WO2023092593A1 - 车轴统计系统、方法及计算机可读存储介质 - Google Patents

车轴统计系统、方法及计算机可读存储介质 Download PDF

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Publication number
WO2023092593A1
WO2023092593A1 PCT/CN2021/134118 CN2021134118W WO2023092593A1 WO 2023092593 A1 WO2023092593 A1 WO 2023092593A1 CN 2021134118 W CN2021134118 W CN 2021134118W WO 2023092593 A1 WO2023092593 A1 WO 2023092593A1
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WIPO (PCT)
Prior art keywords
antenna
vehicle
echo signal
axle
processing system
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PCT/CN2021/134118
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English (en)
French (fr)
Inventor
杨栋文
李建平
蔡步晓
江立红
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华为技术有限公司
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Application filed by 华为技术有限公司 filed Critical 华为技术有限公司
Priority to PCT/CN2021/134118 priority Critical patent/WO2023092593A1/zh
Publication of WO2023092593A1 publication Critical patent/WO2023092593A1/zh

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section

Definitions

  • the present application relates to the field of electromagnetic wave technology, in particular to an axle statistics system, method and computer-readable storage medium.
  • radar equipment such as Doppler radar equipment
  • Doppler radar equipment can be used for axle statistics.
  • the above-mentioned radar equipment can be placed on the side of the lane to emit beams to the vehicles on the lane, and the beam can be irradiated to the wheels of the vehicles driving on the lane, and then the radar equipment can identify the wheels by detecting the frequency change of the electromagnetic echo, thereby detecting the axle Make statistics.
  • This application provides an axle statistics system, method and computer-readable storage medium to solve the problems provided by related technologies.
  • the technical solution is as follows:
  • a system for counting axles includes a processing system and an antenna, the antenna is placed at the target position of the monitored lane, so that the electromagnetic wave beam emitted by the antenna covers any of the lanes on the lane Wheels on at least one side of the vehicle: the processing system is used to send a radio frequency signal to the antenna; the antenna is used to receive the radio frequency signal sent by the processing system, and transmit electromagnetic waves to a target area based on the radio frequency signal; The antenna is also used to receive the electromagnetic echo returned by the electromagnetic wave, and send the echo signal corresponding to the electromagnetic echo to the processing system; the processing system is also used to receive the echo sent by the antenna signals; determining axle statistics based on the echo signals.
  • the technical solution provided by the application places the antenna at the target position of the monitored lane, so that the electromagnetic wave beam emitted by the antenna covers at least one side wheel of any vehicle on the lane, avoiding the vehicle occlusion problem when detecting multiple lanes, and improving the Reliability and accuracy of axle statistics.
  • the processing system is configured to determine vehicle information and wheel information based on the echo signal; and determine an axle statistics result based on the wheel information and the vehicle information.
  • the processing system is further configured to determine vehicle length information based on the echo signal.
  • the present application can also be used to determine the vehicle length information in addition to determining the axle statistics results, so that the vehicle length can be recorded, so that the statistical information is more comprehensive.
  • the processing system is further configured to determine a vehicle model result based on the axle statistics result and the vehicle length information.
  • the present application can also be used to determine vehicle model results in addition to determining axle statistics results, so that vehicle models can be distinguished, thereby making statistical information more comprehensive.
  • the processing system is further configured to determine a traffic flow monitoring result based on the echo signal.
  • the application can also be used to determine the traffic flow monitoring results besides determining the axle statistics results, so that the traffic flow of the lane can be monitored, thereby making the statistical information more comprehensive.
  • the processing system includes a transmitter, a receiver, and a processor: the transmitter is configured to send radio frequency signals to the antenna; the receiver is configured to receive signals sent by the antenna The echo signal is sent to the processor; the processor is configured to receive the echo signal sent by the receiver; and determine the axle statistics result based on the echo signal.
  • the antenna includes a transmitting antenna and a receiving antenna: the transmitting antenna is configured to receive a radio frequency signal sent by the transmitter, and transmit electromagnetic waves to a target area based on the radio frequency signal; The antenna is configured to receive an electromagnetic echo returned by the electromagnetic wave, and send an echo signal corresponding to the electromagnetic echo to the receiver.
  • multiple array elements of the transmitting antenna there are multiple array elements of the transmitting antenna, and multiple array elements of the receiving antenna, and the multiple transmitting antenna array elements and the multiple receiving antenna array elements form multiple receiving and multiple transmitting array.
  • the diameter of the beam of the electromagnetic wave projected on the ground in the direction of vehicle travel is not greater than 50 centimeters.
  • the ground projection diameter of the beam of electromagnetic waves in the direction of vehicle travel is not greater than 50 cm.
  • an axle counting method executed by a processing system in the axle counting system, the method includes: receiving an echo signal sent by the antenna in the axle counting system; determining the axle count based on the echo signal result.
  • determining the axle statistics result based on the echo signal includes: determining vehicle information based on the echo signal; determining wheel information based on the echo signal; Wheel information determines the axle statistics.
  • the method further includes: determining vehicle length information based on the echo signal.
  • the present application can also be used to determine the vehicle length information in addition to determining the axle statistics results, so that the vehicle length can be recorded, so that the statistical information is more comprehensive.
  • the method further includes: determining a traffic flow monitoring result based on the echo signal.
  • the present application can also be used to determine the traffic flow monitoring result in addition to determining the axle statistics results, so as to achieve the effect of monitoring the traffic flow of a certain lane and make the statistical information more comprehensive.
  • the determining the vehicle length information based on the echo signal further includes: determining a vehicle type result based on the axle statistics result and the vehicle length information.
  • the present application can also be used to determine vehicle model results in addition to determining axle statistics results, so that vehicle models can be distinguished, thereby making statistical information more comprehensive.
  • the determining the wheel information based on the echo signal includes: determining a time spectrum based on the echo signal; performing wheel axle detection based on the time spectrum to determine the wheel information.
  • an axle statistics device comprising:
  • a receiving module configured to receive the echo signal sent by the antenna in the axle statistics system
  • a first determining module configured to determine axle statistics results based on the echo signals.
  • the first determining module is configured to determine vehicle information based on the echo signal; determine wheel information based on the echo signal; determine the axle based on the vehicle information and the wheel information statistical results.
  • the device also includes:
  • the second determination module is configured to determine the vehicle length information based on the echo signal.
  • the device also includes:
  • the third determination module is configured to determine the traffic flow monitoring result based on the echo signal.
  • the device also includes:
  • the fourth determination module is configured to determine the vehicle model result based on the axle statistics result and the vehicle length information.
  • the first determining module is configured to determine a time-frequency spectrum based on the echo signal; perform wheel axle detection based on the time-frequency spectrum to determine the wheel information.
  • an axle statistics device in a fourth aspect, includes a memory and a processor; at least one instruction is stored in the memory, and the at least one instruction is loaded and executed by the processor, so that the axle
  • the statistical device implements the axle statistics method described in the second aspect above.
  • a computer-readable storage medium wherein at least one computer program is stored in the computer-readable storage medium, and the at least one computer program is loaded and executed by a processor, so that the computer implements the above-mentioned second aspect The axle statistics method described.
  • another communication device includes: a transceiver, a memory, and a processor.
  • the transceiver, the memory and the processor communicate with each other through an internal connection path, the memory is used to store instructions, and the processor is used to execute the instructions stored in the memory to control the transceiver to receive signals and control the transceiver to send signals , and when the processor executes the instruction stored in the memory, the processor is made to execute the method in any possible implementation manner of the second aspect.
  • processors there are one or more processors, and one or more memories.
  • the memory may be integrated with the processor, or the memory may be set separately from the processor.
  • the memory can be a non-transitory (non-transitory) memory, such as a read-only memory (read only memory, ROM), which can be integrated with the processor on the same chip, or can be set in different On the chip, the application does not limit the type of the memory and the arrangement of the memory and the processor.
  • a non-transitory memory such as a read-only memory (read only memory, ROM)
  • ROM read only memory
  • a seventh aspect provides a computer program (product), the computer program (product) comprising: computer program code, when the computer program code is run by a computer, the computer is made to execute the above-mentioned second aspect.
  • Axle statistics method when the computer program code is run by a computer, the computer is made to execute the above-mentioned second aspect.
  • a chip including a processor, configured to call and execute instructions stored in the memory from the memory, so that the communication device installed with the chip executes the axle counting method described in the second aspect above .
  • another chip including: an input interface, an output interface, a processor, and a memory, the input interface, the output interface, the processor, and the memory are connected through an internal connection path, and the processing
  • the processor is used to execute the code in the memory, and when the code is executed, the processor is used to execute the method described in the second aspect above.
  • Fig. 1 is the schematic diagram of a kind of axle statistics system provided by the embodiment of the present application.
  • FIG. 2 is a schematic diagram of an antenna placement method provided by an embodiment of the present application.
  • Fig. 3 is a schematic diagram of an electromagnetic wave beam covering at least one side wheel of any vehicle on the lane provided by the embodiment of the present application;
  • FIG. 4 is a schematic diagram of another antenna placement method provided by the embodiment of the present application.
  • FIG. 5 is a schematic diagram of another antenna placement method provided by the embodiment of the present application.
  • FIG. 6 is a schematic diagram of another antenna placement method provided by the embodiment of the present application.
  • Fig. 7 is a schematic diagram of another electromagnetic wave beam covering at least one side wheel of any vehicle on the lane provided by the embodiment of the present application;
  • Fig. 8 is a schematic diagram of another axle statistics system provided by the embodiment of the present application.
  • FIG. 9 is a schematic diagram of a multi-receiving and multi-transmitting array antenna provided by an embodiment of the present application.
  • FIG. 10 is a schematic diagram of an electromagnetic wave beam provided by an embodiment of the present application.
  • FIG. 11 is a three-dimensional schematic diagram of an electromagnetic wave beam provided by an embodiment of the present application.
  • FIG. 12 is a three-dimensional schematic diagram of another electromagnetic wave beam provided by the embodiment of the present application.
  • Fig. 13 is a flow chart of an axle statistics method provided by the embodiment of the present application.
  • Fig. 14 is a schematic diagram of a process of determining vehicle information, wheel information, vehicle speed information and vehicle length information provided by the embodiment of the present application;
  • Fig. 15 is a flow chart of a method for determining vehicle type results and traffic flow monitoring results provided by the embodiment of the present application;
  • Fig. 16 is a schematic structural diagram of an axle counting device provided in an embodiment of the present application.
  • FIG. 17 is a schematic structural diagram of a network device provided by an embodiment of the present application.
  • the axle counting system 10 includes a processing system 11 and an antenna 12, and the antenna 12 is placed at the target position of the monitored lane.
  • the processing system 11 is used to send a radio frequency signal to the antenna 12;
  • the antenna 12 is used to receive the radio frequency signal sent by the processing system 11, based on radio frequency
  • the signal transmits electromagnetic waves to the target area;
  • the antenna 12 is also used to receive the electromagnetic echo returned by the electromagnetic wave, and sends the echo signal corresponding to the electromagnetic echo to the processing system 11;
  • the processing system 11 is also used to receive the echo sent by the antenna 12 signal; determines the axle statistics based on the echo signal.
  • the target position is a target height above at least one of the sidelines on both sides of the monitored lane, and above the sideline may be above the left and right threshold range of the sideline, which is not limited in this embodiment of the present application.
  • the target height may be the height above the top of the vehicle on the monitored lane, and in some embodiments, the target height is the height of the gantry of the detected lane.
  • the placement manner of the antenna 12 includes but not limited to the following two manners.
