Vehicle control system using distributed cloud

Abstract

The present invention relates to a vehicle control system using a distributed cloud, the system comprising: a first-layer cloud server that collects vehicle state data generated by a vehicle in real time and processes the collected data in real time; and a second-layer cloud server that receives the vehicle state data generated by the vehicle or the data collected by the first-layer cloud server or the data processed by the first-layer cloud server, processes the received data and stores it, and provides the stored data to the vehicle through the first-layer cloud server or directly to the vehicle.

Description

Technical Field

[0001] The present invention relates to a vehicle control system using a distributed cloud, and more particularly, to a vehicle control system using a distributed cloud, which can more effectively control a vehicle through data communication with the vehicle by configuring a cloud server in a multi-layer structure and distributing data managed by each layer according to the timeliness of the data and whether it has been processed or not. Background Art

[0002] Recently applied cloud technologies related to vehicles are mainly implemented in the following way: a cloud server receives various state information or control information of a vehicle from the vehicle and stores it, and derives a plurality of data required for improving vehicle performance or development by analyzing the information stored in the cloud server for a certain period of time.

[0003] Since such existing cloud technologies related to vehicles simply receive various types of data from the vehicle and store them, the stored data becomes unnecessary when actually improving or developing vehicle performance after collecting the data, thus wasting resources such as storage space. Also, the method of analyzing data stored for a certain period of time (for example, 2 to 3 years) and reflecting it in vehicle performance improvement or development cannot keep up with rapid technological development.

[0004] Matters described in the above background art are only for enhancing the understanding of the background of the present invention, and should not be regarded as prior art known to those skilled in the art.

[0005] Prior Art Documents

[0006] Patent Documents

[0007] (Patent Document 1) KR 10-2015-0042566 A

[0008] (Patent Document 1) KR 10-2019-0122298 A Summary of the Invention

[0009] (1) Technical Problems to be Solved

[0010] The present invention relates to a vehicle control system using a distributed cloud, which configures a cloud server for a vehicle in a multi-layer structure and distributes and manages data received from the vehicle by layer according to timeliness and whether the data has been processed or not, so that not only can the data provided by the vehicle be stored, but also the vehicle can be controlled in real time by reflecting the data received from the vehicle, and the data received from the vehicle is processed and stored, and the stored processed data is used to control the vehicle.

[0011] (2) Technical Solutions

[0012] As a means for solving the above technical problems, the present invention provides a vehicle control system using a distributed cloud, the system comprising: a first-layer cloud server that collects in real time vehicle state data generated by a vehicle and processes the collected data in real time; and a second-layer cloud server that receives the vehicle state data generated by the vehicle or the data collected by the first-layer cloud server or the data processed by the first-layer cloud server, processes the received data and stores it, and provides the stored data to the vehicle through the first-layer cloud server or directly to the vehicle.

[0013] In one embodiment of the present invention, the first-layer cloud server may limit the amount of data storable for each vehicle.

[0014] In one embodiment of the present invention, the vehicle state data collected by the first-layer cloud server may include at least a part of the battery temperature, voltage, SOC, motor speed, voltage, temperature, vehicle speed, external temperature, and engine speed of the vehicle.

[0015] In one embodiment of the present invention, the second-layer cloud server may perform processing after a predetermined time delay from the time point of receiving the vehicle state data generated by the vehicle or the data collected by the first-layer cloud server or the data processed by the first-layer cloud server.

[0016] In one embodiment of the present invention, the second-layer cloud server may calculate at least a part of the average value, maximum / minimum value, RMS, and standard deviation of the received data.

[0017] In one embodiment of the present invention, the second-layer cloud server may store together the data obtained by processing the received data and the data generation date or time information for processing the corresponding processed data.

[0018] In one embodiment of the present invention, the system further includes a third-layer cloud server that further processes the data processed by the second-layer cloud server to generate data for analyzing the behavior of the data processed by the second-layer cloud server and stores it.

[0019] In one embodiment of the present invention, the third-layer cloud server may further process the data processed by the second-layer cloud server to generate at least a part of the driving mode, output mode, acceleration mode, battery degradation degree, cooling performance, and potential failure prediction value of the vehicle.

