CN116708403A

CN116708403A - Method and system for checking real-time monitoring data of a vehicle

Info

Publication number: CN116708403A
Application number: CN202210175027.9A
Authority: CN
Inventors: 魏新宇; 张阳; 阎宇驰; 王韵琴
Original assignee: BMW Brilliance Automotive Ltd
Current assignee: BMW Brilliance Automotive Ltd
Priority date: 2022-02-25
Filing date: 2022-02-25
Publication date: 2023-09-05

Abstract

The present disclosure relates to a method and system for checking real-time monitoring data of a vehicle. There is provided a method for checking real-time monitoring data of a vehicle, comprising: receiving real-time monitoring data from a sold vehicle and storing the data; periodically analyzing the stored real-time monitoring data to determine the number of vehicles having abnormal real-time monitoring data; and generating a report of the results of the analysis and pushing the report to a specific person of the automobile manufacturing company, the report including the number of vehicles having abnormal real-time monitoring data.

Description

Method and system for checking real-time monitoring data of a vehicle

Technical Field

The present disclosure relates to data quality inspection, and more particularly to a method, computer system, computer readable medium and computer program product for inspecting real-time monitoring data of a vehicle.

Background

During the operation of real-time monitoring (RTM) business of an automobile, a large amount of real-time monitoring data is received from the vehicle and stored in a database maintained by the automobile manufacturing company or a third party. However, there is currently no solution for automatically checking a large amount of stored data. When an error occurs, a lot of manpower is required to manually check real-time monitoring data of a vehicle. Since a large number of real-time monitoring data of vehicles are stored in the database, checking the data on a vehicle-by-vehicle basis is a serious burden for a person.

Due to the large number of vehicles, there are many data errors during the operation of the service, including for example, missing vehicle data, failed vehicle activation, failed data upload, etc.

On the other hand, government authorities have special provisions for real-time monitoring of vehicles. If an accident occurs in a vehicle, the authorities need to investigate the data uploaded by the vehicle to determine the cause of the accident. And the data blank due to the above data error or the like will be partially investigated by the government. If the customer vehicle has a data blank problem, the authority will question compliance of the automobile manufacturing company.

Furthermore, currently, a national platform (e.g., a platform established by the university of Beijing technology) or a local city platform (e.g., a platform in Shanghai) will randomly perform signal inspection of registered customer vehicles with real-time monitoring data. The error code will be triggered based on some custom rules (e.g., a high proportion of invalid GPS signals, etc.). The authority will ask the device manufacturer about the invalid signal based on these error codes.

Disclosure of Invention

The present disclosure is directed to a method, computer system, computer readable medium, and computer program product for inspecting real-time monitoring data of a vehicle.

According to some embodiments of the present disclosure, there is provided a method for checking real-time monitoring data of a vehicle, comprising: receiving real-time monitoring data from a sold vehicle and storing the data; periodically analyzing the stored real-time monitoring data to determine the number of vehicles having abnormal real-time monitoring data; and generating a report of the results of the analysis and pushing the report to a specific person of the automobile manufacturing company, the report including the number of vehicles having abnormal real-time monitoring data.

According to some embodiments of the present disclosure, having anomalous real-time monitoring data indicates one of: the real-time monitoring function of the vehicle is not activated; data transmission from the vehicle is faulty.

According to some embodiments of the present disclosure, data transmission from the vehicle is faulty indicating at least one of: never receiving real-time monitoring data from the vehicle; a certain period of time has elapsed since the last time real-time monitoring data was received from the vehicle; and no real-time monitoring data is received from the vehicle after a certain number of consecutive logins.

According to some embodiments of the present disclosure, the method further comprises providing a graphical user interface to display a result of the analysis in response to a query request by a user, wherein the number of vehicles having abnormal real-time monitoring data is displayed in the graphical user interface in a bar graph, a line graph, or a radar graph according to different vehicle types of the vehicles.

According to some embodiments of the present disclosure, when hovering at a location in the graphical user interface corresponding to a particular vehicle model using a mouse, detailed information of the particular vehicle model is to be displayed in a pop-up window, wherein the detailed information includes a number of vehicles in the particular vehicle model for which a real-time monitoring function is not activated, a number of vehicles for which a real-time monitoring function is activated, and a percentage of vehicles for which a real-time monitoring function is not activated.

