CN111145369A - Switch scheduling method, vehicle charging method, industrial personal computer and vehicle charging system - Google Patents
Switch scheduling method, vehicle charging method, industrial personal computer and vehicle charging system Download PDFInfo
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Abstract
The invention relates to a switch scheduling method of an ETC roadside antenna, which comprises the following steps: acquiring an image to be detected, which is obtained by shooting at least one parking area in real time by a camera device; detecting the parking state of each parking area in the image to be detected in real time according to the deep learning neural network; if all parking areas corresponding to the ETC roadside antenna are converted into an idle state, sending a closing instruction to the ETC roadside antenna to enable the ETC roadside antenna to enter a sleep state or a shutdown state; if parking areas exist in each parking area corresponding to the ETC roadside antenna and are changed into occupied states, an opening instruction is sent to the ETC roadside antenna, and the ETC roadside antenna enters a working state. By implementing the switch scheduling method of the ETC roadside antenna, the invalid detection of the ETC roadside antenna is avoided to save electric quantity, and the load of the ETC roadside antenna is greatly reduced, so that the service life of the ETC roadside antenna is prolonged.
Description
Technical Field
A communication method applied to the traffic field, in particular to a switch scheduling method of an ETC roadside antenna, a vehicle charging method based on the ETC roadside antenna, an industrial personal computer and a vehicle charging system based on ETC.
Background
With the continuous development of smart traffic and smart cities, ETC applications are no longer limited to highway toll collection, route identification and other services, and have gradually spread to the construction of smart systems in urban life, such as smart parking lots, smart gas stations, smart charging stations and the like.
However, the application scenes such as the intelligent parking lot, the intelligent gas station and the intelligent charging field are non-high traffic flow areas, inestimable invalid detections can be brought by using the conventional ETC roadside antenna equipment in the application scenes, the invalid detections not only consume power, but also greatly increase the load of the ETC roadside antenna equipment, and therefore the service life of the ETC roadside antenna equipment is shortened.
Disclosure of Invention
The invention provides a switch scheduling method of an ETC (electronic toll collection) roadside antenna, a vehicle charging method based on the ETC roadside antenna, an industrial personal computer and a vehicle charging system based on ETC.
In a first aspect, a method for scheduling switches of ETC roadside antennas is provided, which is applied to an industrial personal computer, and the ETC roadside antennas correspond to at least one parking area, and includes:
acquiring an image to be detected, which is obtained by shooting at least one parking area in real time by a camera device;
detecting the parking state of each parking area in the image to be detected in real time according to a deep learning neural network;
if all parking areas corresponding to the ETC roadside antenna are converted into an idle state, sending a closing instruction to the ETC roadside antenna to enable the ETC roadside antenna to enter a sleep state or a shutdown state; and if parking areas exist in each parking area corresponding to the ETC roadside antenna and are converted into an occupied state, sending a starting instruction to the ETC roadside antenna so as to enable the ETC roadside antenna to enter a working state.
In a possible embodiment, detecting the parking state of each parking area in the image to be detected in real time according to a deep learning neural network includes:
according to the deep learning neural network, vehicle identification is carried out on the image to be detected, and if a vehicle exists in the image to be detected, position information Pc of the vehicle on the image to be detected is detected;
if the position information Pc of the vehicle on the image to be detected is matched with the position information Pp of the parking area on the image to be detected, determining that the parking area is in the occupied state; wherein the position information Pp of the parking area in the image to be detected is calibrated in advance.
In a possible embodiment, the acquiring of the to-be-detected image shot by the camera device in real time for at least one parking area specifically includes:
acquiring at least two frames of images to be detected, which are obtained by real-time shooting of at least one parking area by a camera device;
correspondingly, if the position information Pc of the vehicle on the image to be detected is matched with the position information Pp of the parking area on the image to be detected, it is determined that the parking area is in the occupied state, specifically:
and if the position information Pc of the vehicle on the at least two frames of images to be detected is matched with the position information Pp of the parking area on the images to be detected, and the time interval between the head frame and the tail frame of the at least two frames of images to be detected is greater than the preset time, determining that the parking area is in the occupied state.
The second aspect provides a vehicle charging method based on ETC, which is characterized in that the method is applied to an industrial personal computer and comprises the following steps:
according to the switch scheduling method of any one of the embodiments of the first aspect, the state of the ETC road-side antenna is determined, and if the ETC road-side antenna is in the operating state, and after the ETC road-side antenna reads the vehicle information of the ETC electronic tag of each vehicle in the radio frequency region, the vehicle information of the ETC electronic tag of each vehicle sent by the ETC road-side antenna is received;
matching the vehicle information of the target vehicle with the vehicle information of the ETC electronic tags of the vehicles to determine the target ETC electronic tags; the vehicle information of the target vehicle is obtained by identifying a vehicle image corresponding to a target parking area in the image to be detected, wherein the target parking area is a parking area in an occupied state;
and controlling the ETC roadside antenna to communicate with the target ETC electronic tag and deducting the fee.
