CN110995771A - Freight train land transportation monitoring management system based on thing networking - Google Patents
Freight train land transportation monitoring management system based on thing networking Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- H04L67/125—Protocols 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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- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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Abstract
The embodiment of the invention discloses a freight car land transportation monitoring and management system based on the Internet of things, which comprises a vehicle-mounted terminal and a cloud server, wherein the vehicle-mounted terminal comprises a vehicle-mounted environment information acquisition module, a GPS module, a driving state information acquisition module, a driver fatigue degree information acquisition module, a wireless communication module and a processor module, and the vehicle-mounted terminal is in remote communication connection with the cloud server through the wireless communication module. The freight car land transportation monitoring management system has the advantages that the freight car land transportation monitoring management system can be used for intelligently sensing the states of the freight car and the driver in the freight car land transportation by simultaneously detecting the running environment information outside the freight car, the running state information of the freight car and the fatigue degree information of the driver and detecting the running special event of the freight car and the fatigue degree of the driver based on the information, the logistics informatization degree of the freight car market is improved by building the internet of things type freight car land transportation monitoring management system, and the construction of a credit system between the freight car and the freight car is promoted.
Description
Technical Field
The embodiment of the invention relates to the technical field of Internet of things, in particular to a freight car land transportation monitoring and management system based on the Internet of things.
Background
According to statistics, in the aspect of land transportation of trucks, more than 2000 million trucks exist in China, more than 3000 million truck drivers exist, annual freight transportation amount reaches 300 million tons, annual freight transportation turnover amount reaches 7 trillion tons kilometers, and the business scale of the whole monitoring industry reaches 5 trillion. However, the current freight market is low in informatization degree and lacks of industry informatization standards, so that technologies related to the technology, such as intelligent manufacturing, internet of vehicles and the like, cannot be subjected to effective industry landing in time, and information intercommunication and operation efficiency improvement of each element in the whole logistics monitoring network are hindered. In addition, the lack of a credit system between the goods and the vehicles and the incomplete safety control scheme in the transportation process cause the problems of scattering, disorder, poor, danger, weakness and the like in the monitoring process to continuously trouble the groups of goods owners and drivers, and simultaneously, the service quality of the whole industrial chain is directly influenced.
Disclosure of Invention
Therefore, the embodiment of the invention provides a freight car land transportation monitoring and management system based on the Internet of things, and aims to solve the problems that the existing freight market is low in informatization degree and an incomplete transportation process safety control scheme is provided.
In order to achieve the above object, the embodiments of the present invention provide the following technical solutions: a freight train land transportation monitoring and management system based on the Internet of things comprises a vehicle-mounted terminal and a cloud server;
the vehicle-mounted terminal comprises an external environment information acquisition module, a driving state information acquisition module, a driver fatigue degree information acquisition module, a processor module and a wireless communication module, wherein the external environment information acquisition module, the driving state information acquisition module, the driver fatigue degree information acquisition module and the wireless communication module are all connected to the processor module;
the external environment information acquisition module is used for acquiring external running environment information in the running process of the truck;
the running state information acquisition module comprises a GPS module, a truck running parameter acquisition module and a motion sensor module, wherein the GPS module is used for acquiring running position information of a truck, the truck running parameter acquisition module is used for acquiring truck running parameter information displayed by a truck instrument panel, and the motion sensor module is used for monitoring motion state information of the truck;
the driver fatigue information acquisition module is used for monitoring the blinking or eye closing behavior information of a driver;
the processor module is used for detecting a special event of the truck running according to the environment information, the running position information, the parameter information and the motion state information of the truck running outside the vehicle, detecting the fatigue degree of a driver according to the blinking or eye-closing behavior information of the driver, and sending information segments acquired in a period of time before and after the occurrence of the special event of the truck running or the fatigue driving of the driver to the cloud server;
the vehicle-mounted terminal is in remote communication connection with the cloud server through a wireless communication module.
Further, the truck-driving special event includes sudden acceleration, sudden deceleration, or sudden turn.
Furthermore, the system further comprises an intelligent terminal, and the intelligent terminal is in communication connection with the cloud server through an application program APP.
Further, the wireless communication module comprises a 4G module, a 5G module or a Wifi module.
Furthermore, the number of the vehicle-mounted terminals is multiple, and the vehicle-mounted terminals are in communication connection with the cloud server.
