CN113436365A - Vehicle-mounted edge computing gateway equipment and system - Google Patents
Vehicle-mounted edge computing gateway equipment and system Download PDFInfo
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- G—PHYSICS
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- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
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- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
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- G—PHYSICS
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- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
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Abstract
The invention belongs to the technical field of logistics monitoring, and particularly relates to a vehicle-mounted edge computing gateway device and a system, aiming at solving the problem of insufficient computing capability of logistics monitoring edges in the prior art. The method solves the defect that a client has to adopt multi-platform detection equipment when the demand is various and the demand is increased, and simultaneously reduces the corresponding platform service, communication cost and other operation costs, thereby realizing cost reduction and efficiency improvement.
Description
Technical Field
The invention belongs to the technical field of logistics monitoring, and particularly relates to vehicle-mounted edge computing gateway equipment and a system.
Background
The rapid development of electricity merchant, give each field of commodity circulation and all bring opportunity and challenge, some uncontrollable factors transparence in the past make, the responsibility, the ripe controllable wisdom commodity circulation solution of urgent need, the thing networking rapidly developed has produced diversified solution, GPS vehicle positioning, the goods is tracked, commodity circulation electronic lock, cold chain vehicle temperature and humidity detection, tired driving detects, various demand solutions such as vehicle condition oil consumption detection, data are uploaded to the cloud platform through mobile network after being gathered by terminal equipment, provide various application service by the cloud platform.
In order to solve the problems of edge acquisition, protocol analysis, network communication, data delay and the like caused by the rapid development of the internet of things, the cloud computing starts to be carried out from a single-point service to a networking service, an original independent cloud is carried out to the networking cloud, the edge computing is gradually started, a plurality of controls are realized through local equipment without being handed to a cloud, and the processing process is completed on a local edge computing layer. This will undoubtedly promote the processing efficiency greatly, alleviate the load in the cloud. The need is addressed at the edge end by providing faster response for the user due to closer proximity to the user.
The existing logistics monitoring solution is mostly single monitoring, and the edge computing capability is lack; when the user monitoring project requirements are more, a plurality of products are often required to be selected and connected with a plurality of cloud platforms, the service requirements are divided, meanwhile, a complete monitoring control strategy cannot be realized, and only one low-efficiency and low-energy service can be obtained.
Disclosure of Invention
In order to solve the above problems in the prior art, that is, to solve the problem of insufficient computing capability of the logistics monitoring edge in the prior art, a first aspect of the present application provides a vehicle-mounted edge computing gateway device, which includes a monitoring unit, a communication unit, a master control unit, a storage unit, an interaction unit, and a device control unit;
the monitoring unit is connected with a vehicle bus, acquires vehicle data through the vehicle bus, and sends the vehicle data to the master control unit and the storage unit through the communication unit, wherein the vehicle data comprises temperature and humidity data, oil consumption data, smoke data, logistics electronic lock data, and driver state and operation data;
the master control unit generates fault diagnosis data according to the vehicle data, and generates a reminding signal of the interaction unit and a control signal of the equipment control unit based on the fault diagnosis data;
the interaction unit can prompt a driver to push information based on the reminding signal;
the device control unit controls a vehicle device based on the control signal.
In some preferred technical solutions, the monitoring unit includes a GPS positioning module, a detection module, and a video acquisition module;
the GPS positioning module is used for acquiring the position of the vehicle;
the detection module is respectively in communication connection with a temperature and humidity sensor, an oil consumption detection sensor, a smoke sensor and a logistics electronic lock of the vehicle;
the video acquisition module is used for acquiring facial features and behavior features of a driver, and the facial features are used for carrying out facial recognition authentication and fatigue driving authentication on the driver.
In some preferred technical solutions, the interaction unit includes a fault indication module and a voice communication module, the fault indication module includes an indicator light installed inside the vehicle, and the voice communication module is used for voice broadcasting and remote communication.
In some preferred technical solutions, the video capture module may further be capable of acquiring video data of an environment surrounding the vehicle.
In some preferred technical solutions, the general control unit analyzes the vehicle data based on a machine learning algorithm and generates fault diagnosis data.
In some preferred technical solutions, the general control unit includes a cpu module based on an ARM architecture.
In some preferred technical solutions, the storage unit includes a FLASH chip and a TF card storage.