In a possible embodiment, the vehicle information of the ETC electronic tag includes license plate information, and the vehicle information of the target vehicle is matched with the vehicle information of the ETC electronic tags of the respective vehicles, so as to determine the target ETC electronic tag, including:
and matching the license plate information of the target vehicle with the license plate information of the ETC electronic tags of all vehicles, and determining the ETC electronic tags in which the license plate information is the same as that of the target vehicle as the target ETC electronic tags.
In a possible embodiment, the ETC roadside antenna is a phased array antenna, the vehicle information of the ETC electronic tag includes vehicle position information, the vehicle information of the target vehicle is matched with the vehicle information of the ETC electronic tags of the respective vehicles, and determining the target ETC electronic tag includes:
and matching the position information of the target parking area in the image to be detected with the vehicle position information of the ETC electronic tags of each vehicle, and determining the ETC electronic tags in the position information range of the target parking area as the target electronic tags.
In a possible embodiment, before matching the position information of the target parking area in the image to be detected with the vehicle position information of the ETC electronic tags of the respective vehicles, the method further includes:
and converting the position information of the target parking area in the image to be detected and the vehicle position information of the ETC electronic tags of all vehicles into the same coordinate system.
In a possible embodiment, the vehicle information further includes license plate information, and after the target electronic tag is determined, before controlling the ETC roadside antenna to communicate with the target ETC electronic tag and deducting the fee, the method further includes:
checking whether the license plate information of the target vehicle is the same as that of the target electronic tag or not, if the checking is different, triggering an alarm and requesting manual checking;
correspondingly, control ETC roadside antenna with the communication of target ETC electronic tags and deduction are specifically:
and if the verification is the same, controlling the phased array antenna to communicate with the target ETC electronic tag and deducting the fee.
In a possible embodiment, the parking area is a refueling parking area or a charging parking area.
In a third aspect, a method for scheduling switches of an ETC roadside antenna is provided, which is applied to a phased array antenna, and includes:
when receiving a starting instruction sent by an industrial personal computer, entering a working state; when a closing instruction issued by the industrial personal computer is received, entering a dormant state or a shutdown state; the starting instruction is generated by the industrial personal computer under the condition that parking areas exist in the parking areas corresponding to the ETC roadside antenna and are in an occupied state, and the closing instruction is generated by the industrial personal computer under the condition that the parking areas corresponding to the ETC roadside antenna are in an idle state;
if the vehicle information is in the working state, reading the vehicle information of the ETC electronic tags of all vehicles in the radio frequency area, and sending the vehicle information of the ETC electronic tags of all vehicles to the industrial personal computer;
and after the industrial personal computer determines a target ETC electronic tag according to the vehicle information of the ETC electronic tags of the vehicles, the industrial personal computer communicates with the target ETC electronic tag and deducts fees.
In a fourth aspect, an industrial personal computer is provided, which includes a first processor and a first memory storing a computer program, where the first processor implements the steps of the method for scheduling switching of the ETC road-side antenna according to any one of the embodiments of the first aspect when executing the computer program stored in the first memory, and/or implements the steps of the method for charging based on the ETC according to any one of the embodiments of the second aspect.
In a fifth aspect, a phased array antenna is provided, which includes a second processor and a second memory storing a computer program, and is characterized in that the second processor implements the steps of the switch scheduling method for the ETC road-side antenna described in the third aspect when executing the computer program stored in the second memory.
In a sixth aspect, an ETC-based charging system is provided, including:
the camera device is used for shooting an image to be detected for at least one parking area in real time;
the phased array antenna described in the embodiment of the third aspect; and the number of the first and second groups,
the industrial personal computer in the fourth aspect embodiment.
In a possible embodiment, the radio frequency area of the phased array antenna covers the respective parking area.