According to some embodiments of the present disclosure, when hovering at a position corresponding to a particular vehicle type in the graphical user interface using a mouse, detailed information of the particular vehicle type is to be displayed in a pop-up window, wherein the detailed information includes a number of vehicles in the particular vehicle type from which real-time monitoring data was never received and a number of vehicles from which a certain period of time has elapsed since the last time real-time monitoring data was received.

According to some embodiments of the present disclosure, a download icon for downloading related information is also displayed in the pop-up window, and the method further includes downloading a file including related information of the specific vehicle type in response to clicking the download icon.

In accordance with some embodiments of the present disclosure, the method further includes creating a task for processing by a particular person of the automobile manufacturing company in response to determining that the percentage of vehicles having abnormal real-time monitoring data to the sold vehicles is greater than a threshold, wherein the task includes information about the vehicles having abnormal real-time monitoring data.

According to some embodiments of the present disclosure, pushing the report to a particular person of an automobile manufacturing company includes sending the report to the particular person via email.

According to some embodiments of the disclosure, the file is a spreadsheet file or comma separated value file.

According to some embodiments of the present disclosure, a computer system is provided. The computer system includes one or more processors and memory coupled with the one or more processors. The memory stores computer readable program instructions that, when executed by the one or more processors, perform the method as described above.

According to some embodiments of the present disclosure, a computer readable storage medium is provided, on which computer readable program instructions are stored, which instructions, when executed by a processor, perform a method as described above.

According to some embodiments of the present disclosure, a computer program product is provided comprising computer readable program instructions which, when executed by a processor, perform a method as described above.

Drawings

The foregoing and other objects, features and advantages of the disclosure will be apparent from the following more particular descriptions of exemplary embodiments of the disclosure as illustrated in the accompanying drawings wherein like reference numbers generally represent like parts throughout exemplary embodiments of the disclosure.

FIG. 1 illustrates a block diagram of an exemplary computer system/server 12 suitable for use in implementing embodiments of the present invention.

Fig. 2 illustrates a method for inspecting real-time monitoring data of a vehicle according to one embodiment of the present disclosure.

FIG. 3 illustrates a schematic diagram of a graphical user interface displaying data inspection results, according to one embodiment of the present disclosure.

FIG. 4 illustrates an example of a user interface displayed when a mouse pointer hovers over a portion of a particular vehicle model in a chart, according to an embodiment of the disclosure.

FIG. 5 illustrates a schematic diagram of a graphical user interface displaying data inspection results, according to one embodiment of the present disclosure.

Detailed Description

Preferred embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While the preferred embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

FIG. 1 illustrates a block diagram of an exemplary computer system/server 12 suitable for use in implementing embodiments of the present invention. The computer system/server 12 shown in FIG. 1 is intended as an example, and should not be taken as limiting the functionality and scope of use of embodiments of the present invention.

As shown in FIG. 1, computer system/server 12 is in the form of a general purpose computing device. Components of computer system/server 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, a bus 18 that connects the various system components, including the system memory 28 and the processing units 16.

The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 30 and/or cache memory 32. The computer system/server 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from or write to non-removable, nonvolatile magnetic media. Although not shown in fig. 1, a magnetic disk drive as well as an optical disk drive may also be provided. In such cases, each drive may be coupled to bus 18 through one or more data medium interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of embodiments of the invention.

A program/utility 40 having a set (at least one) of program modules 42 may be stored in, for example, memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 42 generally perform the functions and/or methods of the embodiments described herein.

The computer system/server 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), one or more devices that enable a user to interact with the computer system/server 12, and/or any devices (e.g., network card, modem, etc.) that enable the computer system/server 12 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 22. Also, the computer system/server 12 can communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet, through a network adapter 20. As shown, network adapter 20 communicates with other modules of computer system/server 12 via bus 18. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with computer system/server 12, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.

The inventors of the present invention found that it is generally impossible to find a situation in which the real-time monitoring function is not activated at an early stage of sales of the vehicle. This poses a threat to compliance since the real-time monitoring function will not be activated resulting in data gaps. For new energy automobiles to be sold, it is particularly important to establish an inspection scheme.

