CN113470344A - Cloud recognition early warning network system for dynamic supervision of road transport vehicles - Google Patents

Cloud recognition early warning network system for dynamic supervision of road transport vehicles Download PDF

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Publication number
CN113470344A
CN113470344A CN202010248540.7A CN202010248540A CN113470344A CN 113470344 A CN113470344 A CN 113470344A CN 202010248540 A CN202010248540 A CN 202010248540A CN 113470344 A CN113470344 A CN 113470344A
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module
resistor
capacitor
central control
control module
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张豪杰
王斐
陈晔
王泽朋
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Beijing Huixing Shida Technology Co ltd
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Beijing Huixing Shida Technology Co ltd
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Priority to CN202010248540.7A priority Critical patent/CN113470344A/en
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/017Detecting movement of traffic to be counted or controlled identifying vehicles
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/097Supervising of traffic control systems, e.g. by giving an alarm if two crossing streets have green light simultaneously
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/02Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • H04L67/025Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H04L67/125Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention discloses a cloud recognition early warning network system for dynamically supervising road transport vehicles, which comprises a power supply module, a central control module, a road surface information acquisition module, an image preprocessing module, a lane detection module, a lane information module, a lane recognition module, an early warning signal processing module, an alarm module, a path generation module, a track module, a road surface information transmission module and a risk dynamic evaluation module, the power module is electrically connected with the central control module, and the central control module is respectively connected with the road surface information acquisition module, the image preprocessing module, the lane detection module, the lane information module, the lane recognition module, the early warning signal processing module, the alarm module, the path generation module, the track module, the road surface information transmission module and the risk dynamic evaluation module. Has the advantages that: the running safety performance is improved, and the running safety of the transport vehicle on the road surface is improved.

Description

Cloud recognition early warning network system for dynamic supervision of road transport vehicles
Technical Field
The invention relates to the technical field of road safety, in particular to a dynamic monitoring cloud recognition early warning network system for a road transport vehicle.
Background
In recent years, the annual road transportation volume of dangerous goods in China is increased year by year, so that the health development of the industry is hindered, the life and property safety of people is seriously threatened, and the stability of the society and the natural environment are negatively influenced.
The safety department and the transportation department in China require transportation enterprises to strengthen the dynamic supervision of the transportation process of dangerous goods, and special monitors are equipped to supervise the transportation dynamic parameters according to supervision equipment. However, most of the existing monitoring is manual monitoring, dozens of vehicles are monitored simultaneously, the working intensity is high, and some monitoring personnel do not work seriously, so that the risk is easy to cause loopholes under the condition of lacking the help of auxiliary monitoring of risk early warning. Therefore, research on a dynamic supervision cloud recognition early warning network system for road transport vehicles is urgently needed to evaluate the transport risks in real time.
Disclosure of Invention
The technical task of the invention is to provide a cloud recognition early warning network system for dynamically monitoring road transport vehicles to solve the problems in the background technology.
The technical scheme of the invention is realized as follows:
the cloud recognition early warning network system for dynamically supervising the road transport vehicles comprises a power supply module, a central control module, a road surface information acquisition module, an image preprocessing module, a lane detection module, a lane information module, a lane recognition module, an early warning signal processing module, an alarm module, a path generation module, a track module, a road surface information transmission module and a risk dynamic evaluation module, the power module is electrically connected with the central control module, and the central control module is respectively connected with the road surface information acquisition module, the image preprocessing module, the lane detection module, the lane information module, the lane recognition module, the early warning signal processing module, the alarm module, the path generation module, the track module, the road surface information transmission module and the risk dynamic evaluation module.
Preferably, the risk dynamic evaluation module comprises a local risk dynamic evaluation module and a cloud risk dynamic evaluation module.
Preferably, the road surface information collecting module comprises a local data collecting module and a cloud data collecting module.
Preferably, the alarm module comprises an in-vehicle buzzer alarm, a vehicle body warning lamp and a mobile phone APP for sending inter-vehicle warning information.
