CN112422697B - Comprehensive monitoring system and monitoring method for dangerous goods transport vehicle - Google Patents
Comprehensive monitoring system and monitoring method for dangerous goods transport vehicle Download PDFInfo
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Abstract
The invention relates to a dangerous goods transport vehicle comprehensive monitoring system and a monitoring method thereof, which comprises an on-site monitoring terminal, a wireless data communication gateway, a wireless communication antenna and a big data-based monitoring service platform, wherein the on-site monitoring terminal is connected with a dangerous goods transport vehicle, all on-site monitoring terminals on the same dangerous goods transport vehicle are mutually connected in parallel and are respectively connected with 1-2 wireless data communication gateways and at least one wireless communication antenna through network cables, and the wireless data communication gateway is electrically connected with the wireless communication antenna. The monitoring method comprises three steps of system networking, vehicle monitoring, data identification and the like. The invention can effectively meet the matched use requirements of various dangerous goods conveying vehicles; the invention can also comprehensively and accurately realize the comprehensive and accurate monitoring of the vehicle running state, the driving behavior of a driver and the storage and positioning state of dangerous goods when the vehicle runs, and can carry out prejudgment on the vehicle running state according to the monitoring data.
Description
Technical Field
The invention relates to a vehicle monitoring system, in particular to a comprehensive monitoring system and a monitoring method for a dangerous goods transport vehicle.
Background
At present, dangerous goods such as liquefied gas, alkali liquor, acidizing fluid pass through the vehicle transportation in-process, especially in long-distance transport, very easily because of road conditions factor, the bad driving action of navigating mate, navigating mate maloperation and vehicle bear the equipment trouble, lead to dangerous goods to leak, impaired circumstances such as take place, thereby to haulage vehicle, staff and the personnel around the haulage vehicle, vehicle and environment cause serious harm, to this problem, in order to dangerous goods transportation management, at present mainly load the vehicle operation with the help of positioning system based on GPS positioning system, big dipper positioning system etc. the route detects, although can satisfy the needs that the dangerous goods carried the control to a certain extent, but monitoring data is single, be difficult to effectively satisfy the needs of carrying out comprehensive and accurate monitoring operation to dangerous goods transport state in the transportation.
Meanwhile, the current detection system often only can monitor the current running state and historical running records of the dangerous goods transport vehicle, and meanwhile, the monitoring data is easy to delay due to unsmooth data communication, so that the monitoring flexibility and reliability of the dangerous goods transport vehicle are insufficient, the potential safety hazard possibly occurring in the vehicle transportation process cannot be accurately pre-judged, the running safety monitoring stability and reliability of the dangerous goods transport vehicle are relatively poor, and the use requirement is difficult to effectively meet.
Therefore, in view of the current situation, there is an urgent need to develop a new comprehensive monitoring system and monitoring method for the operation status of the transportation vehicle for dangerous goods, so as to meet the needs of actual work.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a comprehensive monitoring system and a monitoring method for a dangerous goods transport vehicle, so as to achieve the purposes of safety and reliability of dangerous goods transport.
In order to achieve the purpose, the invention is realized by the following technical scheme:
a comprehensive monitoring system for dangerous goods transport vehicles comprises an on-site monitoring terminal, a wireless data communication gateway, a wireless communication antenna and a big data-based supervision service platform, wherein the on-site monitoring terminal is connected with the dangerous goods transport vehicles, at least one on-site monitoring terminal is arranged in each dangerous goods transport vehicle, the on-site monitoring terminals are mutually connected in parallel, the on-site monitoring terminals on the same dangerous goods transport vehicle are mutually connected in parallel, and respectively establishes data connection with 1-2 wireless data communication gateways and at least one wireless communication antenna, and the wireless data communication gateways are electrically connected with the wireless communication antennas, the wireless data communication gateway and the wireless communication antenna are respectively in data connection with the big data-based supervision service platform through a wireless communication network, and the wireless communication antenna is in data connection with the big data-based supervision service platform through RFID communication.