  • Antennas 12 can be placed at target positions above the sidelines of each monitored lane, so that the electromagnetic wave beam emitted by antenna 12 can cover at least one side of any vehicle on the corresponding lane.
  • the antenna 12 includes an antenna 121 , an antenna 122 , an antenna 123 and an antenna 124 .
  • antenna 121 corresponds to lane 1
  • antenna 122 corresponds to lane 1 and lane 2
  • antenna 123 corresponds to lane 2 and lane 3
  • antenna 124 corresponds to lane 3.
  • Four antennas can correspond to three lanes.
  • the electromagnetic wave beam emitted by antenna 121 can cover the wheels on at least one side of any vehicle on the lane 1, the electromagnetic wave beam emitted by the antenna 122 can cover the wheels on at least one side of any vehicle on the lane 1 and lane 2, and the antenna 123 emits
  • the electromagnetic wave beam of the antenna 124 can cover at least one side wheel of any vehicle on the lane 2 and the lane 3
  • the electromagnetic wave beam emitted by the antenna 124 can cover at least one side wheel of any vehicle on the lane 3.
  • the processing system 11 is connected to the antenna 121 , the antenna 122 , the antenna 123 and the antenna 124 respectively, and the location of the processing system 11 is not limited in this embodiment of the present application.
  • the electromagnetic wave beams emitted by the two antennas cover the wheels on at least one side of any vehicle on one lane.
  • the width of any lane in FIG. 3 is 3.75 meters, and the antenna 128 and the antenna 129 are placed at a height of 6 meters.
  • Figure 3 shows the wheels and axles of two vehicles, wherein the wider vehicle has a width of 2.6 meters, the smaller vehicle has a width of 1.75 meters, and the height of the wheels of the two vehicles is 1 meter.
  • the projected width of the electromagnetic wave beam emitted by the antenna 129 in the direction perpendicular to the traveling direction of the vehicle is not less than 2.4 meters.
  • a vehicle with a width of 2.6 meters can be covered with at least one side of the vehicle by the electromagnetic wave beam emitted by the antenna 129.
  • the electromagnetic wave beam emitted by the antenna 129 can still cover at least one side of the vehicle. wheel.
  • the antenna 128 and the antenna 129 can adopt the same kind of antenna, so the projection width of the antenna 128 can also be no less than 2.4 meters, and the wheels on at least one side of any vehicle on the lane can be covered by the electromagnetic wave beam.
  • the antenna 12 can be placed at the target position above any sideline of each monitored lane so that the electromagnetic wave beam emitted by the antenna 12 can cover at least one side wheel of any vehicle on the corresponding lane.
  • the antenna corresponding to the lane may be hung on the right side of any lane.
  • the antenna 12 includes an antenna 125 , an antenna 126 and an antenna 127 .
  • antenna 125 corresponds to lane 4
  • antenna 126 corresponds to lane 5
  • antenna 127 corresponds to lane 6 .
  • the electromagnetic wave beam emitted by the antenna 125 can cover the wheels on at least one side of any vehicle on the lane 4 and the lane 5, and the electromagnetic wave beam emitted by the antenna 126 can cover the wheels on at least one side of any vehicle on the lane 5 and the lane 6, and the antenna 127
  • the emitted electromagnetic wave beam can cover the wheels on at least one side of any vehicle on the lane 6 .
  • the processing system 11 is connected to the antenna 125 , the antenna 126 and the antenna 127 respectively, and the embodiment of the present application does not limit the location of the processing system 11 .
  • the antenna 12 is placed on the right side of the lane, and the electromagnetic wave beam emitted by the antenna 12 can cover at least one side wheel of any vehicle on the lane, and the processing system 11 is connected with the antenna 12.
  • the embodiment of the application does not limit the location of the processing system 11 .
  • the antenna 12 is placed on the left side of the lane, and the electromagnetic wave beam emitted by the antenna 12 can cover the wheels on at least one side of any vehicle on the lane, and the processing system 11 is connected with the antenna 12.
  • the embodiment of the application does not limit the location of the processing system 11 .
  • an electromagnetic beam emitted by an antenna covers the wheels on at least one side of any vehicle on the lane.
  • the width of the lane in FIG. 7 is 3.75 meters, and the height of the antenna 12 is 6 meters.
  • Figure 7 shows the wheels and axles of two vehicles, which are respectively located at the far left and right of the lane, the width of the vehicles is 1.75 meters, and the height of the wheels is 1 meter.
  • the projection width of the electromagnetic wave beam emitted by the antenna 12 in Fig. 7 on the vertical vehicle traveling direction is not less than 2.4 meters, and the electromagnetic wave beam can cover the wheels on at least one side of any vehicle in the two vehicles in Fig. 7, so the electromagnetic wave beam can be Wheels that cover at least one side of both vehicles in the figure.
  • the processing system 11 is configured to determine vehicle information and wheel information based on the echo signal; and determine axle statistics results based on the wheel information and vehicle information.
  • the methods for determining the vehicle information, determining the wheel information, and determining the statistical results of the axles will not be described in detail here, please refer to the relevant descriptions in the following method embodiments accordingly.
  • the processing system 11 is further configured to determine the vehicle length information based on the echo signal.
  • the method for determining the vehicle captain information will not be described in detail here, please refer to the relevant description in the following method embodiments accordingly.
  • This application can also be used to determine the vehicle length information in addition to determining the axle statistics, so that the vehicle length can be recorded, so that the statistical information is more comprehensive.
  • the processing system 11 is further configured to determine the vehicle model result based on the axle statistics result and the vehicle length information.
  • the method for determining the result of the vehicle model is not described in detail here, please refer to the relevant description in the following method embodiments accordingly.
  • the present application can also be used to determine vehicle model results in addition to determining axle statistics results, so that vehicle models can be distinguished, thereby making statistical information more comprehensive.
  • the processing system 11 is further configured to determine the traffic flow monitoring result based on the echo signal.
  • the method for determining the traffic flow monitoring result will not be described in detail here, please refer to the relevant description in the following method embodiments accordingly.
  • the present application can also be used to determine the traffic flow monitoring result in addition to determining the axle statistics results, so as to achieve the effect of monitoring the traffic flow of a certain lane, so that the statistical information is more comprehensive.
  • the processing system 11 can be, for example, a field-programmable gate array (field-programmable gate array, FPGA), a digital signal processing (digital signal process, DSP) chip, or other smart devices such as general-purpose or special-purpose computing chips,
  • FPGA field-programmable gate array
  • DSP digital signal processing
  • the embodiment of the present application does not limit the specific type of the antenna, and the antenna may be any antenna capable of transmitting and receiving electromagnetic waves.
  • the processing system 11 includes a transmitter 13, a receiver 14 and a processor 15: the transmitter 13 is used to send a radio frequency signal to the antenna 12; the receiver 14 is used to receive the signal sent by the antenna 12 The echo signal is for sending the echo signal to the processor 15; the processor 15 is used for receiving the echo signal sent by the receiver 14; and determining the axle statistics result based on the echo signal.
  • the antenna 12 includes a transmitting antenna 16 and a receiving antenna 17: the transmitting antenna 16 is used to receive the radio frequency signal sent by the transmitter 13, and transmit electromagnetic waves to the target area based on the radio frequency signal; the receiving antenna 17 is used to After receiving the electromagnetic echo returned by the electromagnetic wave, the echo signal corresponding to the electromagnetic echo is sent to the receiver 14 .
  • the embodiment of the present application does not limit the number of array elements of transmitting antenna 16 and receiving antenna 17.
  • the array elements of 16 and the array elements of a receiving antenna 17 form a multi-transmission antenna array in the direction of vehicle travel; or, the array elements of the transmitting antenna 16 are multiple, the array elements of the receiving antenna 17 are multiple, and the multiple transmitting antennas
  • the array elements of 16 and the array elements of a plurality of receiving antennas 17 form a multi-receiving and multiple-emitting array in the direction of vehicle travel; or, the array elements of the transmitting antenna 16 are one, the array elements of the receiving antenna 17 are multiple, and the array elements of one transmitting antenna 16
  • the array element and the array elements of the plurality of receiving antennas 17 form a one-send-multiple-receive antenna array in the direction of vehicle travel.
  • FIG. 9 is a schematic diagram of a multi-receiving and multi-
  • the diameter of the beam of electromagnetic waves projected on the ground in the direction of vehicle travel is not greater than 50 cm.
  • the diameter is not greater than 50 centimeters, it is possible to prevent the beam from covering the front and rear wheels of the same vehicle at the same time in the direction of vehicle travel. Make the beam not cover the front and rear wheels of the truck at the same time in the direction of vehicle travel.
  • a possible beam of electromagnetic waves can be shown in Figure 10.
  • the speed of the vehicle is v, so the speed of the wheel in the direction of the vehicle is also v, and any tangential speed of the wheel Also for v.
  • the tangential velocity v of the vehicle wheel can always be detected by the beam of the electromagnetic wave.
  • the wheel information may be determined by detecting the tangential speed of the wheel.
  • FIG. 11 is a three-dimensional schematic diagram of the corresponding electromagnetic wave beam when the antenna 12 is placed based on the first method above when the ground projection diameter of the electromagnetic wave beam in the direction of vehicle travel is not greater than 50 cm.
  • the coverage of the electromagnetic wave beams emitted by the two antennas on the objects on the lane can be shown in Figure 11.
  • the ground projection diameter of the electromagnetic wave beams in the direction of vehicle travel is not greater than 50 cm, the electromagnetic wave beams in this narrower in the direction; the ground projection of the electromagnetic wave beam in the vertical vehicle driving direction needs to cover the wheels of at least one side of any vehicle on the lane, so the electromagnetic wave beam is wider in this direction. Therefore, the coverage of the electromagnetic wave beam on the object in FIG. 11 is flat.
  • FIG. 12 is a three-dimensional schematic diagram of the corresponding electromagnetic wave beam when the antenna 12 is placed based on the second method above when the ground projection diameter of the electromagnetic wave beam in the direction of vehicle travel is not greater than 50 cm.
  • Figure 12 the coverage of the electromagnetic wave beam emitted by an antenna on the object on the lane can be shown in Figure 12, which is similar to Figure 11, and the coverage of the electromagnetic wave beam on the object in Figure 12 is flat.
  • the ground projection diameter of the beam of electromagnetic waves in the direction of vehicle travel is not greater than 50 cm.
  • the axle statistics method provided by this application can be realized, which reduces the technical requirements for the antenna that emits the electromagnetic wave, thereby reducing the cost.
  • the antenna 12 is placed at the target position of the monitored lane, so that the electromagnetic wave beam emitted by the antenna covers at least one side wheel of any vehicle on the lane, so as to avoid vehicle occlusion when multiple lanes are detected. Improve the reliability and accuracy of axle statistics results.
  • an embodiment of the present application provides a method for counting axles, which is executed by a processing system in the axle counting system.
  • the axle counting method provided in the embodiment of the present application can be applied to the axle counting system 10 shown in FIG. 1 , and the axle counting method is executed by the processing system 11 in the axle counting system 10 .
  • the processing system includes a transmitter, a receiver, and a processor
  • the method is executed by a processor in the processing system.
  • the processing system is used as an example, and the method includes:
  • Step 1301 the processing system receives the echo signal sent by the antenna in the axle statistics system.
  • the antenna receives the radio frequency signal sent by the processing system, and transmits electromagnetic waves to the target area based on the radio frequency signal. After the electromagnetic wave is transmitted to the target area, an electromagnetic echo can be formed.
  • the antenna can receive the electromagnetic echo and can generate the electromagnetic echo.
  • the waves are converted into corresponding echo signals, which may be in the form of radio frequency signals, which are then sent to a processing system, which can receive the echo signals.