In some preferred technical solutions, the communication unit includes a CAN communication module, a 485 serial communication module, an LORA wireless communication module, an ethernet communication module, a USB communication module, and a mobile network communication module.
In some preferred technical schemes, the vehicle-mounted power supply further comprises a power module and a backup battery, wherein the power module is electrically connected with the vehicle-mounted power supply and used for supplying power to each module in the system and the backup battery, and the backup battery is used for supplying power to each module in the system in a vehicle flameout state.
The second aspect of the application provides a vehicle-mounted edge computing gateway system, which comprises a server and vehicle-mounted edge computing gateway equipment, wherein the server is in communication connection with the vehicle-mounted edge computing gateway equipment, and the vehicle-mounted edge computing gateway equipment comprises a monitoring unit, a communication unit, a master control unit, a storage unit, an interaction unit and an equipment control unit;
the monitoring unit is connected with a vehicle bus, acquires vehicle data through the vehicle bus, and sends the vehicle data to the master control unit and the storage unit through the communication unit, wherein the vehicle data comprises temperature and humidity data, oil consumption data, smoke data, logistics electronic lock data, and driver state and operation data;
the master control unit generates fault diagnosis data according to a pre-stored monitoring control strategy based on the vehicle data, and generates a first reminding signal of the interaction unit and a first control signal of the equipment control unit based on the fault diagnosis data;
the server generates a second reminding signal of the interaction unit and a second control signal of the equipment control unit based on the vehicle data;
the interaction unit can prompt a driver to send information based on the first reminding signal and/or the second reminding signal;
the equipment control unit controls the vehicle equipment to update configuration, upgrade a system or control start and stop based on the first control signal and/or the second control signal.
The invention has the beneficial effects that:
the invention collects data of the sensors and detection equipment on the vehicle in real time, stores the data in the local database, uploads the data to the cloud server through the MQTT protocol, and can receive the commands issued by the server, update the equipment and sensor settings, locally monitor and control strategies, upgrade system files and the like. The device carries out corresponding calculation on the data according to a monitoring control strategy based on the collected data, and executes corresponding actions such as early warning and control.
The vehicle-mounted edge computing gateway equipment has rich interfaces, can be connected with different sensors and detection equipment, provides various detection control schemes, and meets the elastic requirements of different customers and future requirement upgrading. The method solves the defect that a client has to adopt multi-platform detection equipment when the demand is various and the demand is increased, and simultaneously reduces the corresponding platform service, communication cost and other operation costs, thereby realizing cost reduction and efficiency improvement.
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Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
fig. 1 is a schematic overall structure diagram of a vehicle-mounted edge computing gateway device according to an embodiment of the present invention.
Detailed Description
In order to make the embodiments, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and are not intended to limit the scope of the present invention.
The embodiment of the invention provides a vehicle-mounted edge computing gateway device, which comprises a monitoring unit, a communication unit, a master control unit, a storage unit, an interaction unit and a device control unit, wherein the monitoring unit is used for monitoring the vehicle-mounted edge computing gateway device;
the monitoring unit is connected with a vehicle bus, acquires vehicle data through the vehicle bus, and sends the vehicle data to the master control unit and the storage unit through the communication unit, wherein the vehicle data comprises temperature and humidity data, oil consumption data, smoke data, logistics electronic lock data, and driver state and operation data;
the master control unit generates fault diagnosis data according to the vehicle data, and generates a reminding signal of the interaction unit and a control signal of the equipment control unit based on the fault diagnosis data;
the interaction unit can prompt a driver to push information based on the reminding signal;
the device control unit controls a vehicle device based on the control signal.
The invention provides a vehicle-mounted edge computing gateway system, which comprises a server and vehicle-mounted edge computing gateway equipment, wherein the server is in communication connection with the vehicle-mounted edge computing gateway equipment, and the vehicle-mounted edge computing gateway equipment comprises a monitoring unit, a communication unit, a master control unit, a storage unit, an interaction unit and an equipment control unit;
the monitoring unit is connected with a vehicle bus, acquires vehicle data through the vehicle bus, and sends the vehicle data to the master control unit and the storage unit through the communication unit, wherein the vehicle data comprises temperature and humidity data, oil consumption data, smoke data, logistics electronic lock data, and driver state and operation data;
the master control unit generates fault diagnosis data according to a pre-stored monitoring control strategy based on the vehicle data, and generates a first reminding signal of the interaction unit and a first control signal of the equipment control unit based on the fault diagnosis data;
the server generates a second reminding signal of the interaction unit and a second control signal of the equipment control unit based on the vehicle data;
the interaction unit can prompt a driver to send information based on the first reminding signal and/or the second reminding signal;
the equipment control unit controls the vehicle equipment to update configuration, upgrade a system or control start and stop based on the first control signal and/or the second control signal. The vehicle-mounted edge computing gateway equipment and the system can be connected with various logistics monitoring equipment, meet different requirements, support certain edge computing capacity, and execute corresponding monitoring control strategies on the terminal besides the cloud service.
