CN110971567A - Vehicle, cloud server, vehicle equipment, media device and data integration method - Google Patents

Abstract

The application provides a vehicle, cloud ware, car machine equipment, media device and data integration method, the vehicle-mounted data that many terminal equipment sent is received or not to media device real-time judgement, many terminal equipment include at least one or the combination in car machine equipment, on-vehicle auxiliary function equipment, automobile body equipment, power equipment, cell-phone and the wearing equipment, if receive vehicle-mounted data, insert vehicle-mounted data and analysis processes obtain corresponding agreement type, according to the agreement type is right vehicle-mounted data adopts and predetermines the tactics algorithm and carry out analytic processing in order to obtain the preset format data that can supply follow-up identification processing, and media device storage preset format data and/or with preset format data are forwarded to application platform and are directly/indirectly called. According to the method and the device, fusion processing can be performed on the data contents of different protocols, and the data contents are converted into suitable format data so as to be called and processed by other subsequent platforms or terminals, and the function of unifying the protocols is realized.

Description

Vehicle, cloud server, vehicle equipment, media device and data integration method

Technical Field

The application relates to the technical field of protocols, in particular to a multi-protocol data integration method for a vehicle, a media device, a cloud server and a vehicle machine device applying the multi-protocol data integration method, and the vehicle applying the multi-protocol data integration method for the vehicle.

Background

With the penetration of artificial intelligence and the development of automobile technology, unmanned automobiles are also beginning to appear in succession, and automatic driving systems have gradually become the standard of new-generation automobiles. The unmanned automobile is an intelligent automobile with abundant sensor systems, certain network connection capacity, sensing capacity and computing capacity, and is finally realized through a computer system by means of cooperation of artificial intelligence, visual computation, radar, a monitoring device and a global positioning system.

The conventional OBD (on-board sensor) is mainly used for collecting relevant data of pollution discharge and conjecturing operation of relevant equipment. The conventional OBD system includes an automobile state detection device and an ECU (electronic control unit) which detects a plurality of systems and components of an automobile including an engine, a catalytic converter, a particulate trap, an oxygen sensor, an emission control system, a fuel system, etc. through various sensors, the ECU has a function of detecting and analyzing emission-related faults, saves these collected state data of the automobile, performs preliminary analysis, and when an emission fault occurs, the ECU records fault information and related codes and gives a warning through a fault lamp.

However, in practice, during the driving of the vehicle, the behavior habit of the driver can more directly affect the operation safety, energy conservation, environmental protection and maintenance of the vehicle body. Therefore, the current OBD system only relies on collecting and analyzing the vehicle status data, and the information provided by the OBD system is not comprehensive and cannot effectively monitor and assist in driving the vehicle.

On the other hand, the demand for electronic intelligence of automobiles is also increasing, and consumers want automobiles with higher driving power, comfort, economy and entertainment. In order to improve the product competitiveness, vehicle manufacturers add more and more entertainment and auxiliary electronic control systems to vehicle control, such as Advanced Driving Assistance System (ADAS), high definition camera HDC, smart meter IICM, smart Air Conditioning control system (HVAC), smart voice IAS, and the like. However, since the highest transmission rate of a Controller Area Network (CAN) bus is 1Mbit/s, the actual use rate of the CAN bus in an automobile is usually 500kbit/s, and a large number of entertainment and auxiliary Electronic Control Units (ECUs) relate to the transmission of information with large data volume, such as high-definition pictures, high-definition videos, voice, music, and the like, a communication mode with higher communication rate is required, so that the reliability and real-time performance of information transmission are ensured.

However, the reported data formats of the terminal devices, the sensors and the like are all five-door, and how to rapidly analyze and identify the real-time reported data to support rapid access of a subsequent platform to various devices is a great technical problem.

In view of various defects in the prior art, the inventors of the present application have made extensive studies to provide a vehicle, a cloud server, a vehicle device, a media device, and a data integration method.

Disclosure of Invention

An object of the present application is to provide a vehicle, a cloud server, a vehicle device, a media device, and a data integration method, which can perform fusion processing on data contents of different protocols, and convert the data contents into suitable format data, so as to be called and processed by other subsequent platforms or terminals, thereby implementing a function of unifying protocols.