Furthermore, the on-site monitoring terminal comprises a controller, detection platforms, detection frames, driving guide rails and detection mechanisms, wherein the controller is embedded in a vehicle cab and electrically connected with a vehicle main control circuit, the detection frames are of an Jiong-shaped frame structure and are positioned in a vehicle carriage and cover the upper end surface of the carriage, the axes of the detection frames are vertically distributed with the upper end surface of the carriage, the lower end surface of the detection frames is in sliding connection with the upper end surface of the carriage through the driving guide rails, at least two driving guide rails are embedded in the upper end surface of the carriage and are symmetrically distributed on two sides of the axis of the carriage, the driving guide rails are distributed in parallel with the axis of the carriage and are 1-10 cm higher than the upper end surface of the carriage, the two detection platforms are totally, one detection platform is positioned in the vehicle cab and is embedded in the vehicle central control platform, and the other detection platform is hinged with the lower end surface of the top of, the detection platform is of a sealed cavity structure with a rectangular axis section, at least one detection mechanism is arranged on each detection platform, the axes of the detection mechanisms positioned in the cab are distributed in parallel with the axis of the steering wheel of the vehicle, the axis of the detection mechanism positioned in the carriage forms an included angle of 0-90 degrees with the bottom of the carriage, and the driving guide rail and the detection mechanism are respectively and electrically connected with the controller.
Further, the controller comprises a bearing shell, a circuit system, a data communication bus, an MOS driving circuit, an I/O communication circuit, a crystal oscillator clock circuit, a GNSS satellite positioning device, a voltage stabilizing circuit and a connecting terminal, wherein the bearing shell is of a closed cavity structure, at least one connecting terminal is embedded on the outer surface of the bearing shell and is electrically connected with a wireless data communication gateway and a wireless communication antenna, the circuit system, the data communication bus, the MOS driving circuit, the I/O communication circuit, the crystal oscillator clock circuit, the GNSS satellite positioning device and the voltage stabilizing circuit are embedded in the bearing shell, the circuit system is electrically connected with the data communication bus and the voltage stabilizing circuit, the data communication bus is electrically connected with the MOS driving circuit, the I/O communication circuit, the crystal oscillator clock circuit, the GNSS satellite positioning device and the voltage stabilizing circuit, the MOS drive circuit is respectively and electrically connected with an I/O communication circuit and a voltage stabilizing circuit, and the I/O communication circuit is electrically connected with each wiring terminal.
Further, the detection mechanism comprises a CCD camera, a 3D camera, a temperature and humidity sensor, an air quality sensor, a pH sensor, an acceleration sensor, a three-dimensional gyroscope, an auxiliary illuminating lamp and a driving circuit, wherein the acceleration sensor, the three-dimensional gyroscope and the driving circuit are all embedded in the detection mechanism, the CCD camera, the 3D camera, the temperature and humidity sensor, the air quality sensor, the pH sensor and the auxiliary illuminating lamp are all embedded on the outer surface of the detection mechanism, the CCD camera, the 3D camera, the temperature and humidity sensor, the air quality sensor, the pH sensor, the acceleration sensor, the three-dimensional gyroscope and the auxiliary illuminating lamp are all electrically connected with the driving circuit, the optical axes of the CCD camera, the 3D camera and the auxiliary illuminating lamp are distributed in parallel, the CCD camera and the 3D camera are distributed around the auxiliary illuminating lamp, and the auxiliary illuminating lamp and the detection mechanism are coaxially distributed, the drive circuit is electrically connected with the controller.
Furthermore, the driving circuit is a circuit system based on any one of an FPGA chip and a DSP chip, and a data communication device is additionally arranged on the driving circuit.
Furthermore, the supervision service platform based on big data is additionally provided with a data processing program based on a convolutional neural network system, and is also additionally provided with an LSTM-based intelligent prediction system, a deep learning subsystem of the deep learning neural network system and a connected domain image identification subsystem based on binarization operation, wherein the LSTM-based intelligent prediction system, the deep learning subsystem and the connected domain image identification subsystem are connected with the data processing program based on the convolutional neural network system.
Furthermore, the wireless communication antenna is additionally provided with an RFID radio frequency communication device, the wireless communication antenna is connected with the on-site monitoring terminal electrical appliance through the RFID radio frequency communication device, and the wireless communication antenna comprises at least one omnidirectional antenna and at least one directional antenna.
