CN113053101A - Overweight refined monitoring system and method based on wireless communication - Google Patents
Overweight refined monitoring system and method based on wireless communication Download PDFInfo
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- CN113053101A CN113053101A CN202011274167.9A CN202011274167A CN113053101A CN 113053101 A CN113053101 A CN 113053101A CN 202011274167 A CN202011274167 A CN 202011274167A CN 113053101 A CN113053101 A CN 113053101A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/02—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing wheeled or rolling bodies, e.g. vehicles
- G01G19/03—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing wheeled or rolling bodies, e.g. vehicles for weighing during motion
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/015—Detecting movement of traffic to be counted or controlled with provision for distinguishing between two or more types of vehicles, e.g. between motor-cars and cycles
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/02—Detecting movement of traffic to be counted or controlled using treadles built into the road
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/042—Detecting movement of traffic to be counted or controlled using inductive or magnetic detectors
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Abstract
The invention relates to an overweight refined monitoring system based on wireless communication, which comprises: the field induction coil is buried under the ground in front of the bridge and used for sending a first induction signal when inducing that a vehicle enters; the total amount detection mechanism is used for starting weight detection on the vehicle above the total amount detection mechanism to obtain corresponding real-time vehicle body weight when the first sensing signal is received; and the railing driving device is used for driving the railing to block the opening of the bridge when the received real-time vehicle body weight exceeds the weight limit value of the bridge. The invention also relates to an overweight fine monitoring method based on wireless communication. The overweight fine monitoring system and method based on wireless communication are wide in application and convenient to manage. Due to the fact that the vehicle about to enter the bridge can be subjected to fine monitoring operation based on the load weight of the vehicle type, the overweight load scenes of different types of vehicles can be effectively identified.
Description
Technical Field
The invention relates to the field of overweight monitoring, in particular to an overweight refined monitoring system and method based on wireless communication.
Background
The overweight of the vehicle refers to the condition that a transport vehicle which actually loads goods with the mass exceeding the approved loading mass runs on a road. Each vehicle produced by an automobile manufacturing enterprise gives specific quality parameters of the vehicle according to national standard regulations and product design requirements, wherein the specific quality parameters comprise the service quality, the total quality, the axle load quality and the like. The public security traffic management department checks the loading quality according to the national standard and the technical condition of the actual vehicle, and is used for vehicle registration, registration management and operation management.
The limit value over which the vehicle is overweight is for the vehicle, in particular the load-bearing capacity of the vehicle structure. The limitation is mass in tons. The public security traffic control department determines the carrying quality of the vehicle, and the carrying quality is used as a limit value of the carrying quality in vehicle operation, and mainly from the aspects of automobile performance and driving safety, the public security traffic control department ensures various dynamic performances and carrying performances of the vehicle, prevents traffic accidents caused by vehicle reasons, and protects the safety of lives and properties of people.
Because the overweight of the vehicle is the transportation exceeding the rated load of the automobile and the overweight of the goods, the reinforcing and reconstruction of old bridges and certain line sections with low bearing grade are needed, the reinforcing and reconstruction cost of the lines and bridges is high sometimes, and the running speed of the overweight goods is low, so the normal passing capacity of roads is often influenced, the normal transportation order of the roads is disturbed, and the influence is generated on the operation of the roads, particularly high-grade roads. In summary, the requirement of the road and transport sector for overweight vehicles is extremely high, and the costs required for this are also enormous.
Disclosure of Invention
In order to solve the technical problems in the related art, the invention provides an overweight fine monitoring system and method based on wireless communication, which can perform fine monitoring operation based on the load weight of the vehicle type on the vehicles about to enter a bridge, so that overweight scenes of the vehicles of different types can be effectively identified.
Therefore, the invention at least needs to have the following two key points:
(1) analyzing the load conditions of different types of vehicles by adopting a targeted fine load detection mechanism so as to wirelessly send an overload signal to a remote traffic management center server when the real-time load weight of the current type of vehicle exceeds the maximum load weight corresponding to the current vehicle type;
(2) the total amount detection mechanism is introduced to start the weight detection of the vehicle above the total amount detection mechanism only when the vehicle is judged to enter, so that the local power loss is effectively reduced.