[0020] In one embodiment of the present invention, the data stored in the first - layer cloud server and the second - layer cloud server may be stored in the form of data sets, and the classification numbers of the data sets and the data corresponding to each classification number may be pre - standardized.

[0021] In one embodiment of the present invention, the data stored in the third - layer cloud server may be stored in the form of data sets, and the classification numbers of the data sets and the data corresponding to each classification number may be pre - standardized.

[0022] In one embodiment of the present invention, the vehicle may transmit a trigger signal to the first - layer cloud server. The trigger signal may include information about the type of requested data and the receiving point of the requested data. When the vehicle arrives at the receiving point, the first - layer cloud server may transmit the requested data collected at the point where the trigger signal was sent to the vehicle.

[0023] In one embodiment of the present invention, the vehicle may sequentially transmit a first trigger signal and a second trigger signal including information about the type of requested data and the receiving point of the requested data to the first - layer cloud server. When the vehicle arrives at the receiving point, the first - layer cloud server may transmit the requested data collected between the point where the first trigger signal was sent and the point where the second trigger signal was sent to the vehicle.

[0024] In one embodiment of the present invention, multiple first - layer cloud servers may be installed, and each of the multiple first - layer cloud servers may have a communicable area capable of communicating with the vehicle. The vehicle may communicate with the first - layer cloud server having its own affiliated communicable area during driving to transmit real - time data to the corresponding first - layer cloud server, and the second - layer cloud server may collect and aggregate the real - time data received from the vehicle by the multiple first - layer cloud servers.

[0025] In one embodiment of the present invention, multiple first - layer cloud servers may be installed, and each of the multiple first - layer cloud servers has a communicable area capable of communicating with the vehicle. The vehicle may communicate with the first - layer cloud server having its own affiliated communicable area during driving to transmit real - time data to the corresponding first - layer cloud server. Multiple second - layer cloud servers may be installed, and the second - layer cloud servers may communicate with some of the multiple first - layer cloud servers respectively. The multiple second - layer cloud servers may collect and aggregate the real - time data received from the vehicle by the first - layer cloud servers, and the third - layer cloud server may collect and aggregate the data aggregated by the multiple second - layer cloud servers.

[0026] As another means for solving the above technical problems, the present invention provides a vehicle control system using a distributed cloud, which system has a multi-layer structure and each layer has a cloud server. It is characterized in that the cloud server belonging to the bottom layer of the multi-layer structure communicates with the vehicle to collect and process in real time vehicle information data generated by the vehicle, and provides the collected data and the processed data to the vehicle. The cloud server belonging to the upper layer of the bottom layer processes the data provided from its lower layer and stores it, and communicates with the vehicle or the cloud server belonging to the lower layer to transmit the processed data directly or through the cloud server belonging to the lower layer to the vehicle.

[0027] In an embodiment of the present invention, the data stored in the cloud server belonging to the multi-layer structure may be stored in the form of a data set, and the classification numbers of the data set and the data corresponding to each classification number may be pre-standardized.

[0028] In an embodiment of the present invention, a plurality of cloud servers belonging to the bottom layer are installed, and each of the cloud servers belonging to the bottom layer has a communicable area capable of communicating with the vehicle. The vehicle can communicate with the bottom layer cloud server having its own communicable area during driving to transmit real-time data to the corresponding bottom layer cloud server, and the cloud server belonging to the upper layer can receive and process the real-time data or summarize the data of the real-time data from a plurality of cloud servers belonging to its lower layer.

[0029] (III) Beneficial effects

[0030] According to the vehicle control system and method using a distributed cloud, beyond simply collecting and storing the real-time data of the vehicle, it can be distributed by layer to calculate and store the real-time data and various information required for vehicle control derived from processing the real-time data, so that the vehicle in driving can be controlled in real time, and thus has the excellent effect of enabling the autonomous driving control of the vehicle.

[0031] The effects obtainable in the present invention are not limited to the above effects, and those skilled in the art will clearly understand other effects not mentioned from the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 is a configuration diagram showing a vehicle control system using a distributed cloud according to an embodiment of the present invention.