A monitoring method of a dangerous goods transport vehicle comprehensive monitoring system comprises the following steps;
s1, system networking, firstly, installing each field monitoring terminal, wireless data communication gateway and wireless communication antenna which form the invention on a dangerous goods truck to be monitored, enabling a detection frame of the field monitoring terminal to be covered outside dangerous goods carried by a carriage, then establishing data connection between the field monitoring terminal and a supervision service platform based on big data through the wireless data communication gateway and the wireless communication antenna, allocating independent data communication addressing addresses and communication protocols for the field monitoring terminal, the wireless data communication gateway and the wireless communication antenna by the supervision service platform based on the big data, and allocating communication frequency for the wireless communication antenna;
s2, monitoring the vehicle, after the step S1 is completed, monitoring the running state of the vehicle in the running process of the vehicle, when monitoring the operation, firstly tracking and monitoring the running position and the running route of the vehicle by a GNSS satellite positioning device of a controller, simultaneously obtaining the running speed, the oil quantity, the running time of the vehicle and the surrounding road condition environment of the running vehicle from a vehicle control system by the controller, and then monitoring the environment in a cab and the driving behavior of a driver by a detection platform in a control room through a detection mechanism; monitoring the goods storage condition and storage environment in the carriage through a detection mechanism which is positioned in the carriage and connected with a detection platform on a detection frame, finally sending the data of the detection mechanism to a controller, processing the data by the controller, sending the processed data to a wireless data communication gateway and a wireless communication antenna, and establishing data connection between at least one of the wireless data communication gateway and the wireless communication antenna and a supervision service platform based on big data through a wireless communication network to realize data feedback;
s3, data identification, wherein after the big data-based supervision service platform receives the data fed back in the step S2, the big data-based supervision service platform directly displays the detected data through the display equipment of the big data-based supervision service platform, so that the requirement of data monitoring operation is met; the convolutional neural network system is used for carrying out operation analysis on the received data, acquiring the current vehicle running state according to the analysis result, synchronously carrying out prejudgment on potential safety hazards existing in the running of the vehicle, and synchronously displaying and alarming the prejudgment result through display equipment of a supervision service platform based on big data, so that the requirement of monitoring operation on dangerous goods vehicles is met.
The system has simple structure, flexible and convenient use and good universality, and can effectively meet the matched use requirements of various dangerous goods conveying vehicles; on the other hand, in the operation process, the vehicle operation state, the driving behavior of a driver and the storage and positioning state of dangerous goods can be comprehensively and accurately monitored during the operation of the vehicle, and the vehicle operation state can be pre-judged according to the monitoring data, so that the safety and the reliability of the operation process of the dangerous goods transport vehicle can be monitored in the front.
Drawings
The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic structural diagram of an on-site monitoring terminal;
FIG. 3 is a view of the detecting mechanism installed with the positioning structure;
FIG. 4 is a schematic diagram of the electrical schematic of the controller;
FIG. 5 is a flow chart of the method of the present invention.
The reference numbers in the figures: the monitoring system comprises an on-site monitoring terminal 1, a wireless data communication gateway 2, a wireless communication antenna 3, a big data-based supervision service platform 4, a controller 11, a detection table 12, a detection frame 13, a driving guide rail 14, a detection mechanism 15, a rotary table mechanism 16, a bearing shell 101, a wiring terminal 102, a CCD camera 151, a 3D camera 152, a temperature and humidity sensor 153, an air quality sensor 154, a pH sensor 155, an acceleration sensor 156, a three-dimensional gyroscope 157, an auxiliary illuminating lamp 158 and a driving circuit 159.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
As shown in FIGS. 1-4, a comprehensive monitoring system for dangerous cargo transportation vehicles comprises on-site monitoring terminals 1, wireless data communication gateways 2, wireless communication antennas 3 and a supervision service platform 4 based on big data, wherein the on-site monitoring terminals 1 are connected with the dangerous cargo transportation vehicles, at least one on-site monitoring terminal 1 is arranged in each dangerous cargo transportation vehicle, the on-site monitoring terminals 1 are connected in parallel, the on-site monitoring terminals 1 on the same dangerous cargo transportation vehicle are connected in parallel, and are respectively connected with 1-2 wireless data communication gateways 2 and at least one wireless communication antenna 3, and the wireless data communication gateways 2 are electrically connected with the wireless communication antennas 3 to form a detection group, the wireless data communication gateways 2 and the wireless communication antennas 3 are respectively connected with the supervision service platform 4 based on big data through a wireless communication network, the wireless communication antenna 3 is in data connection with the supervision service platform 4 based on big data through RFID communication.