According to an aspect of the present invention, there is provided a system for monitoring overweight refinement based on wireless communication, the system comprising:
the field induction coil is buried under the ground in front of the bridge and used for sending a first induction signal when sensing that a vehicle enters, and otherwise, sending a second induction signal;
the total amount detection mechanism is arranged between the field induction coil and the bridge, is connected with the field induction coil, and is used for exiting from the sleep mode to start the weight detection of the vehicle above the field induction coil when receiving the first induction signal so as to obtain the corresponding real-time vehicle body weight;
the railing driving device is connected with the total amount detection mechanism and used for driving the railing to seal the opening of the bridge when the received real-time vehicle body weight exceeds the weight limit value of the bridge;
the total amount detection mechanism is further used for stopping the weight detection of the vehicle above the total amount detection mechanism when the second sensing signal is received so as to enter a sleep mode;
the dot matrix video equipment is arranged above the total amount detection mechanism and used for carrying out video recording operation on the position of the total amount detection mechanism so as to obtain an instant bridge image corresponding to the current moment;
the gamma correction mechanism is connected with the dot matrix video equipment and is used for executing gamma correction processing on the received instant on-bridge image so as to obtain a corresponding on-site corrected image;
the type identification device is connected with the gamma correction mechanism and is used for carrying out type identification on the vehicle objects in the field correction image based on the appearance imaging characteristics of different types of vehicles to obtain corresponding upper bridge vehicle types;
the big data storage network element is arranged at a big data service network end and used for storing the delivery weight of each type of vehicle;
the data analysis mechanism is respectively connected with the type identification equipment and the big data storage network element and is used for retrieving the delivery weight corresponding to the type of the upper bridge vehicle from the big data storage network element to be output as the real-time delivery weight;
the load identification equipment is respectively connected with the total amount detection mechanism and the data analysis mechanism and is used for subtracting the real-time delivery weight from the real-time vehicle body weight to obtain a real-time load weight;
the abnormity warning mechanism is connected with a far-end traffic management center server through a time division duplex communication network link, is also respectively connected with the load identification equipment and the type identification equipment, and is used for wirelessly sending an overload signal to the far-end traffic management center server when the received real-time load weight exceeds the maximum load weight corresponding to the type of the upper bridge vehicle;
the abnormal alarming mechanism is also used for sending the field correction image to the traffic management center server while sending the overload signal.
According to another aspect of the present invention, there is also provided a method for monitoring overweight refinement based on wireless communication, the method including:
the method comprises the following steps that a field induction coil is used, is buried under the ground in front of a bridge and is used for sending a first induction signal when a vehicle is induced to enter, and otherwise, sending a second induction signal;
the total use amount detection mechanism is arranged between the field induction coil and the bridge, is connected with the field induction coil and is used for exiting from the sleep mode to start the weight detection of the vehicle above the field induction coil when receiving the first induction signal so as to obtain the corresponding real-time vehicle body weight;
the railing driving device is connected with the total amount detection mechanism and used for driving the railing to seal the opening of the bridge when the received real-time vehicle body weight exceeds the weight limit value of the bridge;
the total amount detection mechanism is further used for stopping the weight detection of the vehicle above the total amount detection mechanism when the second sensing signal is received so as to enter a sleep mode;
using dot matrix video equipment, arranged above the total amount detection mechanism, for carrying out video recording operation on the position of the total amount detection mechanism to obtain an instant bridge image corresponding to the current moment;
the gamma correction mechanism is connected with the dot matrix video equipment and used for executing gamma correction processing on the received instant bridge-crossing image so as to obtain a corresponding field correction image;
using a type recognition device connected with the gamma correction mechanism and used for carrying out type recognition on vehicle objects in the field correction image based on the appearance imaging characteristics of different types of vehicles to obtain corresponding upper bridge vehicle types;
the big data storage network element is arranged at a big data service network end and used for storing the delivery weight of each type of vehicle;
a data analysis mechanism is used, connected with the type identification device and the big data storage network element respectively, and used for retrieving the delivery weight corresponding to the type of the upper bridge vehicle from the big data storage network element to output as the real-time delivery weight;
the load identification equipment is respectively connected with the total amount detection mechanism and the data analysis mechanism and is used for subtracting the real-time delivery weight from the real-time vehicle body weight to obtain a real-time load weight;
an abnormity warning mechanism is used, is connected with a remote traffic management center server through a time division duplex communication network link, is also respectively connected with the load identification equipment and the type identification equipment, and is used for wirelessly sending an overload signal to the remote traffic management center server when the received real-time load weight exceeds the maximum load weight corresponding to the type of the upper bridge vehicle;
the abnormal alarming mechanism is also used for sending the field correction image to the traffic management center server while sending the overload signal.