  • the embodiment of the present application does not limit the method for the processing system to receive the echo signal.
  • the echo signal is an electrical signal, and the processing system may receive the echo signal through an electric wire.
  • the embodiment of the present application does not limit the type of the electric wire.
  • Step 1302 the processing system determines axle statistics based on the echo signals.
  • determining the axle statistics result based on the echo signal includes: determining the vehicle information based on the echo signal; determining the wheel information based on the echo signal; and determining the axle statistics result based on the vehicle information and the wheel information.
  • the embodiment of the present application does not limit the method of determining vehicle information based on the echo signal.
  • the zero-frequency echo can be extracted from the echo signal to obtain the zero-frequency point echo difference map, and then the vehicle can be determined through the zero-frequency point echo difference map. information.
  • the operation of marking the target may be performed on the zero-frequency point echo difference map, and the result of marking the target is used as the vehicle information.
  • electromagnetic echoes are obtained after the electromagnetic waves irradiate the vehicle, and the antenna receives the electromagnetic echoes and sends the electromagnetic echoes to the processing system.
  • the processing system can obtain a zero-frequency point echo differential map with time as the horizontal axis and differential intensity as the vertical axis based on the electromagnetic echo, and perform an operation of marking targets on the zero-frequency point echo differential map.
  • a zero-frequency point echo differential map with time as the horizontal axis and differential intensity as the vertical axis based on the electromagnetic echo
  • perform an operation of marking targets on the zero-frequency point echo differential map Exemplarily, in Fig. 14, two targets are marked based on the zero-frequency point echo difference map to obtain a marked target map, wherein any marked target can be a recognized vehicle, and the result of the marked target can be used as Vehicle Information.
  • determining the wheel information based on the echo signal includes: determining a time-frequency spectrum based on the echo signal; performing wheel axle detection based on the time-frequency spectrum to determine the wheel information.
  • the processing system receives the electromagnetic echo, it can process the electromagnetic echo to obtain the time spectrum of the electromagnetic echo, and then perform clutter suppression on the time spectrum to obtain the filtered time spectrum, and then the filtered The time spectrum of the wheel axle is detected to obtain the wheel information.
  • the embodiment of the present application does not limit the wheel axle detection method. For example, time-frequency transformation may be performed on the filtered time-frequency spectrum to obtain a corresponding time-frequency diagram, and wheel information may be obtained based on the time-frequency diagram.
  • electromagnetic echoes are obtained after the electromagnetic waves irradiate the vehicle, and the antenna receives the electromagnetic echoes and sends the electromagnetic echoes to the processing system.
  • the processing system can respectively obtain the time spectrum of the first target and the time spectrum of the second target based on the electromagnetic echo corresponding to the two targets.
  • the gray scale change represents the magnitude.
  • the clutter suppression can be performed on the above two time-spectrums to obtain the time-spectrum after filtering of the first target and the time-spectrum after filtering of the second target respectively, and then wheel axle detection can be performed to obtain wheel information.
  • the wheel axle detection method can be shown in Figure 14, in Figure 14, time-frequency transformation is performed on the time-frequency spectrum after filtering of the first target and the time-frequency spectrum after filtering of the second target to obtain Corresponding time-frequency diagram, the time-frequency diagram can take time as the horizontal axis and amplitude as the vertical axis, and obtain wheel information based on the time-frequency diagram, such as the time-frequency corresponding to the time-frequency spectrum of the first target filter in Figure 14
  • Two wheels can be detected in the picture, and three wheels can be detected in the time-frequency picture corresponding to the time-frequency spectrum after filtering of the first target, which can be used as the wheel information obtained from the two time-frequency pictures.
  • the vehicle information may be determined based on the echo signal first, and then the wheel information may be determined based on the echo signal. In some other embodiments, the wheel information may be determined based on the echo signal first, and then the vehicle information may be determined based on the echo signal.
  • the embodiment of the present application does not limit the sequence of determining the vehicle information and determining the wheel information.
  • the axle statistics result may be determined based on the wheel information and the vehicle information.
  • the processing system may first determine that the wheel information is 2 wheels within a certain period of time, and then determine that the two wheels belong to the same vehicle based on the vehicle information, so the processing system may determine that the axle statistics of the vehicle are 2.
  • the processing system may first determine vehicle information within a certain period of time, and a target is marked in the vehicle information, that is, the processing system detects a vehicle within this period of time, and then determine that the vehicle includes two wheels based on the wheel information , so the processing system can determine that the vehicle has an axle count of 2.
  • the method further includes: determining the vehicle length information based on the echo signal.
  • the embodiment of the present application does not limit the method of determining the vehicle length information based on the echo signal.
  • the vehicle speed information may be determined based on the echo signal; the vehicle length information may be determined based on the vehicle speed information and the vehicle information.
  • the embodiment of the present application does not limit the method of determining the vehicle speed information based on the echo signal, which can be selected according to the actual situation.
  • the vehicle speed information can be determined by using a dual-antenna speed measurement method for the electromagnetic echo.
  • the dual-antenna speed measurement method can arbitrarily select the array elements of two transmitting antennas and one receiving antenna element of the same antenna array.
  • the time difference between the two pulse signal sequences can be obtained by correlating the two pulse signal sequences.
  • the distance between the array elements of the two transmitting antennas is divided by the time difference to obtain the vehicle speed information.
  • the array elements of one transmitting antenna and the array elements of two receiving antennas of the same antenna array can be arbitrarily selected, and the array elements of the two receiving antennas respectively receive the echo signals corresponding to the echo signals sent by the array elements of the same transmitting antenna.
  • the pulse signal sequence, the time difference between the two pulse signal sequences can be obtained by correlating the two pulse signal sequences, and the distance between the array elements of the two receiving antennas can be divided by the time difference to obtain the vehicle speed information.
  • the determination of the vehicle speed information by using the dual-antenna speed measurement method may be as shown in FIG. 14 .
  • the vehicle information may be determined based on the echo signal first, and then the vehicle speed information may be determined based on the echo signal.
  • the vehicle speed information may be determined based on the echo signal first, and then the vehicle information may be determined based on the echo signal.
  • the embodiment of the present application does not limit the sequence of determining the vehicle information and determining the vehicle speed information.
  • the vehicle length information can be determined based on the vehicle speed information and the vehicle information.
  • the embodiment of the present application does not limit the method of determining the vehicle length information.
  • the time when the vehicle passes through the electromagnetic wave beam can be determined based on the zero-frequency point echo difference map, and the vehicle length information can be obtained by multiplying the time by the corresponding vehicle speed information.
  • the length of target 1 and target 2 can be obtained, which can be used as the vehicle length information .
  • the present application can also be used to determine the vehicle length information in addition to determining the axle statistics results, so that the vehicle length can be recorded, so that the statistical information is more comprehensive.
  • the processing system after the processing system receives the echo signal sent by the antenna in the axle statistics system, it further includes: determining the traffic flow monitoring result based on the echo signal. For example, if the processing system needs to monitor the traffic flow of the monitored lane for a certain period of time, it can obtain the number of vehicles passing by the monitored lane during this period of time based on the vehicle information, and obtain the traffic flow of the detected lane for this period of time, thus The traffic flow monitoring results can be obtained.
  • the present application can also be used to determine the traffic flow monitoring result in addition to determining the axle statistics results, so as to achieve the effect of monitoring the traffic flow of a certain lane, so that the statistical information is more comprehensive.
  • the processing system determines the vehicle length information based on the echo signal, it further includes: determining the vehicle type result based on the axle statistics result and the vehicle length information.
  • the model result of the vehicle can be Class 1; when the axle statistics result of a vehicle is 2, the vehicle length If the result is not less than 6000mm, the vehicle type result can be classified as 2 types; when the axle statistics result of a vehicle is 3, then the vehicle type result can be classified as 3 types; when the axle statistics result of a vehicle is 4, then The vehicle model result can be 4 types; when the axle statistics result of a vehicle is 5, then the vehicle model result can be 5 categories; when the axle statistics result of a vehicle is 6, then the vehicle model result can be There are 6 categories.
  • the present application can also be used to determine vehicle model results in addition to determining axle statistics results, so that vehicle models can be distinguished, thereby making statistical information more comprehensive.
  • the embodiment of the present application provides a method for determining the result of the vehicle type and the monitoring result of the traffic flow, wherein the method for determining the result of the vehicle type includes:
  • the processing system receives an echo signal.
  • this step reference may be made to the above step 1301, which will not be repeated here.
  • the processing system performs clutter suppression. For the implementation of this step, reference may be made to the above step 1302, which will not be repeated here.
  • the processing system performs time-frequency transformation to obtain a time-frequency diagram.
  • time-frequency transformation to obtain a time-frequency diagram.
  • the processing system detects the wheels and obtains the wheel information.
  • this step reference may be made to the above step 1302, which will not be repeated here.
  • the processing system extracts the zero-frequency echo to obtain vehicle information.
  • the processing system determines an axle statistics result based on the wheel information obtained by the wheel detection and the vehicle information obtained by extracting the zero-frequency echo. For the implementation of this step, reference may be made to the above step 1302, which will not be repeated here.
  • the processing system determines the vehicle speed information. For the implementation of this step, reference may be made to the above step 1302, which will not be repeated here.
  • the processing system determines the vehicle length information based on the vehicle speed information and the vehicle information obtained by extracting the zero-frequency echo. For the implementation of this step, reference may be made to the above step 1302, which will not be repeated here.
  • the processing system determines the model result based on the axle statistics result and the vehicle length information. For the implementation of this step, reference may be made to the above step 1302, which will not be repeated here.
  • the methods for determining the traffic flow monitoring results include:
  • the processing system receives an echo signal.
  • this step reference may be made to the above step 1301, which will not be repeated here.
  • the processing system extracts the zero-frequency echo to obtain vehicle information.
  • the processing system determines the traffic volume based on the vehicle information. For the implementation of this step, reference may be made to the above step 1302, which will not be repeated here.
  • the processing system determines the traffic flow monitoring result based on the traffic flow. For the implementation of this step, reference may be made to the above step 1302, which will not be repeated here.
  • Fig. 16 is a schematic structural diagram of an axle counting device provided in an embodiment of the present application. Based on the following multiple modules shown in FIG. 16 , the axle counting device shown in FIG. 16 can perform all or part of the operations of the aforementioned axle counting method shown in FIG. 13 . It should be understood that the device may include more additional modules than those shown or omit some of the modules shown therein, which is not limited in this embodiment of the present application. As shown in Figure 16, the device includes:
  • the receiving module 1601 is used to receive the echo signal sent by the antenna in the axle statistics system
  • the first determination module 1602 is configured to determine the statistical result of the axle based on the echo signal.
  • the first determining module 1602 is configured to determine vehicle information based on the echo signal; determine wheel information based on the echo signal; and determine axle statistics results based on the vehicle information and the wheel information.
  • the device also includes:
  • the second determination module is configured to determine the vehicle length information based on the echo signal.
  • the device also includes:
  • the third determination module is configured to determine the traffic flow monitoring result based on the echo signal.
  • the device also includes:
  • the fourth determination module is used to determine the vehicle type result based on the axle statistics result and the vehicle length information.
  • the first determining module 1602 is configured to determine a time-frequency spectrum based on the echo signal; perform wheel axle detection based on the time-frequency spectrum to determine wheel information.
  • the division of the above-mentioned functional modules is used as an example for illustration.
  • the above-mentioned function distribution can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into into different functional modules to complete all or part of the functions described above.
  • the device and the method embodiment provided by the above embodiment belong to the same idea, and the specific implementation process thereof is detailed in the method embodiment, and will not be repeated here.