In this embodiment, the on-site monitoring terminal 1 includes a controller 11, two detection platforms 12, two detection frames 13, two driving guide rails 14, and two detection mechanisms 15, wherein the controller 11 is embedded in a vehicle cab and electrically connected to a vehicle main control circuit, the detection frames 13 are in an Jiong-shaped frame structure, are located in the vehicle cab and cover the upper end surface of the vehicle cab, the axes of the detection frames 13 are vertically distributed with the upper end surface of the vehicle cab, the lower end surface of the detection frames 13 is slidably connected with the upper end surface of the vehicle cab through the driving guide rails 14, at least two driving guide rails 14 are embedded in the upper end surface of the vehicle cab and symmetrically distributed on two sides of the axis of the vehicle cab, the driving guide rails 14 are distributed in parallel with the axis of the vehicle cab and are 1-10 cm higher than the upper end surface of the vehicle cab, one detection platform 12 is located in the vehicle cab and embedded in the vehicle central control platform, the other detection platform 12 is hinged to the lower end surface of the top, the detection tables 12 are of a closed cavity structure with a rectangular axial section, at least one detection mechanism 15 is arranged on each detection table 12, the axes of the detection mechanisms 15 located in the cab are distributed in parallel with the axis of the steering wheel of the vehicle, the axis of the detection mechanism 15 located in the carriage forms an included angle of 0-90 degrees with the bottom of the carriage, and the driving guide rail 14 and the detection mechanism 15 are electrically connected with the controller 11 respectively.
The controller 11 includes a bearing shell 101, a circuit system, a data communication bus, an MOS drive circuit, an I/O communication circuit, a crystal oscillator clock circuit, a GNSS satellite positioning device, a voltage regulator circuit, and a connection terminal 102, wherein the bearing shell 101 is a closed cavity structure, at least one connection terminal 102 is embedded in the outer surface of the bearing shell 101 and electrically connected to the wireless data communication gateway 2 and the wireless communication antenna 3, the circuit system, the data communication bus, the MOS drive circuit, the I/O communication circuit, the crystal oscillator clock circuit, the GNSS satellite positioning device, and the voltage regulator circuit are all embedded in the bearing shell 101, wherein the circuit system is electrically connected to the data communication bus and the voltage regulator circuit, and the data communication bus is further electrically connected to the MOS drive circuit, the I/O communication circuit, the crystal oscillator clock circuit, the GNSS satellite positioning device, the data communication bus, the MOS drive circuit, the I/O communication, The voltage stabilizing circuit is electrically connected, the MOS drive circuit is electrically connected with the I/O communication circuit and the voltage stabilizing circuit respectively, and the I/O communication circuit is electrically connected with each wiring terminal 102.
Meanwhile, the detection mechanism 15 includes a CCD camera 151, a 3D camera 152, a temperature and humidity sensor 153, an air quality sensor 154, a pH sensor 155, an acceleration sensor 156, a three-dimensional gyroscope 157, an auxiliary illuminating lamp 158, and a driving circuit 159, the acceleration sensor 156, the three-dimensional gyroscope 157, and the driving circuit 159 are all embedded in the detection mechanism 15, the CCD camera 151, the 3D camera 152, the temperature and humidity sensor 153, the air quality sensor 154, the pH sensor 155, and the auxiliary illuminating lamp 158 are embedded on the outer surface of the detection mechanism 15, the CCD camera 151, the 3D camera 152, the temperature and humidity sensor 153, the air quality sensor 154, the pH sensor 155, the acceleration sensor 156, the three-dimensional gyroscope 157, and the auxiliary illuminating lamp 158 are all electrically connected to the driving circuit 159, and the optical axes of the CCD camera 151, the 3D camera 152, and the auxiliary illuminating lamp 158 are distributed in parallel, the CCD camera 151 and the 3D camera 152 are distributed around the auxiliary illuminating lamp 158, the auxiliary illuminating lamp 158 is coaxially distributed with the detecting mechanism 15, and the driving circuit 159 is electrically connected to the controller 11.