The overweight fine monitoring system and method based on wireless communication are wide in application and convenient to manage. Due to the fact that the vehicle about to enter the bridge can be subjected to fine monitoring operation based on the load weight of the vehicle type, the overweight load scenes of different types of vehicles can be effectively identified.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a scene schematic diagram of a bridge environment in which a system and a method for monitoring overweight refinement based on wireless communication are shown according to an embodiment of the present invention.
Detailed Description
Embodiments of the system and method for monitoring overweight conditions based on wireless communication according to the present invention will be described in detail with reference to the accompanying drawings.
Wireless communication refers to long-distance transmission communication between a plurality of nodes without propagation via conductors or cables, and can be performed by radio, radio and the like.
Wireless communication includes a variety of stationary, mobile, and portable applications such as two-way radios, cell phones, personal digital assistants, and wireless networks. Other examples of wireless radio communication are GPS, garage door remote control, wireless mouse, etc.
Most wireless communication technologies use radio, including Wi-fi, which is only a few meters away, and also include deep space networks, which communicate with the seaman number 1, and which are more than a few million kilometers away. However, some wireless communication technologies do not use radio, but use other electromagnetic wave wireless technologies, such as light, magnetic field, electric field, etc.
Wireless data transmission is an essential part of mobile computing. There are many technologies available, the difference being availability, coverage and performance in the area, and in some cases, the user must be able to deploy multiple wiring patterns and switch between different modes. To simplify the time spent by the user, several connections can be handled as a single secured virtual network using connection management software, or using MVPN.
In the prior art, although some physical detection mechanisms or visual detection mechanisms for detecting the overweight of the vehicle load exist, the overweight numerical ranges of the vehicles with different types are different, fine monitoring for the overweight of the vehicles with different types cannot be achieved in the prior art, a special monitoring application place is also lacked, meanwhile, the vehicle total amount detection is carried out uninterruptedly in the prior art, and the power resource loss is high.
In order to overcome the defects, the invention builds an overweight refined monitoring system and method based on wireless communication, and can effectively solve the corresponding technical problems.
Fig. 1 is a scene schematic diagram of a bridge environment in which a system and a method for monitoring overweight refinement based on wireless communication are shown according to an embodiment of the present invention.
