Vehicle control method, device and system

Abstract

The invention relates to a vehicle control method, device and system. The invention relates to the field of vehicle control and solves the problem of low vehicle control management efficiency. The method comprises the following steps: remotely acquiring operation data of a vehicle; analyzing the operation data in real time to obtain the operation state of the vehicle; and controlling the vehicle according to the running state. The technical scheme provided by the invention is suitable for real-time control in a vehicle running state, and efficient and accurate industrial vehicle control management is realized.

Description

Technical Field

[0001] The present disclosure relates to the field of vehicle control, and in particular to a vehicle control method, device and system. Background Art

[0002] The controllers of industrial vehicles generate a large amount of operating data every day, which contains various information related to vehicle operation. The operating data is continuously generated and the amount of data is huge, so it is difficult to process the data in a timely manner to obtain effective information.

[0003] Due to the lack of effective processing of operating data, abnormal situations such as vehicle failures cannot be discovered and eliminated in a timely manner, affecting the efficiency of vehicle control and management. Summary of the invention

[0004] In order to overcome the problems existing in the related art, the present disclosure provides a vehicle control method and device. The vehicle operation data is processed through a network system including a remote platform, thereby solving the problem of low efficiency of vehicle control management and realizing efficient and accurate industrial vehicle control management.

[0005] According to a first aspect of an embodiment of the present disclosure, there is provided a vehicle control method, comprising: Remotely obtain vehicle operation data; Analyze the operation data in real time to obtain the operation status of the vehicle; The vehicle is controlled according to the operating state.

[0006] Furthermore, the operating data includes at least one or more of the following parameters: Voltage, current, temperature, motor speed, The step of remotely acquiring the vehicle's operating data includes: remotely obtain the operating data uploaded by the controller of the vehicle; or, Remotely obtain the operating data stored on a data management device, wherein the data management device includes at least one or more of the following devices: Mobile terminals and gateway devices.

[0007] Furthermore, the step of analyzing the operating data in real time to obtain the operating status of the vehicle includes: Analyze historical data, where the historical data includes the operation data acquired for the most recent N times, where N is a positive integer; When abnormal operation data having a deviation degree reaching a preset deviation range exists in the historical data, it is determined that the operation state of the vehicle is abnormal.

[0008] Furthermore, the step of analyzing historical data includes: Calculate the average value and / or standard deviation of each parameter according to the historical data; Calculating the degree of deviation of N values ​​of each parameter in the historical data according to the mean value and / or the standard deviation; The deviation degree of each parameter is compared with the preset deviation range corresponding to the parameter.

[0009] Furthermore, the step of controlling the vehicle according to the operating state includes: In case the running state of the vehicle is abnormal, issuing a data abnormality warning for abnormal parameters and / or abnormal running data; and / or, When the operating state of the vehicle is abnormal, the operating parameters of the vehicle are adjusted according to the abnormal parameters and / or abnormal operating data.

[0010] Furthermore, the method of issuing a data anomaly alarm includes at least one or more of the following methods: Send data abnormality alarms to the alarm platform; Send data anomaly alerts to preset terminals and / or accounts; Call the preset terminal; Control the preset alarm device to start the alarm; Storage data abnormality alarm.

[0011] According to a second aspect of an embodiment of the present disclosure, there is provided a vehicle control device, comprising: Data collection platform, used to remotely obtain vehicle operation data; A data analysis platform, used to analyze the operation data in real time and obtain the operation status of the vehicle; The abnormal response platform is used to control the vehicle according to the operating status.

[0012] Furthermore, the operating data includes at least one or more of the following parameters: Voltage, current, temperature, motor speed, The data acquisition platform includes: A first acquisition module, used for remotely acquiring the operation data uploaded by the controller of the vehicle; The second acquisition module is used to remotely acquire the operation data stored on a data management device, wherein the data management device includes at least one or more of the following devices: Mobile terminals and gateway devices.

