CN115914036A - Data verification method, device, storage medium and equipment of automobile internet of things - Google Patents

Abstract

The invention discloses a method, a device, a storage medium and equipment for verifying data of the Internet of Things of an automobile. Wherein, the method includes: receiving the current running state data of the target vehicle, and obtaining the historical running state data of the target vehicle; performing median filtering processing on the above historical running state data to determine sample running state data; combining the above current running state data and The above-mentioned sample running status data is compared and processed to determine the comparison result; data verification is completed based on the above-mentioned comparison result. The invention solves the technical problem that the data verification method of the automobile Internet of things in the prior art cannot distinguish data mixed frames caused by reasons such as network anomalies and manual settings by the car owner.

Description

Data verification method, device, storage medium and equipment of automobile internet of things

technical field

The present invention relates to the technical field of data processing, in particular, to a data verification method, device, storage medium and equipment of the Internet of Vehicles.

Background technique

The concept of the Internet of Vehicles originates from the Internet of Things, that is, the Internet of Vehicles. It takes the moving vehicle as the object of information perception, and uses the new generation of information and communication technology to realize the network connection between the vehicle and the X service platform to improve the overall intelligent driving of the vehicle. To provide users with safe, comfortable, intelligent and efficient driving experience and traffic services, while improving the efficiency of traffic operation and improving the intelligence level of social traffic services. Through the Internet of Vehicles, uploading vehicle operating status data, service providers can provide users with a series of functions such as remote vehicle control and driving behavior analysis. The realization of these functions depends on the accuracy of vehicle uploaded data.

The vehicle establishes a connection with the cloud platform through the Internet of Things, and uploads the vehicle operating status data at a fixed cycle or set conditions; when establishing a link with the cloud platform, each vehicle has a unique device number to distinguish the vehicle. Since the number of vehicles connected at the same time can reach 100,000 or 1 million, data mix-up occurs in some scenarios. The reasons for mixed frames include network pressure, etc. Mixed frames lead to confusion of data reported by two or more networked vehicles, which cannot be recovered in an effective way. For the mixed frame problem, the current processing method is to compare two adjacent frames of data, and the data with a large difference is regarded as abnormal data; this can solve part of the mixed frame problem, but it cannot be distinguished due to network abnormalities, car owner settings, etc. Mixed frames, once handled incorrectly, will cause additional quality problems.

For the above problems, no effective solution has been proposed yet.

Contents of the invention

The embodiment of the present invention provides a data verification method, device, storage medium and equipment of the Internet of Vehicles, to at least solve the problem that the verification method of the Internet of Things data in the prior art cannot be distinguished due to network abnormalities, manual settings by the car owner, etc. The technical problem of data mixing frame.

According to an aspect of the embodiment of the present invention, there is provided a data verification method for the Internet of Vehicles, including: receiving the current running status data of the target vehicle, and acquiring the historical running status data of the target vehicle; Value filtering processing to determine the sample operation status data; compare the above-mentioned current operation status data with the above-mentioned sample operation status data to determine the comparison result; complete data verification based on the above comparison result.

Optionally, receiving the current running state data of the target vehicle and acquiring the historical running state data of the target vehicle include: receiving initial running state data within a first preset time period, and generating a first time stamp to obtain the above current Running state data; storing the above-mentioned current running state data in a database; obtaining the above-mentioned historical running state data from the above-mentioned database, wherein the above-mentioned historical running state data corresponds to a second time stamp, and the time length of the above-mentioned historical running state data is the above-mentioned first a preset time period.

Optionally, performing median filter processing on the above-mentioned historical running state data to determine the sample running state data includes: determining the driving data in the above-mentioned historical running state data, wherein the above-mentioned driving data includes at least: mileage data, longitude and latitude data; Calculate the median of the above-mentioned driving data, and determine the above-mentioned sample running state data.

Optionally, before the above-mentioned comparison processing of the above-mentioned current running state data and the above-mentioned sample running state data to determine the comparison result, the above-mentioned method further includes: calculating the time difference between the above-mentioned first time stamp and the above-mentioned second time stamp ;Determine whether the above-mentioned time difference is greater than the preset time threshold; if the above-mentioned time difference is greater than the above-mentioned preset time threshold, compare the above-mentioned current running state data with the above-mentioned sample running state data; if the above-mentioned time difference is less than the above-mentioned If the time threshold is preset, it is determined that the above-mentioned current running state data is invalid data.