In the embodiment of the invention, an industrial personal computer obtains an image to be detected, which is obtained by shooting by a camera device in real time aiming at least one parking area; detecting the parking state of each parking area in the image to be detected in real time according to the deep learning neural network; if all parking areas corresponding to the ETC roadside antenna are converted into an idle state, sending a closing instruction to the ETC roadside antenna to enable the ETC roadside antenna to enter a sleep state or a shutdown state; if parking areas exist in each parking area corresponding to the ETC roadside antenna and are changed into occupied states, an opening instruction is sent to the ETC roadside antenna, and the ETC roadside antenna enters a working state. By implementing the switch scheduling method of the ETC roadside antenna, the invalid detection of the ETC roadside antenna can be avoided to save electric quantity, and the load of the ETC roadside antenna is greatly reduced, so that the service life of the ETC roadside antenna is prolonged.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present disclosure, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
FIG. 1 is a schematic diagram of an intelligent fueling scenario provided by an embodiment of the present invention;
fig. 2 is a schematic flowchart of a method for scheduling switches of an ETC roadside antenna according to an embodiment of the present invention;
fig. 3 is a schematic flowchart of an ETC-based vehicle charging method according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of an industrial personal computer provided in an embodiment of the present invention;
FIG. 5 is a schematic diagram of a device structure of another industrial personal computer provided by the embodiment of the invention;
fig. 6 is a schematic diagram of a hardware structure of an industrial personal computer according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "including" and "having," and any variations thereof, in the description and claims of this invention and the above-described drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
In order to facilitate understanding of the embodiments of the present invention, the following describes application scenarios related to the embodiments of the present invention.
In a conventional scheme, even when no vehicle enters a gas station, an ETC roadside antenna can still keep an open working state to continuously detect whether a vehicle exists in a monitoring area, and the detection is invalid; moreover, for a vehicle passing a road vehicle without refueling or stopping near a gas station, because of being covered by an ETC roadside antenna signal, the ETC roadside antenna can perform frequent invalid communication interaction between ETC electronic tags of the vehicle passing the road or the stop, so that interference can be brought to detection of the ETC roadside antenna, and loss of the ETC electronic tags in the vehicle passing the road or the stop can be increased.
Referring to fig. 1, fig. 1 is a schematic diagram of an intelligent fueling scenario provided by an embodiment of the present invention. The embodiment of the invention arranges an indefinite number of cameras, ETC roadside antennas and an industrial personal computer in an intelligent refueling field. The system comprises an industrial personal computer, a camera device, a monitoring system and a monitoring system, wherein the camera device is responsible for shooting each parking area in an oil filling area in real time to obtain an image to be detected, and sending the obtained image to be detected to the industrial personal computer; the method comprises the steps that a deep learning neural network trained in advance in an industrial personal computer detects the parking state of each parking area in an image to be detected in real time; if all oil adding levels in the oil adding area are converted into an idle state, the industrial personal computer sends a closing instruction to the ETC roadside antenna so that the ETC roadside antenna enters a sleep state or a shutdown state; if one oil adding level of each oil adding level in the oil adding area is changed into an occupied state, the industrial personal computer sends a starting instruction to the ETC roadside antenna so that the ETC roadside antenna enters a working state. When the embodiment of the invention is applied to an oil filling scene, the invalid detection of the ETC roadside antenna can be avoided to save electric quantity, and the load of the ETC roadside antenna is greatly reduced, so that the service life of the ETC roadside antenna is prolonged.
The switch scheduling method for the ETC road-side antenna provided by the embodiment of the invention is described in detail below with reference to the accompanying drawings, and the method can avoid invalid detection of the ETC road-side antenna to save electric quantity, and greatly reduce the load of the ETC road-side antenna, thereby prolonging the service life of the ETC road-side antenna.
Referring to fig. 2, fig. 2 is a schematic flow chart of a method for scheduling switching of an ETC road-side antenna according to an embodiment of the present invention, where the method for scheduling switching of an ETC road-side antenna according to the embodiment is applied to an industrial personal computer, and includes the following steps.
S101, acquiring an image to be detected, which is obtained by shooting at least one parking area in real time by the camera device.
In this step, it is first explained that the scheme can be applied to a smart gas station, a smart charging station, and a smart parking lot, in each application scenario, the camera device and the ETC roadside antenna can be arranged according to actual requirements, specifically, for the camera device, each parking area may correspond to one camera device, or a plurality of parking areas may correspond to one camera device; for the ETC roadside antenna, each parking area can correspond to one ETC roadside antenna, and a plurality of parking areas can correspond to one ETC roadside antenna; for the correspondence between the camera and the ETC roadside antenna, the camera and the ETC roadside antenna may be in a one-to-one correspondence or in a correspondence with unequal numbers. The number and arrangement of the cameras and the ETC roadside antennas in the invention are related to the actual application scene, and the invention is not particularly limited.
And S102, detecting the parking state of each parking area in the image to be detected in real time according to the deep learning neural network.