[0033] Figure 2 is a diagram showing an example of a data set stored in the cloud server of a vehicle control system using a distributed cloud according to an embodiment of the present invention.

[0034] Figure 3It is a diagram illustrating an example of a communication method between a vehicle and a first - layer cloud server in a vehicle control system using a distributed cloud according to an embodiment of the present invention.

[0035] Figure 4 It is a diagram illustrating an application example of vehicle control through communication with a first - layer cloud server in a vehicle control system using a distributed cloud according to an embodiment of the present invention.

[0036] Figure 5 It is a diagram illustrating an application example of vehicle control through communication with a second - layer cloud server in a vehicle control system using a distributed cloud according to an embodiment of the present invention.

[0037] Figure 6 It is a diagram illustrating an application example of vehicle control through communication with a third - layer cloud server in a vehicle control system using a distributed cloud according to an embodiment of the present invention.

[0038] Figure 7 It is a diagram illustrating another application example of vehicle control through communication with a third - layer cloud server in a vehicle control system using a distributed cloud according to an embodiment of the present invention.

[0039] Figure 8 It is a diagram illustrating a communication method between a vehicle and a cloud server in a vehicle control system using a distributed cloud according to an embodiment of the present invention.

[0040] Description of Reference Numerals

[0041] 10: Vehicle 100: First - layer cloud server

[0042] 200: Second - layer cloud server 300: Third - layer cloud server Detailed Description of the Embodiment

[0043] Hereinafter, a vehicle control system and method using a distributed cloud according to various embodiments of the present invention will be described in detail with reference to the accompanying drawings.

[0044] Figure 1 It is a configuration diagram showing a vehicle control system using a distributed cloud according to an embodiment of the present invention.

[0045] Refer to Figure 1, A vehicle control system using a distributed cloud according to an embodiment of the present invention is a vehicle control system using a distributed cloud. The system has a multi-layer structure and each layer has cloud servers 100, 200, and 300. The cloud server 100 belonging to the bottom layer of the multi-layer structure communicates with the vehicle 10 to collect vehicle state information generated by the vehicle 10 in real time, and provides the collected data to the vehicle. The cloud servers 200 and 300 belonging to the upper layer of the bottom layer can process and store the data provided by their lower layer, and communicate with the vehicle 10 to transmit the processed data to the vehicle 10. Figure 1 It is a diagram for exemplarily describing an embodiment having a total of three layers, and the number of layers can be appropriately adjusted as needed.

[0046] According to Figure 1 the embodiment shown, a vehicle control system using a distributed cloud may include: a first-layer cloud server 100 that communicates with the vehicle 10 and collects vehicle state data generated by the vehicle in real time; a second-layer cloud server 200 that processes the data collected by the first-layer cloud server 100 and provides the processed data to the vehicle 10.

[0047] The first-layer cloud server 100 can collect the raw data generated by the vehicle in real time by communicating with the vehicle 10. The first-layer cloud server 100 can collect and store vehicle data at the shortest possible sampling rate without losing data. In addition, the first-layer cloud server 100 can limit the amount of data that can be collected and stored from each vehicle communicating with the first-layer cloud server 100. Of course, if resources permit, all the data collected from the vehicle can be stored, but since the first-layer cloud server 100 mainly controls the vehicle by communicating with the vehicle in real time, in order to effectively use resources, it is preferable to limit the amount of data that can be stored for each vehicle.

[0048] The raw data collected by the first-layer cloud server 100 is the data generated and transmitted in various controllers of the vehicle. For example, it can be the battery temperature, voltage, SOC, RPM of the motor, voltage, temperature, vehicle speed, external temperature, and RPM of the engine of the vehicle 10.

[0049] When necessary, the vehicle 10 can request and receive the data stored in the first-layer cloud server 100.

[0050] The second - layer cloud server 200 can calculate items such as average value, maximum / minimum value, RMS, standard deviation, etc. by initially processing the raw data collected by the first - layer cloud server 100 and store them. The processed data can be stored and managed in the form of a preset data set. In particular, the data stored in the second - layer cloud server 200 can be stored in the form of processed data in a predetermined format rather than in the form of raw data, and can be stored together with the date of the corresponding data or the driving time, etc.