Furthermore, the inventors noted that there is occasionally a problem of data loss or data transmission that may be caused by a failure of the transmission control unit or a system defect. To help quickly identify where a problem is and respond, a real-time monitoring data inspection function is required at the back end of the real-time monitoring system.

With the methods presented herein below, all abnormal vehicle data can be monitored by a program and personnel can be scheduled to handle in time and abnormal RTM data transmissions or RTM data deletions can be found early for analytical resolution.

Based on the above findings, the inventors of the present invention have proposed a technical solution for checking real-time monitoring data of a vehicle to overcome at least one of the above technical drawbacks.

Referring now to fig. 2, fig. 2 illustrates a method 200 for inspecting real-time monitoring data of a vehicle according to one embodiment of the present disclosure. The method 200 may be performed, for example, by the computer system/server 12 described in fig. 1. The method 200 may also be performed by an enterprise-rented cloud service, such as a SaaS service. The method 200 may include a data receiving step 210, a data analyzing step 220, and a report generating step 230.

The method 200 begins with a data receiving step 210. In a data receiving step 210, real-time monitoring data is received from a sold vehicle and stored. The sold vehicle is able to upload real-time monitoring data of the vehicle to a database or data store maintained by the vehicle manufacturing company or a third party after activating the real-time monitoring function. Examples of real-time monitoring data may include, but are not limited to: real-time information such as vehicle speed, GPS position, engine speed, steering angle, brake pressure, accelerator opening, gear, etc. Further, examples of the real-time monitoring data may also include failure alarms for various components of the vehicle, etc., such as coolant temperature overheating alarms, tire pressure too low alarms, engine failure alarms, transmission failure alarms, etc. Because of the vast amount of vehicle information that needs to be monitored in real time, there is no exhaustive list of all vehicle information that needs to be monitored in real time. Those skilled in the art will appreciate that the real-time monitoring data described herein includes various vehicle information that may be monitored in real-time, both currently and in the future.

Referring back to fig. 2, in a data analysis step 220, the stored real-time monitoring data is periodically analyzed to determine the number of vehicles having abnormal real-time monitoring data.

According to one embodiment of the present disclosure, having anomalous real-time monitoring data may indicate one of: the real-time monitoring function of the vehicle is not activated or the data transmission from the vehicle is faulty. According to one embodiment of the present disclosure, a failure of data transmission from the vehicle may indicate at least one of the following: never receiving real-time monitoring data from the vehicle; a certain period of time has elapsed since the last time real-time monitoring data was received from the vehicle; and no real-time monitoring data is received from the vehicle after a certain number of consecutive logins.

According to one embodiment of the present disclosure, the method 200 may further include providing a graphical user interface to display the results of the analysis in response to a query request by a user. In one embodiment, the number of vehicles having abnormal real-time monitoring data may be displayed in the graphic user interface in a bar graph, a line graph, or a radar graph according to different vehicle types of the vehicles.

In one embodiment according to the present disclosure, determining the number of vehicles having abnormal real-time monitoring data may include determining the number of vehicles for which the real-time monitoring function is not activated. Since the real-time monitoring data cannot be received from the vehicle whose real-time monitoring function is not activated, the number of vehicles whose real-time monitoring function is not activated can be calculated using the vehicle sales data. For example, the number of vehicles for which the real-time monitoring function is not activated may be obtained by subtracting the number of vehicles for which the real-time monitoring function is activated from the number of vehicles that have been sold. According to one embodiment of the present disclosure, for the number of vehicles sold, only the number of vehicles sold for a certain period of time may be used, for example, the number of vehicles sold for more than two weeks may be used. So that no statistics are made on the normal situation that the vehicle has just been sold but has not been reached.

In another example, the number of vehicles for which the real-time monitoring function is not activated may be calculated separately for each vehicle type. FIG. 3 illustrates a schematic diagram of a graphical user interface displaying data inspection results, according to one embodiment of the present disclosure. The activation of the real-time monitoring function of the three vehicle models M1, M2, M3 is shown in the bar chart of fig. 3. The following table 1 gives the number of vehicles for which the real-time monitoring function of the three vehicle types is activated and not activated. In the bar chart of fig. 3, each bar represents a specific vehicle type, and the light portion of each bar represents the number of vehicles for which the real-time monitoring function is inactive and the dark portion represents the number of vehicles for which the real-time monitoring function is active.