In some embodiments, the deep learning neural network may be derived based on deep learning training. The deep learning neural network can be a convolutional neural network, and can be any type of neural network model such as LeNet, AlexNet, GoogLeNet, VGGNet, ResNet, and the like. Specifically, a large number of training images with parking area markers and vehicle markers can be input into the deep learning neural network for training until the obtained training times exceed a preset number and/or the recognition accuracy exceeds a preset threshold, so that the trained deep neural network is obtained.
In some embodiments, the deep learning neural network performs vehicle identification on the image to be detected, and if it is identified that a vehicle exists in the image to be detected, position information Pc of the vehicle on the image to be detected is obtained, where the position information Pc may be represented by coordinates of four vertices of a vehicle detection frame on the image to be detected, or may be represented by coordinates of a central point of the vehicle detection frame on the image to be detected. The position information Pp of each parking area in the image to be detected on the image is calibrated in advance, and can be marked manually or obtained by marking a deep learning neural network. The parking state of each parking area may be obtained by comparing the position information Pc of the vehicle with the position information Pp of the parking area by using a deep neural network, and specifically, if the position information Pc of the vehicle is within the range of the position information Pp of the parking area, or if the overlapping area of the position information Pc of the vehicle and the position information Pp of the parking area is greater than a preset range, that is, the overlapping area of the vehicle detection frame and the detection frame of the parking area is greater than a preset range, it is determined that the parking area is occupied by the vehicle.
In some embodiments, there may be a passing vehicle without refueling, charging, or parking purpose in any of the above scenarios. In the embodiment, if the vehicle is confirmed to exist in the first frame of image to be detected and the vehicle is located in the parking area, the vehicle is also confirmed to exist in the second frame of image to be detected and the vehicle is located in the parking area, and the parking area is confirmed to be in the occupied state only by confirming that the vehicle is located in the parking area and the interval of the two frames is more than the preset time through at least two frames of images to be detected. By implementing the embodiment, unnecessary awakening of the ETC roadside antenna by the passerby car can be eliminated.
S103, if all parking areas corresponding to the ETC roadside antenna are converted into an idle state, sending a closing instruction to the ETC roadside antenna to enable the ETC roadside antenna to enter a sleep state or a shutdown state; if parking areas exist in each parking area corresponding to the ETC roadside antenna and are changed into occupied states, an opening instruction is sent to the ETC roadside antenna, and the ETC roadside antenna enters a working state.
In some embodiments, if each parking area corresponding to the ETC roadside antenna is changed from an occupied state to an idle state, or a part of the parking areas is changed from the occupied state to the idle state, and the other part of the parking areas keeps the idle state, a closing instruction is sent to the ETC roadside antenna so that the ETC roadside antenna enters a sleep state or a shutdown state; if the parking areas in the parking areas corresponding to the ETC roadside antenna are changed into occupied states from idle states, or the parking areas are in the occupied states, an opening instruction is sent to the ETC roadside antenna, and the ETC roadside antenna is enabled to enter a working state.
In other embodiments, if each parking area corresponding to the ETC roadside antenna is in an idle state, a closing instruction is sent to the ETC roadside antenna so that the ETC roadside antenna enters a sleep state or a shutdown state, and if the ETC roadside antenna is in the closed state or the sleep state before receiving the closing instruction, the ETC roadside antenna filters the closing instruction; if parking areas exist in each parking area corresponding to the ETC roadside antenna and are in an occupied state, an opening instruction is sent to the ETC roadside antenna so that the ETC roadside antenna enters a working state, and if the ETC roadside antenna is in the working state before receiving the opening instruction, the ETC roadside antenna can also filter the opening instruction.
In the embodiment of the invention, an industrial personal computer obtains an image to be detected, which is obtained by shooting by a camera device in real time aiming at least one parking area; detecting the parking state of each parking area in the image to be detected in real time according to the deep learning neural network; if all parking areas corresponding to the ETC roadside antenna are converted into an idle state, sending a closing instruction to the ETC roadside antenna to enable the ETC roadside antenna to enter a sleep state or a shutdown state; if parking areas exist in each parking area corresponding to the ETC roadside antenna and are changed into occupied states, an opening instruction is sent to the ETC roadside antenna, and the ETC roadside antenna enters a working state. By implementing the switch scheduling method of the ETC roadside antenna, the invalid detection of the ETC roadside antenna can be avoided to save electric quantity, and the load of the ETC roadside antenna is greatly reduced, so that the service life of the ETC roadside antenna is prolonged.