Preferably, the alarm module comprises a capacitor C1, a capacitor C2, a capacitor C3, a capacitor C4, a capacitor C5, a capacitor C6, a capacitor C7, a capacitor C8, a resistor R1, a resistor R2, a resistor R3, a resistor R4, a resistor R5, a resistor R6, a resistor R7, a resistor R8, a resistor R9, a diode D1, a diode D2, a triode Q1, a triode Q2, an operational amplifier U, an inductor L1 and a crystal oscillator Y.
Preferably, the central control module pins A1, A2, A3, A4, A6, A7, A13, A10, A9 and A8 are all connected with a power supply, the pin A12 of the central control module is connected to the crystal oscillator Y and one end of the capacitor C6, the other end of the capacitor C6 is connected to one end of the capacitor C7 and grounded, the other end of the capacitor C7 is connected to one end of the crystal oscillator Y and the end of the pin A11 of the central control module, the central control module pin A14 is connected to one end of the capacitor C8, the other end of the capacitor C8 is connected to ground, the pin A5 of the central control module is connected with one end of the resistor R9, the other end of the resistor R9 is connected with the base electrode of the triode Q2, the emitter of the triode Q2 is grounded, the collector of the triode Q2 is connected with the inductor L1 and is connected with an alarm, and the other end of the inductor L1 is connected with a power supply.
Preferably, one end of the capacitor C1 is connected to the anode of the diode D1 and one end of the resistor R2 respectively and is connected to a power supply, the other end of the capacitor C1 is connected to the resistor R1, one end of the capacitor C2, one end of the resistor R3, one end of the capacitor C3, and the emitter of the transistor Q1 respectively and is grounded, the other end of the resistor R1 is connected to the cathode of the diode D1, the other end of the capacitor C2 is connected to the resistor R3, the resistor R2, one end of the capacitor C4, and one end of the capacitor C3 respectively, the other end of the capacitor C4 is connected to one end of the resistor R4 and the base of the diode Q1 respectively, the other end of the resistor R4 is connected to the resistor R2 and one end of the resistor R5 respectively and is connected to a power supply, and the other end of the resistor R5 is connected to the collector of the transistor Q1 and one end of the capacitor C5 respectively, the other end of the capacitor C5 is connected to the emitters of the resistor R6, the operational amplifier U and the transistor Q1, and is grounded, the other end of the resistor R6 is connected to the resistor R5, the operational amplifier, the resistor R7 and the negative electrode of the diode D2, the positive electrode of the diode D2 is connected to one end of the resistor R8, and the other end of the resistor R8 is connected to one end of the resistor R7 and the operational amplifier U, and is powered.
Preferably, the road surface information collecting module includes a resistor R10, a resistor R11, a resistor R12, a resistor R13, a resistor R14, a resistor R15, a resistor R16, a resistor R17, a resistor R18, a capacitor C9, a capacitor C10, a capacitor C11, a capacitor C12, a capacitor C13, an inductor L2, and an inductor L3.
Preferably, the pin a15 of the central control module is connected to one end of the capacitor C9, the other end of the capacitor C9 is connected to one end of the resistor R10, the other end of the resistor R10 is connected to the power supply, the pins a16 and a17 of the central control module are grounded, the pin a18 of the central control module is connected to one end of the resistor R12, the other end of the resistor R12 is connected to one end of the resistor R11, the inductor L2 and the capacitor C11, the other end of the resistor R11 is connected to one end of the capacitor C10 and is connected to the power supply, the other end of the capacitor C10 is grounded, the other end of the capacitor C11 is grounded, the other end of the inductor L2 is connected to one end of the pin a20 of the central control module and one end of the resistor R13, the pin a19 of the central control module is connected to the ground, the other end of the resistor R13 is connected to the pin a21 of the central control module, central control module pin A22 and pin A23 all ground connection, central control module pin A24 with resistance R15's one end is connected, the resistance R15 other end respectively with resistance R14 inductance L3 and electric capacity C12's one end is connected, resistance R14 other termination power and ground connection, electric capacity C12 other end ground connection, inductance L3 other end respectively with resistance R16's one end and central control module pin A26 connects, resistance 16's the other end with electric capacity C13's one end is connected, the other termination power of electric capacity C13.