In order to more clearly explain the vehicular edge computing gateway device of the present invention, a preferred embodiment of the present invention will be described in detail below with reference to the accompanying drawings.
As a preferred embodiment of the present invention, the vehicle-mounted edge computing gateway device of the present invention is shown in fig. 1, and includes functions of monitoring device data acquisition and storage, edge computing of local policy, user interaction, and the like. Specifically, the equipment comprises a master control unit, a monitoring unit, a communication unit, a storage unit, an interaction unit and an equipment control unit. Preferably, the master control unit comprises a cpu module based on ARM architecture, through which the overall control is performed.
And the monitoring unit is connected with the vehicle bus, acquires vehicle data through the vehicle bus and sends the vehicle data to the master control unit and the storage unit through the communication unit. Preferably, the communication unit of the application comprises a CAN communication module, a 485 serial port communication module, an LORA wireless communication module, an Ethernet communication module, a USB communication module and a mobile network communication module. The storage unit comprises a FLASH chip module and a TF card storage module.
The vehicle data comprises temperature and humidity data, oil consumption data, smoke data, logistics electronic lock data and driver state and operation data, and specifically, the monitoring unit comprises a GPS positioning module, a detection module and a video acquisition module; the GPS positioning module is used for acquiring the position of the vehicle; the detection module is in communication connection with a temperature and humidity sensor, an oil consumption detection sensor, a smoke sensor and a logistics electronic lock of the vehicle respectively, and is used for acquiring temperature and humidity data, oil consumption data, smoke data and logistics electronic lock data; the video acquisition module is used for acquiring facial features and behavior features of a driver, and the facial features are used for carrying out facial recognition authentication and fatigue driving authentication on the driver. Preferably, the video acquisition module further comprises a fatigue driving detection device for acquiring the fatigue degree of the driver by measuring the opening and closing of eyes, the movement of eyes and the physiological manifestation of eyes.
Specifically, the monitoring unit is used for collecting various monitoring data to provide a data basis for formulating a perfect control monitoring strategy. The master control unit generates fault diagnosis data according to vehicle data, and generates a reminding signal of the interaction unit and a control signal of the equipment control unit based on the fault diagnosis data. The interaction unit can prompt a driver to push information based on the reminding signal, and the equipment control unit controls the vehicle equipment based on the control signal. It is understood that the vehicle equipment includes equipment capable of controlling the running of the vehicle and various auxiliary equipment mounted on the vehicle, such as sensors, electronic locks of a compartment body, and the like.
Specifically, the master control unit analyzes vehicle data based on a machine learning algorithm and generates fault diagnosis data. For example, a pre-trained neural network in a machine learning algorithm analyzes vehicle data, specifically, the pre-trained neural network is constructed and trained based on normal vehicle data, actual vehicle data is used as an input data set during training, and control signals of an interaction unit and an equipment control unit are used as an output data set; the invention judges whether the state of the vehicle and the behavior state of the driver are larger than the threshold value based on the pre-trained neural network, namely whether the state of the vehicle and the behavior state of the driver meet the expected setting, if not, the master control unit can control the interaction unit to prompt the driver to push information in time or control the state of the vehicle so as to be convenient for adjustment, and after the adjustment is finished, the equipment is continuously controlled to work, thereby realizing the real-time monitoring of the vehicle-mounted environment and ensuring the logistics monitoring service quality. Further, the interactive unit of this application includes fault indication module and voice communication module, and fault indication module is including installing in the inside pilot lamp of vehicle, and voice communication module is used for voice broadcast and long-range conversation. For example, when the monitoring unit inputs the detected vehicle data into the pre-trained neural network, and the pre-trained neural network judges that the driver is currently in fatigue driving, the master control unit automatically generates an early warning signal (such as voice reminding, light reminding and the like) of the interaction unit, and meanwhile, the device control unit can synchronously control the vehicle to decelerate.