In order to solve the above technical problem, the present application provides a multi-protocol data integration method for a vehicle, as one embodiment, the multi-protocol data integration method includes:

the media device judges whether vehicle-mounted data sent by multi-terminal equipment is received in real time, wherein the multi-terminal equipment comprises at least one or a combination of vehicle-mounted equipment, vehicle-mounted auxiliary function equipment, vehicle body equipment, power equipment, a mobile phone and wearing equipment;

if vehicle-mounted data are received, accessing the vehicle-mounted data and carrying out protocol analysis processing to obtain a corresponding protocol type;

analyzing the vehicle-mounted data by adopting a preset strategy algorithm according to the protocol type to obtain preset format data for subsequent identification processing;

the media device stores the preset format data and/or forwards the preset format data to an application platform for direct/indirect calling.

As one embodiment, the multi-protocol data integration method further includes the steps of:

the media device acquires an accessible data protocol of the butted application platform;

and dynamically setting the preset measurement algorithm of the vehicle-mounted data according to the accessible data protocol so as to convert the vehicle-mounted data into preset format data which can be accessed by the application platform.

The vehicle-mounted auxiliary function device comprises an intelligent air conditioner controller, a high-definition camera, an intelligent instrument, an advanced driving assistance and a high-definition player; the vehicle body equipment comprises a battery sensor, an intelligent generator, a vehicle body control module, a reversing radar module, a self-adaptive headlamp, a multifunctional steering wheel, a tire pressure monitoring system and a keyless entry and starting system; the power equipment comprises an engine management system, an electronic power steering system, an airbag module, a gearbox control unit, an electronic stability control module, an electronic parking brake module and a II-type vehicle-mounted sensor diagnosis interface.

As one implementation mode, the application platform comprises a user handheld terminal, a cloud server, a big data processing platform, an AI artificial intelligence processing platform and an Internet of vehicles system.

As an implementation manner, the step of determining whether to receive the vehicle-mounted data sent by the multi-terminal device in real time by the intermediary device specifically includes:

the media device realizes multi-protocol access through a plurality of protocol threads, wherein information supporting multi-protocols is configured in the media device, information of one or more protocol threads supporting multi-protocols is saved in the media device, and information of links responsible for each protocol thread is saved in the media device.

The multi-protocol comprises TCP/IP protocol, CAN protocol, NMEA0183 protocol, 802.11n protocol, 802.15 protocol, 3G/4G protocol, UDP/IP protocol and SAEJ2735 data standard.

In order to solve the above technical problem, the present application further provides a medium device, as an embodiment, the medium device includes a medium processor, and the medium processor is configured to execute program data to implement the multi-protocol data integration method.

In order to solve the technical problem, the present application further provides a car machine device, and as one of the embodiments, the car machine device is configured with the media device.

In order to solve the above technical problem, the present application further provides a cloud server, as an embodiment, the cloud server is configured with the media device.

In order to solve the above technical problem, the present application further provides a vehicle, as an embodiment, the vehicle includes an onboard processor, the onboard processor is configured to execute program data to implement the multi-protocol data integration method, and the vehicle is an unmanned vehicle, a manually-driven vehicle, or an intelligent vehicle capable of freely switching between two driving states.

The utility model provides a vehicle, cloud ware, car machine equipment, media device and data integration method, media device judge in real time whether receive the on-vehicle data that many terminal equipment sent, many terminal equipment include at least one or the combination in car machine equipment, on-vehicle auxiliary function equipment, automobile body equipment, power equipment, cell-phone and the wearing equipment, if receive on-vehicle data, insert on-vehicle data carries out protocol analysis and handles in order to obtain the protocol type that corresponds, according to the protocol type is right on-vehicle data adopts and predetermines the tactics algorithm and carry out analytic processing in order to obtain the preset format data that can supply follow-up identification processing, and media device storage preset format data and/or with preset format data forward to application platform and carry out direct/indirect calling. According to the method and the device, fusion processing can be performed on the data contents of different protocols, and the data contents are converted into suitable format data so as to be called and processed by other subsequent platforms or terminals, and the function of unifying the protocols is realized.

