描述的系统，可以让驾驶员及时获悉停车位置对应的预设时长(如1日)的天气信息，从而可以针对天气信息做好相应的车辆防护准备。
可见，实施图4所描述的系统，可以精确的识别出驾驶员的情绪是否稳定，可以避免因驾驶员的情绪不稳定而容易发生驾驶事故。
本领域普通技术人员可以理解上述实施例的各种方法中的全部或部分步骤是可以通过程序来指令相关的硬件来完成，该程序可以存储于一计算机可读存储介质中，存储介质包括只读存储器(Read-Only Memory，ROM)、随 机存储器(Random Access Memory，RAM)、可编程只读存储器(Programmable Read-only Memory，PROM)、可擦除可编程只读存储器(Erasable Programmable Read Only Memory，EPROM)、一次可编程只读存储器(One-time Programmable Read-Only Memory，OTPROM)、电子抹除式可复写只读存储器(Electrically-Erasable Programmable Read-Only Memory，EEPROM)、只读光盘(Compact Disc Read-Only Memory，CD-ROM)或其他光盘存储器、磁盘存储器、磁带存储器、或者能够用于携带或存储数据的计算机可读的任何其他介质。
以上对本发明实施例公开的一种多停车场场景下的收费管理方法及系统进行了详细介绍，本文中应用了具体个例对本发明的原理及实施方式进行了阐述，以上实施例的说明只是用于帮助理解本发明的方法及其核心思想；同时，对于本领域的一般技术人员，依据本发明的思想，在具体实施方式及应用范围上均会有改变之处，综上所述，本说明书内容不应理解为对本发明的限制。

Claims (10)