Preferably, the pin a30 and the pin a36 of the central control module are both connected to a power supply, the pin a31 of the central control module is connected to the pin a28 of the central control module and grounded, the pin a29 of the central control module is connected to a power supply, the pin a27 of the central control module is connected to the pin a37 of the central control module, the pin a32 of the central control module is connected to the pin a38 of the central control module and connected to one end of the resistor R18, the other end of the resistor R18 is connected to one end of the resistor R17 and connected to a power supply, and the other end of the resistor R17 is connected to the pin a33 of the central control module and the pin a39 of the central control module.
Compared with the prior art, the invention has the advantages and positive effects that:
1. the running safety performance is improved, the running condition of the road transport vehicle is found in time, and the running safety of the transport vehicle on the road is improved.
2. The dynamic state of the road transport vehicle can be identified, and early warning prompt can be carried out according to the road surface condition.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a general functional block diagram according to an embodiment of the present invention;
FIG. 2 is a functional block diagram of a risk dynamic evaluation module according to an embodiment of the present invention;
FIG. 3 is a block diagram of a module for collecting road surface information according to an embodiment of the invention;
FIG. 4 is a block diagram of an alarm module according to an embodiment of the present invention;
FIG. 5 is a circuit diagram of an alarm module according to an embodiment of the present invention;
fig. 6 is a circuit diagram of a module for collecting road surface information according to an embodiment of the invention.
In the figure:
1. a power supply module; 2. a central control module; 3. a road surface information acquisition module; 4. an image preprocessing module; 5. a lane detection module; 6. a lane information module; 7. a lane identification module; 8. an early warning signal processing module; 9. an alarm module; 10. a path generation module; 11. a trajectory module; 12. a road information transmission module; 13. a risk dynamic evaluation module; 14. a local risk dynamic evaluation module; 15. A cloud risk dynamic evaluation module; 16. a local data acquisition module; 17. a cloud data acquisition module; 18. a buzzer alarm in the vehicle; 19. a vehicle body warning light; 20. and sending the mobile phone APP of the workshop warning information.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, the present invention will be further described with reference to the accompanying drawings and examples. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
The invention is further described with reference to the following figures and specific examples.
In a first embodiment, as shown in fig. 1, the cloud recognition early warning network system for dynamically supervising road transportation vehicles according to an embodiment of the present invention includes a power module 1, a central control module 2, a road information collecting module 3, an image preprocessing module 4, a lane detection module 5, a lane information module 6, a lane recognition module 7, an early warning signal processing module 8, an alarm module 9, a path generating module 10, a track module 11, a road information transmission module 12, and a risk dynamic evaluation module 13, where the power module 1 is electrically connected to the central control module 2, the central control module 2 is respectively connected to the road information collecting module 3, the image preprocessing module 4, the lane detection module 5, the lane information module 6, the lane recognition module 7, the early warning signal processing module 8, the lane recognition module 6, the lane recognition module 7, the early warning signal processing module 8, and the risk dynamic evaluation module 13, The alarm module 9, the path generation module 10, the trajectory module 11, the road surface information transmission module 12, and the risk dynamic evaluation module 13 are connected.
In a second embodiment, as shown in fig. 2, the risk dynamic evaluation module 13 includes a local risk dynamic evaluation module 14 and a cloud risk dynamic evaluation module 15.
In a third embodiment, as shown in fig. 3, the module for collecting road information 3 includes a local data collection module 16 and a cloud data collection module 17.
In a fourth embodiment, as shown in fig. 4, the alarm module 9 includes an in-vehicle buzzer alarm 18, a vehicle body warning lamp 19, and a mobile phone APP20 for sending a workshop warning message.