The foregoing description is only an overview of the technical solutions of the present application, and in order to make the technical means of the present application more clearly understood, the present application may be implemented in accordance with the content of the description, and in order to make the above and other objects, features, and advantages of the present application more clearly understood, the following preferred embodiments are described in detail with reference to the accompanying drawings.

Drawings

Fig. 1 is a flowchart illustrating an embodiment of a multi-protocol data integration method according to the present application.

Fig. 2 is a schematic structural diagram of an embodiment of the media device of the present application.

Fig. 3 is a schematic structural diagram of an embodiment of the vehicle according to the present application.

Detailed Description

To further clarify the technical measures and effects taken by the present application to achieve the intended purpose, the present application will be described in detail below with reference to the accompanying drawings and preferred embodiments.

While the present application has been described in terms of specific embodiments and examples for achieving the desired objects and objectives, it is to be understood that the invention is not limited to the disclosed embodiments, but is to be accorded the widest scope consistent with the principles and novel features as defined by the appended claims.

Referring to fig. 1, fig. 1 is a schematic flowchart illustrating an embodiment of a multi-protocol data integration method according to the present application.

The multi-protocol data integration method for a vehicle according to the present application may include, but is not limited to, the following steps.

Step S101, a media device judges whether vehicle-mounted data sent by a multi-terminal device is received in real time, wherein the multi-terminal device comprises at least one or a combination of a vehicle-mounted device, a vehicle-mounted auxiliary function device, a vehicle body device, a power device, a mobile phone and a wearing device;

step S102, if vehicle-mounted data is received, accessing the vehicle-mounted data and carrying out protocol analysis processing to obtain a corresponding protocol type;

step S103, analyzing the vehicle-mounted data by adopting a preset strategy algorithm according to the protocol type to obtain preset format data for subsequent identification processing;

and step S104, the media device stores the preset format data and/or forwards the preset format data to an application platform for direct/indirect calling.

It should be particularly noted that, the multi-protocol data integration method according to this embodiment may further include the steps of: the media device acquires an accessible data protocol of the butted application platform; and dynamically setting the preset measurement algorithm of the vehicle-mounted data according to the accessible data protocol so as to convert the vehicle-mounted data into preset format data which can be accessed by the application platform.

Specifically, the vehicle-mounted auxiliary function device according to the embodiment may include an intelligent air conditioner controller, a high-definition camera, an intelligent instrument, an advanced driving assistance device, and a high-definition player.

In this embodiment, the vehicle body equipment may include a battery sensor, an intelligent generator, a vehicle body control module, a reversing radar module, an adaptive headlamp, a multifunctional steering wheel, a tire pressure monitoring system, and a keyless entry and start system.

Furthermore, the power plant of the present embodiment may comprise an engine management system, an electronic power steering system, an airbag module, a gearbox control unit, an electronic stability control, an electronic parking brake module, a type ii on-board sensor diagnostic interface.

It should be particularly noted that the application platform in this embodiment includes a user handheld terminal, a cloud server, a big data processing platform, an AI artificial intelligence processing platform, and an internet of vehicles system.

It should be noted that, the step of determining, by the intermediary device in real time, whether to receive the vehicle-mounted data sent by the multi-terminal device may specifically include: the media device realizes multi-protocol access through a plurality of protocol threads, wherein information supporting multi-protocols is configured in the media device, information of one or more protocol threads supporting multi-protocols is saved in the media device, and information of links responsible for each protocol thread is saved in the media device.

Specifically, in this embodiment, the multi-protocol may include TCP/IP protocol, CAN protocol, NMEA0183 protocol, 802.11n protocol, 802.15 protocol, 3G/4G protocol, UDP/IP protocol, and SAEJ2735 data standard.

In particular, the media device described in this embodiment may be a physical device or a system installed in a device, and is not limited herein.

According to the method and the device, fusion processing can be performed on the data contents of different protocols, and the data contents are converted into suitable format data so as to be called and processed by other subsequent platforms or terminals, and the function of unifying the protocols is realized.

Referring to fig. 2 in conjunction with the above embodiments, the present application further provides a media device, as an embodiment, the media device includes amedia processor 21, and the media processor is configured to execute program data to implement the multi-protocol data integration method.