Preferably, the driving circuit 159 is a circuit system based on any one of FPGA and DSP chips, and the driving circuit 159 is further provided with a data communication device.
In this embodiment, the big data based monitoring service platform 4 is additionally provided with a data processing program based on a convolutional neural network system, and is also additionally provided with an LSTM based intelligent prediction system, a deep learning subsystem of the deep learning neural network system, and a connected domain image identification subsystem based on binarization operation, which are connected with the data processing program based on the convolutional neural network system.
It should be noted that the wireless communication antenna 3 is additionally provided with an RFID radio frequency communication device, the wireless communication antenna 3 is electrically connected with the on-site monitoring terminal 1 through the RFID radio frequency communication device, and the wireless communication antenna 3 includes at least one omnidirectional antenna and at least one directional antenna.
As shown in fig. 5, a monitoring method of a comprehensive monitoring system for a transportation vehicle for dangerous goods comprises the following steps;
s1, system networking, namely, firstly installing each on-site monitoring terminal 1, wireless data communication gateway 2 and wireless communication antenna 3 which form the invention on a dangerous goods truck to be monitored, enabling a detection frame 13 of the on-site monitoring terminal 1 to be covered outside dangerous goods carried by a carriage, then establishing data connection between the on-site monitoring terminal 1 and a supervision service platform 4 based on big data through the wireless data communication gateway 2 and the wireless communication antenna 3, allocating independent data communication addressing addresses and communication protocols for the on-site monitoring terminal 1, the wireless data communication gateway 2 and the wireless communication antenna 3 by the supervision service platform 4 based on big data, and allocating communication frequencies for the wireless communication antenna 3;
s2, monitoring the vehicle, after the step S1 is completed, monitoring the running state of the vehicle in the running process of the vehicle, when monitoring the operation, firstly tracking and monitoring the running position and the running route of the vehicle by a GNSS satellite positioning device of the controller 11, simultaneously obtaining the running speed, the oil quantity, the running time of the vehicle and the surrounding road condition environment of the running vehicle from a vehicle control system by the controller 11, and then monitoring the environment in the cab and the driving behavior of a driver by a detection platform 12 in the control room through a detection mechanism 15; the storage condition and the storage environment of goods in the carriage are monitored through a detection mechanism 15 which is positioned in the carriage and connected with a detection table 12 on a detection frame 13, finally, data of the detection mechanism 15 are sent to a controller 11, the controller 11 processes the data and then sends the data to a wireless data communication gateway 2 and a wireless communication antenna 3, and at least one of the wireless data communication gateway 2 and the wireless communication antenna 3 establishes data connection with a supervision service platform 4 based on big data through a wireless communication network to realize data feedback;
s3, data identification, wherein after the big data-based supervision service platform 4 receives the data fed back in the step S2, on one hand, the big data-based supervision service platform 4 directly displays the detected data through the display equipment of the big data-based supervision service platform 4, so that the requirement of data monitoring operation is met; on the other hand, the supervision service platform 4 based on big data performs operation analysis on the received data through a convolutional neural network system, obtains the current vehicle running state according to the analysis result, synchronously performs prejudgment on potential safety hazards existing in the vehicle running process, and synchronously displays and alarms the prejudgment result through the display equipment of the supervision service platform 4 based on big data, so that the requirement of monitoring operation on dangerous goods vehicles is met.
The system has simple structure, flexible and convenient use and good universality, and can effectively meet the matched use requirements of various dangerous goods conveying vehicles; on the other hand, in the operation process, the vehicle operation state, the driving behavior of a driver and the storage and positioning state of dangerous goods can be comprehensively and accurately monitored during the operation of the vehicle, and the vehicle operation state can be pre-judged according to the monitoring data, so that the safety and the reliability of the operation process of the dangerous goods transport vehicle can be monitored in the front.