Further, the driver fatigue information acquisition module is also used for acquiring driver face image information so as to register and authenticate the identity of the driver through face recognition.
Further, the truck driving parameter information comprises vehicle speed, fuel consumption and mileage information.
Further, the blinking or eye-closing behavior information includes blinking frequency and eye-closing duration information.
Further, the intelligent terminal comprises a mobile phone and a tablet computer.
The embodiment of the invention has the following advantages:
the invention provides a freight car land transportation monitoring and management system based on the Internet of things, which comprises a car-mounted terminal and a cloud server, wherein the car-mounted terminal comprises an external environment information acquisition module, a driving state information acquisition module, a driver fatigue degree information acquisition module, a wireless communication module and a processor module, the external environment information acquisition module, the driving state information and the driver fatigue degree information of the freight car are simultaneously detected, and the special event of the freight car driving and the driver fatigue degree are detected based on the information, so that the intelligent and timely perception of the states of the freight car and the driver in the freight car land transportation process is realized, the logistics informatization degree of a freight market is improved by building a freight car land transportation monitoring and management system based on Internet of things, a freight owner or a manager can conveniently master freight dynamic information in time, and the construction of a credit system between the freight car and the freight car is promoted, the method helps to carry out industrial upgrading on bulk commodity freight logistics with low intelligentization degree, and accelerates the intelligentization development process.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
Fig. 1 is a schematic structural diagram of a truck land transportation monitoring and management system based on the internet of things according to embodiment 1 of the present invention;
fig. 2 is a schematic structural diagram of a vehicle-mounted terminal of a truck land transportation monitoring and management system based on the internet of things according to embodiment 1 of the present invention;
fig. 3 is a schematic structural diagram of a running state information acquisition module of a truck land transportation monitoring and management system based on the internet of things, which is provided by embodiment 1 of the present invention.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
As shown in fig. 1, the truck land transportation monitoring and management system based on the internet of things includes a vehicle-mounted terminal 100, a cloud server 200 and an intelligent terminal 300.
As shown in fig. 2, the in-vehicle terminal 100 includes an external environment information acquisition module 110, a driving state information acquisition module 120, a driver fatigue degree information acquisition module 130, a wireless communication module 140, and a processor module 150, and the driving state information acquisition module 120, the driver fatigue degree information acquisition module 130, and the wireless communication module 140 are all connected to the processor module 150.
The vehicle exterior environment information acquisition module 110 is used for acquiring vehicle exterior running environment information in the running process of the truck. Specifically, the external environment information acquisition module 110 includes an image acquisition device such as a camera, and captures and records the external environment information such as the front of the truck during the driving process of the truck.
As shown in fig. 3, the driving state information collecting module 120 includes a GPS module 121, a truck driving parameter collecting module 122, and a motion sensor module 123. The GPS module 121 is configured to acquire the driving position information of the truck, implement real-time monitoring of the driving position of the truck, and support a GPS positioning accuracy of 2 meters. The truck driving parameter acquisition module 122 is configured to acquire truck driving parameter information displayed on a truck instrument panel, and the truck driving parameter acquisition module 122 includes an image acquisition device such as a camera, and acquires truck driving parameters recorded by the instrument panel after image processing and recognition are performed by the processor module 150 by shooting driving parameters displayed on the truck instrument panel. Further, the truck driving parameter information comprises vehicle speed, fuel consumption and mileage information.
The motion sensor module 123 is used to monitor the motion status information of the truck. The motion sensor module 123 uses a high-precision motion sensor, such as an accelerometer, a gyroscope, or the like, to obtain the motion state information of the truck in real time. The real-time data detection and analysis sampling rate of the motion sensor is not lower than 100 times/second.
The driver fatigue information collecting module 130 is used for monitoring the blinking or eye-closing behavior information of the driver. Further, the blinking or eye-closing behavior information includes blinking frequency and eye-closing duration information. In the driving process of the truck, frequent blinking or long-time eye closing behaviors of a driver can be caused due to fatigue of the driver, and the blinking and eye closing behaviors of the driver are detected through image recognition based on the driving time of a driver user, so that the fatigue degree of the user can be effectively detected. Fatigue detection is performed based on eye characteristics, cost is relatively low, the vehicle does not need to be changed, and accuracy is higher. Further, the driver fatigue information collecting module 130 is further configured to obtain driver face image information so as to register and authenticate the identity of the driver through face recognition.