[0013] Furthermore, the data analysis platform includes: a deviation analysis module, used to analyze historical data, calculate the average value and / or standard deviation of each parameter according to the historical data, calculate the deviation degree of N values ​​of each parameter in the historical data according to the average value and / or the standard deviation, and compare the deviation degree of each parameter with the preset deviation range corresponding to the parameter, wherein the historical data includes the operation data acquired for the most recent N times, where N is a positive integer; The abnormality determination module is used to determine that the operating state of the vehicle is abnormal when there is abnormal operating data in the historical data whose deviation degree reaches a preset deviation range.

[0014] Furthermore, the abnormal response platform includes: The alarm module is used to issue a data abnormality alarm for abnormal parameters and / or abnormal operating data when the operating state of the vehicle is abnormal. The method of issuing the data abnormality alarm includes at least one or more of the following methods: Send data abnormality alarms to the alarm platform, Send data anomaly alerts to preset terminals and / or accounts, Call the preset terminal, Control the preset alarm device to start the alarm, Storage data abnormality alarm; The operation control module is used to adjust the operation parameters of the vehicle according to the abnormal parameters and / or abnormal operation data when the operation state of the vehicle is abnormal.

[0015] According to a third aspect of an embodiment of the present disclosure, there is provided a vehicle control system, comprising the above-mentioned vehicle control device and a data source device; The vehicle control device is used to remotely obtain the operation data of the vehicle from the data source device, analyze the operation data in real time, obtain the operation status of the vehicle, and control the vehicle according to the operation status; The data source device is used to send the operating data to the vehicle control device.

[0016] Further, the data source device includes a controller and / or a data management device of the vehicle; The vehicle control device is used to obtain the operating data collected by the data management device from the data management device when the data source device is a data management device; The data management device is used to collect operating data of at least one vehicle.

[0017] The technical solution provided by the embodiments of the present disclosure may include the following beneficial effects: remotely acquiring the operation data of the vehicle, analyzing the operation data in real time, acquiring the operation status of the vehicle, and then controlling the vehicle according to the operation status. The vehicle operation status is detected and controlled through a remote platform, solving the problem of low vehicle control effect caused by low efficiency and accuracy of abnormal data detection.

[0018] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0020] Figure 1 The present invention is a flow chart of a vehicle control method according to an exemplary embodiment.

[0021] Figure 2 is a flowchart of yet another vehicle control method according to an exemplary embodiment.

[0022] Figure 3 is a flowchart of yet another vehicle control method according to an exemplary embodiment.

[0023] Figure 4 is a block diagram of a vehicle control device according to an exemplary embodiment.

[0024] Figure 5 is a structural block diagram of a data acquisition platform 401 according to an exemplary embodiment.

[0025] Figure 6 is a structural block diagram of a data analysis platform 402 according to an exemplary embodiment.

[0026] Figure 7 It is a structural block diagram of the abnormal response platform 403 according to an exemplary embodiment.

[0027] Figure 8 is a block diagram of a vehicle control system according to an exemplary embodiment.

[0028] Fig. 9 The invention is a block diagram of a device for vehicle control according to an exemplary embodiment. DETAILED DESCRIPTION

[0029] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are merely examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.

[0030] Due to the lack of effective processing of operating data, abnormal situations such as vehicle failures cannot be discovered and eliminated in a timely manner, affecting the efficiency of vehicle control and management.

[0031] In order to solve the above problems, the embodiments of the present disclosure provide a vehicle control method, device and system. The vehicle's operating status is monitored and managed through a remote platform, which solves the problem of low efficiency in vehicle control management and achieves efficient and accurate vehicle control management.

[0032] An exemplary embodiment of the present disclosure provides a vehicle control method, and the process of using the method to control a vehicle such as an industrial vehicle is as follows: Figure 1 As shown, including: Step 101: remotely obtain vehicle operation data.

[0033] In this step, the operating data includes at least one or more of the following parameters: Voltage, current, temperature, motor speed, Ways to obtain vehicle operation data include: 1. Remotely obtain the operating data uploaded by the controller of the vehicle.

[0034] The vehicle controller can upload operating data to the remote platform, and the remote platform directly obtains the operating data from the vehicle controller. The remote platform can be a cloud platform or a big data platform, which has the ability to store and / or analyze and process massive amounts of data. For example, the remote platform is a cloud server.