Referring to fig. 3, fig. 3 is a vehicle toll collection method based on ETC according to an embodiment of the present invention, where the vehicle toll collection method based on ETC according to the embodiment is applied to an industrial personal computer, and the method adopts the switch scheduling method of the ETC roadside antenna according to the embodiment of the method in fig. 2, and the method includes, but is not limited to, the following steps:
s201, acquiring an image to be detected, which is obtained by shooting at least one parking area in real time by the camera device.
S202, detecting the parking state of each parking area in the image to be detected in real time according to the deep learning neural network.
S203, if each parking area corresponding to the ETC roadside antenna is converted into an idle state, sending a closing instruction to the ETC roadside antenna so that the ETC roadside antenna enters a sleep state or a shutdown state; if parking areas exist in each parking area corresponding to the ETC roadside antenna and are changed into occupied states, an opening instruction is sent to the ETC roadside antenna, and the ETC roadside antenna enters a working state.
Steps S201 to S202 may refer to the description in the method embodiment of fig. 2.
And S204, if the ETC roadside antenna is in the working state, after the ETC roadside antenna reads the vehicle information of the ETC electronic tags of the vehicles in the monitoring area, receiving the vehicle information of the ETC electronic tags of the vehicles, which is transmitted by the ETC roadside antenna.
In some embodiments, the vehicle information of the ETC electronic tag may include license plate information, and if the ETC roadside antenna is a phased array antenna, the vehicle information of the ETC electronic tag may further include vehicle position information. The license plate information of the ETC electronic tag is obtained by reading the ETC roadside antenna from the ETC electronic tag, and the vehicle position information of the ETC electronic tag is obtained by calculating after the phased array antenna is communicated with the ETC electronic tag.
S205, matching the vehicle information of the target vehicle with the vehicle information of the ETC electronic tags of the vehicles, and determining the target ETC electronic tags.
In the embodiment of the invention, the vehicle information of the target vehicle is obtained by the deep neural network from the vehicle image corresponding to the target parking area in the image to be detected, and the target parking area is the parking area in an occupied state.
In some embodiments, the vehicle information of the target vehicle may be license plate information, and specifically, the license plate information may be obtained by intercepting, by the deep learning neural network, a vehicle image corresponding to the target parking area from the image to be detected, and then recognizing the vehicle image. And matching the license plate information of the target vehicle with the license plate information of the ETC electronic tags of all vehicles, and determining the ETC electronic tags which are the same as the license plate information of the target vehicle as the target ETC electronic tags.
In some embodiments, the ETC roadside antenna is a phased array antenna, and the vehicle information of the target vehicle may be vehicle position information, and in this embodiment, the deep learning neural network matches the position information of the target parking area in the image to be detected with the vehicle position information of the ETC electronic tags of the respective vehicles acquired by the phased array antenna, and determines the ETC electronic tags located within the position information range of the target parking area as the target electronic tags. The vehicle position information of the ETC electronic tag acquired by the phased array antenna is position coordinates in a world coordinate system, the vehicle position information of the target vehicle acquired by the deep learning neural network is position coordinates in an image coordinate system, and the two coordinate systems are different and cannot be directly compared with each other. Therefore, before the position information of the target parking area in the image to be detected is matched with the vehicle position information of the ETC electronic tag of each vehicle, the position information of the target parking area in the image to be detected and the vehicle position information of the ETC electronic tag of each vehicle are also converted into the same coordinate system.
In the embodiment that the phased array antenna is used as the ETC roadside antenna, after the target electronic tag is determined, whether license plate information of a target vehicle identified from the image to be detected by the deep learning neural network is the same as license plate information of the target electronic tag or not is checked, if the license plate information is different from the license plate information of the target electronic tag, an alarm is triggered, and manual checking is requested; and only under the condition of the same check, the industrial personal computer controls the phased array antenna to communicate with the target ETC electronic tag and deduct the fee.
And S206, controlling the ETC roadside antenna to communicate with the target ETC electronic tag and deducting the fee.
The embodiment of the invention can be applied to application scenes with charging requirements, such as intelligent refueling scenes, and after industrial control obtains the vehicle information of the target ETC electronic tag through the steps S201 to S205, if the vehicle information is the intelligent refueling scene, the vehicle information of the target ETC electronic tag is bound with the refueling information; and after the fuel filling cost is calculated according to the fuel filling information, controlling an ETC roadside antenna to deduct the fee of the target ETC electronic tag. In another embodiment, the intelligent refueling scene further comprises a display, the display is connected with an industrial personal computer, and the industrial personal computer can further display the vehicle information, the refueling information and the refueling cost of the target ETC electronic tag on the display. Implement this embodiment, detain money through the ETC is automatic, realize the noninductive payment of vehicle, refuel fast to through the display show with refuel relevant necessary information, can facilitate for staff, the car owner of filling station, improve the car owner and refuel and experience.