It should be noted that, in this embodiment, the method/apparatus and the functions thereof shown in fig. 1 or fig. 2 may be integrated into a car machine device, and corresponding vehicle-mounted data is processed from the car machine device, in other words, the present application provides a car machine device, where the car machine device is configured with the media device, and the media device may be placed on the car machine device of this embodiment in a rear manner and connected between cloud servers.

Correspondingly, the present embodiment may also provide a cloud server, as one embodiment, the cloud server is configured with the media device, and correspondingly, the cloud server may be pre-disposed on the cloud server, that is, sandwiched between the car equipment and the cloud server, so as to process the vehicle-mounted data from the car equipment.

Referring to fig. 3, the present application further provides a vehicle, as an embodiment, the vehicle includes an on-board processor 31, and the on-board processor 31 is configured to execute program data to implement the multi-protocol data integration method.

The vehicle according to the present embodiment is an unmanned vehicle, a manually driven vehicle, or an intelligent vehicle capable of switching between two driving states.

Specifically, the vehicle-mountedprocessor 31 judges whether vehicle-mounted data sent by multiple terminal devices are received in real time, where the multiple terminal devices include at least one or a combination of a vehicle-mounted device, a vehicle-mounted auxiliary function device, a vehicle body device, a power device, a mobile phone and a wearable device;

if the vehicle-mounted data is received, the vehicle-mountedprocessor 31 accesses the vehicle-mounted data and performs protocol analysis processing to obtain a corresponding protocol type;

the vehicle-mountedprocessor 31 analyzes and processes the vehicle-mounted data by adopting a preset strategy algorithm according to the protocol type to obtain preset format data for subsequent identification and processing;

the on-board processor 31 stores the preset format data and/or forwards the preset format data to the application platform for direct/indirect calling.

It should be particularly noted that, in the present embodiment, the vehicle-mountedprocessor 31 may further obtain an accessible data protocol of the docked application platform, and dynamically set the preset measurement algorithm according to the accessible data protocol, so as to convert the vehicle-mounted data into data in a preset format that can be accessed by the application platform.

Specifically, the vehicle-mounted auxiliary function device according to the embodiment may include an intelligent air conditioner controller, a high-definition camera, an intelligent instrument, an advanced driving assistance device, and a high-definition player.

In this embodiment, the vehicle body equipment may include a battery sensor, an intelligent generator, a vehicle body control module, a reversing radar module, an adaptive headlamp, a multifunctional steering wheel, a tire pressure monitoring system, and a keyless entry and start system.

Furthermore, the power plant of the present embodiment may comprise an engine management system, an electronic power steering system, an airbag module, a gearbox control unit, an electronic stability control, an electronic parking brake module, a type ii on-board sensor diagnostic interface.

It should be particularly noted that the application platform in this embodiment includes a user handheld terminal, a cloud server, a big data processing platform, an AI artificial intelligence processing platform, and an internet of vehicles system.

It should be noted that, in the present embodiment, the on-board processor 31 may implement multi-protocol access through a plurality of protocol threads, where information supporting multiple protocols is configured in the intermediary device, information of one or more protocol threads supporting multiple protocols is stored in the intermediary device, and information of links for which each protocol thread is responsible is stored in the intermediary device.

Specifically, in this embodiment, the multi-protocol may include TCP/IP protocol, CAN protocol, NMEA0183 protocol, 802.11n protocol, 802.15 protocol, 3G/4G protocol, UDP/IP protocol, and SAEJ2735 data standard.

In particular, the media device described in this embodiment may be a physical device or a system installed in a device, and is not limited herein.

According to the method and the device, fusion processing can be performed on the data contents of different protocols, and the data contents are converted into suitable format data so as to be called and processed by other subsequent platforms or terminals, and the function of unifying the protocols is realized.

It is understood that, with the appearance of more and more various terminal devices, the car device needs to access the cloud server platform, and real-time analysis of data reported by the terminal devices and the car device becomes more and more important, but because the data are sources for online and offline analysis of users by the big data platform and the AI platform, a system for dynamically fusing the data needs to be arranged in front of an entrance of the cloud server platform to reconstruct the received data of various protocols, and the finally reconstructed data are in a uniform protocol format and are in a data format capable of being recognized by the cloud server platform, so that the function implementation of the big data platform is facilitated, and the AI platform reprocesses/calls the data according to the respective needs.