TABLE 1

Vehicle model	Activation of	Not activated
			M1	3200	24
M2	1000	120
			M3	2280	39

According to the above-described embodiments of the present disclosure, when hovering at a position corresponding to a specific vehicle type in the graphical user interface using a mouse, detailed information of the specific vehicle type may be displayed in a pop-up window. In this embodiment, the detailed information may include the number of vehicles in which the real-time monitoring function is not activated, the number of vehicles in which the real-time monitoring function is activated, and the percentage of vehicles in which the real-time monitoring function is not activated in the specific vehicle type. FIG. 4 illustrates an example of a user interface displayed when a mouse pointer hovers over a portion of a particular vehicle model in a chart, according to an embodiment of the disclosure. As shown in fig. 4, when the mouse pointer hovers over the pillar representing the vehicle model M3 in the bar chart shown in fig. 3, a pop-up window appears in which the number of vehicles whose RTM function is activated for the vehicle model M3 is 2280 and the number of vehicles whose RTM function is not activated is 39, and the percentage of the vehicles whose RTM function is not activated is 1.68%.

According to one embodiment of the present disclosure, a download icon for downloading related information may also be displayed in the pop-up window. The method 200 may further include downloading a file including information related to the specific vehicle model in response to clicking the download icon. As shown in fig. 4, the download icon 41 is an example of an icon for download. According to one embodiment of the present disclosure, the downloaded file may be, for example, a spreadsheet file or comma separated value file.

In another embodiment according to the present disclosure, determining the number of vehicles having abnormal real-time monitoring data may include determining the number of vehicles from which real-time monitoring data has never been received and vehicles from which real-time monitoring data has been last received for a certain period of time.

FIG. 5 illustrates a schematic diagram of a graphical user interface displaying data inspection results, according to one embodiment of the present disclosure. The radar chart of fig. 5 shows the data transmission failure of five vehicle models M1, M2, M3, M4 and M5. Table 2 below gives the number of vehicles of these five vehicle types that have never uploaded the real-time monitoring data and the number of vehicles that have passed 3 months since the last time the real-time monitoring data was received. In the radar chart of fig. 5, each vertex of the pentagon represents one specific vehicle type, and the solid line closed graph is formed by sequentially connecting points representing the number of vehicles in each vehicle type from which the real-time monitoring data has not been uploaded, and the broken line closed graph is formed by sequentially connecting points representing the number of vehicles in each vehicle type from which the real-time monitoring data has been last received for 3 months.

TABLE 2

Vehicle model	Never upload	Not uploaded for 3 months
			M1	32	12
M2	32	12
			M3	28	12
M4	12	21
			M5	15	28

According to the above-described embodiments of the present disclosure, when hovering at a position corresponding to a specific vehicle type in the graphical user interface using a mouse, detailed information of the specific vehicle type may be displayed in a pop-up window. The detailed information may include the number of vehicles from which the real-time monitoring data has never been received and the number of vehicles from which the real-time monitoring data has been last received for a certain period of time in the specific vehicle model. Taking the radar chart of fig. 5 as an example, when the mouse pointer hovers over the axis corresponding to the vehicle model M4, the number of vehicles from which data has never been uploaded is displayed on the pop-up window is 12 and the number of vehicles from which real-time monitoring data has been last received for 3 months is 28. In the above example, 3 months are used as an example of the specific time period, and other specific time periods may be alternatively used.

In another embodiment according to the present disclosure, determining the number of vehicles having abnormal real-time monitoring data may include determining the number of vehicles that have not yet received real-time monitoring data from the vehicles after logging in a certain number of times in succession. In this embodiment, the specific number of times may be, for example, 10 times, or more or less than 10 times.