  • FIG. 17 is a schematic structural diagram of another network device provided by an embodiment of the present application.
  • the network device includes one or more processors (central processing units, CPU) 1701 and one or more memories 1702, wherein the one or more At least one computer program is stored in each memory 1702, and the at least one computer program is loaded and executed by the one or more processors 1701, so that the server implements the axle statistic methods provided by the above method embodiments.
  • the network device may also have components such as wired or wireless network interfaces, keyboards, and input and output interfaces for input and output, and the network device may also include other components for realizing device functions, which will not be repeated here.
  • the embodiment of the present application also provides a communication device, which includes: a transceiver, a memory, and a processor.
  • a communication device which includes: a transceiver, a memory, and a processor.
  • the transceiver, the memory and the processor communicate with each other through an internal connection path, the memory is used to store instructions, and the processor is used to execute the instructions stored in the memory to control the transceiver to receive signals and control the transceiver to send signals , and when the processor executes the instructions stored in the memory, the processor is caused to execute the axle statistics method.
  • processor may be a central processing unit (CPU), and may also be other general-purpose processors, digital signal processing (digital signal processing, DSP), application specific integrated circuit (application specific integrated circuit, ASIC), field-programmable gate array (field-programmable gate array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.
  • DSP digital signal processing
  • ASIC application specific integrated circuit
  • FPGA field-programmable gate array
  • a general purpose processor may be a microprocessor or any conventional processor or the like. It should be noted that the processor may be a processor supporting advanced RISC machines (ARM) architecture.
  • ARM advanced RISC machines
  • the above-mentioned memory may include a read-only memory and a random-access memory, and provide instructions and data to the processor.
  • Memory may also include non-volatile random access memory.
  • the memory may also store device type information.
  • the memory can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory.
  • the non-volatile memory can be read-only memory (read-only memory, ROM), programmable read-only memory (programmable ROM, PROM), erasable programmable read-only memory (erasable PROM, EPROM), electrically programmable Erases programmable read-only memory (electrically EPROM, EEPROM) or flash memory.
  • Volatile memory can be random access memory (RAM), which acts as external cache memory. By way of illustration and not limitation, many forms of RAM are available.
  • static random access memory static random access memory
  • dynamic random access memory dynamic random access memory
  • DRAM dynamic random access memory
  • SDRAM synchronous dynamic random access memory
  • double data rate synchronous dynamic random access Memory double data date SDRAM, DDR SDRAM
  • enhanced synchronous dynamic random access memory enhanced SDRAM, ESDRAM
  • serial link DRAM SLDRAM
  • direct memory bus random access memory direct rambus RAM
  • the embodiment of the present application also provides a computer-readable storage medium, at least one instruction is stored in the storage medium, and the instruction is loaded and executed by a processor, so that the computer implements the axle statistics method described above.
  • the present application provides a computer program.
  • the processor or the computer can execute the corresponding steps and/or processes in the above method embodiments.
  • the embodiment of the present application also provides a chip, including a processor, configured to call and execute instructions stored in the memory from the memory, so that the communication device installed with the chip executes any one of the axle counting methods described above.
  • the embodiment of the present application also provides another chip, including: an input interface, an output interface, a processor, and a memory.
  • the input interface, the output interface, the processor, and the memory are connected through an internal connection path, and the processor is used to execute the code in the memory. , when the code is executed, the processor is used to execute any one of the axle statistics methods described above.
  • a computer program product includes one or more computer instructions.
  • Computer instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, e.g. Coaxial cable, optical fiber, digital subscriber line) or wireless (such as infrared, wireless, microwave, etc.) to another website site, computer, server or data center.
  • the computer-readable storage medium may be any available medium that can be accessed by a computer, or a data storage device such as a server, a data center, etc. integrated with one or more available media.
  • Available media may be magnetic media (eg, floppy disk, hard disk, magnetic tape), optical media (eg, DVD), or semiconductor media (eg, Solid State Disk).
  • the computer program product includes one or more computer program instructions.
  • the methods of embodiments of the present application may be described in the context of machine-executable instructions, such as program modules included in a device executed on a real or virtual processor of a target.
  • program modules include routines, programs, libraries, objects, classes, components, data structures, etc. that perform particular tasks or implement particular abstract data structures.
  • the functionality of the program modules may be combined or divided between the described program modules.
  • Machine-executable instructions for program modules may be executed locally or in distributed devices. In a distributed device, program modules may be located in both local and remote storage media.
  • Computer program codes for implementing the methods of the embodiments of the present application may be written in one or more programming languages. These computer program codes can be provided to the processor of a general-purpose computer, a special-purpose computer, or other programmable axle counting devices, so that the program codes, when executed by the computer or other programmable axle counting devices, cause The functions/operations specified in are implemented.