It will be appreciated by persons skilled in the art that the present invention is not limited by the embodiments described above. The foregoing embodiments and description have been presented only to illustrate the principles of the invention. Various changes and modifications can be made without departing from the spirit and scope of the invention. Such variations and modifications are intended to be within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (4)
1. The utility model provides a hazardous articles cargo transportation vehicle integrated monitoring system which characterized in that: the comprehensive monitoring system for the dangerous goods transport vehicles comprises field monitoring terminals (1), wireless data communication gateways (2), wireless communication antennas (3) and a monitoring service platform (4) based on big data, wherein the field monitoring terminals (1) are connected with the dangerous goods transport vehicles, at least one field monitoring terminal (1) is arranged in each dangerous goods transport vehicle, the field monitoring terminals (1) are connected in parallel, the field monitoring terminals (1) on the same dangerous goods transport vehicle are connected in parallel, data connection is established between the field monitoring terminals and the wireless data communication gateways (2) and the at least one wireless communication antenna (3), the wireless data communication gateways (2) are electrically connected with the wireless communication antennas (3) to form a detection group, and the wireless data communication gateways (2) and the wireless communication antennas (3) are electrically connected to form a detection group, The wireless communication antenna (3) is respectively in data connection with the big data-based supervision service platform (4) through a wireless communication network, and the wireless communication antenna (3) is in data connection with the big data-based supervision service platform (4) through RFID communication; the on-site monitoring terminal (1) comprises a controller (11), a detection platform (12), a detection frame (13), a driving guide rail (14) and a detection mechanism (15), wherein the controller (11) is embedded in a vehicle cab and is electrically connected with a vehicle main control circuit, the detection frame (13) is of an Jiong-shaped frame structure, is positioned in the vehicle cab and covers the upper end face of the cab, the axis of the detection frame (13) is vertically distributed with the upper end face of the cab, the lower end face of the detection frame (13) is in sliding connection with the upper end face of the cab through the driving guide rail (14), at least two driving guide rails (14) are embedded in the upper end face of the cab and are symmetrically distributed on two sides of the axis of the cab, the driving guide rails (14) are distributed in parallel with the axis of the cab and are 1-10 cm higher than the upper end face of the cab, the detection platforms (12) are totally two, one detection platform (12) is positioned in the vehicle cab and is embedded, another detect platform (12) and detect frame (13) top lower terminal surface and articulate through revolving stage mechanism (16), it is the airtight cavity structure of rectangle to detect platform (12) for the axis cross-section, and every detects and all establishes at least one detection mechanism (15) on platform (12), wherein be located detection mechanism (15) axis and vehicle steering wheel axis parallel distribution in the driver's cabin, detection mechanism (15) axis that is located the carriage is 0-90 contained angle with the carriage bottom, just drive guide rail (14), detection mechanism (15) respectively with controller (11) electrical connection, detection mechanism (15) include CCD camera (151), 3D camera (152), temperature and humidity sensor (153), air quality sensor (154), pH sensor (155), acceleration sensor (156), three-dimensional gyroscope (157), auxiliary lighting lamp (158), The driving circuit (159), the acceleration sensor (156), the three-dimensional gyroscope (157) and the driving circuit (159) are all embedded in the detection mechanism (15), the CCD camera (151), the 3D camera (152), the temperature and humidity sensor (153), the air quality sensor (154), the pH sensor (155) and the auxiliary illuminating lamp (158) are embedded on the outer surface of the detection mechanism (15), the CCD camera (151), the 3D camera (152), the temperature and humidity sensor (153), the air quality sensor (154), the pH sensor (155), the acceleration sensor (156), the three-dimensional gyroscope (157) and the auxiliary illuminating lamp (158) are all electrically connected with the driving circuit (159), the optical axes of the CCD camera (151), the 3D camera (152) and the auxiliary illuminating lamp (158) are distributed in parallel, and the CCD camera (151) and the 3D camera (152) are distributed around the auxiliary illuminating lamp (158), the auxiliary illuminating lamp (158) and the detection platform (12) are coaxially distributed, the driving circuit (159) is electrically connected with the controller (11), the supervision service platform (4) based on big data is additionally provided with a data processing program based on a convolutional neural network system, and is also additionally provided with an LSTM-based intelligent prediction system, a deep learning subsystem of the deep learning neural network system and a connected domain image identification subsystem based on binarization operation, the LSTM-based intelligent prediction system is connected with the data processing program based on the convolutional neural network system, the controller (11) comprises a bearing shell (101), a circuit system, a data communication bus, an MOS driving circuit, an I/O communication circuit, a crystal oscillator clock circuit, a GNSS satellite positioning device, a voltage stabilizing circuit and a wiring terminal (102), wherein the bearing shell (101) is of a closed cavity structure, and at least one wiring terminal (102), the circuit system, the data communication bus, the MOS drive circuit, the I/O communication circuit, the crystal oscillator clock circuit, the GNSS satellite positioning device and the voltage stabilizing circuit are all embedded in the bearing shell (101), the circuit system is electrically connected with the data communication bus and the voltage stabilizing circuit, the data communication bus is further electrically connected with the MOS drive circuit, the I/O communication circuit, the crystal oscillator clock circuit, the GNSS satellite positioning device and the voltage stabilizing circuit, the MOS drive circuit is further electrically connected with the I/O communication circuit and the voltage stabilizing circuit respectively, and the I/O communication circuit is electrically connected with each wiring terminal (102).