Referring back to fig. 2, in a report generation step 230, a report of the result of the analysis is generated and pushed to a specific person of the car manufacturing company, the report including the number of vehicles having abnormal real-time monitoring data. In one embodiment, pushing the report to a particular person of the automobile manufacturing company may include sending the report to the particular person by, for example, email. The email may include detailed information of the vehicle with abnormal real-time monitoring data as an attachment. The detailed information includes, for example, at least the frame number of each vehicle having abnormal real-time monitoring data, and may optionally include other information such as the model of the vehicle or the date of sale, etc. In another embodiment, the report may be pushed to a particular person of the automobile manufacturing company, for example, in the form of an application message or a short message.

According to one embodiment of the present disclosure, the data analysis step 220 and the report generation step 230 may be performed periodically. In one example, the data analysis step 220 may be performed at zero points on monday, wednesday, friday of the week to obtain information including at least vehicles with anomalous real-time monitoring data, and the report generation step 230 may be performed at 7 am on the current day to send mail or messages to specific personnel of the automobile manufacturing company to push the generated report. Similar to the file downloaded by clicking the download icon in the above example, the attachment of the email may be, for example, a spreadsheet file or comma separated value file.

In accordance with one embodiment of the present disclosure, the method 200 may further include creating a task to be processed by a particular person of the automobile manufacturing company in response to determining that the percentage of vehicles having abnormal real-time monitoring data to the sold vehicles is greater than a threshold. The task may include information about the vehicle with abnormal real-time monitoring data. The related information includes, for example, at least the frame number of each vehicle having abnormal real-time monitoring data, and may optionally include other information such as the model of the vehicle or the date of sale, etc.

In one example, the task is created in response to a number of vehicles in a particular model that have never been uploaded with real-time monitoring data being greater than 10% of the vehicles sold. In another example, the task is created in response to a sum of a number of vehicles in a particular vehicle model that have never been uploading real-time monitoring data and a number of vehicles that have been over a particular period of time since the last time the real-time monitoring data was received from being greater than 15% of the vehicles that have been sold. In another example, the task is created in response to a number of vehicles in a particular model from which real-time monitoring data has not been received after a particular number of consecutive logins being greater than 10% of the vehicles sold. The above examples are given for ease of illustration only, and other conceivable numbers of checked vehicles and setting other thresholds may also be used.

The tasks are handled by specific personnel of the system automatically creating and designating the automobile manufacturing business or third party based on the data inspection.

By adopting the technical scheme of the present disclosure, real-time monitoring data of a large number of vehicles can be automatically checked, and manpower waste due to manual inspection is avoided. The invention avoids data errors during business operation, and all abnormal vehicle data can be monitored through the program and can be processed in time by staff. Furthermore, the present invention avoids violating government regulations for RTM, as abnormal RTM data transmissions or RTM data deletions can be discovered and resolved early. The invention also avoids authority accountability when a problem occurs with the client vehicle.

The present invention may be a system, method, and/or computer program product. The computer program product may include a computer readable storage medium having computer readable program instructions embodied thereon for causing a processor to implement aspects of the present invention.

According to one embodiment of the present disclosure, a computer system is provided that includes one or more processors and a memory coupled with the one or more processors. The memory stores computer-readable program instructions that, when executed by the one or more processors, perform: receiving real-time monitoring data from a sold vehicle and storing the data; periodically analyzing the stored real-time monitoring data to determine the number of vehicles having abnormal real-time monitoring data; and generating a report of the results of the analysis and pushing the report to a specific person of the automobile manufacturing company, the report including the number of vehicles having abnormal real-time monitoring data.

According to another embodiment of the present invention, there is provided a computer readable storage medium having stored thereon computer readable program instructions which, when executed by a processor, perform: receiving real-time monitoring data from a sold vehicle and storing the data; periodically analyzing the stored real-time monitoring data to determine the number of vehicles having abnormal real-time monitoring data; and generating a report of the results of the analysis and pushing the report to a specific person of the automobile manufacturing company, the report including the number of vehicles having abnormal real-time monitoring data.

According to another embodiment of the present invention, there is provided a computer program product comprising computer readable program instructions which, when executed by a processor, perform: receiving real-time monitoring data from a sold vehicle and storing the data; periodically analyzing the stored real-time monitoring data to determine the number of vehicles having abnormal real-time monitoring data; and generating a report of the results of the analysis and pushing the report to a specific person of the automobile manufacturing company, the report including the number of vehicles having abnormal real-time monitoring data.