  1. 一种多停车场场景下的收费管理方法，其特征在于，包括：
    车载终端在车辆停车时采集停车位置并将所述停车位置上报给集中收费平台；
    所述集中收费平台识别所述停车位置是否位于预设的多个停车场中的某一目标停车场内，如果是，确定出所述目标停车场对应的计费规则，通知所述车载终端开始统计停车时长；
    所述车载终端在所述车辆离开所述停车位置时，将统计的停车时长上报给所述集中收费平台；
    所述集中收费平台根据所述停车时长和所述计费规则生成付费账单并发送给所述车载终端，以及根据所述付费账单从所述车载终端对应的电子账号中扣除相应的停车费用。
  2. 根据权利要求1所述的多停车场场景下的收费管理方法，其特征在于，所述集中收费平台识别所述停车位置是否位于预设的多个停车场中的某一目标停车场内之前，所述方法还包括：
    所述集中收费平台确定所述停车位置是否被允许停车，如果不被允许停车，向所述车载终端发送用于指示所述停车位置不被允许停车的提示信息；如果被允许停车，执行所述的识别所述停车位置是否位于预设的多个停车场中的某一目标停车场内。
  3. 根据权利要求1或2所述的多停车场场景下的收费管理方法，其特征在于，所述车载终端在车辆停车时采集停车位置并将所述停车位置上报给集中收费平台，包括：
    车载终端在车辆停车时主动采集停车位置；
    所述车载终端扫描周围环境中是否预先设置有路由节点，如果预先设置有所述路由节点，检测所述路由节点是否被配置有开放接入时段，如果所述路由节点被配置有所述开放接入时段，识别所述车载终端的当前系统时间是否位于所述路由节点被配置的所述开放接入时段内；
    如果所述车载终端的当前系统时间位于所述路由节点被配置的所述开放接入时段内，检测所述路由节点的当前接入的终端数量是否超过所述路由节点指定的最大终端接入数量；
    如果所述路由节点的当前接入的终端数量未超过所述路由节点指定的最大终端接入数量，所述车载终端建立与所述路由节点之间的无线连接，并且将所述停车位置发送给所述路由节点，由所述路由节点将所述停车位置发送给集中收费平台。
  4. 根据权利要求3所述的多停车场场景下的收费管理方法，其特征在于， 所述路由节点将所述停车位置发送给集中收费平台之后，所述方法还包括:
    所述路由节点判断所述路由节点的当前工作负荷是否超过所述路由节点指定的工作负荷；如果所述路由节点的当前工作负荷未超过所述路由节点指定的工作负荷，所述路由节点通过天气信息查询端口向所述天气信息查询端口对应的天气服务平台发起包括所述停车位置的天气信息查询请求；以及，所述路由节点接收所述天气服务平台通过所述天气信息查询端口返回的所述停车位置对应的预设时长的天气信息；所述路由节点将所述停车位置对应的预设时长的天气信息下发给所述车载终端；
    如果所述路由节点判断出所述路由节点的当前工作负荷超过所述路由节点指定的工作负荷，所述路由节点确定其周围是否存在相邻节点，所述相邻节点的当前工作负荷未超过所述相邻节点指定的工作负荷；如果存在所述相邻节点，所述路由节点向所述相邻节点发起包括所述停车位置的天气信息查询请求，以使所述相邻节点向所述天气信息查询端口对应的天气服务平台发起所述天气信息查询请求，并由所述天气服务平台通过所述天气信息查询端口向所述相邻节点返回所述停车位置对应的预设时长的天气信息；以及，所述路由节点接收所述相邻节点发送的所述停车位置对应的预设时长的天气信息并下发给所述车载终端。
  5. 根据权利要求1～4任一项所述的多停车场场景下的收费管理方法，其特征在于，所述方法还包括：
    车载终端采集驾驶所述车辆的驾驶员的心电图数据，并对所述心电图数据进行去噪处理；采用心电图R波提取算法提取经过去噪处理的心电图数据中的R波峰值，以及计算所述经过去噪处理的心电图数据中相邻R波之间RR间距；计算所述RR间距的频域指标、时域指标及非线性指标；其中，所述频域指标包括副交感神经活性指标，所述时域指标包括短程心率变动性指标；所述短程心率变动性指标通过获取所述RR间距差值平方和的均方根来计算；所述副交感神经活性指标通过快速傅里叶变换来计算；所述非线性指标通过分形维数计算方法来计算；根据所述频域指标、时域指标及非线性指标，分析所述驾驶员的情绪的活力值；所述活力值为根据所述时域指标、频域指标及非线性指标建立的多元线性回归方程计算得到的值；根据所述活力值识别所述驾驶员的情绪是否不稳定，如果不稳定，提示所述驾驶员停车。
  6. 一种多停车场场景下的收费管理系统，其特征在于，包括车载终端、集中收费平台，其中：
    车载终端，用于在车辆停车时采集停车位置并将所述停车位置上报给所述集中收费平台；
    所述集中收费平台，用于识别所述停车位置是否位于预设的多个停车场中的某一目标停车场内，如果是，确定出所述目标停车场对应的计费规则，通知所述车载终端开始统计停车时长；
    所述车载终端，还用于在所述车辆离开所述停车位置时，将统计的停车时长上报给所述集中收费平台；
    所述集中收费平台，还用于根据所述停车时长和所述计费规则生成付费账单并发送给所述车载终端，以及根据所述付费账单从所述车载终端对应的电子账号中扣除相应的停车费用。
  7. 根据权利要求6所述的多停车场场景下的收费管理系统，其特征在于：
    所述集中收费平台，还用于在识别所述停车位置是否位于预设的多个停车场中的某一目标停车场内之前，确定所述停车位置是否被允许停车，如果不被允许停车，向所述车载终端发送用于指示所述停车位置不被允许停车的提示信息；如果被允许停车，执行所述的识别所述停车位置是否位于预设的多个停车场中的某一目标停车场内。
  8. 根据权利要求6或7所述的多停车场场景下的收费管理系统，其特征在于，所述车载终端在车辆停车时采集停车位置并将所述停车位置上报给集中收费平台的方式具体为：
    车载终端，用于在车辆停车时主动采集停车位置；扫描周围环境中是否预先设置有路由节点，如果预先设置有所述路由节点，检测所述路由节点是否被配置有开放接入时段，如果所述路由节点被配置有所述开放接入时段，识别所述车载终端的当前系统时间是否位于所述路由节点被配置的所述开放接入时段内；如果所述车载终端的当前系统时间位于所述路由节点被配置的所述开放接入时段内，检测所述路由节点的当前接入的终端数量是否超过所述路由节点指定的最大终端接入数量；如果所述路由节点的当前接入的终端数量未超过所述路由节点指定的最大终端接入数量，建立与所述路由节点之间的无线连接，并且将所述停车位置发送给所述路由节点，由所述路由节点将所述停车位置发送给集中收费平台。
  9. 根据权利要求8所述的多停车场场景下的收费管理系统，其特征在于：
    所述路由节点，还用于在将所述停车位置发送给集中收费平台之后，判断所述路由节点的当前工作负荷是否超过所述路由节点指定的工作负荷；如果所述路由节点的当前工作负荷未超过所述路由节点指定的工作负荷，通过天气信息查询端口向所述天气信息查询端口对应的天气服务平台发起包括所述停车位置的天气信息查询请求；以及，接收所述天气服务平台通过所述天气信息查询端口返回的所述停车位置对应的预设时长的天气信息；将所述停 车位置对应的预设时长的天气信息下发给所述车载终端；
    或者，如果所述路由节点的当前工作负荷超过所述路由节点指定的工作负荷，确定所述路由节点的周围是否存在相邻节点，所述相邻节点的当前工作负荷未超过所述相邻节点指定的工作负荷；如果存在所述相邻节点，向所述相邻节点发起包括所述停车位置的天气信息查询请求，以使所述相邻节点向所述天气信息查询端口对应的天气服务平台发起所述天气信息查询请求，并由所述天气服务平台通过所述天气信息查询端口向所述相邻节点返回所述停车位置对应的预设时长的天气信息；以及，接收所述相邻节点发送的所述停车位置对应的预设时长的天气信息并下发给所述车载终端。
  10. 根据权利要求6～9任一项所述的多停车场场景下的收费管理系统，其特征在于：
    所述车载终端，还用于采集驾驶所述车辆的驾驶员的心电图数据，并对所述心电图数据进行去噪处理；采用心电图R波提取算法提取经过去噪处理的心电图数据中的R波峰值，以及计算所述经过去噪处理的心电图数据中相邻R波之间RR间距；计算所述RR间距的频域指标、时域指标及非线性指标；其中，所述频域指标包括副交感神经活性指标，所述时域指标包括短程心率变动性指标；所述短程心率变动性指标通过获取所述RR间距差值平方和的均方根来计算；所述副交感神经活性指标通过快速傅里叶变换来计算；所述非线性指标通过分形维数计算方法来计算；根据所述频域指标、时域指标及非线性指标，分析所述驾驶员的情绪的活力值；所述活力值为根据所述时域指标、频域指标及非线性指标建立的多元线性回归方程计算得到的值；根据所述活力值识别所述驾驶员的情绪是否不稳定，如果不稳定，提示所述驾驶员停车。
PCT/CN2017/099301 2017-06-19 2017-08-28 一种多停车场场景下的收费管理方法及系统 Ceased WO2018233000A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201710463145.9A CN107464297A (zh) 2017-06-19 2017-06-19 一种多停车场场景下的收费管理方法及系统
CN201710463145.9 2017-06-19