[0051] The first - layer cloud server 100 immediately stores the collected raw data, while the second - layer cloud server 200 processes the collected data. Therefore, there is no need to process and store the raw data in real - time, and a certain degree of delay time can be allowed from receiving the data to processing and storing the data.

[0052] When necessary, the vehicle 10 can request and receive the processed data from the second - layer cloud server 200.

[0053] An embodiment of the present invention may further include a third - layer cloud server 300.

[0054] The third - layer cloud server 300 can perform secondary processing on the data processed by the second - layer cloud server. Compared with the calculations required for data processing by the second - layer cloud server 200, the third - layer cloud server 300 can perform data processing that requires higher - performance computing power.

[0055] The third - layer cloud server 300 can use the data processed by the second - layer cloud server 200 to generate and store data such as the driving mode, output mode, acceleration mode, battery degradation degree, cooling performance, and potential fault prediction of the vehicle.

[0056] Figure 2 It is a diagram showing an example of a data set stored in a cloud server of a vehicle control system using a distributed cloud according to an embodiment of the present invention.

[0057] As Figure 2 shown, the data set stored in the first - layer cloud server 100 can be provided as multiple tables. The first set is the set of controllers in the vehicle 10 for generating the data transmitted from the vehicle 10, the second set is the raw data set generated by the controllers in the vehicle 10, the third set is the data set generated by initially processing the raw data, the fourth set is the set of time - setting values used as a standard when acquiring data, and the fifth set is the set of results obtained by performing calculations or judgments through logical operations using the raw data and the initially processed data.

[0058] For example, the first - layer cloud server 100 can store Figure 2For the first and second episodes, the second-layer cloud server 200 can store the third and fourth episodes, and the third-layer cloud server 300 can store the fifth episode. If the first-layer cloud server 100 can store the processed data capable of real-time computing, the third episode can be stored in the first-layer cloud server 100.

[0059] Preferably, such a data set is standardized so that the vehicle 10 can freely and conveniently obtain the data only after separately approving the secure access. For example, if Figure 2 the classification numbers of each set shown and the information corresponding to each classification number are standardized, the vehicle 10 and the cloud servers 100, 200, 300 of each layer can quickly and conveniently request data and transmit the requested data without separately searching for the data.

[0060] Figure 3 is a diagram showing an example of a communication method between a vehicle and a first-layer cloud server in a vehicle control system using a distributed cloud according to an embodiment of the present invention.

[0061] As Figure 3 shown, the vehicle 10 can transmit a trigger signal to the first-layer cloud server 100 at point T1 while driving. The trigger signal can include information about the type of requested data and the receiving point. When the vehicle arrives at the receiving point, the first-layer cloud server 100 can transmit the requested data collected at the point where the trigger signal is sent to the vehicle 10. For example, at point T1, when the vehicle requests the voltage information of the Battery Management System (BMS) ( Figure 2 item 4 of the first set and item 4 of the second set) and transmits a trigger signal designating point T3 as the receiving point to the first-layer cloud server 100, when the vehicle arrives at point T3, the first-layer cloud server 100 can transmit the voltage information of the BMS of the vehicle 10 collected at point T1 to the vehicle 10.

[0062] As another example, at points T2-1 and T2-2, when the vehicle 10 requests the average vehicle speed ( Figure 2 item 2 of the first set, item 7 of the second set, and item 2 of the third set) from the first-layer cloud server 100 and transmits trigger signals designating point T3 as the receiving point to the first-layer cloud server 100 respectively, when the vehicle arrives at point T3, the first-layer cloud server 100 can transmit the average vehicle speed of the vehicle 10 traveling from point T2-1 to point T2-2 calculated based on the vehicle speed information of the vehicle 10 collected between points T2-1 and T2-2 to the vehicle 10.

[0063] Here, the position information of the vehicle can be derived through the navigation system included in the vehicle 10, and the position information can be collected together when the first - layer cloud server 100 collects data from the vehicle 10.

[0064] Figure 4 FIG. is an example of the application of vehicle control through communication with a first - layer cloud server in a vehicle control system using a distributed cloud according to an embodiment of the present invention.