  • the program code may execute entirely on the computer, partly on the computer, as a stand-alone software package, partly on the computer and partly on a remote computer or entirely on the remote computer or server.
  • computer program codes or related data may be carried by any appropriate carrier, so that a device, apparatus or processor can perform various processes and operations described above.
  • Examples of carriers include signals, computer readable media, and the like.
  • Examples of signals may include electrical, optical, radio, sound, or other forms of propagated signals, such as carrier waves, infrared signals, and the like.
  • a machine-readable medium may be any tangible medium that contains or stores a program for or related to an instruction execution system, apparatus, or device.
  • a machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium.
  • a machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination thereof. More detailed examples of machine-readable storage media include electrical connections with one or more wires, portable computer disks, hard disks, random storage access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash), optical storage, magnetic storage, or any suitable combination thereof.
  • the disclosed systems, devices and methods may be implemented in other ways.
  • the device embodiments described above are only illustrative.
  • the division of the modules is only a logical function division. In actual implementation, there may be other division methods.
  • multiple modules or components can be combined or can be Integrate into another system, or some features may be ignored, or not implemented.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices or modules, and may also be electrical, mechanical or other forms of connection.
  • the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place, or may be distributed to multiple network modules. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present application.
  • each functional module in each embodiment of the present application may be integrated into one processing module, each module may exist separately physically, or two or more modules may be integrated into one module.
  • the above-mentioned integrated modules can be implemented in the form of hardware or in the form of software function modules.
  • the integrated module is realized in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium.
  • the technical solution of the present application is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of software products, and the computer software products are stored in a storage medium
  • several instructions are included to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods in the various embodiments of the present application.
  • the aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (read-only memory, ROM), random access memory (random access memory, RAM), magnetic disk or optical disc and other media that can store program codes. .
  • first and second are used to distinguish the same or similar items with basically the same function and function. It should be understood that “first”, “second” and “nth” There are no logical or timing dependencies, nor are there restrictions on quantity or order of execution. It should also be understood that although the following description uses the terms first, second, etc. to describe various elements, these elements should not be limited by the terms. These terms are only used to distinguish one element from another. For example, a first image could be termed a second image, and, similarly, a second image could be termed a first image, without departing from the scope of the various described examples. Both the first image and the second image may be images, and in some cases, separate and distinct images.
  • if and “if” may be construed to mean “when” ("when” or “upon”) or “in response to determining” or “in response to detecting”.
  • phrases “if it is determined" or “if [the stated condition or event] is detected” may be construed to mean “when determining” or “in response to determining... ” or “upon detection of [stated condition or event]” or “in response to detection of [stated condition or event]”.
  • determining B according to A does not mean determining B only according to A, and B may also be determined according to A and/or other information.

Abstract

本申请公开了车轴统计系统、方法及计算机可读存储介质，属于电磁波技术领域。所述系统包括：处理系统与天线，天线被放置在被监测车道的目标位置处，使天线发射的电磁波波束覆盖车道上的任一车辆的至少一侧的车轮：处理系统，用于向天线发送射频信号；天线，用于接收处理系统发送的射频信号，基于射频信号向目标区域发射；天线，还用于接收电磁波返回的电磁回波，将电磁回波对应的回波信号发送至处理系统；处理系统，还用于接收天线发送的回波信号；基于回波信号确定车轴统计结果。本申请提供的车轴统计系统将天线放置在被监测车道的目标位置处，避免检测多条车道时发生车辆遮挡问题，提高了车轴统计结果的可靠性与准确性。

Description

车轴统计系统、方法及计算机可读存储介质 技术领域
本申请涉及电磁波技术领域，特别涉及一种车轴统计系统、方法及计算机可读存储介质。
背景技术
随着车辆数量的不断增加，取消收费站实现自由流是高速收费发展的趋势。由于高速收费对于不同车型的车辆有不同的收费标准，高速收费对于车型分类的主要分类特征包括车轴数量。因此，若要实现自由流收费就要通过一种非人工的方式对车轴进行统计。
在相关技术中，车轴统计可以采用雷达设备，例如多普勒雷达设备等。可以将上述雷达设备放置在车道边对车道上的车辆发射波束，且该波束可以照射到车道上行驶的车辆的车轮，之后该雷达设备通过检测电磁回波的频率变化来识别车轮，从而对车轴进行统计。
由于上述雷达设备被放置在车道边，因此，当该雷达设备检测多条车道时会发生车辆遮挡问题，降低了车轴统计结果的可靠性和准确性。
发明内容
本申请提供了一种车轴统计系统、方法及计算机可读存储介质，以解决相关技术提供的问题，技术方案如下：
第一方面，提供了一种车轴统计系统，该系统包括处理系统与天线，所述天线被放置在被监测车道的目标位置处，使所述天线发射的电磁波波束覆盖所述车道上的任一车辆至少一侧的车轮：所述处理系统，用于向所述天线发送射频信号；所述天线，用于接收所述处理系统发送的射频信号，基于所述射频信号向目标区域发射电磁波；所述天线，还用于接收所述电磁波返回的电磁回波，将所述电磁回波对应的回波信号发送至所述处理系统；所述处理系统，还用于接收所述天线发送的回波信号；基于所述回波信号确定车轴统计结果。
本申请提供的技术方案将天线放置在被监测车道的目标位置处，使天线发射的电磁波波束覆盖车道上的任一车辆至少一侧的车轮，避免检测多条车道时发生车辆遮挡问题，提高了车轴统计结果的可靠性与准确性。
在一种可能的实现方式中，所述处理系统，用于基于所述回波信号确定车辆信息和车轮信息；基于所述车轮信息与所述车辆信息确定车轴统计结果。
在一种可能的实现方式中，所述处理系统，还用于基于所述回波信号确定车长信息。本申请在确定车轴统计结果之外，还可以用于确定车长信息，从而可以记录车辆的车长，从而使统计的信息更为全面。
在一种可能的实现方式中，所述处理系统，还用于基于所述车轴统计结果与所述车长信息确定车型结果。本申请在确定车轴统计结果之外，还可以用于确定车型结果，从而可以分辨车辆的车型，从而使统计的信息更为全面。
在一种可能的实现方式中，所述处理系统，还用于基于所述回波信号确定车流量监测结果。本申请在确定车轴统计结果之外，还可以用于确定车流量监测结果，从而可以监测车 道的车流量，从而使统计的信息更为全面。
在一种可能的实现方式中，所述处理系统包括发射机、接收机与处理机：所述发射机，用于向所述天线发送射频信号；所述接收机，用于接收所述天线发送的回波信号，将所述回波信号发送至所述处理机；所述处理机，用于接收所述接收机发送的回波信号；基于所述回波信号确定车轴统计结果。
在一种可能的实现方式中，所述天线包括发射天线与接收天线：所述发射天线，用于接收所述发射机发送的射频信号，基于所述射频信号向目标区域发射电磁波；所述接收天线，用于接收所述电磁波返回的电磁回波，将所述电磁回波对应的回波信号发送至所述接收机。
在一种可能的实现方式中，所述发射天线的阵元为多个，所述接收天线的阵元为一个，多个发射天线的阵元与一个接收天线的阵元在车辆行驶方向上形成一收多发天线阵列；
或者，所述发射天线的阵元为多个，所述接收天线的阵元为多个，所述多个发射天线阵元与所述多个接收天线阵元在车辆行驶方向上形成多收多发阵列。
或者，所述发射天线的阵元为一个，所述接收天线的阵元为多个，一个发射天线的阵元与多个接收天线的阵元在车辆行驶方向上形成一发多收天线阵列。