The processor module 150 is configured to perform truck driving special event detection according to the vehicle external driving environment information, the driving position information, the truck driving parameter information, and the motion state information, perform driver fatigue detection according to blink or eye closure behavior information of the driver, and send information segments acquired within a period of time before and after occurrence of the truck driving special event or fatigue driving of the driver to the cloud server. Further, the truck-running special event includes abnormal driving behaviors such as sudden acceleration, sudden deceleration, or sudden turning. The method comprises the steps of detecting and analyzing whether a truck has abnormal driving special events such as sudden acceleration, deceleration or turning or fatigue driving when detecting that the fatigue degree of a driver reaches a threshold value or whether the truck has abnormal driving special events or fatigue driving when detecting that the truck has abnormal driving, sending evidence information segments collected before and after the event or before and after the abnormal driving (such as within 30 s) to a cloud server for further identification or verification if detecting that the truck has abnormal driving special events or fatigue driving, wherein the information can be used for a shipper or a manager to master related information in the freight transportation process in time, and can be used as evidence of abnormal driving behaviors when the freight transportation is unsafe, compared with the method that all the collected related information is uploaded in the cloud, and the information segment with abnormal driving behaviors is selected for data transmission, so that the transmission bandwidth can be effectively saved, and the calculation and transmission cost is reduced.
In this embodiment, the low-cost and low-power consumption GPS module 121, the truck driving parameter acquisition module 122, and the motion sensor are selected to acquire corresponding data, and a high-precision image acquisition device is selected to shoot and record the driving environment outside the vehicle, so that the device operation of the vehicle-mounted terminal 100 can be reduced, and the requirement for information transmission bandwidth can be reduced. Initially, the truck driving special event detection model needs to be trained, the vehicle external environment information data collected by the vehicle external environment information collection module 110 in a period of time before and after is used as a truth value standard, the data collected by the low-cost and low-power-consumption GPS module 121, the truck driving parameter collection module 122 and the motion sensor are calibrated to complete model training and learning of abnormal driving behaviors, and the model is constructed and optimized with a low missing recognition rate as a target.
The vehicle-mounted terminal 100 is connected with the cloud server 200 through the wireless communication module 140 in a remote communication manner, and uploads the acquired running position information of the truck, the truck running parameter information, the motion state information and the external running environment image information to the cloud server 200, further, the wireless communication module 140 includes a 4G module, a 5G module or a Wifi module, etc., in this embodiment, the 4G module is selected, and the 4G wireless transmission bandwidth is 100 Kb/s. The number of the in-vehicle terminals 100 may be multiple, and the multiple in-vehicle terminals 100 are all in communication connection with the cloud server 200.
Further, the system further comprises an intelligent terminal 300, and the intelligent terminal 300 is in communication connection with the cloud server 200 through an application program APP. Further, the smart terminal 300 includes a mobile phone and a tablet computer. And visually displaying the acquired truck driving state information and driver state information with abnormal driving behaviors through an application program APP, so that a shipper can conveniently and timely master the cargo transportation dynamic and help right maintenance when a cargo transportation unsafe event occurs.
The truck land transportation monitoring and management system based on the Internet of things provided by the embodiment simultaneously detects the running environment information outside the truck, the running state information of the truck and the fatigue degree information of a driver and detects the running special event of the truck and the fatigue degree of the driver based on the information, thereby realizing intelligent and timely perception of the states of the truck and the driver in the truck land transportation process, improving the logistics informatization degree of a freight market by building the truck land transportation monitoring and management system based on Internet of things, facilitating a shipper or a manager to timely master dynamic freight information, promoting the construction of a credit system between the truck and the truck, helping a large commodity freight logistics with lower intelligentization degree to perform industrial upgrading, and accelerating the development process of intellectualization.
Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (9)
1. A freight train land transportation monitoring and management system based on the Internet of things is characterized by comprising a vehicle-mounted terminal and a cloud server;
the vehicle-mounted terminal comprises an external environment information acquisition module, a driving state information acquisition module, a driver fatigue degree information acquisition module, a processor module and a wireless communication module, wherein the external environment information acquisition module, the driving state information acquisition module, the driver fatigue degree information acquisition module and the wireless communication module are all connected to the processor module;
the external environment information acquisition module is used for acquiring external running environment information in the running process of the truck;
the running state information acquisition module comprises a GPS module, a truck running parameter acquisition module and a motion sensor module, wherein the GPS module is used for acquiring running position information of a truck, the truck running parameter acquisition module is used for acquiring truck running parameter information displayed by a truck instrument panel, and the motion sensor module is used for monitoring motion state information of the truck;
the driver fatigue information acquisition module is used for monitoring the blinking or eye closing behavior information of a driver;
the processor module is used for detecting a special event of the truck running according to the environment information, the running position information, the parameter information and the motion state information of the truck running outside the vehicle, detecting the fatigue degree of a driver according to the blinking or eye-closing behavior information of the driver, and sending information segments acquired in a period of time before and after the occurrence of the special event of the truck running or the fatigue driving of the driver to the cloud server;
the vehicle-mounted terminal is in remote communication connection with the cloud server through a wireless communication module.
2. An internet of things based truck land transportation monitoring management system as claimed in claim 1, wherein the truck driving special event comprises sudden acceleration, sudden deceleration or sudden turn.
3. The Internet of things-based truck land transportation monitoring and management system as claimed in claim 1, further comprising an intelligent terminal, wherein the intelligent terminal is in communication connection with the cloud server through an application program APP.
4. The Internet of things-based truck land transportation monitoring and management system as claimed in claim 1, wherein the wireless communication module comprises a 4G module, a 5G module or a Wifi module.
5. The Internet of things-based truck land transportation monitoring and management system as claimed in claim 1, wherein the number of the vehicle-mounted terminals is multiple, and the multiple vehicle-mounted terminals are in communication connection with the cloud server.
6. The Internet of things-based truck land transportation monitoring and management system as claimed in claim 1, wherein the driver fatigue degree information acquisition module is further used for acquiring driver face image information so as to register and authenticate the identity of the driver through face recognition.
7. The Internet of things-based truck land transportation monitoring and management system as claimed in claim 1, wherein the truck driving parameter information comprises vehicle speed, fuel consumption and mileage information.
8. The Internet of things-based truck land transportation monitoring management system as claimed in claim 1, wherein the blink or eye-closing behavior information comprises blink frequency and eye-closing time length information.
9. The Internet of things-based truck land transportation monitoring and management system as claimed in claim 3, wherein the intelligent terminal comprises a mobile phone and a tablet computer.
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| CN201910393093.1A CN110995771A (en) | 2019-05-13 | 2019-05-13 | Freight train land transportation monitoring management system based on thing networking |
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| CN114419867A (en) * | 2022-03-02 | 2022-04-29 | 浙江工业大学 | Truck load cloud alarm system based on internet of things |
| CN115331457A (en) * | 2022-05-17 | 2022-11-11 | 重庆交通大学 | Vehicle speed management method and system |
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| CN111619447A (en) * | 2020-05-14 | 2020-09-04 | 吴韵驰 | Dynamic monitoring and early warning system and method for large vehicle |
| CN111738570A (en) * | 2020-06-05 | 2020-10-02 | 苏州华易通物流有限公司 | Logistics management system based on internet |
| CN112202897A (en) * | 2020-09-30 | 2021-01-08 | 重庆市海普软件产业有限公司 | Low-power consumption intelligent internet of things gateway |
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| CN113470434A (en) * | 2021-07-16 | 2021-10-01 | 神骅供应链科技(上海)有限公司 | Transport capacity vehicle management system based on Internet of things |
| CN114419867A (en) * | 2022-03-02 | 2022-04-29 | 浙江工业大学 | Truck load cloud alarm system based on internet of things |
| CN115331457A (en) * | 2022-05-17 | 2022-11-11 | 重庆交通大学 | Vehicle speed management method and system |
| CN115331457B (en) * | 2022-05-17 | 2024-03-29 | 重庆交通大学 | Vehicle speed management method and system |
| CN117202190A (en) * | 2023-11-07 | 2023-12-08 | 北京市运输事业发展中心 | Freight vehicle management method based on security authentication and electronic equipment |
| CN117202190B (en) * | 2023-11-07 | 2024-02-13 | 北京市运输事业发展中心 | Freight vehicle management method based on security authentication and electronic equipment |
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