It should be noted that, in the present embodiment, the car machine device, the vehicle, and the cloud server may all adopt a WIFI technology or a 5G technology, for example, a 5G car networking network is used to implement network connection between each other, the 5G technology adopted in the present embodiment may be a technology oriented to scene, the present application uses the 5G technology to play a key support role for the vehicle, and it simultaneously implements a contact person, a contact object, or a connection vehicle, and may specifically adopt the following three typical application scenarios to constitute.

The first is eMBB (enhanced Mobile Broadband), so that the user experience rate is 0.1-1 gpbs, the peak rate is 10gbps, and the traffic density is 10Tbps/km 2;

for the second ultra-reliable low-delay communication, the main index which can be realized by the method is that the end-to-end time delay is in the ms (millisecond) level; the reliability is close to 100%;

the third is mMTC (mass machine type communication), and the main index which can be realized by the application is the connection number density, 100 ten thousand other terminals are connected per square kilometer, and the connection number density is 10^6/km 2.

Through the mode, the characteristics of the super-reliable of this application utilization 5G technique, low time delay combine for example radar and camera etc. just can provide the ability that shows for the vehicle, can realize interdynamic with the vehicle, utilize the interactive perception function of 5G technique simultaneously, and the user can do an output to external environment, and the unable light can detect the state, can also do some feedbacks etc.. Further, the present application may also be applied to cooperation of automatic driving, such as vehicle formation and the like.

In addition, the communication enhancement automatic driving perception capability can be achieved by utilizing the 5G technology, and the requirements of passengers in the automobile on AR (augmented reality)/VR (virtual reality), games, movies, mobile office and other vehicle-mounted information entertainment and high precision can be met. According to the method and the device, the downloading amount of the 3D high-precision positioning map at the centimeter level can be 3-4 Gb/km, the data volume of the map per second under the condition that the speed of a normal vehicle is limited to 120km/h (kilometer per hour) is 90 Mbps-120 Mbps, and meanwhile, the real-time reconstruction of a local map fused with vehicle-mounted sensor information, modeling and analysis of dangerous situations and the like can be supported.

In the present application, the in-vehicle device described above may be used in a vehicle system equipped with a vehicle TBOX, which may also be connected to a CAN bus of the vehicle.

In this embodiment, the CAN may include three network channels CAN _1, CAN _2, and CAN _3, and the vehicle may further include one ethernet network channel, where the three CAN network channels may be connected to the ethernet network channel through two in-vehicle networking gateways, for example, where the CAN _1 network channel includes a hybrid power assembly system, where the CAN _2 network channel includes an operation support system, where the CAN _3 network channel includes an electric dynamometer system, and the ethernet network channel includes a high-level management system, the high-level management system includes a human-vehicle-road simulation system and a comprehensive information collection unit that are connected as nodes to the ethernet network channel, and the in-vehicle networking gateways of the CAN _1 network channel, the CAN _2 network channel, and the ethernet network channel may be integrated in the comprehensive information collection unit; the car networking gateway of the CAN _3 network channel and the Ethernet network channel CAN be integrated in a man-car-road simulation system.

Further, the nodes connected to the CAN _1 network channel include: the hybrid power system comprises an engine ECU, a motor MCU, a battery BMS, an automatic transmission TCU and a hybrid power controller HCU; the nodes connected with the CAN _2 network channel are as follows: the system comprises a rack measurement and control system, an accelerator sensor group, a power analyzer, an instantaneous oil consumption instrument, a direct-current power supply cabinet, an engine water temperature control system, an engine oil temperature control system, a motor water temperature control system and an engine intercooling temperature control system; the nodes connected with the CAN _3 network channel are as follows: electric dynamometer machine controller.

The preferable speed of the CAN _1 network channel is 250Kbps, and a J1939 protocol is adopted; the rate of the CAN _2 network channel is 500Kbps, and a CANopen protocol is adopted; the rate of the CAN _3 network channel is 1Mbps, and a CANopen protocol is adopted; the rate of the Ethernet network channel is 10/100Mbps, and a TCP/IP protocol is adopted.