[0035] 2. Remotely obtain the operating data stored on the data management device.

[0036] The data management device includes at least one or more of the following devices: Mobile terminals and gateway devices.

[0037] The operation data can be collected, stored and forwarded through the data management device. The data management device can be a mobile terminal, such as the driver's mobile phone, which is bound to the vehicle he drives. The vehicle's operation data is collected by the mobile terminal and provided to the remote platform; the data management device can also be a gateway device, which arranges a data collection network for multiple vehicles in an area. The data collection network can be a single-level network or a multi-level network. The controllers of multiple vehicles transmit the generated operation data to their corresponding gateway devices, and then the gateway device provides the operation data to the remote platform.

[0038] For example, running data transmission is transmitted to a gateway device through a communication interface or directly uploaded to a cloud server.

[0039] Step 102: Analyze the operating data in real time to obtain the operating status of the vehicle.

[0040] In this step, the operating data is analyzed in real time to promptly detect whether there is any abnormality in the operating status of the vehicle.

[0041] According to one embodiment, this step is as follows Figure 2 As shown, including: Step 201: Analyze historical data, where the historical data includes the operation data acquired for the most recent N times.

[0042] N is a positive integer.

[0043] In this step, the historical data is analyzed. The rules for delineating historical data can be preset, for example, taking the operation data acquired for the most recent N times. The conditions for triggering the analysis of historical data can be based on a preset time point or cycle, or after each acquisition of M new operation status data, or based on user instructions. The purpose of delineating the scope of historical data and triggering the analysis behavior is to achieve deviation degree analysis and then discover anomalies in the data. The historical data delineation rules and analysis triggering conditions involved in the embodiments of the present invention are not limited to those listed above.

[0044] For example, after receiving the operation data, the device management system on the cloud server performs data analysis, processing, and storage. The cloud server can connect the data to the components Elasticsearch Kibana and Apache Flink to analyze the data.

[0045] Step 202: When there is abnormal operation data in the historical data whose deviation degree reaches a preset deviation range, it is determined that the operation state of the vehicle is abnormal.

[0046] In this step, by analyzing the degree of deviation of the operating data, abnormal operating data that reaches a preset deviation range is screened out, thereby discovering the abnormality of the vehicle.

[0047] When analyzing the operating data, the analysis may be performed at the parameter level. According to an exemplary embodiment, the degree of deviation may be analyzed for different parameters respectively to find abnormal operating data in the historical data of each parameter.

[0048] When judging the running status of a vehicle, it is possible to determine whether a certain parameter is abnormal, or whether a certain collected value of a certain parameter is abnormal. The setting of the judgment granularity can be carried out according to the actual application requirements.

[0049] Step 103: Control the vehicle according to the operating status.

[0050] In this step, the vehicle is controlled according to the operating status.

[0051] When the running state of the vehicle is abnormal, a data abnormality warning for abnormal parameters and / or abnormal running data is issued. Warning of abnormality can realize early detection of abnormality or fault.

[0052] In the case of abnormal operation of the vehicle, the operation parameters of the vehicle are adjusted according to the abnormal parameters and / or abnormal operation data. For abnormal functions pointed to by certain parameters, automatic control response can be directly performed to brake the vehicle, correct control parameters, etc., to quickly repair the abnormality or fault. For example, when there are abnormalities in parameters such as voltage and current, the voltage, current or vehicle operation is controlled.

[0053] The method of issuing a data anomaly alarm includes at least one or more of the following methods: Send data abnormality alarms to the alarm platform; Send data anomaly alerts to preset terminals and / or accounts; Call the preset terminal; Control the preset alarm device to start the alarm; Storage data abnormality alarm.

[0054] For example, data anomaly alarms containing abnormal parameter values ​​are output to the Kibana visualization control panel through Flink to remind administrators of the anomaly.

[0055] An exemplary embodiment of the present disclosure also provides a vehicle control method, using the method to analyze history on a remote platform. Figure 3 As shown, including: Step 301: Calculate the average value and / or standard deviation of each parameter according to the historical data.