The overweight refinement monitoring system based on wireless communication according to the embodiment of the invention comprises:
the field induction coil is buried under the ground in front of the bridge and used for sending a first induction signal when sensing that a vehicle enters, and otherwise, sending a second induction signal;
the total amount detection mechanism is arranged between the field induction coil and the bridge, is connected with the field induction coil, and is used for exiting from the sleep mode to start the weight detection of the vehicle above the field induction coil when receiving the first induction signal so as to obtain the corresponding real-time vehicle body weight;
the railing driving device is connected with the total amount detection mechanism and used for driving the railing to seal the opening of the bridge when the received real-time vehicle body weight exceeds the weight limit value of the bridge;
the total amount detection mechanism is further used for stopping the weight detection of the vehicle above the total amount detection mechanism when the second sensing signal is received so as to enter a sleep mode;
the dot matrix video equipment is arranged above the total amount detection mechanism and used for carrying out video recording operation on the position of the total amount detection mechanism so as to obtain an instant bridge image corresponding to the current moment;
the gamma correction mechanism is connected with the dot matrix video equipment and is used for executing gamma correction processing on the received instant on-bridge image so as to obtain a corresponding on-site corrected image;
the type identification device is connected with the gamma correction mechanism and is used for carrying out type identification on the vehicle objects in the field correction image based on the appearance imaging characteristics of different types of vehicles to obtain corresponding upper bridge vehicle types;
the big data storage network element is arranged at a big data service network end and used for storing the delivery weight of each type of vehicle;
the data analysis mechanism is respectively connected with the type identification equipment and the big data storage network element and is used for retrieving the delivery weight corresponding to the type of the upper bridge vehicle from the big data storage network element to be output as the real-time delivery weight;
the load identification equipment is respectively connected with the total amount detection mechanism and the data analysis mechanism and is used for subtracting the real-time delivery weight from the real-time vehicle body weight to obtain a real-time load weight;
the abnormity warning mechanism is connected with a far-end traffic management center server through a time division duplex communication network link, is also respectively connected with the load identification equipment and the type identification equipment, and is used for wirelessly sending an overload signal to the far-end traffic management center server when the received real-time load weight exceeds the maximum load weight corresponding to the type of the upper bridge vehicle;
the abnormal alarming mechanism is also used for sending the field correction image to the traffic management center server while sending the overload signal.
Next, a detailed structure of the wireless communication based overweight condition monitoring system of the present invention will be further described.
In the wireless communication based overweight refinement monitoring system:
performing type recognition on vehicle objects in the live-corrected image based on the contour imaging features of different types of vehicles to obtain a corresponding upper-bridge vehicle type comprises: and performing similarity analysis on the imaging area of the vehicle object in the field correction image based on the factory patterns of different types of vehicles to take the type of the vehicle corresponding to the factory pattern with the highest similarity as the upper-bridge vehicle type.
In the wireless communication based overweight refinement monitoring system:
and the abnormity warning mechanism is also used for wirelessly sending a load normal signal to a remote traffic management center server when the received real-time load weight does not exceed the maximum load weight corresponding to the type of the upper bridge vehicle.
In the wireless communication based overweight refinement monitoring system:
the railing driving device is further used for driving the railing to unlock the opening of the bridge when the received real-time vehicle body weight does not exceed the weight limit value of the bridge.
In the wireless communication based overweight refinement monitoring system:
the license plate recognition mechanism is respectively connected with the abnormal alarm mechanism and the type recognition equipment and is used for executing license plate recognition on an imaging area of the vehicle object in the field correction image to obtain a license plate number for regulation violation when receiving an overload signal;
the abnormal alarm mechanism is also used for sending the violation license plate number to the traffic management center server while sending the overload signal.
The overweight refinement monitoring method based on wireless communication according to the embodiment of the invention comprises the following steps:
the method comprises the following steps that a field induction coil is used, is buried under the ground in front of a bridge and is used for sending a first induction signal when a vehicle is induced to enter, and otherwise, sending a second induction signal;
the total use amount detection mechanism is arranged between the field induction coil and the bridge, is connected with the field induction coil and is used for exiting from the sleep mode to start the weight detection of the vehicle above the field induction coil when receiving the first induction signal so as to obtain the corresponding real-time vehicle body weight;
the railing driving device is connected with the total amount detection mechanism and used for driving the railing to seal the opening of the bridge when the received real-time vehicle body weight exceeds the weight limit value of the bridge;
the total amount detection mechanism is further used for stopping the weight detection of the vehicle above the total amount detection mechanism when the second sensing signal is received so as to enter a sleep mode;
using dot matrix video equipment, arranged above the total amount detection mechanism, for carrying out video recording operation on the position of the total amount detection mechanism to obtain an instant bridge image corresponding to the current moment;
the gamma correction mechanism is connected with the dot matrix video equipment and used for executing gamma correction processing on the received instant bridge-crossing image so as to obtain a corresponding field correction image;
using a type recognition device connected with the gamma correction mechanism and used for carrying out type recognition on vehicle objects in the field correction image based on the appearance imaging characteristics of different types of vehicles to obtain corresponding upper bridge vehicle types;
the big data storage network element is arranged at a big data service network end and used for storing the delivery weight of each type of vehicle;
a data analysis mechanism is used, connected with the type identification device and the big data storage network element respectively, and used for retrieving the delivery weight corresponding to the type of the upper bridge vehicle from the big data storage network element to output as the real-time delivery weight;
the load identification equipment is respectively connected with the total amount detection mechanism and the data analysis mechanism and is used for subtracting the real-time delivery weight from the real-time vehicle body weight to obtain a real-time load weight;
an abnormity warning mechanism is used, is connected with a remote traffic management center server through a time division duplex communication network link, is also respectively connected with the load identification equipment and the type identification equipment, and is used for wirelessly sending an overload signal to the remote traffic management center server when the received real-time load weight exceeds the maximum load weight corresponding to the type of the upper bridge vehicle;
the abnormal alarming mechanism is also used for sending the field correction image to the traffic management center server while sending the overload signal.