在一种可能的实现方式中，所述电磁波的波束在车辆行驶方向上的地面投影直径不大于50厘米。本申请中电磁波的波束在车辆行驶方向上的地面投影直径不大于50厘米即可实现本申请提供的车轴统计方法，降低了对发射该电磁波的天线的技术要求，从而降低了成本。
第二方面，提供了一种车轴统计方法，由车轴统计系统中的处理系统执行，该方法包括：接收所述车轴统计系统中的天线发送的回波信号；基于所述回波信号确定车轴统计结果。
在一种可能的实现方式中，基于所述回波信号确定车轴统计结果，包括：基于所述回波信号确定车辆信息；基于所述回波信号确定车轮信息；基于所述车辆信息与所述车轮信息确定所述车轴统计结果。
在一种可能的实现方式中，所述接收所述车轴统计系统中的天线发送的回波信号之后，还包括：基于所述回波信号确定车长信息。本申请在确定车轴统计结果之外，还可以用于确定车长信息，从而可以记录车辆的车长，从而使统计的信息更为全面。
在一种可能的实现方式中，所述接收所述车轴统计系统中的天线发送的回波信号之后，还包括：基于所述回波信号确定车流量监测结果。本申请在确定车轴统计结果之外，还可以用于确定车流量监测结果，从而达到可以监测某车道的车流量的效果，使统计的信息更为全面。
在一种可能的实现方式中，所述基于所述回波信号确定车长信息之后，还包括：基于所述车轴统计结果与所述车长信息确定车型结果。本申请在确定车轴统计结果之外，还可以用于确定车型结果，从而可以分辨车辆的车型，从而使统计的信息更为全面。
在一种可能的实现方式中，所述基于所述回波信号确定车轮信息，包括：基于所述回波信号确定时频谱；基于所述时频谱进行轮轴检测确定所述车轮信息。
第三方面，提供了一种车轴统计装置，所述装置包括：
接收模块，用于接收所述车轴统计系统中的天线发送的回波信号；
第一确定模块，用于基于所述回波信号确定车轴统计结果。
在一种可能的实现方式中，第一确定模块，用于基于所述回波信号确定车辆信息；基于所述回波信号确定车轮信息；基于所述车辆信息与所述车轮信息确定所述车轴统计结果。
在一种可能的实现方式中，该装置还包括：
第二确定模块，用于基于所述回波信号确定车长信息。
在一种可能的实现方式中，该装置还包括：
第三确定模块，用于基于所述回波信号确定车流量监测结果。
在一种可能的实现方式中，该装置还包括：
第四确定模块，用于基于所述车轴统计结果与所述车长信息确定车型结果。
在一种可能的实现方式中，第一确定模块，用于基于所述回波信号确定时频谱；基于所述时频谱进行轮轴检测确定所述车轮信息。
第四方面，提供了一种车轴统计设备，所述设备包括存储器及处理器；所述存储器中存储有至少一条指令，所述至少一条指令由所述处理器加载并执行，以使所述车轴统计的设备实现上述第二方面所述的车轴统计方法。
第五方面，提供了一种计算机可读存储介质，所述计算机可读存储介质中存储有至少一条计算机程序，所述至少一条计算机程序由处理器加载并执行，以使计算机实现上述第二方面所述的车轴统计方法。
第六方面，提供了另一种通信装置，该装置包括：收发器、存储器和处理器。其中，该收发器、该存储器和该处理器通过内部连接通路互相通信，该存储器用于存储指令，该处理器用于执行该存储器存储的指令，以控制收发器接收信号，并控制收发器发送信号，并且当该处理器执行该存储器存储的指令时，使得该处理器执行第二方面的任一种可能的实施方式中的方法。
可选地，所述处理器为一个或多个，所述存储器为一个或多个。
可选地，所述存储器可以与所述处理器集成在一起，或者所述存储器与处理器分离设置。
在具体实现过程中，存储器可以为非瞬时性(non-transitory)存储器，例如只读存储器(read only memory，ROM)，其可以与处理器集成在同一块芯片上，也可以分别设置在不同的芯片上，本申请对存储器的类型以及存储器与处理器的设置方式不做限定。
第七方面，提供了一种计算机程序(产品)，所述计算机程序(产品)包括：计算机程序代码，当所述计算机程序代码被计算机运行时，使得所述计算机执行上述第二方面所述的车轴统计方法。
第八方面，提供了一种芯片，包括处理器，用于从存储器中调用并运行所述存储器中存储的指令，使得安装有所述芯片的通信设备执行上述第二方面所述的车轴统计方法。
第九方面，提供另一种芯片，包括：输入接口、输出接口、处理器和存储器，所述输入接口、输出接口、所述处理器以及所述存储器之间通过内部连接通路相连，所述处理器用于执行所述存储器中的代码，当所述代码被执行时，所述处理器用于执行上述第二方面所述的方法。
附图说明
图1为本申请实施例提供的一种车轴统计系统的示意图；
图2为本申请实施例提供的一种天线的放置方式的示意图；
图3为本申请实施例提供的一种电磁波波束覆盖车道上的任一车辆至少一侧车轮的示意图；
图4为本申请实施例提供的另一种天线的放置方式的示意图；
图5为本申请实施例提供的另一种天线的放置方式的示意图；
图6为本申请实施例提供的另一种天线的放置方式的示意图；
图7为本申请实施例提供的另一种电磁波波束覆盖车道上的任一车辆至少一侧车轮的示意图；
图8为本申请实施例提供的另一种车轴统计系统的示意图；
图9为本申请实施例提供的一种多收多发阵列形式天线的示意图；
图10为本申请实施例提供的一种电磁波波束示意图；
图11为本申请实施例提供的一种电磁波波束的三维示意图；
图12为本申请实施例提供的另一种电磁波波束的三维示意图；
图13为本申请实施例提供的一种车轴统计方法流程图；
图14为本申请实施例提供的一种确定车辆信息、车轮信息、车速信息与车长信息的过程示意图；
图15为本申请实施例提供的一种确定车型结果与车流量监测结果的方法流程图；
图16为本申请实施例提供的一种车轴统计装置的结构示意图；
图17为本申请实施例提供的一种网络设备的结构示意图。
具体实施方式
为使本申请的目的、技术方案和优点更加清楚，下面将结合附图对本申请实施方式作进一步地详细描述。本申请的实施方式部分使用的术语仅用于对本申请的具体实施例进行解释，而非旨在限定本申请。
本申请实施例提供了一种车轴统计系统，以图1所示的系统结构示意图为例，该车轴统计系统10包括处理系统11与天线12，天线12被放置在被监测车道的目标位置处，使天线12发射的电磁波波束覆盖车道上的任一车辆的至少一侧的车轮：处理系统11，用于向天线12发送射频信号；天线12，用于接收处理系统11发送的射频信号，基于射频信号向目标区域发射电磁波；天线12，还用于接收电磁波返回的电磁回波，将电磁回波对应的回波信号发送至处理系统11；处理系统11，还用于接收天线12发送的回波信号；基于回波信号确定车轴统计结果。
本申请实施例不对目标位置进行限定，能够使天线12发射的电磁波波束覆盖车道上的任一车辆至少一侧的车轮即可。例如，该目标位置为被监测车道两侧的边线中的至少一条边线上方的目标高度处，上述边线上方可以为边线左右阈值范围内的上方，本申请实施例不对该阈值进行限定。示例性地，该目标高度可以为高于该被监测车道上的车辆顶部的高度，在一些实施例中，该目标高度为被检测车道的龙门架的高度。可选地，天线12的放置方式包括但不限于以下两种方式。
方式一：可以在每条被监测车道的两侧边线的上方的目标位置处分别放置天线12，使天线12发射的电磁波波束能够覆盖对应车道上的任一车辆的至少一侧的车轮。示例性地，如图2所示，天线12包括天线121、天线122、天线123与天线124。其中，天线121对应车道1，天线122对应车道1和车道2，天线123对应车道2和车道3，天线124对应车道3。四个天线可以对应三个车道。天线121发射的电磁波波束能够覆盖车道1上的任一车辆的至少一侧 的车轮，天线122发射的电磁波波束能够覆盖车道1和车道2上的任一车辆的至少一侧的车轮，天线123发射的电磁波波束能够覆盖车道2和车道3上的任一车辆的至少一侧的车轮，天线124发射的电磁波波束能够覆盖车道3上的任一车辆的至少一侧的车轮。处理系统11与天线121、天线122、天线123与天线124分别相连，本申请实施例不对处理系统11的位置进行限定。
在该方式下，如图3所示，两个天线发射的电磁波波束覆盖一条车道上的任一车辆的至少一侧的车轮。图3中任一车道的宽度为3.75米，天线128与天线129放置的高度均为6米。图3中示意了两辆车辆的车轮及车轴，其中宽度较大的车辆宽度为2.6米，宽度较小的车辆宽度为1.75米，两辆车辆的车轮高度均为1米。图3中天线129发射的电磁波波束在垂直车辆行驶方向上的投影宽度不小于2.4米。因此宽度为2.6米的车辆可以被天线129发射的电磁波波束覆盖至少一侧的车轮，当该车辆不断向该车道的右侧靠近时，天线129发射的电磁波波束依旧可以覆盖该车辆的至少一侧的车轮。天线128可以与天线129采用同种天线，因此天线128的投影宽度也可以不小于2.4米，该车道上的任一车辆的至少一侧的车轮可以被电磁波波束覆盖。
方式二：可以在每条被监测车道的任一侧边线的上方的目标位置处放置天线12使天线12发射的电磁波波束能够覆盖对应车道上的任一车辆的至少一侧的车轮。示例性地，如图4所示，可以在任一车道的右侧悬挂该车道对应的天线。天线12包括天线125、天线126与天线127。其中，天线125对应车道4，天线126对应车道5，天线127对应车道6。天线125发射的电磁波波束能够覆盖车道4与车道5上的任一车辆至少一侧的车轮，天线126发射的电磁波波束能够覆盖车道5与车道6上的任一车辆至少一侧的车轮，天线127发射的电磁波波束能够覆盖车道6上的任一车辆至少一侧的车轮。处理系统11与天线125、天线126与天线127分别相连，本申请实施例不对处理系统11的位置进行限定。
示例性地，如图5所示，天线12被放置在车道右侧，天线12发射的电磁波波束能够覆盖该车道上的任一车辆的至少一侧的车轮，处理系统11与天线12相连，本申请实施例不对处理系统11的位置进行限定。
示例性地，如图6所示，天线12被放置在车道左侧，天线12发射的电磁波波束能够覆盖该车道上的任一车辆的至少一侧的车轮，处理系统11与天线12相连，本申请实施例不对处理系统11的位置进行限定。
在该方式下，如图7所示，一个天线发射的电磁波波束覆盖车道上的任一车辆的至少一侧的车轮，图7中车道的宽度为3.75米，天线12放置的高度为6米。图7中示意了两辆车辆的车轮及车轴，其分别位于该车道的最左侧与最右侧，车辆宽度均为1.75米，车轮高度均为1米。图7中天线12发射的电磁波波束在垂直车辆行驶方向上的投影宽度不小于2.4米，该电磁波波束能够覆盖图7中的两辆车辆中任一车辆的至少一侧的车轮，因此电磁波波束可以覆盖图中两辆车辆的至少一侧的车轮。
可选地，处理系统11，用于基于回波信号确定车辆信息和车轮信息；基于车轮信息与车辆信息确定车轴统计结果。此处不对确定车辆信息、确定车轮信息以及确定车轴统计结果的方法进行详细说明，请相应参考后面方法实施例中的相关描述。
示例性地，处理系统11，还用于基于回波信号确定车长信息。此处不对确定车长信息的方法进行详细说明，请相应参考后面方法实施例中的相关描述。本申请在确定车轴统计结果 之外，还可以用于确定车长信息，从而可以记录车辆的车长，从而使统计的信息更为全面。
可选地，处理系统11，还用于基于车轴统计结果与车长信息确定车型结果。此处不对确定车型结果的方法进行详细说明，请相应参考后面方法实施例中的相关描述。本申请在确定车轴统计结果之外，还可以用于确定车型结果，从而可以分辨车辆的车型，从而使统计的信息更为全面。
示例性地，处理系统11，还用于基于回波信号确定车流量监测结果。此处不对确定车流量监测结果的方法进行详细说明，请相应参考后面方法实施例中的相关描述。本申请在确定车轴统计结果之外，还可以用于确定车流量监测结果，从而达到可以监测某车道的车流量的效果，从而使统计的信息更为全面。
在一些实施例中，处理系统11可以是例如现场可编程门阵列(field-programmable gate array，FPGA)，数字信号处理(digital signal process，DSP)芯片，或其他通用或专用计算芯片等智能设备，可选地，本申请实施例不对天线的具体种类进行限定，该天线可以是任意一种可以实现电磁波的发送与接收的天线。
示例性地，如图8所示，处理系统11包括发射机13、接收机14与处理机15：发射机13，用于向天线12发送射频信号；接收机14，用于接收天线12发送的回波信号，将回波信号发送至处理机15；处理机15，用于接收接收机14发送的回波信号；基于回波信号确定车轴统计结果。
示例性地，如图8所示，天线12包括发射天线16与接收天线17：发射天线16，用于接收发射机13发送的射频信号，基于射频信号向目标区域发射电磁波；接收天线17，用于接收电磁波返回的电磁回波，将电磁回波对应的回波信号发送至接收机14。
本申请实施例不对发射天线16的阵元与接收天线17的阵元的数量进行限定，可选地，发射天线16的阵元为多个，接收天线17的阵元为一个，多个发射天线16的阵元与一个接收天线17的阵元在车辆行驶方向上形成一收多发天线阵列；或者，发射天线16的阵元为多个，接收天线17的阵元为多个，多个发射天线16的阵元与多个接收天线17的阵元在车辆行驶方向上形成多收多发阵列；或者，发射天线16的阵元为一个，接收天线17的阵元为多个，一个发射天线16的阵元与多个接收天线17的阵元在车辆行驶方向上形成一发多收天线阵列。图9为一种本申请实施例可以采用的一种多收多发阵列形式的示意图，其中，发射天线16的阵元为4个，接收天线17的阵元为8个。
可选地，电磁波的波束在车辆行驶方向上的地面投影直径不大于50厘米。当该直径不大于50厘米时，可以使该波束在车辆行驶方向上不会同时覆盖同一辆车辆上的前后两个车轮，例如在识别存在轮轴组的货车时，使该直径不大于50厘米可以使该波束在车辆行驶方向上不会同时覆盖该货车的前后两个车轮。示例性地，当车辆驶过时，一种可能的电磁波的波束可以如图10所示，该车辆的行驶速度为v，因此车轮在车辆行驶方向上的速度也为v，车轮的任一切向速度也为v。在该车辆的任一车轮在开始被电磁波照射到直至该车轮离开电磁波照射范围的过程中，通过该电磁波的波束一直可以检测到该车辆车轮的切向速度v。本申请实施例可以通过检测车轮的切向速度来确定车轮信息。
本申请实施例不对电磁波波束在垂直车辆行驶方向上的地面投影直径进行限定，电磁波波束在垂直车辆行驶方向上的地面投影可以覆盖该车道上任一车辆的至少一侧的车轮即可。示例性地，图11为电磁波的波束在车辆行驶方向上的地面投影直径不大于50厘米的情况下， 天线12基于上述方式一进行放置时对应的电磁波波束的三维示意图，当基于两个天线对同一目标物体进行识别时，两个天线发射的电磁波波束对车道上物体的覆盖情况可以如图11所示，由于电磁波波束在车辆行驶方向上的地面投影直径不大于50厘米，因此电磁波波束在该方向上较窄；电磁波波束在垂直车辆行驶方向上的地面投影需要覆盖该车道上任一车辆的至少一侧的车轮，因此电磁波波束在该方向上较宽。因此图11中电磁波波束对物体的覆盖呈扁平状。
示例性地，图12为电磁波的波束在车辆行驶方向上的地面投影直径不大于50厘米的情况下，天线12基于上述方式二进行放置时对应的电磁波波束的三维示意图，基于一个天线对一个目标物体进行识别时，一个天线发射的电磁波波束对车道上物体的覆盖情况可以如图12所示，与图11同理，图12中电磁波波束对物体的覆盖呈扁平状。