[0056] For example, calculate the average of multiple historical data of a parameter and standard deviation :

[0057]

[0058] Step 302: Calculate the degree of deviation of N values ​​of each parameter in the historical data according to the mean value and / or the standard deviation.

[0059] For example, for each data point of a parameter (each run contains one data point for each parameter), calculate its deviation from the mean value. :

[0060] where z is the normalized value (also called a z-score or standard score).

[0061] x is the original data point.

[0062] μ is the mean of the historical data of this parameter.

[0063] σ is the standard deviation of the historical data of the parameter.

[0064] Step 303: Compare the deviation degree of each parameter with the preset deviation range corresponding to the parameter.

[0065] In the embodiment of the present invention, a corresponding deviation range may be set for each parameter, so that when there are data points in the parameters whose deviation degree exceeds the deviation range, it is determined that abnormal data exists.

[0066] For example, for a certain parameter, a threshold is set as the deviation range, and the z value of each data point is judged whether it exceeds the threshold. If it exceeds, the data point is considered an outlier.

[0067] When the z value is greater than +2 or less than -2, it means that it has exceeded the 95% confidence interval and is called an outlier. The secondary check determines whether the original value is a specific value, excludes the outlier, and considers it a normal value.

[0068] An exemplary embodiment of the present disclosure also provides a vehicle control device, the structure of which is as follows: Figure 4 As shown, including: The data collection platform 401 is used to remotely obtain the operation data of the vehicle; A data analysis platform 402 is used to analyze the operation data in real time to obtain the operation status of the vehicle; The abnormal response platform 403 is used to control the vehicle according to the operating status.

[0069] Furthermore, the operating data includes at least one or more of the following parameters: Voltage, current, temperature, motor speed.

[0070] The structure of the data acquisition platform 401 is as follows Figure 5 As shown, including: A first acquisition module 501 is used to remotely acquire the operation data uploaded by the controller of the vehicle; The second acquisition module 502 is used to remotely acquire the operation data stored in a data management device, wherein the data management device includes at least one or more of the following devices: Mobile terminals and gateway devices.

[0071] Furthermore, the structure of the data analysis platform 402 is shown in Figure 6, including: The deviation analysis module 601 is used to analyze the historical data, calculate the average value and / or standard deviation of each parameter according to the historical data, calculate the deviation degree of N values ​​of each parameter in the historical data according to the average value and / or the standard deviation, and compare the deviation degree of each parameter with the preset deviation range corresponding to the parameter, wherein the historical data includes the operation data acquired for the most recent N times, where N is a positive integer; The abnormality determination module 602 is used to determine that the operating state of the vehicle is abnormal when there is abnormal operating data with a deviation degree reaching a preset deviation range in the historical data.

[0072] Furthermore, the structure of the abnormal response platform 403 is as follows: Figure 7 As shown, including: The alarm module 701 is used to issue a data abnormality alarm for abnormal parameters and / or abnormal operating data when the operating state of the vehicle is abnormal. The method of issuing the data abnormality alarm includes at least one or more of the following methods: Send data abnormality alarms to the alarm platform, Send data anomaly alerts to preset terminals and / or accounts, Call the preset terminal, Control the preset alarm device to start the alarm, Storage data abnormality alarm; The operation control module 702 is used to adjust the operation parameters of the vehicle according to the abnormal parameters and / or abnormal operation data when the operation state of the vehicle is abnormal.

[0073] Regarding the device in the above embodiment, the specific way in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here. The above device can be integrated in a remote platform such as a cloud server, and the remote platform implements the corresponding functions.

[0074] An exemplary embodiment of the present disclosure also provides a vehicle control system, such as Figure 8 As shown, it includes a vehicle control device 801 and a data source device 802 provided by an embodiment of the present disclosure.

[0075] The vehicle control device 801 is used to remotely obtain the operation data of the vehicle from the data source device 802, analyze the operation data in real time, obtain the operation status of the vehicle, and control the vehicle according to the operation status; The data source device 802 is used to send the operating data to the vehicle control device 801.