Publications (1)

Publication Number Publication Date
WO2018233000A1 true WO2018233000A1 (zh) 2018-12-27

Family

ID=60546090

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2017/099301 Ceased WO2018233000A1 (zh) 2017-06-19 2017-08-28 一种多停车场场景下的收费管理方法及系统

Country Status (2)

Country Link
CN (1) CN107464297A (zh)
WO (1) WO2018233000A1 (zh)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115713859A (zh) * 2022-11-15 2023-02-24 深圳信路通智能技术有限公司 一种基于双网热备的停车场收费管理方法及存储介质
CN119741766A (zh) * 2025-03-04 2025-04-01 陕西华贝金服网络科技有限公司 面向智慧停车场的分区域计时收费方法及系统

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109741046A (zh) * 2018-12-28 2019-05-10 西安艾润物联网技术服务有限责任公司 一种停车场缴费方法及装置
CN112419516B (zh) * 2020-10-26 2022-07-26 腾讯科技（深圳）有限公司 一种信息处理方法、系统、装置及存储介质
CN112634476B (zh) * 2020-11-03 2022-10-18 支付宝(杭州)信息技术有限公司 停车数据管理方法、服务器、装置、设备及系统
CN112541977A (zh) * 2020-11-06 2021-03-23 夏牧谣 一种基于车联网的主动式智慧停车收费系统

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104240403A (zh) * 2013-06-09 2014-12-24 观致汽车有限公司 一种云端停车服务方法及装置
CN105513369A (zh) * 2015-11-26 2016-04-20 停哪儿成都信息科技有限公司 无人收费云停车场管理系统及其实现方法
US20160140774A1 (en) * 2014-11-17 2016-05-19 Mastercard International Incorporated Method and system for wireless payment for parking
CN106652055A (zh) * 2016-09-14 2017-05-10 汤怡天 基于云系统的自动停车收费方法和系统
CN106781672A (zh) * 2017-01-09 2017-05-31 深圳大学 一种基于ZigBee的智能停车场管理系统
CN107205037A (zh) * 2017-06-19 2017-09-26 深圳市盛路物联通讯技术有限公司 一种基于汇聚平台的停车管理方法及系统
CN107424229A (zh) * 2017-06-19 2017-12-01 深圳市盛路物联通讯技术有限公司 一种停车管理方法及系统