In a fifth embodiment, as shown in fig. 5, the alarm module 9 includes a capacitor C1, a capacitor C2, a capacitor C3, a capacitor C4, a capacitor C5, a capacitor C6, a capacitor C7, a capacitor C8, a resistor R1, a resistor R2, a resistor R3, a resistor R4, a resistor R5, a resistor R6, a resistor R7, a resistor R8, a resistor R9, a diode D1, a diode D2, a transistor Q1, a transistor Q2, an op-amp U, an inductor L1, and a crystal oscillator Y, where pins a1, a2, and a2 of the central control module 2 are all connected to a crystal oscillator Y and one end of the capacitor C2, the other end of the capacitor C2 is connected to ground, and the other end of the central control module 2 is connected to the end of the capacitor C2 and the capacitor C2, the pin a14 of the central control module 2 is connected to one end of the capacitor C8, the other end of the capacitor C8 is grounded, the pin a5 of the central control module 2 is connected to one end of the resistor R9, the other end of the resistor R9 is connected to the base of the transistor Q2, the transmitter of the transistor Q2 is grounded, the collector of the transistor Q2 is connected to the inductor L1 and turns off the alarm, the other end of the inductor L1 is connected to the power supply, one end of the capacitor C1 is connected to the positive electrode of the diode D1 and one end of the resistor R2 and turns on the power supply, the other end of the capacitor C1 is connected to one end of the resistor R1, the capacitor C2, the resistor R3 and the capacitor C3 and the emitter of the transistor Q1 and is grounded, the other end of the resistor R1 is connected to the negative electrode of the diode D1, and the other end of the capacitor C2 is connected to the resistor R3, One end of the resistor R2, one end of the capacitor C4 and one end of the capacitor C3 are connected, the other end of the capacitor C4 is respectively connected with one end of the resistor R4 and the base of the triode Q1, the other end of the resistor R4 is respectively connected with one end of the resistor R2 and one end of the resistor R5 and is connected with a power supply in parallel, the other end of the resistor R5 is respectively connected to the collector of the transistor Q1 and one end of the capacitor C5, the other end of the capacitor C5 is respectively connected to the emitters of the resistor R6, the amplifier U and the transistor Q1 and grounded, the other end of the resistor R6 is respectively connected with the resistor R5, the operational amplifier, the resistor R7 and the cathode of the diode D2, the anode of the diode D2 is connected with one end of the resistor R8, and the other end of the resistor R8 is respectively connected with one end of the resistor R7 and the operational amplifier U and connected with a power supply in parallel.
Sixth embodiment, as shown in fig. 6, the module 3 for collecting road surface information includes a resistor R10, a resistor R11, a resistor R12, a resistor R13, a capacitor C13, an inductor L13, and an inductor L13, where a pin a13 of the central control module 2 is connected to one end of the capacitor C13, the other end of the capacitor C13 is connected to one end of the resistor R13, the other end of the resistor R13 is connected to a power supply, pins a13 and a13 of the central control module 2 are grounded, a pin a13 of the central control module 2 is connected to one end of the resistor R13, the other end of the resistor R13 is connected to one end of the inductor R13, the L13, and one end of the capacitor C13 are connected to the ground, the other end of the capacitor C11 is grounded, the other end of the inductor L2 is connected to the pin a20 of the central control module 2 and one end of the resistor R13, the pin a19 of the central control module 2 is grounded, the other end of the resistor R13 is connected to the pin a21 of the central control module 2, the pin a22 and the pin a23 of the central control module 2 are both grounded, the pin a24 of the central control module 2 is connected to one end of the resistor R15, the other end of the resistor R15 is connected to the resistor R14, the inductor L3 and one end of the capacitor C12, the other end of the resistor R14 is connected to the power supply and grounded, the other end of the capacitor C12 is grounded, the other end of the inductor L3 is connected to one end of the resistor R16 and the pin a26 of the central control module 2, the other end of the resistor 16 is connected to one end of the capacitor C13, another termination power of electric capacity C13, central control module 2 pin A30 and pin A36 all connect the power, central control module 2 pin A31 with central control module 2 pin A28 connects and ground connection, central control module 2 pin A29 connects the power, central control module 2 pin A27 with central control module 2 pin A37 connects, central control module 2 pin A32 with central control module 2 pin A38 connects and with the one end of resistance R18 is connected, the resistance R18 other end with the one end of resistance R17 is connected and is connected the power, the other end of resistance R17 with central control module 2 pin A33 and central control module 2 pin A39 connects.
For the convenience of understanding the technical solutions of the present invention, the following detailed description will be made on the working principle or the operation mode of the present invention in the practical process.