[0065] In Figure 4 In the example shown, a controller provided in the vehicle monitors the insulation resistance of the vehicle (S11), and when the insulation resistance decreases below a preset value (S12), various real - time data that affect the insulation resistance of the vehicle collected by the first - layer cloud server 100 within a specific time period can be requested and received from the first - layer cloud server 100 (S13). For example, the vehicle 10 can request and receive data such as the RPM (or its average value) of the motor, the RPM (or its average value) of the alternator, the RPM (or its average value) of the air - conditioner compressor, the power (or its change amount) of the high - voltage heater, or the vehicle speed (or its average value) within a specific time period.

[0066] Subsequently, an algorithm for predicting the pre - stored insulation breakdown inducing factors of the vehicle 10 can be executed to predict the insulation breakdown inducing factors (S14).

[0067] Figure 5 FIG. is an example of the application of vehicle control through communication with a second - layer cloud server in a vehicle control system using a distributed cloud according to an embodiment of the present invention. In particular, Figure 5 The example shown relates to predicting the battery charging time of the vehicle using data stored in the second - layer cloud server.

[0068] For example, a controller (e.g., BMS) provided in the vehicle can use information (e.g., charge state, charging current, etc.) that can be collected from the battery itself to predict the time required for battery charging (S21), receive information about the actual charging time of the vehicle from the second - layer cloud server 200, and compare the received information with the predicted charging time (S22). Subsequently, the controller can improve the accuracy of the algorithm for predicting the charging time by reflecting the actual charging time corresponding to the actual experience value in the algorithm for predicting the charging time (S23).

[0069] In addition, as another example of using the second - layer cloud server 200, during vehicle travel, a request is made to the second - layer cloud server 200 for the average battery temperature measured by the BMS in the previous year ( Figure 2For the items of the first episode of Project 4, the second episode of Project 3, the third episode of Project 2, and the fourth episode of Project 3), the second-layer cloud server 200 can calculate the annual average value of the battery temperature by using the pre-stored average value of the battery temperature for each trip, and provide the calculated annual average value of the battery temperature to the vehicle.

[0070] As another example, when the vehicle 10 requests the maximum output of the low-voltage DC-DC converter (LDC) for the last month during driving ( Figure 2 For the items of the first episode of Project 6, the second episode of Project 6, the third episode of Project 3, and the fourth episode of Project 2)), the second-layer cloud server 200 can transmit the maximum value of the pre-stored LDC power for each trip to the vehicle 10.

[0071] Figure 6 FIG. [FIG. number] is a diagram illustrating an application example of vehicle control through communication with a third-layer cloud server in a vehicle control system using a distributed cloud according to an embodiment of the present invention. In particular, Figure 6 The illustrated example relates to controlling the available output of a battery by using data stored in a third-layer cloud server when the battery is continuously charged or discharged.

[0072] For example, a controller (e.g., BMS) provided in the vehicle determines the time when the battery is continuously charged or discharged (S31), and when it is determined that the time when the battery is continuously charged or discharged is greater than a preset value A (S32), it may request the third-layer cloud server 300 to provide information about the output mode of the battery. The vehicle 10 can calculate a factor for limiting the output of the battery based on the information about the output mode received from the third-layer cloud server 300 according to a preset algorithm, and apply the factor to the output of the battery to limit the output of the battery (S33).

[0073] Figure 7 FIG. [FIG. number] is a diagram illustrating another application example of vehicle control through communication with a third-layer cloud server in a vehicle control system using a distributed cloud according to an embodiment of the present invention. In particular, Figure 7 The illustrated example relates to determining whether to apply an instantaneous large-output permission mode of the vehicle by using data stored in a third-layer cloud server.

[0074] For example, a controller (e.g., BMS) installed in a vehicle limits the power that the battery can output within a reference time period during normal driving. However, when a large output is required during overtaking or climbing a slope, the power limit needs to be stopped and an instantaneous large output is allowed. In this case, the controller performs an operation for executing the instantaneous large output mode by determining the vehicle speed information of the vehicle (S41), receiving the acceleration mode information of the vehicle from the third-layer cloud server 300 (S42), and determining the slope information of the road on which the vehicle is traveling (S43). The acceleration mode information received from the third-layer cloud server 300 can be used to apply the driver's driving mode (acceleration mode) to determine the level of the large output power output in the instantaneous large output mode.

