CN218734338U - Reverse and cross-road behavior identification device for off-site law enforcement system - Google Patents
Reverse and cross-road behavior identification device for off-site law enforcement system Download PDFInfo
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- CN218734338U CN218734338U CN202222777290.3U CN202222777290U CN218734338U CN 218734338 U CN218734338 U CN 218734338U CN 202222777290 U CN202222777290 U CN 202222777290U CN 218734338 U CN218734338 U CN 218734338U
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Abstract
The utility model discloses an off-site law enforcement system is with going against and crossing a way behavior and differentiateing device, including weighing acquisition unit, vehicle detecting element and intelligent control recognition cell triplex. The utility model discloses a vehicle of gathering each lane wave form of weighing and the information wave form of passing a car carry out contrastive analysis with this lane vehicle data information and adjacent lane information, discern the orbit of traveling of vehicle to whether the realization judges the vehicle reverse travel or cross the function that the way travel.
Description
Technical Field
The utility model belongs to the technical field of highway traffic, a device is differentiateed with going against and crossing the road behavior to off-site law enforcement system is related to.
Background
Over-limit and overload vehicles on a running road cause serious damage to the road and a bridge for many years, the service life of the road is influenced, the construction and maintenance cost is greatly increased, traffic accidents are easily caused, the driving safety is seriously influenced, and meanwhile, the traffic management department is greatly difficult to manage and manage. In order to effectively strengthen management and fully play the role of super advantages of science and technology, the off-site law enforcement non-stop detection system is provided.
Due to the working environment and the working mode of the off-site law enforcement system, it is very difficult to ensure that each vehicle is on the corresponding lane Fan Hangshi when passing through the detection area, so that the detection of the abnormal driving behavior of the vehicle is very important. Most of the existing vehicle abnormal driving behavior detection modes are detection technologies based on video image recognition, and because the video image recognition device has the problems of high installation difficulty, high configuration requirement, high hardware cost, low data matching accuracy and the like, the reverse driving and cross-road behavior identification device provided at this time takes a ground coil and a weighing signal as main information sources to realize the detection of the vehicle abnormal driving behavior.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to provide an off-site law enforcement system is with going against the way and crossing the way behavior and differentiate device to the problem that the vehicle was reverse to go and cross the way and go. The intelligent control recognition unit is connected with the weighing and collecting unit and the vehicle detection unit by using a sub-module and a dual-communication framework, and the matching and analysis processing of data are realized.
In order to realize the purpose of the utility model, the utility model adopts the following technical scheme: a reverse and cross-road behavior distinguishing device for an off-site law enforcement system is characterized by comprising a power supply conversion circuit, a weighing acquisition unit, a vehicle detection unit and an intelligent control identification unit;
the weighing and collecting unit comprises an input interface protection filter circuit, a differential signal amplifying circuit, an analog-to-digital converter, a CPU, a gigabit network communication circuit and a CAN bus drive circuit;
the vehicle detection unit comprises an oscillation circuit, a shaping circuit, a CPU, a gigabit network communication circuit and a CAN bus drive circuit;
the intelligent control identification unit comprises an FPGA time sequence control processor, an ARM processor, an SDRAM storage circuit, a Flash storage circuit, a gigabit network communication circuit, a CAN bus driving circuit, a two-way 232 communication circuit, an isolation circuit, a display circuit and a clock circuit;
the power supply range of the power supply conversion circuit is 220VAC +/-10%, the AC/DC conversion circuit is converted into three DC power supplies 12VA, 12VB and 12VC which respectively supply power to the weighing acquisition unit, the vehicle detection unit and the intelligent control identification unit;
the weighing acquisition unit acquires weighing information of 4 lanes, 32 paths of sensor signals are obtained, the sensor input signals are filtered by a 32-path input interface protection filter circuit to remove high-frequency interference, common mode interference and differential mode interference in the signals, then the signals are connected into a 32-path differential signal amplification circuit, an analog-to-digital converter carries out signal synchronous sampling, a CPU is responsible for controlling the conversion time sequence and rear-end data processing of the analog-to-digital converter, and the processed data are transmitted to an intelligent control identification unit through a CAN bus and a network;
the vehicle detection unit detects vehicle information of 4 lanes, 16 annular ground induction coil signals are detected in total, an annular ground induction coil feeder line is connected to an oscillation circuit to generate oscillation sine waves, the sine waves are changed into 0-5V square waves after passing through a shaping circuit, a CPU is responsible for carrying out frequency division counting processing on the received square waves, so that frequency detection of the annular ground induction coils is achieved, vehicle information is obtained, and the processed vehicle information is transmitted to the intelligent control identification unit through a CAN bus and a network;
the intelligent control recognition unit accesses data received by the CAN bus and the network into the FPGA time sequence control processor, the FPGA time sequence control processor is responsible for carrying out time sequence matching on the received vehicle information, and the ARM processor is responsible for carrying out analysis processing on the vehicle information to finally obtain the weight, direction, lane crossing, speed and vehicle type information of the vehicle.