[0076] Furthermore, the data source device 802 includes a controller and / or a data management device of the vehicle.

[0077] The vehicle control device 801 is used for obtaining the operation data collected by the data management device from the data management device when the data source device 802 is a data management device; The data management device is used to collect operating data of at least one vehicle.

[0078] The data management device includes at least one or more of the following devices: Mobile terminals and gateway devices.

[0079] The data management device may obtain the operation data of the corresponding vehicle from a controller of at least one vehicle.

[0080] An exemplary embodiment of the present disclosure further provides a non-transitory computer-readable storage medium, when instructions in the storage medium are executed by a processor of a mobile terminal, the mobile terminal is enabled to execute a vehicle control method, the method comprising: Remotely obtain vehicle operation data; Analyze the operation data in real time to obtain the operation status of the vehicle; The vehicle is controlled according to the operating state.

[0081] Fig. 9 is a block diagram of a device 900 for vehicle control according to an exemplary embodiment. For example, the device 900 may be provided as a server. Fig. 9, the apparatus 900 includes a processing component 922, which further includes one or more processors, and a memory resource represented by a memory 932 for storing instructions, such as an application, that can be executed by the processing component 922. The application stored in the memory 932 may include one or more modules, each corresponding to a set of instructions. In addition, the processing component 922 is configured to execute the instructions to perform the above method.

[0082] The device 900 may also include a power supply component 926 configured to perform power management of the device 900, a wired or wireless network interface 950 configured to connect the device 900 to a network, and an input / output (I / O) interface 958. The device 900 may operate based on an operating system stored in the memory 932, such as Windows Server™, Mac OS X™, Unix™, Linux™, FreeBSD™, or the like.

[0083] The embodiments of the present invention provide a vehicle control method, device and system, which remotely obtain the operation data of the vehicle, analyze the operation data in real time, obtain the operation status of the vehicle, and then control the vehicle according to the operation status. The vehicle operation status is detected and controlled through a remote platform, which solves the problem of poor vehicle control effect caused by low efficiency and accuracy of abnormal data detection.

[0084] The vehicle's operating status is detected and controlled through a remote platform. Based on the remote platform, the resources of the entire vehicle control system are expanded, the computing power of the vehicle control system is improved, and large amounts of data can be analyzed in real time and accurately.

[0085] By utilizing the computing and storage capabilities of the remote platform, real-time analysis of operating data can be achieved, abnormal data can be discovered in a timely manner, and response operations such as alarms and controls can be performed based on abnormal data. Accurately locating the part that does not prompt abnormal data improves the efficiency and accuracy of abnormal data detection.

[0086] According to some exemplary embodiments, various parameter data of the vehicle controller, such as voltage, current, temperature, motor speed, etc., are collected and reported to the cloud server in real time, and the Elasticsearch big data processing system is introduced to build a business intelligence analysis application platform to help understand the operational data and extract valuable information from it. Through complex query and aggregation functions, the data is deeply analyzed. During real-time data analysis, the abnormal data value is determined through the custom precise alarm method, and then the relevant personnel are notified to handle it in time. Through real-time data analysis, the custom precise alarm method is used to output the results to the Kibana visual control panel of Elasticsearch, and the administrator is notified of data anomalies in time by email, SMS, etc., to achieve real-time monitoring and alarm.

[0087] Those skilled in the art will readily appreciate other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art that are not disclosed in this disclosure. The specification and examples are to be considered exemplary only, and the true scope and spirit of the present invention are indicated by the following claims.

[0088] It should be understood that the present invention is not limited to the exact construction that has been described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A vehicle control method, characterized in that: include: Remotely obtain vehicle operation data; Analyze the operation data in real time to obtain the operation status of the vehicle; The vehicle is controlled according to the operating state.

2. The vehicle control method according to claim 1, characterized in that: The operating data includes at least one or more of the following parameters: Voltage, current, temperature, motor speed, The step of remotely acquiring the vehicle's operating data includes: remotely obtain the operating data uploaded by the controller of the vehicle; or, Remotely obtain the operating data stored on a data management device, wherein the data management device includes at least one or more of the following devices: Mobile terminals and gateway devices.