Next, the detailed steps of the method for monitoring overweight condition based on wireless communication according to the present invention will be further described.
The overweight fine monitoring method based on wireless communication comprises the following steps:
performing type recognition on vehicle objects in the live-corrected image based on the contour imaging features of different types of vehicles to obtain a corresponding upper-bridge vehicle type comprises: and performing similarity analysis on the imaging area of the vehicle object in the field correction image based on the factory patterns of different types of vehicles to take the type of the vehicle corresponding to the factory pattern with the highest similarity as the upper-bridge vehicle type.
The overweight fine monitoring method based on wireless communication comprises the following steps:
and the abnormity warning mechanism is also used for wirelessly sending a load normal signal to a remote traffic management center server when the received real-time load weight does not exceed the maximum load weight corresponding to the type of the upper bridge vehicle.
The overweight fine monitoring method based on wireless communication comprises the following steps:
the railing driving device is further used for driving the railing to unlock the opening of the bridge when the received real-time vehicle body weight does not exceed the weight limit value of the bridge.
The overweight refinement monitoring method based on wireless communication can further comprise the following steps:
the license plate recognition mechanism is respectively connected with the abnormal alarm mechanism and the type recognition equipment and used for carrying out license plate recognition on an imaging area of the vehicle object in the field correction image to obtain a license plate number against regulation when receiving an overload signal;
the abnormal alarm mechanism is also used for sending the violation license plate number to the traffic management center server while sending the overload signal.
In addition, in the overweight fine monitoring system and method based on wireless communication, the abnormity warning mechanism adopts a ZIGBEE communication mode to execute wireless communication. ZIGBEE is a low power consumption local area network protocol based on the IEEE802.15.4 standard. According to international standards, ZIGBEE technology is a short-range, low-power wireless communication technology. This name (also called the purple bee protocol) is derived from the dance of the eight characters of bees, since bees (bee) communicate the orientation information of pollen with partners by flying and "waving" (ZIG) flapping wings, "i.e. bees form a communication network in the community by this way. Its advantages are short distance, low complexity, self-organization, low power consumption and low data rate. The device is mainly suitable for the fields of automatic control and remote control, and can be embedded into various devices. In short, ZIGBEE is an inexpensive and low-power-consumption short-range wireless networking communication technology. ZIGBEE is a wireless network protocol for low-speed short-range transmission. The ZIGBEE protocol is, from bottom to top, a physical layer (PHY), a media access control layer (MAC), a Transport Layer (TL), a network layer (NWK), an application layer (APL), and the like. Wherein the physical layer and the medium access control layer comply with the provisions of the IEEE802.15.4 standard.
Finally, it should be noted that each functional device in the embodiments of the present invention may be integrated into one processing device, or each device may exist alone physically, or two or more devices may be integrated into one device.