In this embodiment, the car networking gateway supports a 5G network of 5G technology, which may also be equipped with an IEEE802.3 interface, a DSPI interface, an eSCI interface, a CAN interface, an MLB interface, a LIN interface, and/or an I2C interface.

In this embodiment, for example, the IEEE802.3 interface may be used to connect to a wireless router to provide a WIFI network for the entire vehicle; the DSPI (provider manager component) interface is used for connecting a Bluetooth adapter and an NFC (near field communication) adapter and can provide Bluetooth connection and NFC connection; the eSCI interface is used for connecting the 4G/5G module and communicating with the Internet; the CAN interface is used for connecting a vehicle CAN bus; the MLB interface is used for connecting an MOST (media oriented system transmission) bus in the vehicle, and the LIN interface is used for connecting a LIN (local interconnect network) bus in the vehicle; the IC interface is used for connecting a DSRC (dedicated short-range communication) module and a fingerprint identification module. In addition, the application can merge different networks by mutually converting different protocols by adopting the MPC5668G chip.

In addition, the vehicle TBOX system (Telematics-BOX) of the present embodiment is simply referred to as an on-vehicle TBOX or Telematics.

Telematics is a synthesis of Telecommunications and information science (information) and is defined as a service system that provides information through a computer system, a wireless communication technology, a satellite navigation device, and an internet technology that exchanges information such as text and voice, which are built in a vehicle. In short, the vehicle is connected to the internet (vehicle networking system) through a wireless network, and various information necessary for driving and life is provided for the vehicle owner.

In addition, Telematics is the integration of wireless communication technology, satellite navigation system, network communication technology and on-board computer, when a fault occurs during vehicle running, the cloud server is connected through wireless communication to perform remote vehicle diagnosis, and the computer built in the engine can record the state of the main components of the vehicle and provide accurate fault position and reason for maintenance personnel at any time. The vehicle can receive information and check traffic maps, road condition introduction, traffic information, safety and public security services, entertainment information services and the like through the user communication terminal, and in addition, the vehicle of the embodiment can be provided with electronic games and network application in a rear seat. It is easy to understand that, this embodiment provides service through Telematics, can make things convenient for the user to know traffic information, the parking stall situation that closes on the parking area, confirms current position, can also be connected with the network server at home, in time knows electrical apparatus running condition, the safety condition and guest's condition of visiting etc. at home.

The vehicle according to this embodiment may further include an Advanced Driver Assistance System (ADAS) that collects environmental data inside and outside the vehicle at the first time using the various sensors mounted on the vehicle, and performs technical processing such as identification, detection, and tracking of static and dynamic objects, so that a Driver can recognize a risk that may occur at the fastest time, thereby attracting attention and improving safety. Correspondingly, the ADAS of the present application may also employ sensors such as radar, laser, and ultrasonic sensors, which can detect light, heat, pressure, or other variables for monitoring the state of the vehicle, and are usually located on the front and rear bumpers, side view mirrors, the inside of the steering column, or on the windshield of the vehicle. It is obvious that various intelligent hardware used by the ADAS function can be accessed to the car networking system by means of an ethernet link to realize communication connection and interaction.

The host computer of the present embodiment vehicle may comprise suitable logic, circuitry, and/or code that may enable operation and/or functional operation of the five layers above the OSI model (Open System Interconnection, Open communication systems Interconnection reference model). Thus, the host may generate and/or process packets for transmission over the network, and may also process packets received from the network. At the same time, the host may provide services to a local user and/or one or more remote users or network nodes by executing corresponding instructions and/or running one or more applications. In various embodiments of the present application, the host may employ one or more security protocols.

In a specific application example of the present embodiment, the following is implemented.