In practical application, the dynamic information of the transport vehicle is collected through the set road surface information collecting module 3, the received road surface conditions are collected, processed and stored through the image preprocessing module 4, lanes are identified and detected simultaneously, the received information is screened and processed, the alarm module 9 is triggered to give an alarm when the road surface conditions are met, unnecessary traffic accidents are avoided, the running safety of the transport vehicle on the road is improved, and the condition of the transport vehicle on the road can be found in time.
The present invention can be easily implemented by those skilled in the art from the above detailed description. It should be understood, however, that the intention is not to limit the invention to the particular embodiments described. On the basis of the disclosed embodiments, a person skilled in the art can combine different technical features at will, thereby implementing different technical solutions.

Claims (10)

1. A high in clouds discernment early warning network system for road transport vehicle developments supervision, which is characterized in that, including power module (1), central control module (2), gather road surface information module (3), image preprocessing module (4), lane detection module (5), lane information module (6), lane identification module (7), early warning signal processing module (8), alarm module (9), route generation module (10), orbit module (11), road surface information transmission module (12) and risk dynamic evaluation module (13), power module (1) with central control module (2) electricity is connected, central control module (2) respectively with gather road surface information module (3), image preprocessing module (4), lane detection module (5), lane information module (6), The lane recognition module (7), the early warning signal processing module (8), the alarm module (9), the path generation module (10), the track module (11), the road surface information transmission module (12) and the risk dynamic evaluation module (13) are connected.
2. Cloud recognition early warning network system for dynamic supervision of road transport vehicles according to claim 1, characterized in that the dynamic risk evaluation module (13) comprises a local dynamic risk evaluation module (14) and a cloud dynamic risk evaluation module (15).
3. Cloud recognition early warning network system for dynamic supervision of road transport vehicles according to claim 1, characterized in that the module for collecting road information (3) comprises a local data collection module (16) and a cloud data collection module (17).
4. The cloud identification and early warning network system for dynamic supervision of road transport vehicles according to claim 1, characterized in that the warning module (9) comprises an in-vehicle buzzer alarm (18), a vehicle body warning lamp (19) and a mobile phone APP (20) for sending workshop warning information.
5. The cloud identification and early warning network system for dynamic supervision of road transport vehicles according to claim 1, wherein the warning module (9) comprises a capacitor C1, a capacitor C2, a capacitor C3, a capacitor C4, a capacitor C5, a capacitor C6, a capacitor C7, a capacitor C8, a resistor R1, a resistor R2, a resistor R3, a resistor R4, a resistor R5, a resistor R6, a resistor R7, a resistor R8, a resistor R9, a diode D1, a diode D2, a triode Q1, a triode Q2, an operational amplifier U, an inductor L1 and a crystal oscillator Y.
6. The cloud recognition early warning network system for road transportation vehicle dynamic supervision according to claim 5, wherein the pins A1, A2, A3, A4, A6, A7, A13, A10, A9 and A8 of the central control module (2) are all connected with a power supply, the pin A12 of the central control module (2) is respectively connected with a crystal oscillator Y and one end of the capacitor C6, the other end of the capacitor C6 is connected with one end of the capacitor C7 and grounded, the other end of the capacitor C7 is respectively connected with one end of the crystal oscillator Y and the end of the pin A11 of the central control module (2), the pin A14 of the central control module (2) is connected with one end of the capacitor C8, the other end of the capacitor C8 is grounded, the pin A5 of the central control module (2) is connected with one end of the resistor R9, and the other end of the resistor R9 is connected with the base of the transistor Q2, the emitter of the triode Q2 is grounded, the collector of the triode Q2 is connected with the inductor L1 and is connected with an alarm, and the other end of the inductor L1 is connected with a power supply.