本申请中电磁波的波束在车辆行驶方向上的地面投影直径不大于50厘米即可实现本申请提供的车轴统计方法，降低了对发射该电磁波的天线的技术要求，从而降低了成本。
本申请提供的技术方案将天线12放置在被监测车道的目标位置处，使天线发射的电磁波波束覆盖车道上的任一车辆的至少一侧的车轮，避免检测多条车道时发生车辆遮挡问题，提高了车轴统计结果的可靠性与准确性。
如图13所示，本申请实施例提供了一种车轴统计方法，该方法由车轴统计系统中的处理系统执行。例如，本申请实施例提供的车轴统计方法可应用于图1所示的车轴统计系统10，由车轴统计系统10中的处理系统11执行该车轴统计方法。可选地，当该处理系统包括发射机、接收机与处理机时，该方法由处理系统中的处理机执行，本申请实施例以处理系统执行为例，该方法包括：
步骤1301，处理系统接收车轴统计系统中的天线发送的回波信号。
示例性地，天线接收到处理系统发送的射频信号，基于射频信号向目标区域发射电磁波，该电磁波发射到目标区域后可以形成电磁回波，天线可以接收该电磁回波，并可以将该电磁回波转化为对应的回波信号，该回波信号可以为射频信号的形式，然后该回波信号发送至处理系统，处理系统可以接收该回波信号。本申请实施例不对处理系统接收回波信号的方法进行限定，例如，回波信号为电信号，处理系统可以通过电线接收该回波信号，本申请实施例不限定该电线的种类。
步骤1302，处理系统基于回波信号确定车轴统计结果。
可选地，基于回波信号确定车轴统计结果，包括：基于回波信号确定车辆信息；基于回波信号确定车轮信息；基于车辆信息与车轮信息确定车轴统计结果。
本申请实施例不对基于回波信号确定车辆信息的方法进行限定，例如，可以对回波信号提取零频回波得到零频点回波差分图，之后可以通过零频点回波差分图确定车辆信息。在一些实施例中，通过零频点回波差分图确定车辆信息时，可以对该零频点回波差分图进行标记目标的操作，并将标记目标的结果作为车辆信息。如图14所示，电磁波照射到车辆之后得到电磁回波，天线接收电磁回波并将该电磁回波发送至处理系统。处理系统可以基于电磁回波得到以时间为横轴、以差分强度为纵轴的零频点回波差分图，并对该零频点回波差分图进行标记目标的操作。示例性地，在图14中基于零频点回波差分图标记了两个目标得到标记目标图，其中被标记的任一目标可以为一个识别到的车辆，此时可以将标记目标的结果作为车辆信息。
可选地，基于回波信号确定车轮信息，包括：基于回波信号确定时频谱；基于时频谱进行轮轴检测确定车轮信息。示例性地，在处理系统接收电磁回波后，可以对电磁回波进行处理得到该电磁回波的时频谱，再对该时频谱进行杂波抑制得到滤波后的时频谱，再对该滤波后的时频谱进行轮轴检测，得到车轮信息。本申请实施例不限定轮轴检测的方法，例如，可以对滤波后的时频谱进行时频变换，得到对应的时频图，基于该时频图可以得到车轮信息。
在一种可能的实施方式中，如图14所示，电磁波照射到车辆之后得到电磁回波，天线接收电磁回波并将该电磁回波发送至处理系统。处理系统可以基于电磁回波对应两个目标分别得到了第1个目标的时频谱与第2个目标的时频谱，上述的两个时频谱可以以时间为横轴，以速率为纵轴，以灰度变化表示幅值。然后可以对上述两个时频谱进行杂波抑制的处理，分别得到第1个目标滤波后的时频谱与第2个目标滤波后的时频谱，然后就可以进行轮轴检测得到车轮信息。
在一种可能的实施方式中，轮轴检测的方法可以如图14所示，在图14中对第1个目标滤波后的时频谱与第2个目标滤波后的时频谱分别进行时频变换得到对应的时频图，该时频图可以以时间为横轴，以振幅为纵轴，并基于时频图得到车轮信息，例如图14中与第1个目标滤波后的时频谱对应的时频图中可以检测到两个车轮，第1个目标滤波后的时频谱对应的时频图中可以检测到三个车轮，可以将此作为从两个时频图中得到的车轮信息。
需要说明的是，在一些实施例中，可以先基于回波信号确定车辆信息，再基于回波信号确定车轮信息。在另一些实施例中，可以先基于回波信号确定车轮信息，再基于回波信号确定车辆信息。本申请实施例对于确定车辆信息与确定车轮信息的先后顺序不进行限定。
示例性地，在确定了车轮信息与车辆信息之后，可以基于车轮信息与车辆信息确定车轴统计结果。例如处理系统可以首先在某段时间内确定的车轮信息为2个车轮，再基于车辆信息确定上述2个车轮属于同一辆车辆，由此处理系统可以确定该车辆的车轴统计结果为2。又例如，处理系统可以首先在某段时间内确定车辆信息，该车辆信息中标记有一个目标，即在该段时间内处理系统检测到了一辆车辆，再基于车轮信息确定该车辆包括2个车轮，由此处理系统可以确定该车辆的车轴统计结果为2。
可选地，接收车轴统计系统中的天线发送的回波信号之后，还包括：基于回波信号确定车长信息。
本申请实施例不对基于回波信号确定车长信息的方法进行限定，例如可以基于回波信号确定车速信息；基于车速信息与车辆信息确定车长信息。本申请实施例不对基于回波信号确定车速信息的方法进行限定，可以根据实际情况自行选择，例如可以对电磁回波采用双天线测速方法确定车速信息。双天线测速方法可以任意选取同一天线阵列的两个发射天线的阵元和一个接收天线阵元，该接收天线的阵元接收到两个发射天线的阵元分别发送的回波信号所对应的两个相同脉冲信号序列，两个脉冲信号序列作相关可求得两个脉冲信号序列的时间差。两个发射天线的阵元之间的间距除以该时间差即可得到车速信息。或者，可以任意选取同一天线阵列的一个发射天线的阵元和两个接收天线的阵元，该两个接收天线的阵元分别接收到同一个发射天线的阵元发送的回波信号所对应的脉冲信号序列，两个脉冲信号序列作相关可求得两个脉冲信号序列的时间差，两个接收天线的阵元之间的间距除以该时间差即可得到车速信息。
示例性地，采用双天线测速方法确定车速信息可以如图14所示。需要说明的是，在一些 实施例中，可以先基于回波信号确定车辆信息，再基于回波信号确定车速信息。在另一些实施例中，可以先基于回波信号确定车速信息，再基于回波信号确定车辆信息。本申请实施例对于确定车辆信息与确定车速信息的先后顺序不进行限定。
在确定了车速信息后，可以基于车速信息与车辆信息确定车长信息。本申请实施例不对确定车长信息的方法进行限定，例如，可以基于零频点回波差分图确定车辆通过电磁波波束的时间，该时间乘以对应的车速信息即可得到车长消息。示例性地，如图14所示，在标记了两个目标并基于双天线测速方法得到了两个目标的速度后，可以得到目标1的长度与目标2的长度，可以将此作为车长信息。
本申请在确定车轴统计结果之外，还可以用于确定车长信息，从而可以记录车辆的车长，从而使统计的信息更为全面。
可选地，处理系统接收车轴统计系统中的天线发送的回波信号之后，还包括：基于回波信号确定车流量监测结果。例如，处理系统需要监测被监测车道某段时间的车流量，则可以基于车辆信息来得出被监测车道在该段时间内通过了多少车辆，获得被检测车道该段时间内的车流量，由此可以得到车流量监测结果。
本申请在确定车轴统计结果之外，还可以用于确定车流量监测结果，从而达到可以监测某车道的车流量的效果，从而使统计的信息更为全面。
可选地，处理系统基于回波信号确定车长信息之后，还包括：基于车轴统计结果与车长信息确定车型结果。在一种可能的实施方式中，当一辆车辆的车轴统计结果为2，车长结果小于6000mm，则该车辆的车型结果可以为1类；当一辆车辆的车轴统计结果为2，车长结果不小于6000mm，则该车辆的车型结果可以为2类；当一辆车辆的车轴统计结果为3，则该车辆的车型结果可以为3类；当一辆车辆的车轴统计结果为4，则该车辆的车型结果可以为4类；当一辆车辆的车轴统计结果为5，则该车辆的车型结果可以为5类；当一辆车辆的车轴统计结果为6，则该车辆的车型结果可以为6类。
本申请在确定车轴统计结果之外，还可以用于确定车型结果，从而可以分辨车辆的车型，从而使统计的信息更为全面。
如图15所示，本申请实施例提供了一种确定车型结果与车流量监测结果的方法，其中，确定车型结果的方法包括：
1501，处理系统接收回波信号。该步骤的实现方式可参见上述步骤1301，此处不再赘述。
1502，处理系统进行杂波抑制。该步骤的实现方式可参见上述步骤1302，此处不再赘述。
1503，处理系统进行时频变换，得到时频图。该步骤的实现方式可参见上述步骤1302，此处不再赘述。
1504，处理系统进行车轮检测，得到车轮信息。该步骤的实现方式可参见上述步骤1302，此处不再赘述。
1505，处理系统提取零频回波，得到车辆信息。该步骤的实现方式可参见上述步骤1302，此处不再赘述。
1506，处理系统基于车轮检测得到的车轮信息以及提取零频回波得到的车辆信息确定车轴统计结果。该步骤的实现方式可参见上述步骤1302，此处不再赘述。
1507，处理系统确定车速信息。该步骤的实现方式可参见上述步骤1302，此处不再赘述。
1508，处理系统基于车速信息与提取零频回波得到的车辆信息确定车长信息。该步骤的实现方式可参见上述步骤1302，此处不再赘述。
1509，处理系统基于车轴统计结果与车长信息确定车型结果。该步骤的实现方式可参见上述步骤1302，此处不再赘述。
另外，确定车流量监测结果的方法包括：
1501，处理系统接收回波信号。该步骤的实现方式可参见上述步骤1301，此处不再赘述。
1505，处理系统提取零频回波，得到车辆信息。该步骤的实现方式可参见上述步骤1302，此处不再赘述。
1510，处理系统基于车辆信息确定车流量。该步骤的实现方式可参见上述步骤1302，此处不再赘述。
1511，处理系统基于车流量确定车流量监测结果。该步骤的实现方式可参见上述步骤1302，此处不再赘述。
以上介绍了本申请实施例的车轴统计方法，与上述方法对应，本申请实施例还提供了车轴统计装置。图16为本申请实施例提供的一种车轴统计装置的结构示意图。基于图16所示的如下多个模块，该图16所示的车轴统计装置能够执行上述图13所示的车轴统计方法的全部或部分操作。应理解到，该装置可以包括比所示模块更多的附加模块或者省略其中所示的一部分模块，本申请实施例对此并不进行限制。如图16所示，装置包括：
接收模块1601，用于接收车轴统计系统中的天线发送的回波信号；
第一确定模块1602，用于基于回波信号确定车轴统计结果。
在一种可能的实现方式中，第一确定模块1602，用于基于回波信号确定车辆信息；基于回波信号确定车轮信息；基于车辆信息与车轮信息确定车轴统计结果。
在一种可能的实现方式中，该装置还包括：
第二确定模块，用于基于回波信号确定车长信息。
在一种可能的实现方式中，该装置还包括：
第三确定模块，用于基于回波信号确定车流量监测结果。
在一种可能的实现方式中，该装置还包括：
第四确定模块，用于基于车轴统计结果与车长信息确定车型结果。
在一种可能的实现方式中，第一确定模块1602，用于基于回波信号确定时频谱；基于时频谱进行轮轴检测确定车轮信息。
应理解的是，上述装置在实现其功能时，仅以上述各功能模块的划分进行举例说明，实际应用中，可以根据需要而将上述功能分配由不同的功能模块完成，即将设备的内部结构划分成不同的功能模块，以完成以上描述的全部或者部分功能。另外，上述实施例提供的装置与方法实施例属于同一构思，其具体实现过程详见方法实施例，这里不再赘述。
图17是本申请实施例提供的另一种网络设备的结构示意图，该网络设备包括一个或多个处理器(central processing units，CPU)1701和一个或多个存储器1702，其中，该一个或多个存储器1702中存储有至少一条计算机程序，该至少一条计算机程序由该一个或多个处理器1701加载并执行，以使该服务器实现上述各个方法实施例提供的车轴统计方法。当然，该网 络设备还可以具有有线或无线网络接口、键盘以及输入输出接口等部件，以便进行输入输出，该网络设备还可以包括其他用于实现设备功能的部件，在此不做赘述。
本申请实施例还提供了一种通信装置，该装置包括：收发器、存储器和处理器。其中，该收发器、该存储器和该处理器通过内部连接通路互相通信，该存储器用于存储指令，该处理器用于执行该存储器存储的指令，以控制收发器接收信号，并控制收发器发送信号，并且当该处理器执行该存储器存储的指令时，使得该处理器执行车轴统计方法。
应理解的是，上述处理器可以是中央处理器(central processing unit，CPU)，还可以是其他通用处理器、数字信号处理器(digital signal processing，DSP)、专用集成电路(application specific integrated circuit，ASIC)、现场可编程门阵列(field－programmable gate array，FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件等。通用处理器可以是微处理器或者是任何常规的处理器等。值得说明的是，处理器可以是支持进阶精简指令集机器(advanced RISC machines，ARM)架构的处理器。
进一步地，在一种可选的实施例中，上述存储器可以包括只读存储器和随机存取存储器，并向处理器提供指令和数据。存储器还可以包括非易失性随机存取存储器。例如，存储器还可以存储设备类型的信息。
该存储器可以是易失性存储器或非易失性存储器，或可包括易失性和非易失性存储器两者。其中，非易失性存储器可以是只读存储器(read-only memory，ROM)、可编程只读存储器(programmable ROM，PROM)、可擦除可编程只读存储器(erasable PROM，EPROM)、电可擦除可编程只读存储器(electrically EPROM，EEPROM)或闪存。易失性存储器可以是随机存取存储器(random access memory，RAM)，其用作外部高速缓存。通过示例性但不是限制性说明，许多形式的RAM可用。例如，静态随机存取存储器(static RAM，SRAM)、动态随机存取存储器(dynamic random access memory，DRAM)、同步动态随机存取存储器(synchronous DRAM，SDRAM)、双倍数据速率同步动态随机存取存储器(double data date SDRAM，DDR SDRAM)、增强型同步动态随机存取存储器(enhanced SDRAM，ESDRAM)、同步连接动态随机存取存储器(synchlink DRAM，SLDRAM)和直接内存总线随机存取存储器(direct rambus RAM，DR RAM)。
本申请实施例还提供了一种计算机可读存储介质，存储介质中存储有至少一条指令，指令由处理器加载并执行，以使计算机实现如上任一所述的车轴统计方法。
本申请提供了一种计算机程序，当计算机程序被计算机执行时，可以使得处理器或计算机执行上述方法实施例中对应的各个步骤和/或流程。
本申请实施例还提供了一种芯片，包括处理器，用于从存储器中调用并运行存储器中存储的指令，使得安装有芯片的通信设备执行如上任一所述的车轴统计方法。
本申请实施例还提供另一种芯片，包括：输入接口、输出接口、处理器和存储器，输入接口、输出接口、处理器以及存储器之间通过内部连接通路相连，处理器用于执行存储器中的代码，当代码被执行时，处理器用于执行如上任一所述的车轴统计方法。