The functions, if implemented in the form of software-enabled devices and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. An overweight refinement monitoring system based on wireless communication, the system comprising:
the field induction coil is buried under the ground in front of the bridge and used for sending a first induction signal when inducing that a vehicle enters, and otherwise, sending a second induction signal.
2. The system for ultra-fine monitoring based on wireless communication according to claim 1, wherein said system further comprises:
and the total amount detection mechanism is arranged between the field induction coil and the bridge and is connected with the field induction coil.
3. The system for ultra-fine monitoring based on wireless communication according to claim 2, wherein:
and the total amount detection mechanism is used for exiting the sleep mode to start the weight detection of the vehicle above the total amount detection mechanism so as to obtain the corresponding real-time vehicle body weight when receiving the first induction signal.
4. The system for ultra-fine monitoring based on wireless communication according to claim 3, wherein said system further comprises:
the railing driving device is connected with the total amount detection mechanism and used for driving the railing to seal the opening of the bridge when the received real-time vehicle body weight exceeds the weight limit value of the bridge;
the total amount detection mechanism is further used for stopping the weight detection of the vehicle above the total amount detection mechanism when the second sensing signal is received so as to enter a sleep mode;
the dot matrix video equipment is arranged above the total amount detection mechanism and used for carrying out video recording operation on the position of the total amount detection mechanism so as to obtain an instant bridge image corresponding to the current moment;
the gamma correction mechanism is connected with the dot matrix video equipment and is used for executing gamma correction processing on the received instant on-bridge image so as to obtain a corresponding on-site corrected image;
the type identification device is connected with the gamma correction mechanism and is used for carrying out type identification on the vehicle objects in the field correction image based on the appearance imaging characteristics of different types of vehicles to obtain corresponding upper bridge vehicle types;
the big data storage network element is arranged at a big data service network end and used for storing the delivery weight of each type of vehicle;
the data analysis mechanism is respectively connected with the type identification equipment and the big data storage network element and is used for retrieving the delivery weight corresponding to the type of the upper bridge vehicle from the big data storage network element to be output as the real-time delivery weight;
the load identification equipment is respectively connected with the total amount detection mechanism and the data analysis mechanism and is used for subtracting the real-time delivery weight from the real-time vehicle body weight to obtain a real-time load weight;
the abnormity warning mechanism is connected with a far-end traffic management center server through a time division duplex communication network link, is also respectively connected with the load identification equipment and the type identification equipment, and is used for wirelessly sending an overload signal to the far-end traffic management center server when the received real-time load weight exceeds the maximum load weight corresponding to the type of the upper bridge vehicle;
the abnormal alarming mechanism is also used for sending the field correction image to the traffic management center server while sending the overload signal;
wherein performing type recognition on the vehicle object in the field correction image based on the contour imaging features of different types of vehicles to obtain a corresponding upper bridge vehicle type comprises: performing similarity analysis on an imaging area of a vehicle object in the field correction image based on the factory patterns of different types of vehicles to take the type of the vehicle corresponding to the factory pattern with the highest similarity as an upper-bridge vehicle type;
the abnormity warning mechanism is also used for wirelessly sending a load normal signal to a remote traffic management center server when the received real-time load weight does not exceed the maximum load weight corresponding to the type of the upper bridge vehicle;
the rail driving device is further used for driving the rail to unlock the opening of the bridge when the received real-time vehicle body weight does not exceed the weight limit value of the bridge.
5. The system for ultra-fine monitoring based on wireless communication according to claim 4, wherein said system further comprises:
the license plate recognition mechanism is respectively connected with the abnormal alarm mechanism and the type recognition equipment and is used for executing license plate recognition on an imaging area of the vehicle object in the field correction image to obtain a license plate number for regulation violation when receiving an overload signal;
the abnormal alarm mechanism is also used for sending the violation license plate number to the traffic management center server while sending the overload signal.
6. A method for overweight fine monitoring based on wireless communication, the method comprising:
the on-site induction coil is buried under the ground in front of the bridge and used for sending a first induction signal when inducing that a vehicle enters, and otherwise, sending a second induction signal.