The intelligent vehicle-mounted intelligent monitoring system has the functions of intelligent analysis and early warning, driving track management and planning, remote communication and interaction, remote equipment management and the like.
Intelligent analysis and early warning: the method comprises the steps of cargo environment analysis and early warning, vehicle and running state analysis and early warning, driver behavior state analysis and early warning and driving assistance analysis and early warning.
Cargo environment analysis early warning function is through gathering sensor information such as temperature and humidity sensor, smoke transducer, carriage packing box electronic lock, inclination sensor, carriage camera, various states in the real time monitoring freight environment, and the analysis abnormal conditions in time makes the processing strategy, prevents such as: the loss of the transported goods and the vehicle is caused by the conditions that the temperature of the carriage exceeds the early warning value, fire disasters, illegal opening of the carriage, goods dumping, abnormal goods states and the like.
The vehicle and running state analysis early warning function analyzes abnormal information of the vehicle in running and parking states through vehicle OBD and other data acquisition such as a 3D acceleration sensor, an oil tank sensor, an air pressure sensor and the like, and timely reminds a driver to pay attention to and take treatment measures. Such as: when the tire pressure is abnormal in a running state, the vehicle should be decelerated in time to run, and the vehicle is stopped in a safe zone to check the tire condition; the abnormal information detected by the OBD usually indicates that the vehicle has a hidden fault, and prompts a driver to overhaul the vehicle in time.
The driver behavior analysis early warning function is to monitor the fatigue state, the driving behavior and the like of the driver all the day in the driving process of the driver. After discovering that a driver has fatigue, yawning, distraction reminding (seeing a mobile phone and lowering the head), calling in the driving process, smoking in the driving process, off-duty alarming, shielding alarming, people changing reminding, left-right anticipation reminding and other wrong driving states, the early warning system can analyze the behaviors in time and prompt voice and light. The method for warning the driver and correcting the wrong driving behavior is achieved. Meanwhile, the system returns to the driver to carry out face recognition authentication, and the non-authenticated driver timely sends out early warning information when driving the vehicle.
Further, the video acquisition module can also acquire video data of the surrounding environment of the vehicle. The driving auxiliary analysis early warning is to find abnormal driving states such as too close distance between the front vehicle and the rear vehicle, lane deviation, vehicle inclination early warning, high-speed curve passing early warning, rapid acceleration, rapid braking early warning, engine fault early warning and the like by analyzing the front video data and the rear video data during the driving of the vehicle and combining the driving state information analysis of the vehicle, and assist the driver to execute driving tasks or actively avoid and reduce collision hazards in the modes of information, sound and light and the like.
Managing and planning the driving track: the GPS sensor is used for accurately positioning the geographic position of the vehicle, tracking and monitoring information such as a running track, a running speed and a parking state of the vehicle in real time, and storing the information and the cloud storage.
Through the analysis of the prior driving track, the optimal driving route to the designated area can be set for the vehicle, the driving direction of the vehicle can be guided after the vehicle gets on the road, the driving time is reduced, and the phenomena of traffic jam, going-out and getting lost and the like are avoided.
To predetermined transportation route, can be with line data and vehicle real-time data contrastive analysis, report to the police when the skew predetermined route of vehicle takes place, can help logistics enterprise manager to carry out the management and control to logistics transport vehicle effectively to satisfy the actual demand of logistics enterprise vehicle standardization management, reduce the phenomenon of the vehicle of using in violation of rules and regulations, be convenient for enterprise manager to master vehicle and peripheral newest developments at any time, more effectually provide accurate data to vehicle maintenance.
Remote communication and interaction: the vehicle-mounted edge computing gateway equipment is connected with the cloud server, so that uploading and downloading of data and receiving of server instructions are achieved, and meanwhile voice playing and voice connection real-time communication are supported.
The data uploading comprises daily data of the sensor, analysis and early warning results, instruction requirement data and the like, and the data are downloaded into upgrading files, configuration files, early warning strategy data and the like. The server command is issued to the equipment, and the equipment analyzes and executes the server command.