Furthermore, the direct current power supply 12VA supplied to the weighing acquisition unit is converted into 5VDA by the power conversion circuit to supply power to the external sensor, the differential signal amplification circuit, the analog-to-digital converter and the CAN bus driving circuit; the voltage is converted into 2.5V by a power conversion circuit to be used as the reference voltage of a differential signal amplifying circuit and an analog-to-digital converter; the power supply conversion circuit is converted into 3.3V to supply power for the CPU and peripheral circuits thereof and the gigabit network communication circuit.
Further, the direct current power supply 12VB for the vehicle detection unit is converted into 5VDB by the power conversion circuit to supply power for the oscillating circuit, the shaping circuit and the CAN bus driving circuit; the power supply conversion circuit is converted into 3.3V to supply power for the CPU and peripheral circuits thereof and the gigabit network circuit.
Furthermore, the first path of the direct current power supply 12VC supplied to the intelligent control identification unit is converted into a double-path 5V power supply by a power supply conversion circuit, one path of the 5VC supplies power for the CAN bus driving circuit, and the other path of the 5VD supplies power for a double-path 232 communication circuit, an isolation circuit and a display circuit; the second path is converted into 3.3V by the power supply conversion circuit to supply power for the ARM processor and peripheral circuits thereof, the FPGA time sequence control processor and peripheral circuits, the SDRAM storage circuit, the Flash storage circuit and the gigabit network circuit; and the third path is converted into 1.8V by a power supply conversion circuit to supply power for an I/O power supply of the FPGA time sequence control processor.
Furthermore, the signal amplification circuit selects two-stage amplification, the first stage of the amplification circuit selects an amplifier LMP2xxx for amplification by 125 times, the second stage drive chip selects a THS8xxx for amplification by 2 times for the first stage signal, and the AD acquisition chip is driven.
Further, the analog-to-digital converter selects 4 sigma-delta type analog-to-digital converters AD7xxx with 8 channels for signal synchronous sampling.
Further, the shaping circuit selects the voltage comparator LM33xx and the inverter CD40xx.
Furthermore, an FPGA timing control processor selects XC3Sxxx, and an ARM processor selects STM32F42xx.
Further, vehicle detecting element CPU chooses for use STM32F40xx, and the collection unit CPU that weighs chooses for use STM32F42xx.
Further, the oscillator circuit is a three-point LC oscillator circuit.
The utility model discloses following beneficial effect has:
1. the utility model discloses a be the main information source with ground coil and weighing signal, realize that the vehicle unusual action of traveling detects.
2. The utility model discloses with two transmission frameworks of CAN bus and net gape, realize intelligent control recognition cell and front end collection unit and the vehicle detecting element's of weighing connection, CAN carry out the chronogenesis to information in real time and match and handle the analysis.
Drawings
FIG. 1 is a system connection diagram;
FIG. 2 is a schematic block diagram of a power supply circuit;
FIG. 3 is a schematic block diagram of a weight collection unit;
FIG. 4 is a functional block diagram of a vehicle detection unit;
fig. 5 is a functional block diagram of an intelligent control recognition unit.
Detailed Description
As shown in fig. 1, the device for distinguishing retrograde and cross-lane behaviors for the off-site law enforcement system is composed of an intelligent control identification unit, a weighing acquisition unit and a vehicle detection unit, has the characteristics of double-transmission architecture and high-speed data matching processing, and can access weighing signals and ground induction coil signals of 4 lanes.