In the above embodiment, if the smart refueling scene is applied, the parking area is a refueling parking area, and if the smart charging scene is applied, the parking area is a charging parking area.
The embodiment of the invention is applied to a smart refueling scene or a smart charging scene, and the ETC roadside antenna is started only after a vehicle entering a parking area is determined to be a vehicle with a refueling requirement or a vehicle with a charging requirement by an industrial personal computer. In addition, in the embodiment of the invention, the vehicle information obtained from the image to be detected according to the deep learning neural network and the vehicle information of the ETC electronic tag read by the ETC roadside antenna are combined, so that the speed and the accuracy of determining the target vehicle from a plurality of vehicles are improved.
Fig. 4 is a schematic structural diagram of an industrial personal computer provided in an embodiment of the present invention, where the industrial personal computer 400 includes:
and the monitoring data acquisition module 401 is configured to acquire an image to be detected, which is obtained by the camera device by shooting at least one parking area in real time.
And the vehicle detection and parking area state detection module 402 is configured to detect the parking state of each parking area in the image to be detected in real time according to the deep learning neural network.
The ETC roadside antenna switch control module 403 is configured to send a closing instruction to the ETC roadside antenna if each parking area corresponding to the ETC roadside antenna is converted into an idle state, so that the ETC roadside antenna enters a sleep state or a shutdown state; and if parking areas exist in each parking area corresponding to the ETC roadside antenna and are converted into an occupied state, sending a starting instruction to the ETC roadside antenna so as to enable the ETC roadside antenna to enter a working state.
In some embodiments, the vehicle detection and parking area state detection module 402 is further configured to perform vehicle identification on the image to be detected according to the deep learning neural network, and detect position information Pc of the vehicle on the image to be detected if the image to be detected has a vehicle; if the position information Pc of the vehicle on the image to be detected is matched with the position information Pp of the parking area on the image to be detected, determining that the parking area is in the occupied state; wherein the position information Pp of the parking area in the image to be detected is calibrated in advance.
In some embodiments, the vehicle detection and parking area status detection module 402 is further configured to obtain at least two frames of images to be detected, which are obtained by a camera device in real time for at least one parking area; and if the position information Pc of the vehicle on the at least two frames of images to be detected is matched with the position information Pp of the parking area on the images to be detected, and the time interval between the head frame and the tail frame of the at least two frames of images to be detected is greater than the preset time, determining that the parking area is in the occupied state.
In some embodiments, the functions or modules included in the industrial personal computer device provided in the embodiments of the present invention may be used to execute the method described in the embodiment of the method in fig. 2, and specific implementation thereof may refer to the implementation description of the method in fig. 2, and for brevity, details are not described here again.
Fig. 5 is a schematic device structure diagram of another industrial personal computer provided in an embodiment of the present invention, where the industrial personal computer 500 includes:
the monitoring data acquisition module 501, the vehicle detection and parking area state detection module 502, and the ETC roadside antenna switch control module 503 are the same as those in the industrial personal computer device shown in fig. 4, and are not described herein again for brevity.
And the license plate recognition module 507 is configured to recognize vehicle information of the target vehicle from a vehicle image corresponding to a target parking area in the image to be detected, where the target parking area is a parking area in an occupied state.
And the ETC electronic tag screening module 508 is used for matching the vehicle information of the target vehicle with the vehicle information of the ETC electronic tags of all vehicles to determine the target ETC electronic tags.
The ETC electronic tag screening module 508 is specifically configured to match license plate information of the target vehicle with license plate information of the ETC electronic tags of each vehicle, and determine an ETC electronic tag that is the same as the license plate information of the target vehicle as the target ETC electronic tag.
And the ETC electronic tag positioning module 504 is used for matching the position information of the target parking area in the image to be detected with the vehicle position information of the ETC electronic tags of all vehicles and determining the ETC electronic tags in the position information range of the target parking area as the target electronic tags. The ETC electronic tag positioning module 504 is further configured to convert, before matching, the position information of the target parking area in the image to be detected and the vehicle position information of the ETC electronic tags of the respective vehicles into the same coordinate system.
And a charging module 505 for controlling the ETC road side antenna to communicate with the target ETC electronic tag and to deduct the fee.
In some embodiments, the functions or modules included in the industrial personal computer device provided in the embodiments of the present invention may be used to execute the method described in the method embodiment in fig. 3, and specific implementation thereof may refer to the implementation description of the method in fig. 3, and for brevity, details are not described here again.