The equipment can receive the server instruction to play the designated voice information, prompt and communicate the driver, and can also connect the transfer and management terminal, the app terminal and the like through the server to perform voice real-time communication. This aspect may have the following application scenarios: command voice communication, road guidance voice communication, accident handling voice communication, emergency communication, and the like.
Remote device management: the equipment can be used for remote equipment management, the server issues instructions, and the management functions of the equipment, such as the working state, various working parameters, starting, closing and working parameters of the connection sensor, equipment firmware upgrading, sensor firmware upgrading, equipment self-checking and the like can be set.
The remote equipment management function can flexibly configure the equipment in terms of functions, and meets the requirements of early warning setting, function configuration and the like of vehicles in different environments, for example: the cold chain vehicle requires different temperatures for different transported goods, and after the corresponding goods are loaded, a configuration instruction can be issued through the server, or an early warning strategy can automatically configure early warning values of temperature and humidity according to goods information issued by the server.
In other preferred embodiments, the vehicle-mounted edge computing gateway device further includes a power module and a backup battery, the power module is electrically connected to the vehicle-mounted power supply and is used for supplying power to each module and the backup battery in the system, and the backup battery is used for supplying power to each module in the system in a vehicle flameout state.
The second aspect of the invention also provides a vehicle-mounted edge computing gateway system, which comprises a server and vehicle-mounted edge computing gateway equipment, wherein the server is in communication connection with the vehicle-mounted edge computing gateway equipment;
the monitoring unit is connected with a vehicle bus, acquires vehicle data through the vehicle bus, and sends the vehicle data to the master control unit and the storage unit through the communication unit, wherein the vehicle data comprises temperature and humidity data, oil consumption data, smoke data, logistics electronic lock data, and driver state and operation data;
the master control unit generates fault diagnosis data according to a pre-stored monitoring control strategy based on the vehicle data, and generates a first reminding signal of the interaction unit and a first control signal of the equipment control unit based on the fault diagnosis data;
the server generates a second reminding signal of the interaction unit and a second control signal of the equipment control unit based on the vehicle data;
the interaction unit can prompt the driver to send information based on the first reminding signal and/or the second reminding signal;
the equipment control unit controls the vehicle equipment to update configuration, upgrade a system or control start and stop based on the first control signal and/or the second control signal. The data of the sensors and the detection equipment on the vehicle can be collected in real time, stored in the local database and uploaded to the cloud server through the MQTT protocol, and the data can be received and sent by the server, so that the equipment and sensor settings, the local monitoring control strategy and the system file can be updated. The device carries out corresponding calculation on the data according to a monitoring control strategy based on the collected data, and executes corresponding actions such as early warning and control.
In summary, the difference between the in-vehicle edge computing gateway device in the in-vehicle edge computing gateway system of the present application and the in-vehicle edge computing gateway device in the above embodiments is mainly the configuration of the server. It can be understood that the server is a cloud platform, and may be in communication connection with a plurality of vehicle-mounted edge computing gateway devices, and the vehicle-mounted edge computing gateway devices are connected to the internet through a mobile network communication module, upload data to the cloud platform, and receive instructions issued by the cloud platform to perform corresponding operations, update configuration, upgrade the system, and the like. The CPU module of the master control unit executes edge calculation to complete corresponding early warning and control execution actions, and the strategy can be updated through the cloud platform to meet the change of detection control requirements. It should be noted that the local control strategy, i.e. the machine learning algorithm in the above-mentioned embodiment, is preferably a pre-trained neural network. The user interaction function implementation of the interaction unit is carried out through the state fault indication module and the voice communication module, the device can prompt corresponding information for a user through the modes of the indicator light, voice and the like, and the voice communication module can provide remote call requirements through the cloud platform.
The interaction unit and the device control unit of the system in the embodiment can be simultaneously controlled by the cloud platform server and the master control unit, wherein the cloud platform server mainly generates control instructions such as updating configuration and upgrading system to update the vehicle-mounted edge computing gateway device to meet the change of detection control requirements, the master control unit is mainly controlled locally, and due to the fact that vehicle data are stored in the cloud and locally, the edge computing data base of the monitoring control strategy based on the machine learning algorithm can be guaranteed even under the condition of network disconnection.