Optionally, the above-mentioned comparison processing of the above-mentioned current running state data and the above-mentioned sample running state data, and determining the comparison result include: calculating the data difference between the above-mentioned current running state data and the above-mentioned sample running state data; judging the above-mentioned data difference Whether the value is greater than the preset data threshold; if the above-mentioned data difference is greater than the above-mentioned preset data threshold, it is determined that the above-mentioned current operation status data is abnormal; if the above-mentioned data difference is smaller than the above-mentioned preset data threshold, then it is determined that the above-mentioned current operation status data is the target Operating status data.

Optionally, after comparing the above-mentioned current running state data with the above-mentioned sample running state data and determining the comparison result, the above method further includes: if it is determined that the above-mentioned current running state data is abnormal, then using the above-mentioned historical running state data as the above-mentioned target running state data, and store the above-mentioned historical running state data in the above-mentioned database; if it is determined that the above-mentioned current running state data is the above-mentioned target running state data, then store the above-mentioned current running state data in the above-mentioned database.

According to another aspect of the embodiments of the present invention, there is also provided a vehicle Internet of Things data verification device, including: a receiving module, used to receive the current running state data of the target vehicle, and obtain the historical running state data of the target vehicle; A module for performing median filter processing on the above-mentioned historical running state data to determine the sample running state data; a comparison module for comparing the above-mentioned current running state data with the above-mentioned sample running state data to determine the comparison result; A verification module, configured to complete data verification based on the comparison result.

According to another aspect of the embodiments of the present invention, a non-volatile storage medium is also provided. The above-mentioned non-volatile storage medium stores a plurality of instructions, and the above-mentioned instructions are suitable for being loaded by a processor and executing any one of the above-mentioned Vehicle Internet of Things data verification method.

According to another aspect of the embodiments of the present invention, there is also provided a processor, the above-mentioned processor is used to run a program, wherein the above-mentioned program is configured to execute any one of the above-mentioned automotive Internet of Things data verification methods when running.

According to another aspect of the embodiments of the present invention, there is also provided an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute any one of the above-mentioned automobile IoT data verification method.

In the embodiment of the present invention, by receiving the current running state data of the target vehicle, and obtaining the historical running state data of the target vehicle; performing median filtering processing on the above historical running state data, determining the sample running state data; The data is compared with the above-mentioned sample running status data to determine the comparison result; the data verification is completed based on the above-mentioned comparison results, which achieves the purpose of reducing data quality problems caused by mixed frames, thereby realizing real-time monitoring without affecting data. Under the premise of reliability, the technical effect of ensuring the accuracy of continuous monitoring data, and then solving the technical problem that the automotive Internet of Things data verification method in the prior art cannot distinguish data mixed frames caused by network anomalies, car owner settings, etc.

Description of drawings

The accompanying drawings described here are used to provide a further understanding of the present invention and constitute a part of the application. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations to the present invention. In the attached picture:

Fig. 1 is a flow chart of a method for verifying data of the Internet of Vehicles according to an embodiment of the present invention;

Fig. 2 is a schematic flow chart of an optional data verification method according to an embodiment of the present invention;

Fig. 3 is a schematic structural diagram of a device for verifying data of the Internet of Vehicles according to an embodiment of the present invention;

Fig. 4 is a schematic structural diagram of an optional electronic device according to an embodiment of the present invention.

Detailed ways

In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having", as well as any variations thereof, are intended to cover a non-exclusive inclusion, for example, a process, method, system, product or device comprising a sequence of steps or elements is not necessarily limited to the expressly listed instead, may include other steps or elements not explicitly listed or inherent to the process, method, product or apparatus.

Example 1

According to an embodiment of the present invention, an embodiment of a data verification method for the Internet of Vehicles is provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions , and, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

Fig. 1 is a flow chart of a method for verifying data of the Internet of Things in an automobile according to an embodiment of the present invention. As shown in Fig. 1, the method includes the following steps:

Step S102, receiving the current running state data of the target vehicle, and acquiring the historical running state data of the target vehicle;

Step S104, performing median filtering processing on the above-mentioned historical operating state data to determine the sample operating state data;

Step S106, comparing the above-mentioned current running state data with the above-mentioned sample running state data, and determining the comparison result;

In step S108, data verification is completed based on the comparison result.