The computer readable storage medium may be a tangible device that can hold and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: portable computer disks, hard disks, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static Random Access Memory (SRAM), portable compact disk read-only memory (CD-ROM), digital Versatile Disks (DVD), memory sticks, floppy disks, mechanical coding devices, punch cards or in-groove structures such as punch cards or grooves having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media, as used herein, are not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., optical pulses through fiber optic cables), or electrical signals transmitted through wires.

The computer readable program instructions described herein may be downloaded from a computer readable storage medium to a respective computing/processing device or to an external computer or external storage device over a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers and/or edge servers. The network interface card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium in the respective computing/processing device.

Computer program instructions for carrying out operations of the present invention may be assembly instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, c++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions may be executed entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present invention are implemented by personalizing electronic circuitry, such as programmable logic circuitry, field Programmable Gate Arrays (FPGAs), or Programmable Logic Arrays (PLAs), with state information for computer readable program instructions, which can execute the computer readable program instructions.

Various aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.

These computer readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable medium having the instructions stored therein includes an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.

The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The foregoing description of embodiments of the invention has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the technical improvement of the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A method for inspecting real-time surveillance data of a vehicle, comprising:

receiving real-time monitoring data from a sold vehicle and storing the data;

periodically analyzing the stored real-time monitoring data to determine the number of vehicles having abnormal real-time monitoring data; and

a report of the results of the analysis is generated and pushed to specific personnel of the automobile manufacturing enterprise, the report including the number of vehicles with abnormal real-time monitoring data.

2. The method of claim 1, wherein having anomalous real-time monitoring data indicates one of:

the real-time monitoring function of the vehicle is not activated;

data transmission from the vehicle is faulty.

3. The method of claim 2, wherein a data transmission from the vehicle is faulty indicating at least one of:

never receiving real-time monitoring data from the vehicle;

a certain period of time has elapsed since the last time real-time monitoring data was received from the vehicle; and

real-time monitoring data is not yet received from the vehicle after a certain number of consecutive logins.

4. The method of claim 3, further comprising providing a graphical user interface to display the results of the analysis in response to a query request by a user, wherein the number of vehicles having abnormal real-time monitoring data is displayed in the graphical user interface in a bar graph, a line graph, or a radar graph according to different vehicle types of the vehicles.

5. The method of claim 4, wherein when hovering using a mouse at a location in the graphical user interface corresponding to a particular vehicle model, detailed information for the particular vehicle model is to be displayed in a pop-up window, wherein the detailed information includes a number of vehicles in the particular vehicle model for which the real-time monitoring function is not activated, a number of vehicles for which the real-time monitoring function is activated, and a percentage of vehicles for which the real-time monitoring function is not activated.

6. The method of claim 4, wherein when hovering using a mouse at a location in the graphical user interface corresponding to a particular vehicle model, detailed information for the particular vehicle model is to be displayed in a pop-up window, wherein the detailed information includes a number of vehicles in the particular vehicle model from which real-time monitoring data was never received and a number of vehicles from which a particular length of time has elapsed since the last time real-time monitoring data was received.

7. The method according to claim 5 or 6, wherein a download icon for downloading related information is also displayed in the pop-up window, the method further comprising downloading a file including related information of the specific vehicle type in response to clicking the download icon.

8. The method of claim 1, further comprising:

responsive to determining that the percentage of vehicles with abnormal real-time monitoring data to the sold vehicles is greater than a threshold, create a task for processing by a particular person of the automobile manufacturing company,

wherein the task includes information about the vehicle having abnormal real-time monitoring data.

9. The method of claim 1, pushing the report to a particular person of an automobile manufacturing enterprise comprising sending the report to the particular person via email.

10. The method of claim 7, wherein the file is a spreadsheet file or comma separated value file.

11. A computer system, comprising:

one or more processors; and

a memory coupled to the one or more processors, the memory storing computer-readable program instructions that, when executed by the one or more processors, perform the method of any of claims 1-10.

12. A computer readable storage medium having stored thereon computer readable program instructions which, when executed by a processor, perform the method of any of claims 1-10.

13. A computer program product comprising computer readable program instructions which, when executed by a processor, perform the method of any of claims 1-10.