[0075] Figure 8 FIG. is a diagram illustrating a communication method between a vehicle and a cloud server in a vehicle control system using a distributed cloud according to an embodiment of the present invention.

[0076] Refer to Figure 8 , the traveling vehicle 10 can communicate with the first-layer cloud server 100 closest to its location to transmit real-time data to the first-layer cloud server 100.

[0077] For example, a plurality of first-layer cloud servers 100 can be provided, and the plurality of first-layer cloud servers 100 can be installed at multiple locations. Each first-layer cloud server 100 can have a communicable area in which it can communicate. When the vehicle 10 moves, the vehicle 10 passes through the communicable areas of each of the plurality of first-layer cloud servers 100. When communication is required, the vehicle 10 communicates with the first-layer cloud server 100 having the communicable area to which it belongs to provide vehicle status data in real time.

[0078] The second-layer cloud server 200 can collect and aggregate the real-time data collected by the plurality of first-layer cloud servers 100 from the vehicle 10. The third-layer cloud server 300 can collect the data collected by the second-layer cloud server 200 to finally aggregate the real-time data of the vehicle 10 and store the real-time data received from the vehicle 10 during one trip. In this way, even when the vehicle is traveling at high speed, data can be collected in real time without loss.

[0079] As described above, the vehicle control system using a distributed cloud according to various embodiments of the present invention goes beyond simply collecting and storing the real-time data of the vehicle. It can be distributed by layer to calculate and store the real-time data and various information required for vehicle control derived by processing the real-time data, so that the traveling vehicle can be controlled in real time. Therefore, it has a great advantage of enabling autonomous driving control of the vehicle.

[0080] Specific embodiments of the present invention have been shown and described above. However, it will be apparent to those of ordinary skill in the art that various modifications and changes can be made without departing from the scope of the claims.

Claims

1. A vehicle control system using a distributed cloud, comprising: The first - layer cloud server collects vehicle - status data generated by a vehicle in real - time and processes the collected data in real - time; and The second - layer cloud server receives the vehicle - status data generated by the vehicle, or the data collected by the first - layer cloud server, or the data processed by the first - layer cloud server, processes the received data and stores it, and provides the stored data to the vehicle through the first - layer cloud server or directly to the vehicle, characterized in that the vehicle sequentially sends a first trigger signal and a second trigger signal to the first - layer cloud server at a first point and a second point respectively; the first trigger signal and the second trigger signal include the type of requested data and information related to the receiving point of the requested data; when the vehicle reaches the receiving point, the first - layer cloud server transmits the requested data collected between the first point and the second point to the vehicle; and the requested data is the vehicle - status data collected by the first - layer cloud server or the data obtained by the first - layer cloud server by processing the vehicle - status data.

2. The vehicle control system using a distributed cloud according to claim 1, wherein The first - layer cloud server limits the amount of data that can be stored for each vehicle.

3. The vehicle control system using a distributed cloud according to claim 1, wherein The vehicle - status data collected by the first - layer cloud server includes one or more of the following: the temperature of the battery, the voltage of the battery, the SOC of the battery, the rotational speed of the motor, the voltage of the motor, the temperature of the motor, the vehicle speed, the external temperature, and the engine speed of the vehicle.

4. The vehicle control system using a distributed cloud according to claim 1, wherein The second - layer cloud server processes the data after a predetermined time delay from the time point of receiving the vehicle - status data generated by the vehicle, or the data collected by the first - layer cloud server, or the data processed by the first - layer cloud server.

5. The vehicle control system using a distributed cloud according to claim 1, wherein The second - layer cloud server calculates one or more of the following: the average value of the received data, the maximum / minimum value, the RMS, and the standard deviation.

6. The vehicle control system using a distributed cloud according to claim 1, wherein The second - layer cloud server stores the data obtained by processing the received data together with the data generation date or time information for processing the corresponding processed data.

7. The vehicle control system using a distributed cloud according to claim 1, further comprising: The third - layer cloud server further processes the data processed by the second - layer cloud server to generate data for analyzing the behavior of the data processed by the second - layer cloud server and stores it.