The system adopts 220V alternating current power supply, is converted into three paths of direct currents of 12VA, 12VB and 12VC by an alternating current power supply conversion circuit, and respectively supplies power to the weighing acquisition unit, the vehicle detection unit and the intelligent control identification unit. The 12VA power supply is converted into 5VA from LM25xx, the 5VA is converted into 3.3VA through LM1xxx and is converted into 2.5V through ADR4 xxx; the 12VB power supply is converted into 5VB from LM25xx, and the 5VB is converted into 3.3VB through LM1 xxx; the 12VC power supply is converted into 5VC and 5VD from LM25xx, and 5VC is converted into 3.3VC and 1.8V from TPS7xxx, as shown in figure 2.
The weighing and collecting unit consists of an input interface protection filter circuit, a differential signal amplifying circuit, an analog-to-digital converter, a signal processing CPU, a gigabit network communication circuit and a CAN bus driving circuit. As shown in fig. 3. According to weighing data of each channel collected when a vehicle passes through the weighing device, generating a vehicle passing weight waveform of the corresponding channel, and accordingly obtaining vehicle weight information, a driving track and a driving direction.
The vehicle detection unit is composed of an oscillation circuit, a shaping circuit, a CPU, a gigabit network communication circuit and a CAN bus driving circuit, as shown in fig. 4. Synthesizing the vehicle running track and the running direction according to the frequency change of each channel collected when the vehicle passes through the distributed ground induction coils, and generating the vehicle type information.
The intelligent control identification unit is composed of an FPGA time sequence control processor, an ARM processor, an SDRAM storage circuit, a Flash storage circuit, a gigabit network communication circuit, a CAN bus driving circuit, a two-way 232 communication circuit, an isolation circuit and a display circuit, and is shown in figure 5. The FPGA receives data information uploaded by the weighing acquisition unit and the vehicle detection unit through the dual-communication structure, and performs time sequence matching. And transmitting the data matched by the FPGA to an ARM (advanced RISC machine), analyzing and synthesizing the data by the ARM, finally generating information such as weight, direction, cross-track, speed, vehicle type and the like of the vehicle, and uploading or displaying the information through a 232 serial port.
Claims (10)
1. A reverse and cross-road behavior distinguishing device for an off-site law enforcement system is characterized by comprising a power supply conversion circuit, a weighing acquisition unit, a vehicle detection unit and an intelligent control identification unit;
the weighing and collecting unit comprises an input interface protection filter circuit, a differential signal amplifying circuit, an analog-to-digital converter, a CPU, a gigabit network communication circuit and a CAN bus drive circuit;
the vehicle detection unit comprises an oscillation circuit, a shaping circuit, a CPU, a gigabit network communication circuit and a CAN bus drive circuit;
the intelligent control identification unit comprises an FPGA time sequence control processor, an ARM processor, an SDRAM storage circuit, a Flash storage circuit, a gigabit network communication circuit, a CAN bus driving circuit, a two-way 232 communication circuit, an isolation circuit, a display circuit and a clock circuit;
the power supply range of the power supply conversion circuit is 220VAC +/-10%, the AC/DC conversion circuit is converted into three paths of DC power supplies 12VA, 12VB and 12VC, and the three paths of DC power supplies respectively supply power to the weighing acquisition unit, the vehicle detection unit and the intelligent control identification unit;
the weighing acquisition unit acquires weighing information of 4 lanes, 32 paths of sensor signals are obtained, the sensor input signals are filtered by a 32-path input interface protection filter circuit to remove high-frequency interference, common mode interference and differential mode interference in the signals, then the signals are connected into a 32-path differential signal amplification circuit, an analog-to-digital converter carries out signal synchronous sampling, a CPU is responsible for controlling the conversion time sequence and rear-end data processing of the analog-to-digital converter, and the processed data are transmitted to an intelligent control identification unit through a CAN bus and a network;
the vehicle detection unit detects vehicle information of 4 lanes, 16 annular ground induction coil signals are detected in total, an annular ground induction coil feeder line is connected to an oscillation circuit to generate oscillation sine waves, the sine waves are changed into 0-5V square waves after passing through a shaping circuit, a CPU is responsible for carrying out frequency division counting processing on the received square waves, so that frequency detection of the annular ground induction coils is achieved, vehicle information is obtained, and the processed vehicle information is transmitted to the intelligent control identification unit through a CAN bus and a network;
the intelligent control recognition unit accesses data received by the CAN bus and the network into the FPGA time sequence control processor, the FPGA time sequence control processor is responsible for carrying out time sequence matching on the received vehicle information, and the ARM processor is responsible for carrying out analysis processing on the vehicle information to finally obtain the weight, direction, lane crossing, speed and vehicle type information of the vehicle.