7. The method for ultra-fine monitoring based on wireless communication according to claim 6, wherein said method further comprises:
and the total usage amount detection mechanism is arranged between the field induction coil and the bridge and is connected with the field induction coil.
8. The method for ultra-fine monitoring based on wireless communication according to claim 7, wherein:
and the total amount detection mechanism is used for exiting the sleep mode to start the weight detection of the vehicle above the total amount detection mechanism so as to obtain the corresponding real-time vehicle body weight when receiving the first induction signal.
9. The method for ultra-fine monitoring based on wireless communication according to claim 8, wherein said method further comprises:
the railing driving device is connected with the total amount detection mechanism and used for driving the railing to seal the opening of the bridge when the received real-time vehicle body weight exceeds the weight limit value of the bridge;
the total amount detection mechanism is further used for stopping the weight detection of the vehicle above the total amount detection mechanism when the second sensing signal is received so as to enter a sleep mode;
using dot matrix video equipment, arranged above the total amount detection mechanism, for carrying out video recording operation on the position of the total amount detection mechanism to obtain an instant bridge image corresponding to the current moment;
the gamma correction mechanism is connected with the dot matrix video equipment and used for executing gamma correction processing on the received instant bridge-crossing image so as to obtain a corresponding field correction image;
using a type recognition device connected with the gamma correction mechanism and used for carrying out type recognition on vehicle objects in the field correction image based on the appearance imaging characteristics of different types of vehicles to obtain corresponding upper bridge vehicle types;
the big data storage network element is arranged at a big data service network end and used for storing the delivery weight of each type of vehicle;
a data analysis mechanism is used, connected with the type identification device and the big data storage network element respectively, and used for retrieving the delivery weight corresponding to the type of the upper bridge vehicle from the big data storage network element to output as the real-time delivery weight;
the load identification equipment is respectively connected with the total amount detection mechanism and the data analysis mechanism and is used for subtracting the real-time delivery weight from the real-time vehicle body weight to obtain a real-time load weight;
an abnormity warning mechanism is used, is connected with a remote traffic management center server through a time division duplex communication network link, is also respectively connected with the load identification equipment and the type identification equipment, and is used for wirelessly sending an overload signal to the remote traffic management center server when the received real-time load weight exceeds the maximum load weight corresponding to the type of the upper bridge vehicle;
the abnormal alarming mechanism is also used for sending the field correction image to the traffic management center server while sending the overload signal;
wherein performing type recognition on the vehicle object in the field correction image based on the contour imaging features of different types of vehicles to obtain a corresponding upper bridge vehicle type comprises: performing similarity analysis on an imaging area of a vehicle object in the field correction image based on the factory patterns of different types of vehicles to take the type of the vehicle corresponding to the factory pattern with the highest similarity as an upper-bridge vehicle type;
the abnormity warning mechanism is also used for wirelessly sending a load normal signal to a remote traffic management center server when the received real-time load weight does not exceed the maximum load weight corresponding to the type of the upper bridge vehicle;
the rail driving device is further used for driving the rail to unlock the opening of the bridge when the received real-time vehicle body weight does not exceed the weight limit value of the bridge.
10. The method for ultra-fine monitoring based on wireless communication according to claim 9, wherein said method further comprises:
the license plate recognition mechanism is respectively connected with the abnormal alarm mechanism and the type recognition equipment and used for carrying out license plate recognition on an imaging area of the vehicle object in the field correction image to obtain a license plate number against regulation when receiving an overload signal;
the abnormal alarm mechanism is also used for sending the violation license plate number to the traffic management center server while sending the overload signal.
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| CN111311922A (en) * | 2020-02-10 | 2020-06-19 | 中铁大桥科学研究院有限公司 | Overweight vehicle arresting system and method |
| CN211124365U (en) * | 2020-01-17 | 2020-07-28 | 成都师范学院 | Vehicle traffic monitoring system based on bridge bearing detection |
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| KR101693759B1 (en) * | 2016-11-29 | 2017-01-09 | 한국건설기술연구원 | Safety inspection apparatus for bridge using expansion joint with load cell, and method for the same |
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