The application example utilizes a multi-protocol data integration method to carry out big data monitoring/AI artificial intelligence analysis of the vehicle, and comprises the following steps:

acquiring state data of vehicle-mounted data of an automobile and driving behavior data of a driver by using a vehicle-mounted sensor;

the method comprises the steps that a network module is used for sending automobile state data and driver driving behavior data acquired from a vehicle-mounted sensor through a wireless communication network;

the cloud server is communicated with the network module, receives state data of the automobile and driving behavior data of a driver, analyzes and generates a driving prompt message, and returns the driving prompt message to the network module for displaying;

wherein the vehicle-mounted sensor may include:

the automobile state detection device is used for generating state data of the automobile;

driving behavior detection means for generating driving behavior data of a driver; the driving behavior detection device at least comprises a brake sensor and an accelerator sensor which are arranged at a brake device and an accelerator device of the automobile and are used for detecting the frequency and the strength of a brake and an accelerator;

the electronic control unit is connected with the automobile state detection device and the driving behavior detection device and is used for acquiring state data of an automobile and driving behavior data of a driver;

in particular, the cloud server according to the present embodiment includes:

and the media device (a preposed setting mode) is used for converting the received state data of the automobile and the driving behavior data of the driver into preset format data which can be identified and processed by the cloud server through preset strategy algorithm processing (protocol).

Although the present application has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the application, and all changes, substitutions and alterations that fall within the spirit and scope of the application are to be understood as being included within the following description of the preferred embodiment.

Claims (10)

1. A multi-protocol data integration method for a vehicle, the multi-protocol data integration method comprising the steps of:

the media device judges whether vehicle-mounted data sent by multi-terminal equipment is received in real time, wherein the multi-terminal equipment comprises at least one or a combination of vehicle-mounted equipment, vehicle-mounted auxiliary function equipment, vehicle body equipment, power equipment, a mobile phone and wearing equipment;

if vehicle-mounted data are received, accessing the vehicle-mounted data and carrying out protocol analysis processing to obtain a corresponding protocol type;

analyzing the vehicle-mounted data by adopting a preset strategy algorithm according to the protocol type to obtain preset format data for subsequent identification processing;

the media device stores the preset format data and/or forwards the preset format data to an application platform for direct/indirect calling.

2. The multi-protocol data integration method of claim 1, further comprising the steps of:

the media device acquires an accessible data protocol of the butted application platform;

and dynamically setting the preset measurement algorithm of the vehicle-mounted data according to the accessible data protocol so as to convert the vehicle-mounted data into preset format data which can be accessed by the application platform.

3. The multi-protocol data integration method of claim 2, wherein the vehicle-mounted auxiliary function device comprises an intelligent air conditioner controller, a high definition camera, an intelligent instrument, an advanced driving assistance and high definition player; the vehicle body equipment comprises a battery sensor, an intelligent generator, a vehicle body control module, a reversing radar module, a self-adaptive headlamp, a multifunctional steering wheel, a tire pressure monitoring system and a keyless entry and starting system; the power equipment comprises an engine management system, an electronic power steering system, an airbag module, a gearbox control unit, an electronic stability control module, an electronic parking brake module and a II-type vehicle-mounted sensor diagnosis interface.

4. The multi-protocol data integration method according to any one of claims 1 to 3, wherein the application platforms comprise a user handheld terminal, a cloud server, a big data processing platform, an AI artificial intelligence processing platform and an Internet of vehicles system.

5. The multi-protocol data integration method according to claim 1, wherein the step of determining whether the vehicle-mounted data sent by the multi-terminal device is received by the intermediary device in real time specifically comprises:

the media device realizes multi-protocol access through a plurality of protocol threads, wherein information supporting multi-protocols is configured in the media device, information of one or more protocol threads supporting multi-protocols is saved in the media device, and information of links responsible for each protocol thread is saved in the media device.

6. The multi-protocol data integration method of claim 5, wherein the multi-protocols comprise TCP/IP protocol, CAN protocol, NMEA0183 protocol, 802.11n protocol, 802.15 protocol, 3G/4G protocol, UDP/IP protocol, and SAEJ2735 data standard.

7. A mediation device, comprising a mediation processor for executing program data to implement the multi-protocol data integration method according to any one of claims 1-6.

8. A car machine apparatus characterized in that the car machine apparatus is provided with the media device according to claim 7.

9. A cloud server, characterized in that the cloud server is configured with the mediation device of claim 7.

10. A vehicle comprising an on-board processor for executing program data to implement the multi-protocol data integration method of any one of claims 1-6, the vehicle being an unmanned vehicle, a manned vehicle, or an intelligent vehicle that is free to switch between two driving states.

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