FIG. 6 is a block diagram of a hardware structure of an industrial personal computer according to an embodiment of the present invention. The industrial computer may be an industrial computer installed near the camera and the ETC roadside antenna. Specifically, this industrial computer includes: comprising a processor 601, one or more input interfaces 602, one or more output interfaces 603, and a memory 604, wherein the memory 604 is configured to store a computer program comprising program instructions, and wherein the processor 601 is configured to invoke the program instructions to perform any of the methods and steps of the method embodiments of fig. 2, and/or fig. 3.
The processor 601, the one or more input interfaces 602, the one or more output interfaces 603, and the memory 604 are connected by a bus 605. The memory 604 is used for storing instructions, the processor 601 is used for executing the instructions stored in the memory 604, the input interface 602 is used for receiving data, for example, receiving an image to be detected obtained by real-time shooting by the camera device, and the output interface 603 is used for outputting data, for example, sending an opening instruction or a closing instruction to an ETC roadside antenna.
It should be understood that in the embodiments of the present disclosure, the Processor 601 may be a Central Processing Unit (CPU), and the Processor may be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 604 may include both read-only memory and random access memory, and provides instructions and data to the processor 601. A portion of the memory 604 may also include non-volatile random access memory. For example, the memory 604 may also store information of the interface type.
In some implementation manners, the above components of the industrial personal computer described in the embodiments of the present disclosure may be used to execute any method step in fig. 2 and/or the method embodiment of fig. 3, and are not described herein again for brevity.
In an embodiment of the present invention, there is also provided an ETC-based vehicle toll collection system, including: the system comprises one or more cameras, one or more ETC roadside antennas, and an industrial personal computer. The system comprises a camera device, a storage device and a control device, wherein the camera device is used for shooting an image to be detected for at least one parking area in real time; the industrial personal computer is described in the embodiment of the device in the figure 5; the ETC roadside antenna is used for receiving an opening or closing instruction sent by the industrial personal computer and reading vehicle information of the ETC electronic tag, wherein the opening instruction is generated by the industrial personal computer under the condition that parking areas exist in each parking area corresponding to the ETC roadside antenna and are in an occupied state, and the closing instruction is generated by the industrial personal computer under the condition that each parking area corresponding to the ETC roadside antenna is in an idle state; if the vehicle information is in the working state, reading the vehicle information of the ETC electronic tag of each vehicle in the radio frequency area of the ETC roadside antenna, and sending the vehicle information of the ETC electronic tag of each vehicle to the industrial personal computer; after the industrial personal computer determines the target ETC electronic tag according to the vehicle information of the ETC electronic tag of each vehicle, the industrial personal computer communicates with the target ETC electronic tag and deducts fees. The interaction mode between the devices in the system may refer to the description of the above embodiments, and for brevity, the description is omitted here.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (11)
1. The utility model provides a switch scheduling method of ETC roadside antenna which characterized in that is applied to the industrial computer, ETC roadside antenna corresponds at least one parking area, includes:
acquiring an image to be detected, which is obtained by shooting at least one parking area in real time by a camera device;
detecting the parking state of each parking area in the image to be detected in real time according to a deep learning neural network;
if all parking areas corresponding to the ETC roadside antenna are converted into an idle state, sending a closing instruction to the ETC roadside antenna to enable the ETC roadside antenna to enter a sleep state or a shutdown state; and if parking areas exist in each parking area corresponding to the ETC roadside antenna and are converted into an occupied state, sending a starting instruction to the ETC roadside antenna so as to enable the ETC roadside antenna to enter a working state.
2. The method of claim 1, wherein detecting the parking status of each parking area in the image to be detected in real time according to a deep learning neural network comprises:
according to the deep learning neural network, vehicle identification is carried out on the image to be detected, and if a vehicle exists in the image to be detected, position information Pc of the vehicle on the image to be detected is detected;
if the position information Pc of the vehicle on the image to be detected is matched with the position information Pp of the parking area on the image to be detected, determining that the parking area is in the occupied state; wherein the position information Pp of the parking area in the image to be detected is calibrated in advance.
3. The method according to claim 2, characterized in that the image to be detected is obtained by the camera device in real time for at least one parking area, specifically:
acquiring at least two frames of images to be detected, which are obtained by real-time shooting of at least one parking area by a camera device;
correspondingly, if the position information Pc of the vehicle on the image to be detected is matched with the position information Pp of the parking area on the image to be detected, it is determined that the parking area is in the occupied state, specifically:
and if the position information Pc of the vehicle on the at least two frames of images to be detected is matched with the position information Pp of the parking area on the images to be detected, and the time interval between the head frame and the tail frame of the at least two frames of images to be detected is greater than the preset time, determining that the parking area is in the occupied state.