2. The integrated hazardous cargo transport vehicle monitoring system of claim 1, wherein: the driving circuit (159) is a circuit system based on any one of FPGA and DSP chips, and the driving circuit (159) is additionally provided with a data communication device.
3. The integrated hazardous cargo transport vehicle monitoring system of claim 1, wherein: the wireless communication antenna (3) is additionally provided with an RFID radio frequency communication device, the wireless communication antenna (3) is electrically connected with the on-site monitoring terminal (1) through the RFID radio frequency communication device, and the wireless communication antenna (3) comprises at least one omnidirectional antenna and at least one directional antenna.
4. The monitoring method of the integrated monitoring system for dangerous goods transportation vehicles according to claim 1, wherein: comprises the following steps;
s1, system networking, namely, firstly, installing each field monitoring terminal (1), a wireless data communication gateway (2) and a wireless communication antenna (3) on a dangerous goods truck to be monitored, enabling a detection frame (13) of the field monitoring terminal (1) to cover the dangerous goods loaded on a carriage, then establishing data connection between the field monitoring terminal (1) and a supervision service platform (4) based on big data through the wireless data communication gateway (2) and the wireless communication antenna (3), allocating independent data communication addressing addresses and communication protocols for the field monitoring terminal (1), the wireless data communication gateway (2) and the wireless communication antenna (3) through the supervision service platform (4) based on the big data, and allocating communication frequencies for the wireless communication antenna (3);
s2, monitoring the vehicle, after the step S1 is completed, monitoring the running state of the vehicle in the running process of the vehicle, when monitoring the operation, firstly tracking and monitoring the running position and the running route of the vehicle by a GNSS satellite positioning device of a controller (11), simultaneously obtaining the running speed, the oil quantity, the running time of the vehicle and the road condition environment around the running of the vehicle from a vehicle control system by the controller (11), and then monitoring the environment in a driving cab and the driving behavior of a driver by a detection platform (12) in a control room through a detection mechanism (15); the goods storage condition and the storage environment in the carriage are monitored through a detection mechanism (15) which is positioned in the carriage and connected with a detection platform (12) on a detection frame (13), finally, data of the detection mechanism (15) are sent to a controller (11), the data are sent to a wireless data communication gateway (2) and a wireless communication antenna (3) after being processed by the controller (11), and data connection is established between the wireless data communication gateway (2) and at least one of the wireless communication antenna (3) and a supervision service platform (4) based on big data through a wireless communication network, so that data feedback is realized;
s3, data identification, wherein after the big data-based supervision service platform (4) receives the data fed back in the step S2, on one hand, the detected data is directly displayed through the display equipment of the big data-based supervision service platform (4), so that the requirement of data monitoring operation is met; the convolutional neural network system is used for carrying out operation analysis on the received data, synchronously carrying out prejudgment on potential safety hazards existing in the running of the vehicle while obtaining the current vehicle running state according to the analysis result, and synchronously displaying and alarming the prejudgment result through display equipment of a supervision service platform (4) based on big data, so that the requirement of monitoring operation on dangerous goods vehicles is met.
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