In the technical solution in the embodiment of the present application, at least the following technical effects and advantages are provided:
the vehicle-mounted edge computing gateway equipment provided by the invention has various communication interfaces, can be connected with various sensors and detection equipment, has an edge computing function, and can monitor and respond to a control strategy in time at a vehicle terminal to complete early warning and control functions. The data of this application is in high in the clouds, local dual storage, also can guarantee the marginal calculation data basis of monitoring control strategy under the disconnected net condition.
It should be noted that in the description of the present invention, the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. indicating the directions or positional relationships are based on the directions or positional relationships shown in the drawings, which are only for convenience of description, and do not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Furthermore, it should be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
The terms "comprises," "comprising," or any other similar term are intended to cover a non-exclusive inclusion, such that a process, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, article, or apparatus.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
Claims (10)
1. A vehicle-mounted edge computing gateway device is characterized by comprising a monitoring unit, a communication unit, a master control unit, a storage unit, an interaction unit and a device control unit;
the monitoring unit is connected with a vehicle bus, acquires vehicle data through the vehicle bus, and sends the vehicle data to the master control unit and the storage unit through the communication unit, wherein the vehicle data comprises temperature and humidity data, oil consumption data, smoke data, logistics electronic lock data, and driver state and operation data;
the master control unit generates fault diagnosis data according to the vehicle data, and generates a reminding signal of the interaction unit and a control signal of the equipment control unit based on the fault diagnosis data;
the interaction unit can prompt a driver to push information based on the reminding signal;
the device control unit controls a vehicle device based on the control signal.
2. The on-board edge computing gateway device of claim 1, wherein the monitoring unit comprises a GPS positioning module, a detection module, and a video capture module;
the GPS positioning module is used for acquiring the position of the vehicle;
the detection module is respectively in communication connection with a temperature and humidity sensor, an oil consumption detection sensor, a smoke sensor and a logistics electronic lock of the vehicle;
the video acquisition module is used for acquiring facial features and behavior features of a driver, and the facial features are used for carrying out facial recognition authentication and fatigue driving authentication on the driver.
3. The vehicle-mounted edge computing gateway device of claim 1, wherein the interaction unit comprises a fault indication module and a voice communication module, the fault indication module comprises an indicator light installed inside a vehicle, and the voice communication module is used for voice broadcasting and remote communication.
4. The on-board edge computing gateway device of claim 1, wherein the video capture module is further capable of obtaining video data of the vehicle surroundings.
5. The on-board edge computing gateway device of claim 1, wherein the turnkey unit analyzes the vehicle data based on a machine learning algorithm and generates fault diagnosis data.
6. The on-board edge computing gateway device of claim 1, wherein the head control unit comprises an ARM architecture based cpu module.
7. The vehicle edge computing gateway device of claim 1, wherein the storage unit comprises a FLASH chip and a TF card storage.
8. The on-board edge computing gateway device of claim 1, wherein the communication unit comprises a CAN communication module, a 485 serial communication module, a LORA wireless communication module, an Ethernet communication module, a USB communication module, and a mobile network communication module.
9. The on-board edge computing gateway device of any of claims 1-8, further comprising a power module electrically connected to the on-board power source for powering the modules and the backup battery within the system, and a backup battery for powering the modules within the system in a vehicle-off state.
10. A vehicle-mounted edge computing gateway system is characterized by comprising a server and vehicle-mounted edge computing gateway equipment, wherein the server is in communication connection with the vehicle-mounted edge computing gateway equipment, and the vehicle-mounted edge computing gateway equipment comprises a monitoring unit, a communication unit, a master control unit, a storage unit, an interaction unit and an equipment control unit;
the monitoring unit is connected with a vehicle bus, acquires vehicle data through the vehicle bus, and sends the vehicle data to the master control unit and the storage unit through the communication unit, wherein the vehicle data comprises temperature and humidity data, oil consumption data, smoke data, logistics electronic lock data, and driver state and operation data;
the master control unit generates fault diagnosis data according to a pre-stored monitoring control strategy based on the vehicle data, and generates a first reminding signal of the interaction unit and a first control signal of the equipment control unit based on the fault diagnosis data;
the server generates a second reminding signal of the interaction unit and a second control signal of the equipment control unit based on the vehicle data;
the interaction unit can prompt a driver to send information based on the first reminding signal and/or the second reminding signal;
the equipment control unit controls the vehicle equipment to update configuration, upgrade a system or control start and stop based on the first control signal and/or the second control signal.
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