3. The vehicle control method according to claim 2, characterized in that: The step of analyzing the operating data in real time to obtain the operating status of the vehicle includes: Analyze historical data, where the historical data includes the operation data acquired for the most recent N times, where N is a positive integer; When abnormal operation data having a deviation degree reaching a preset deviation range exists in the historical data, it is determined that the operation state of the vehicle is abnormal.

4. The vehicle control method according to claim 3, characterized in that: The step of analyzing historical data includes: Calculate the average value and / or standard deviation of each parameter according to the historical data; Calculating the degree of deviation of N values ​​of each parameter in the historical data according to the mean value and / or the standard deviation; The deviation degree of each parameter is compared with the preset deviation range corresponding to the parameter.

5. The vehicle control method according to claim 1 or 4, characterized in that: The step of controlling the vehicle according to the operating state comprises: In case the running state of the vehicle is abnormal, issuing a data abnormality warning for abnormal parameters and / or abnormal running data; and / or, When the operating state of the vehicle is abnormal, the operating parameters of the vehicle are adjusted according to the abnormal parameters and / or abnormal operating data.

6. The vehicle control method according to claim 5, characterized in that: The method of issuing a data anomaly alarm includes at least one or more of the following methods: Send data abnormality alarms to the alarm platform; Send data anomaly alerts to preset terminals and / or accounts; Call the preset terminal; Control the preset alarm device to start the alarm; Storage data abnormality alarm.

7. A vehicle control device, characterized in that: include: Data collection platform, used to remotely obtain vehicle operation data; A data analysis platform, used to analyze the operation data in real time and obtain the operation status of the vehicle; The abnormal response platform is used to control the vehicle according to the operating status.

8. The vehicle control device according to claim 7, characterized in that: The operating data includes at least one or more of the following parameters: Voltage, current, temperature, motor speed, The data acquisition platform includes: A first acquisition module, used for remotely acquiring the operation data uploaded by the controller of the vehicle; The second acquisition module is used to remotely acquire the operation data stored on a data management device, wherein the data management device includes at least one or more of the following devices: Mobile terminals and gateway devices.

9. The vehicle control device according to claim 8, characterized in that: The data analysis platform includes: a deviation analysis module, used to analyze historical data, calculate the average value and / or standard deviation of each parameter according to the historical data, calculate the deviation degree of N values ​​of each parameter in the historical data according to the average value and / or the standard deviation, and compare the deviation degree of each parameter with the preset deviation range corresponding to the parameter, wherein the historical data includes the operation data acquired for the most recent N times, where N is a positive integer; The abnormality determination module is used to determine that the operating state of the vehicle is abnormal when there is abnormal operating data in the historical data whose deviation degree reaches a preset deviation range.

10. The vehicle control device according to claim 7, characterized in that: The abnormal response platform includes: The alarm module is used to issue a data abnormality alarm for abnormal parameters and / or abnormal operating data when the operating state of the vehicle is abnormal. The method of issuing the data abnormality alarm includes at least one or more of the following methods: Send data abnormality alarms to the alarm platform, Send data anomaly alerts to preset terminals and / or accounts, Call the preset terminal, Control the preset alarm device to start the alarm, Storage data abnormality alarm; The operation control module is used to adjust the operation parameters of the vehicle according to the abnormal parameters and / or abnormal operation data when the operation state of the vehicle is abnormal.

11. A vehicle control system, characterized in that: comprising a vehicle control device and a data source device as claimed in any one of claims 7 to 10; The vehicle control device is used to remotely obtain the operation data of the vehicle from the data source device, analyze the operation data in real time, obtain the operation status of the vehicle, and control the vehicle according to the operation status; The data source device is used to send the operating data to the vehicle control device.

12. The vehicle control system according to claim 11, characterized in that: The data source device includes a controller and / or a data management device of the vehicle; The vehicle control device is used to obtain the operating data collected by the data management device from the data management device when the data source device is a data management device; The data management device is used to collect operating data of at least one vehicle.

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