7. The cloud recognition early warning network system for dynamic supervision of road transport vehicles according to claim 5, wherein one end of the capacitor C1 is respectively connected to the positive electrode of the diode D1 and one end of the resistor R2 and is connected to a power supply in parallel, the other end of the capacitor C1 is respectively connected to one ends of the resistor R1, the capacitor C2, the resistor R3 and the capacitor C3 and to the emitter of the transistor Q1 and is connected to ground, the other end of the resistor R1 is connected to the negative electrode of the diode D1, the other end of the capacitor C2 is respectively connected to one ends of the resistor R3, the resistor R2, the capacitor C4 and the capacitor C3, the other end of the capacitor C4 is respectively connected to one end of the resistor R4 and to the base of the transistor Q1, the other end of the resistor R4 is respectively connected to one ends of the resistor R2 and the resistor R5 and is connected to a power supply in parallel, the other end of the resistor R5 is connected with the collector of the triode Q1 and one end of the capacitor C5, the other end of the capacitor C5 is connected with the resistor R6, the operational amplifier U and the emitter of the triode Q1 and grounded, the other end of the resistor R6 is connected with the resistor R5, the operational amplifier, the resistor R7 and the cathode of the diode D2, the anode of the diode D2 is connected with one end of the resistor R8, and the other end of the resistor R8 is connected with one end of the resistor R7 and the operational amplifier U and connected with a power supply.
8. The cloud recognition early warning network system for dynamic supervision of road transport vehicles according to claim 1, wherein the module (3) for collecting road information comprises a resistor R10, a resistor R11, a resistor R12, a resistor R13, a resistor R14, a resistor R15, a resistor R16, a resistor R17, a resistor R18, a capacitor C9, a capacitor C10, a capacitor C11, a capacitor C12, a capacitor C13, an inductor L2 and an inductor L3.
9. The cloud identification and early warning network system for dynamic supervision of road transport vehicles as claimed in claim 8, wherein pin a15 of the central control module (2) is connected to one end of the capacitor C9, the other end of the capacitor C9 is connected to one end of the resistor R10, the other end of the resistor R10 is connected to a power supply, pins a16 and a17 of the central control module (2) are grounded, pin a18 of the central control module (2) is connected to one end of the resistor R12, the other end of the resistor R12 is connected to one ends of the resistor R11, the inductor L2 and the capacitor C11, the other end of the resistor R11 is connected to one end of the capacitor C10 and connected to a power supply, the other end of the capacitor C10 is grounded, the other end of the capacitor C11 is grounded, the other end of the inductor L2 is connected to one ends of the pin a20 of the central control module (2) and the resistor R13, central control module (2) pin A19 ground connection, the resistance R13 other end with central control module (2) pin A21 connects, central control module (2) pin A22 and pin A23 all ground connection, central control module (2) pin A24 with resistance R15's one end is connected, the resistance R15 other end respectively with resistance R14, inductance L3 and electric capacity C12's one end is connected, resistance R14 other termination power and ground connection, electric capacity C12 other end ground connection, inductance L3 other end respectively with resistance R16's one end and central control module (2) pin A26 connects, resistance 16's the other end with electric capacity C13's one end is connected, electric capacity C13's other termination power.
10. The cloud recognition early warning network system for the dynamic supervision of road transport vehicles according to claim 9, characterized in that the pin A30 and the pin A36 of the central control module (2) are both connected with a power supply, pin A31 of the central control module (2) is connected with pin A28 of the central control module (2) and is grounded, the pin A29 of the central control module (2) is connected with a power supply, the pin A27 of the central control module (2) is connected with the pin A37 of the central control module (2), the pin A32 of the central control module (2) is connected with the pin A38 of the central control module (2) and is connected with one end of the resistor R18, the other end of the resistor R18 is connected with one end of the resistor R17 and is connected with a power supply, and the other end of the resistor R17 is connected with a pin A33 of the central control module (2) and a pin A39 of the central control module (2).
CN202010248540.7A 2020-03-31 2020-03-31 Cloud recognition early warning network system for dynamic supervision of road transport vehicles Pending CN113470344A (en)

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Citations (4)

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Publication number Priority date Publication date Assignee Title
CN205326809U (en) * 2015-11-10 2016-06-22 昆明理工大学 Car exceeds speed limit and reports to police and speed limit controlling means based on it is embedded
CN107833492A (en) * 2017-11-24 2018-03-23 南京视莱尔汽车电子有限公司 A kind of zebra stripes real-time monitoring system based on intelligent driving
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Application publication date: 20211001