In the embodiment of the present invention, the vehicle Internet of Things data verification method provided in the above steps S102 to S108 is executed by the Vehicle Internet of Things data verification system, which uses the above-mentioned system to receive the current operating status data of the target vehicle and simultaneously obtains the data of the target vehicle and perform median filtering on the above historical operating state data to determine the sample operating state data; compare the above current operating state data with the above sample operating state data to determine the comparison result; based on the above comparison Data validation is done on the results.

As an optional embodiment, as shown in the flow diagram of the data verification method shown in Figure 2, in the power-on state of the vehicle, the connection between the vehicle communication terminal and the vehicle remote service provider (TSP) can be established in a specific cycle or a specific trigger The event (ignition, flameout) uploads the vehicle running status data; when the TSP receives the data reported by the vehicle, it simultaneously obtains the historical running status data of the target vehicle; calculates the median of the cached historical data to indicate the vehicle status; and compares the latest data with the calculated Compared with the vehicle state, first judge whether the time difference between the time of the current vehicle condition and the historical data exceeds a certain time threshold, and finally judge the validity of the data, compare the latest data with the calculated vehicle state, compare the data deviation value, and the deviation exceeds the threshold. It is regarded as abnormal data, the data is discarded and not applied in the next step, and the last valid vehicle condition is used instead, otherwise the vehicle condition is updated normally.

It should be noted that the vehicle historical state can choose signals with a large value range and obvious changes, such as the total mileage of the vehicle, vehicle latitude and longitude information, etc.; the time threshold can be 5 minutes, and setting the time threshold can avoid scenarios such as network, vehicle power-off, etc. Failure to report the following data leads to processing errors; the setting of the data deviation threshold can be calculated according to the actual data situation, for example: the mileage threshold can be 100km, and the latitude and longitude threshold can be 1°.

Through the embodiments of the present invention, data quality problems caused by mixed frames can be effectively reduced, and various abnormal scenes can be handled. Moreover, the method provided by the present invention is simple, requires less computing resources for data verification and repair, and continuously monitors the accuracy of data without affecting the real-time performance of data, and repairs erroneous data, and the algorithm has high robustness .

In an optional embodiment, the receiving the current running state data of the target vehicle and acquiring the historical running state data of the target vehicle include: receiving initial running state data within a first preset time period, and generating a first Timestamp, to obtain the above-mentioned current operation state data; store the above-mentioned current operation state data in the database; obtain the above-mentioned historical operation state data from the above-mentioned database, wherein the above-mentioned historical operation state data corresponds to a second time stamp, and the above-mentioned historical operation state data The length of time is the above-mentioned first preset time period.

In the embodiment of the present invention, when the latest vehicle data is received, the above-mentioned first time stamp is generated for the data, and the above-mentioned latest vehicle data is the running status data within the first preset time period; historical running data can be selected from 1min or 11 data , you can also select the historical data within the first preset time length, and record and report the time stamp of each piece of data. The amount of cached data can be determined according to the actual data and computing performance.

In an optional embodiment, performing median filter processing on the above-mentioned historical running state data to determine the sample running state data includes: determining the driving data in the above-mentioned historical running state data, wherein the above-mentioned driving data includes at least: Mileage data, latitude and longitude data; calculate the median of the above-mentioned driving data, and determine the above-mentioned sample running status data.

In the embodiment of the present invention, when calculating the historical state of the vehicle, a signal with a large value range and obvious changes is selected, such as the total mileage of the vehicle and the latitude and longitude information of the vehicle, and the median of the cached historical data is calculated to represent the vehicle state.

It should be noted. The median is the 50% quantile value of the data; the reason for selecting signals such as the total mileage of the signal is that when mixed frames occur, the mileage information of the vehicle is quite different, and there is a significant change compared with the normal signal, which can be obtained by median filtering stable data.

In an optional embodiment, before the above-mentioned comparison processing of the above-mentioned current running state data and the above-mentioned sample running state data and determining the comparison result, the above-mentioned method further includes: calculating the above-mentioned first time stamp and the above-mentioned second time stamp The time difference value of the timestamp; determine whether the above-mentioned time difference is greater than the preset time threshold; if the above-mentioned time difference is greater than the above-mentioned preset time threshold, compare the above-mentioned current operation status data with the above-mentioned sample operation status data; if If the above-mentioned time difference is smaller than the above-mentioned preset time threshold, it is determined that the above-mentioned current running state data is invalid data.