4. The utility model provides a vehicle charging method based on ETC, its characterized in that is applied to the industrial computer, includes:
the switch scheduling method according to any one of claims 1 to 3, wherein the state of the ETC roadside antenna is determined, and if the ETC roadside antenna is in an operating state, and after the ETC roadside antenna reads vehicle information of an ETC electronic tag of each vehicle in a radio frequency region, the vehicle information of the ETC electronic tag of each vehicle transmitted by the ETC roadside antenna is received;
matching the vehicle information of the target vehicle with the vehicle information of the ETC electronic tags of the vehicles to determine the target ETC electronic tags; the vehicle information of the target vehicle is obtained by identifying a vehicle image corresponding to a target parking area in the image to be detected, wherein the target parking area is a parking area in an occupied state;
and controlling the ETC roadside antenna to communicate with the target ETC electronic tag and deducting the fee.
5. The method according to claim 4, wherein the vehicle information of the ETC electronic tag includes license plate information, and the matching of the vehicle information of the target vehicle with the vehicle information of the ETC electronic tags of the respective vehicles determines the target ETC electronic tag, including:
and matching the license plate information of the target vehicle with the license plate information of the ETC electronic tags of all vehicles, and determining the ETC electronic tags in which the license plate information is the same as that of the target vehicle as the target ETC electronic tags.
6. The method according to claim 4, wherein the ETC roadside antenna is a phased array antenna, the vehicle information of the ETC electronic tag includes vehicle position information, the vehicle information of the target vehicle is matched with the vehicle information of the ETC electronic tag of each vehicle, and the determining of the target ETC electronic tag includes:
and matching the position information of the target parking area in the image to be detected with the vehicle position information of the ETC electronic tags of each vehicle, and determining the ETC electronic tags in the position information range of the target parking area as the target electronic tags.
7. The method according to claim 6, wherein before matching the position information of the target parking area in the image to be detected with the vehicle position information of the ETC electronic tag of each vehicle, the method further comprises:
and converting the position information of the target parking area in the image to be detected and the vehicle position information of the ETC electronic tags of all vehicles into the same coordinate system.
8. The method according to claim 7, wherein the vehicle information of the ETC electronic tag further includes license plate information, and after determining the target electronic tag, before controlling the ETC roadside antenna to communicate with the target ETC electronic tag and deduct fees, the method further comprises:
checking whether the license plate information of the target vehicle is the same as that of the target electronic tag or not, if the checking is different, triggering an alarm and requesting manual checking;
correspondingly, control ETC roadside antenna with the communication of target ETC electronic tags and deduction are specifically:
and if the verification is the same, controlling the phased array antenna to communicate with the target ETC electronic tag and deducting the fee.
9. The method of claim 4, wherein the parking area is a refueling parking area or a charging parking area.
10. An industrial personal computer comprising a first processor and a first memory storing a computer program, characterized in that the first processor implements the steps of the method for scheduling switching of the ETC roadside antenna according to any one of claims 1 to 3 and/or implements the steps of the method for toll collection based on ETC according to any one of claims 4 to 9 when executing the computer program stored in the first memory.
11. An ETC-based vehicle toll collection system, comprising:
an industrial personal computer of claim 10;
the camera device is used for shooting an image to be detected for at least one parking area in real time;
the phased array antenna is used for starting or keeping a working state when receiving a starting instruction sent by the industrial personal computer; when a closing instruction issued by the industrial personal computer is received, the industrial personal computer is kept or enters a dormant state or a shutdown state; the starting instruction is generated by the industrial personal computer under the condition that parking areas exist in the parking areas corresponding to the ETC roadside antenna and are in an occupied state, and the closing instruction is generated by the industrial personal computer under the condition that the parking areas corresponding to the ETC roadside antenna are in an idle state;
if the vehicle information is in the working state, reading the vehicle information of the ETC electronic tags of all vehicles in the radio frequency area, and sending the vehicle information of the ETC electronic tags of all vehicles to the industrial personal computer;
and after the industrial personal computer determines a target ETC electronic tag according to the vehicle information of the ETC electronic tags of the vehicles, the industrial personal computer communicates with the target ETC electronic tag and deducts fees.
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| CN201911414889.7A CN111145369A (en) | 2019-12-31 | 2019-12-31 | Switch scheduling method, vehicle charging method, industrial personal computer and vehicle charging system |
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| CN201911414889.7A CN111145369A (en) | 2019-12-31 | 2019-12-31 | Switch scheduling method, vehicle charging method, industrial personal computer and vehicle charging system |
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