2. The device for distinguishing between retrograde and cross-track behavior in an off-site law enforcement system as claimed in claim 1 wherein the dc power supply 12VA supplied to the weigh acquisition unit is converted by a power conversion circuit into 5VDA to power the external sensors, differential signal amplification circuit, analog-to-digital converter and CAN bus driver circuit; the voltage is converted into 2.5V by a power conversion circuit to be used as the reference voltage of a differential signal amplifying circuit and an analog-to-digital converter; the power supply conversion circuit is converted into 3.3V to supply power for the CPU and peripheral circuits thereof and the gigabit network communication circuit.
3. The device for distinguishing between retrograde and cross-track behavior in an off-site law enforcement system as claimed in claim 1, wherein the dc power 12VB supplied to the vehicle detection unit is converted into 5VDB by a power conversion circuit to supply power to the oscillator circuit, the shaping circuit and the CAN bus driving circuit; the power supply conversion circuit is converted into 3.3V to supply power for the CPU and peripheral circuits thereof and the gigabit network circuit.
4. The device for distinguishing between reverse and cross-lane behavior of an off-site law enforcement system as claimed in claim 1 wherein the dc power supply 12VC supplied to said intelligent control identification unit is first converted by a power conversion circuit into a two-way 5V power supply, one way of 5VC supplies power to a CAN bus driver circuit, and the other way of 5VD supplies power to a two-way 232 communication circuit, an isolation circuit and a display circuit; the second path is converted into 3.3V by the power supply conversion circuit to supply power for the ARM processor and peripheral circuits thereof, the FPGA time sequence control processor and peripheral circuits, the SDRAM storage circuit, the Flash storage circuit and the gigabit network circuit; and the third path is converted into 1.8V by a power supply conversion circuit to supply power for an I/O power supply of the FPGA time sequence control processor.
5. The device of claim 1, wherein the signal amplification circuit selects two stages of amplification, the first stage of the amplification circuit selects an amplifier LMP2xxx for 125 times, the second stage of the amplification circuit selects a THS8xxx for two stages of amplification of the first stage signal, and the AD acquisition chip is driven.
6. The apparatus of claim 1, wherein the analog-to-digital converter comprises 4 sigma-delta analog-to-digital converters AD7xxx having 8 channels for synchronous sampling.
7. The device of claim 1 wherein the shaping circuit is selected from the group consisting of a voltage comparator LM33xx and an inverter CD40xx.
8. The device for distinguishing the retrograde and cross-track behaviors used by the off-site law enforcement system as claimed in claim 1, wherein the FPGA timing control processor is XC3Sxxx and the ARM processor is STM32F42xx.
9. The device for distinguishing between retrograde and cross-track behavior of an off-site law enforcement system as claimed in claim 1 wherein the vehicle detection unit CPU is STM32F40xx and the weighing and collecting unit CPU is STM32F42xx.
10. The system of claim 1, wherein the oscillator circuit is a three-point LC oscillator circuit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202222777290.3U CN218734338U (en) | 2022-10-20 | 2022-10-20 | Reverse and cross-road behavior identification device for off-site law enforcement system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202222777290.3U CN218734338U (en) | 2022-10-20 | 2022-10-20 | Reverse and cross-road behavior identification device for off-site law enforcement system |
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| Publication Number | Publication Date |
|---|---|
| CN218734338U true CN218734338U (en) | 2023-03-24 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202222777290.3U Active CN218734338U (en) | 2022-10-20 | 2022-10-20 | Reverse and cross-road behavior identification device for off-site law enforcement system |
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| Country | Link |
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| CN (1) | CN218734338U (en) |
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- 2022-10-20 CN CN202222777290.3U patent/CN218734338U/en active Active
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