8. The vehicle control system using a distributed cloud according to claim 7, wherein The third - layer cloud server further processes the data processed by the second - layer cloud server to generate one or more of the following: the driving mode of the vehicle, the output mode, the acceleration mode, the degree of battery degradation, the cooling performance, and the potential failure prediction value.

9. The vehicle control system using a distributed cloud according to claim 1, wherein The data stored in the first - layer cloud server and the second - layer cloud server is stored in the form of a data set, and the classification numbers of the data set and the information classification corresponding to each classification number are pre - standardized.

10. The vehicle control system using a distributed cloud according to claim 7, wherein The data stored in the third - layer cloud server is stored in the form of a data set, and the classification numbers of the data set and the information classification corresponding to each classification number are pre - standardized.

11. The vehicle control system using a distributed cloud according to claim 1, wherein The vehicle transmits a trigger signal to the first - layer cloud server, and the trigger signal includes information about the type of requested data and the receiving point of the requested data, When the vehicle arrives at the receiving point, the first-layer cloud server transmits the request data collected at the point where the trigger signal is sent to the vehicle.

12. The vehicle control system using a distributed cloud according to claim 1, characterized in that, A plurality of the first-layer cloud servers are installed, and each of the plurality of first-layer cloud servers has a communicable area capable of communicating with the vehicle. While the vehicle is in motion, it communicates with the first-layer cloud server having the communicable area to which it belongs to transmit real-time data to the corresponding first-layer cloud server. The second-layer cloud server collects and processes the real-time data received from the vehicle by the plurality of first-layer cloud servers.

13. The vehicle control system using a distributed cloud according to claim 7, characterized in that, A plurality of the first-layer cloud servers are installed, and each of the plurality of first-layer cloud servers has a communicable area capable of communicating with the vehicle. While the vehicle is in motion, it communicates with the first-layer cloud server having the communicable area to which it belongs to transmit real-time data to the corresponding first-layer cloud server. A plurality of the second-layer cloud servers are installed. The second-layer cloud servers communicate with some of the plurality of first-layer cloud servers respectively. The plurality of second-layer cloud servers collect and summarize the real-time data received from the vehicle by the first-layer cloud servers. The third-layer cloud server collects and summarizes the data summarized by the plurality of second-layer cloud servers.

14. A vehicle control system using a distributed cloud, the system having a multi-layer structure and each layer having a cloud server, characterized in that, The cloud server belonging to the bottom layer of the multi-layer structure communicates with the vehicle to collect and process in real time the vehicle information data generated by the vehicle, and provides the collected data and the processed data to the vehicle. The cloud server belonging to the upper layer of the bottom layer processes and stores the data provided from the bottom layer, and communicates with the vehicle or the cloud server belonging to the bottom layer to transmit the processed data to the vehicle directly or through the cloud server belonging to the bottom layer. It is characterized in that The vehicle sequentially sends a first trigger signal and a second trigger signal to the cloud server belonging to the bottom layer at a first point and a second point respectively. The first trigger signal and the second trigger signal include the type of the request data and information related to the receiving point of the request data. When the vehicle arrives at the receiving point, the cloud server belonging to the bottom layer transmits the request data collected between the first point and the second point to the vehicle; and The request data is the vehicle status data collected by the cloud server belonging to the bottom layer or the data obtained by the cloud server belonging to the bottom layer through processing the vehicle status data.

15. The vehicle control system using a distributed cloud according to claim 14, characterized in that, The data stored in the cloud servers belonging to the multi-layer structure is stored in the form of data sets, and the classification numbers of the data sets and the data corresponding to each classification number are pre-standardized.

16. The vehicle control system using a distributed cloud according to claim 14, characterized in that, A plurality of cloud servers belonging to the bottom layer are installed, and each of the cloud servers belonging to the bottom layer has a communicable area capable of communicating with the vehicle. While the vehicle is in motion, it communicates with the bottom-layer cloud server having the communicable area to which it belongs to transmit real-time data to the corresponding bottom-layer cloud server. The cloud server belonging to the upper layer receives and processes real-time data from multiple cloud servers belonging to its lower layer or aggregates the data of the real-time data.

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