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101372120B1 (ko) * 2011-06-23 2014-03-07 현대자동차주식회사 차량 운전자의 생체정보 획득 장치 및 그 방법
CN102855671A (zh) * 2012-09-29 2013-01-02 深圳市泊慧停车管理科技有限公司 无阻碍停车收费系统及其方法
CN104867189A (zh) * 2015-04-29 2015-08-26 奇瑞汽车股份有限公司 一种停车场收费的方法和装置
CN106686537B (zh) * 2017-02-27 2020-07-03 广东小天才科技有限公司 一种基于nfc的信息交换方法及系统

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104240403A (zh) * 2013-06-09 2014-12-24 观致汽车有限公司 一种云端停车服务方法及装置
US20160140774A1 (en) * 2014-11-17 2016-05-19 Mastercard International Incorporated Method and system for wireless payment for parking
CN105513369A (zh) * 2015-11-26 2016-04-20 停哪儿成都信息科技有限公司 无人收费云停车场管理系统及其实现方法
CN106652055A (zh) * 2016-09-14 2017-05-10 汤怡天 基于云系统的自动停车收费方法和系统
CN106781672A (zh) * 2017-01-09 2017-05-31 深圳大学 一种基于ZigBee的智能停车场管理系统
CN107205037A (zh) * 2017-06-19 2017-09-26 深圳市盛路物联通讯技术有限公司 一种基于汇聚平台的停车管理方法及系统
CN107424229A (zh) * 2017-06-19 2017-12-01 深圳市盛路物联通讯技术有限公司 一种停车管理方法及系统

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115713859A (zh) * 2022-11-15 2023-02-24 深圳信路通智能技术有限公司 一种基于双网热备的停车场收费管理方法及存储介质
CN119741766A (zh) * 2025-03-04 2025-04-01 陕西华贝金服网络科技有限公司 面向智慧停车场的分区域计时收费方法及系统

Also Published As

Publication number Publication date
CN107464297A (zh) 2017-12-12

Similar Documents

Publication Publication Date Title
WO2018233003A1 (zh) 一种智慧城市的停车管理方法及系统
WO2018233074A1 (zh) 一种停车导航路径的推荐系统及方法
WO2018232991A1 (zh) 一种基于自选车位的停车收费管控方法及系统
WO2018233064A1 (zh) 一种基于驾驶员报价的停车引导方法及系统
CN107464297A (zh) 一种多停车场场景下的收费管理方法及系统
WO2018233084A1 (zh) 基于驾驶员报价与自选出租车位的停车引导方法及系统
WO2018233002A1 (zh) 一种停车管理及收费一体化方法及系统
WO2018232994A1 (zh) 一种停车收费方法及系统
WO2018233033A1 (zh) 一种户外停车的集中式管理方法及系统
WO2018233004A1 (zh) 一种停车管理方法及系统
WO2018232993A1 (zh) 一种智能化的停车收费方法及系统
WO2018233081A1 (zh) 一种基于车场的停车诱导系统及方法
WO2018233086A1 (zh) 一种基于数据分析的停车引导系统及方法
WO2018232992A1 (zh) 一种无人管理式的停车收费系统及方法
CN108597249B (zh) 一种基于大数据平台的私家车位共享方法
WO2018232995A1 (zh) 一种基于汇聚平台的停车管理方法及系统
WO2018233047A1 (zh) 一种由停车引起的数据处理方法及系统
WO2018232981A1 (zh) 一种临时路边停车引起的信息公告方法及系统
WO2018233072A1 (zh) 一种结合天气信息的车辆停车引导系统及方法
WO2018232980A1 (zh) 一种用户停车触发的物联网信息交互方法及系统
WO2018233065A1 (zh) 一种停车位指引方法及系统
WO2018233085A1 (zh) 一种基于移动网络的车位预订方法及系统
WO2018232988A1 (zh) 一种基于物联网接入点的信息发布方法及系统
WO2018233060A1 (zh) 一种报价与抢答相结合的停车引导方法及系统
WO2018233077A1 (zh) 一种应用于智慧城市的停车位预约方法及系统

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17915201

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205 DATED 25/05/2020)

122 Ep: pct application non-entry in european phase

Ref document number: 17915201

Country of ref document: EP

Kind code of ref document: A1