在上述实施例中，可以全部或部分地通过软件、硬件、固件或者其任意组合来实现。当使用软件实现时，可以全部或部分地以计算机程序产品的形式实现。计算机程序产品包括一 个或多个计算机指令。在计算机上加载和执行计算机程序指令时，全部或部分地产生按照本申请的流程或功能。计算机可以是通用计算机、专用计算机、计算机网络、或者其他可编程装置。计算机指令可以存储在计算机可读存储介质中，或者从一个计算机可读存储介质向另一个计算机可读存储介质传输，例如，计算机指令可以从一个网站站点、计算机、服务器或数据中心通过有线(例如同轴电缆、光纤、数字用户线)或无线(例如红外、无线、微波等)方式向另一个网站站点、计算机、服务器或数据中心进行传输。计算机可读存储介质可以是计算机能够存取的任何可用介质或者是包含一个或多个可用介质集成的服务器、数据中心等数据存储设备。可用介质可以是磁性介质，(例如，软盘、硬盘、磁带)、光介质(例如，DVD)、或者半导体介质(例如固态硬盘Solid State Disk)等。
本领域普通技术人员可以意识到，结合本文中所公开的实施例中描述的各方法步骤和模块，能够以软件、硬件、固件或者其任意组合来实现，为了清楚地说明硬件和软件的可互换性，在上述说明中已经按照功能一般性地描述了各实施例的步骤及组成。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。本领域普通技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本申请的范围。
本领域普通技术人员可以理解实现上述实施例的全部或部分步骤可以通过硬件来完成，也可以通过程序来指令相关的硬件完成，该程序可以存储于一种计算机可读存储介质中，上述提到的存储介质可以是只读存储器，磁盘或光盘等。
当使用软件实现时，可以全部或部分地以计算机程序产品的形式实现。该计算机程序产品包括一个或多个计算机程序指令。作为示例，本申请实施例的方法可以在机器可执行指令的上下文中被描述，机器可执行指令诸如包括在目标的真实或者虚拟处理器上的器件中执行的程序模块中。一般而言，程序模块包括例程、程序、库、对象、类、组件、数据结构等，其执行特定的任务或者实现特定的抽象数据结构。在各实施例中，程序模块的功能可以在所描述的程序模块之间合并或者分割。用于程序模块的机器可执行指令可以在本地或者分布式设备内执行。在分布式设备中，程序模块可以位于本地和远程存储介质二者中。
用于实现本申请实施例的方法的计算机程序代码可以用一种或多种编程语言编写。这些计算机程序代码可以提供给通用计算机、专用计算机或其他可编程的车轴统计装置的处理器，使得程序代码在被计算机或其他可编程的车轴统计装置执行的时候，引起在流程图和/或框图中规定的功能/操作被实施。程序代码可以完全在计算机上、部分在计算机上、作为独立的软件包、部分在计算机上且部分在远程计算机上或完全在远程计算机或服务器上执行。
在本申请实施例的上下文中，计算机程序代码或者相关数据可以由任意适当载体承载，以使得设备、装置或者处理器能够执行上文描述的各种处理和操作。载体的示例包括信号、计算机可读介质等等。
信号的示例可以包括电、光、无线电、声音或其它形式的传播信号，诸如载波、红外信号等。
机器可读介质可以是包含或存储用于或有关于指令执行系统、装置或设备的程序的任何有形介质。机器可读介质可以是机器可读信号介质或机器可读存储介质。机器可读介质可以包括但不限于电子的、磁的、光学的、电磁的、红外的或半导体系统、装置或设备，或其任 意合适的组合。机器可读存储介质的更详细示例包括带有一根或多根导线的电气连接、便携式计算机磁盘、硬盘、随机存储存取器(RAM)、只读存储器(ROM)、可擦除可编程只读存储器(EPROM或闪存)、光存储设备、磁存储设备，或其任意合适的组合。
所属领域的技术人员可以清楚地了解到，为了描述的方便和简洁，上述描述的系统、设备和模块的具体工作过程，可以参见前述方法实施例中的对应过程，在此不再赘述。
在本申请所提供的几个实施例中，应该理解到，所揭露的系统、设备和方法，可以通过其它的方式实现。例如，以上所描述的设备实施例仅仅是示意性的，例如，该模块的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个模块或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另外，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口、设备或模块的间接耦合或通信连接，也可以是电的，机械的或其它的形式连接。
该作为分离部件说明的模块可以是或者也可以不是物理上分开的，作为模块显示的部件可以是或者也可以不是物理模块，即可以位于一个地方，或者也可以分布到多个网络模块上。可以根据实际的需要选择其中的部分或者全部模块来实现本申请实施例方案的目的。
另外，在本申请各个实施例中的各功能模块可以集成在一个处理模块中，也可以是各个模块单独物理存在，也可以是两个或两个以上模块集成在一个模块中。上述集成的模块既可以采用硬件的形式实现，也可以采用软件功能模块的形式实现。
该集成的模块如果以软件功能模块的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读存储介质中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分，或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本申请各个实施例中方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(read-only memory，ROM)、随机存取存储器(random access memory，RAM)、磁碟或者光盘等各种可以存储程序代码的介质。
本申请中术语“第一”“第二”等字样用于对作用和功能基本相同的相同项或相似项进行区分，应理解，“第一”、“第二”、“第n”之间不具有逻辑或时序上的依赖关系，也不对数量和执行顺序进行限定。还应理解，尽管以下描述使用术语第一、第二等来描述各种元素，但这些元素不应受术语的限制。这些术语只是用于将一元素与另一元素区别分开。例如，在不脱离各种所述示例的范围的情况下，第一图像可以被称为第二图像，并且类似地，第二图像可以被称为第一图像。第一图像和第二图像都可以是图像，并且在某些情况下，可以是单独且不同的图像。
还应理解，在本申请的各个实施例中，各个过程的序号的大小并不意味着执行顺序的先后，各过程的执行顺序应以其功能和内在逻辑确定，而不应对本申请实施例的实施过程构成任何限定。
本申请中术语“至少一个”的含义是指一个或多个，本申请中术语“多个”的含义是指两个或两个以上，例如，多个第二报文是指两个或两个以上的第二报文。本文中术语“系统”和“网络”经常可互换使用。
应理解，在本文中对各种所述示例的描述中所使用的术语只是为了描述特定示例，而并非旨在进行限制。如在对各种所述示例的描述和所附权利要求书中所使用的那样，单数形式 “一个(“a”，“an”)”和“该”旨在也包括复数形式，除非上下文另外明确地指示。
还应理解，本文中所使用的术语“和/或”是指并且涵盖相关联的所列出的项目中的一个或多个项目的任何和全部可能的组合。术语“和/或”，是一种描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B这三种情况。另外，本申请中的字符“/”，一般表示前后关联对象是一种“或”的关系。
还应理解，术语“包括”(也称“includes”、“including”、“comprises”和/或“comprising”)当在本说明书中使用时指定存在所陈述的特征、整数、步骤、操作、元素、和/或部件，但是并不排除存在或添加一个或多个其他特征、整数、步骤、操作、元素、部件、和/或其分组。
还应理解，术语“若”和“如果”可被解释为意指“当...时”(“when”或“upon”)或“响应于确定”或“响应于检测到”。类似地，根据上下文，短语“若确定...”或“若检测到[所陈述的条件或事件]”可被解释为意指“在确定...时”或“响应于确定...”或“在检测到[所陈述的条件或事件]时”或“响应于检测到[所陈述的条件或事件]”。
应理解，根据A确定B并不意味着仅仅根据A确定B，还可以根据A和/或其它信息确定B。
还应理解，说明书通篇中提到的“一个实施例”、“一实施例”、“一种可能的实现方式”意味着与实施例或实现方式有关的特定特征、结构或特性包括在本申请的至少一个实施例中。因此，在整个说明书各处出现的“在一个实施例中”或“在一实施例中”、“一种可能的实现方式”未必一定指相同的实施例。此外，这些特定的特征、结构或特性可以任意适合的方式结合在一个或多个实施例中。
以上所述仅为本申请的示例性实施例，并不用以限制本申请，凡在本申请的原则之内，所作的任何修改、等同替换、改进等，均应包含在本申请的保护范围之内。

Claims (17)

  1. 一种车轴统计系统，其特征在于，包括处理系统与天线，所述天线被放置在被监测车道的目标位置处，使所述天线发射的电磁波波束覆盖所述车道上的任一车辆的至少一侧的车轮：
    所述处理系统，用于向所述天线发送射频信号；
    所述天线，用于接收所述处理系统发送的射频信号，基于所述射频信号向目标区域发射电磁波；
    所述天线，还用于接收所述电磁波返回的电磁回波，将所述电磁回波对应的回波信号发送至所述处理系统；
    所述处理系统，还用于接收所述天线发送的回波信号；基于所述回波信号确定车轴统计结果。
  2. 根据权利要求1所述的系统，其特征在于，所述处理系统，用于基于所述回波信号确定车辆信息和车轮信息；基于所述车轮信息与所述车辆信息确定车轴统计结果。
  3. 根据权利要求1或2所述的系统，其特征在于，所述处理系统，还用于基于所述回波信号确定车长信息。
  4. 根据权利要求3所述的系统，其特征在于，所述处理系统，还用于基于所述车轴统计结果与所述车长信息确定车型结果。
  5. 根据权利要求1-4任一所述的系统，其特征在于，所述处理系统，还用于基于所述回波信号确定车流量监测结果。
  6. 根据权利要求1-5任一所述的系统，其特征在于，所述处理系统包括发射机、接收机与处理机：
    所述发射机，用于向所述天线发送射频信号；
    所述接收机，用于接收所述天线发送的回波信号，将所述回波信号发送至所述处理机；
    所述处理机，用于接收所述接收机发送的回波信号；基于所述回波信号确定车轴统计结果。
  7. 根据权利要求6所述的系统，其特征在于，所述天线包括发射天线与接收天线：
    所述发射天线，用于接收所述发射机发送的射频信号，基于所述射频信号向目标区域发射电磁波；
    所述接收天线，用于接收所述电磁波返回的电磁回波，将所述电磁回波对应的回波信号发送至所述接收机。
  8. 根据权利要求7所述的系统，其特征在于，所述发射天线的阵元为多个，所述接收天线 的阵元为一个，多个发射天线的阵元与一个接收天线的阵元在车辆行驶方向上形成一收多发天线阵列；
    或者，所述发射天线的阵元为多个，所述接收天线的阵元为多个，多个发射天线的阵元与多个接收天线的阵元在车辆行驶方向上形成多收多发阵列；
    或者，所述发射天线的阵元为一个，所述接收天线的阵元为多个，一个发射天线的阵元与多个接收天线的阵元在车辆行驶方向上形成一发多收天线阵列。
  9. 根据权利要求1-8任一所述的系统，其特征在于，所述电磁波的波束在车辆行驶方向上的地面投影直径不大于50厘米。
  10. 一种车轴统计方法，其特征在于，所述方法由车轴统计系统中的处理系统执行，所述方法包括：
    接收所述车轴统计系统中的天线发送的回波信号；
    基于所述回波信号确定车轴统计结果。
  11. 根据权利要求10所述的方法，其特征在于，所述基于所述回波信号确定车轴统计结果，包括：
    基于所述回波信号确定车辆信息；基于所述回波信号确定车轮信息；
    基于所述车辆信息与所述车轮信息确定所述车轴统计结果。
  12. 根据权利要求10或11所述的方法，其特征在于，所述接收所述车轴统计系统中的天线发送的回波信号之后，还包括：
    基于所述回波信号确定车长信息。
  13. 根据权利要求10-12任一所述的方法，其特征在于，所述接收所述车轴统计系统中的天线发送的回波信号之后，还包括：
    基于所述回波信号确定车流量监测结果。
  14. 根据权利要求12所述的方法，其特征在于，所述基于所述回波信号确定车长信息之后，还包括：
    基于所述车轴统计结果与所述车长信息确定车型结果。
  15. 根据权利要求11所述的方法，其特征在于，所述基于所述回波信号确定车轮信息，包括：
    基于所述回波信号确定时频谱；
    基于所述时频谱进行轮轴检测确定所述车轮信息。
  16. 一种计算机可读存储介质，其特征在于，所述计算机可读存储介质中存储有至少一条指令，所述指令由处理器加载并执行以实现如权利要求10-15中任一所述的车轴统计方法。
  17. 一种计算机程序产品，其特征在于，所述计算机程序产品包括计算机程序/指令，所述计算机程序/指令被处理器执行，以使计算机实现权利要求10-15中任一所述的车轴统计方法。
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102750749A (zh) * 2012-07-13 2012-10-24 北京万集科技股份有限公司 一种基于整车称重的电子不停车收费系统
CN103529435A (zh) * 2012-07-06 2014-01-22 卡波施交通公司 用于检测车辆的车轮的方法
CN104851138A (zh) * 2015-05-25 2015-08-19 深圳市骄冠科技实业有限公司 一种基于具有通讯功能射频车牌的公路车辆计重与收费系统
US20150234042A1 (en) * 2014-02-19 2015-08-20 Kapsch Trafficcom Ag Device and method for detecting an axle of a vehicle
CN108267737A (zh) * 2016-12-30 2018-07-10 北京行易道科技有限公司 雷达

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103529435A (zh) * 2012-07-06 2014-01-22 卡波施交通公司 用于检测车辆的车轮的方法
CN102750749A (zh) * 2012-07-13 2012-10-24 北京万集科技股份有限公司 一种基于整车称重的电子不停车收费系统
US20150234042A1 (en) * 2014-02-19 2015-08-20 Kapsch Trafficcom Ag Device and method for detecting an axle of a vehicle
CN104851138A (zh) * 2015-05-25 2015-08-19 深圳市骄冠科技实业有限公司 一种基于具有通讯功能射频车牌的公路车辆计重与收费系统
CN108267737A (zh) * 2016-12-30 2018-07-10 北京行易道科技有限公司 雷达

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