In the embodiment of the present invention, 4. When the latest data is compared with the calculated vehicle state, it is first judged whether the difference between the time of the current vehicle condition and the time deviation of the historical data exceeds a certain time threshold, and if it exceeds a preset time threshold, it is considered to be a valid vehicle condition , otherwise it is an invalid vehicle condition; the time threshold can be set to 5 minutes. The significance of judging the time threshold is to avoid processing errors caused by unreported data in scenarios such as network and vehicle power-off.

In an optional embodiment, the above-mentioned comparison processing of the above-mentioned current running state data and the above-mentioned sample running state data, and determining the comparison result include: calculating the data difference between the above-mentioned current running state data and the above-mentioned sample running state data value; determine whether the above-mentioned data difference is greater than the preset data threshold; if the above-mentioned data difference is greater than the above-mentioned preset data threshold, it is determined that the above-mentioned current operating state data is abnormal; if the above-mentioned data difference is smaller than the above-mentioned preset data threshold, then determine the above-mentioned The current running state data is the target running state data.

In the embodiment of the present invention, when judging the validity of the data, the latest data is compared with the calculated vehicle state to compare the data deviation value. If the deviation exceeds the threshold, it is regarded as abnormal data, and the data is discarded without further application, and the previous one is used. Effective vehicle status is replaced, otherwise the vehicle status is updated normally.

It should be noted that the threshold is set based on actual data statistics. Generally, the mileage threshold can be 100km, and the latitude and longitude threshold can be 1°.

In an optional embodiment, after comparing the above-mentioned current running state data with the above-mentioned sample running state data and determining the comparison result, the above method further includes: if it is determined that the above-mentioned current running state data is abnormal, then The above-mentioned historical operation state data is used as the above-mentioned target operation state data, and the above-mentioned historical operation state data is stored in the above-mentioned database; if the above-mentioned current operation state data is determined to be the above-mentioned target operation state data, the above-mentioned current operation state data is stored in the above-mentioned in the database.

In the embodiment of the present invention, by receiving the current running state data of the target vehicle, and obtaining the historical running state data of the target vehicle; performing median filtering processing on the above historical running state data, determining the sample running state data; The data is compared with the above-mentioned sample running status data to determine the comparison result; the data verification is completed based on the above-mentioned comparison results, which achieves the purpose of reducing data quality problems caused by mixed frames, thereby realizing real-time monitoring without affecting data. Under the premise of reliability, the technical effect of ensuring the accuracy of continuous monitoring data, and then solving the technical problem that the automotive Internet of Things data verification method in the prior art cannot distinguish data mixed frames caused by network anomalies, car owner settings, etc.

Example 2

According to an embodiment of the present invention, an embodiment of a device for implementing the above-mentioned method for verifying data of the Internet of Vehicles is also provided. FIG. 3 is a schematic structural diagram of a device for verifying data of the Internet of Vehicles according to an embodiment of the present invention. , as shown in FIG. 3 , the above-mentioned device for vehicle Internet of Things data verification includes: a receiving module 30, a processing module 32, a comparison module 34 and a verification module 36, wherein:

The receiving module 30 is used to receive the current running state data of the target vehicle, and obtain the historical running state data of the target vehicle;

A processing module 32, configured to perform median filtering processing on the above-mentioned historical operating state data to determine sample operating state data;

A comparison module 34, configured to compare the above-mentioned current running state data with the above-mentioned sample running state data, and determine the comparison result;

A verification module 36, configured to complete data verification based on the comparison result. It should be noted that each of the above-mentioned modules can be realized by software or hardware. For example, for the latter, it can be realized in the following manner: each of the above-mentioned modules can be located in the same processor; or, each of the above-mentioned modules can be implemented in any combination on a different processor.

What needs to be explained here is that the above-mentioned method of automotive Internet of Things data verification corresponds to Step S102 to Step S108 in Embodiment 1, and the examples and application scenarios realized by the above-mentioned modules and corresponding steps are the same, but are not limited to the above-mentioned embodiment 1 What is published. It should be noted that, as a part of the device, the above modules can run in the computer terminal.

It should be noted that, for optional or preferred implementation manners of this embodiment, reference may be made to relevant descriptions in Embodiment 1, and details are not repeated here.

The above-mentioned device for verifying the data of the Internet of Vehicles can also include a processor and a memory, and the devices for verifying the data of the Internet of Things for the above-mentioned automobiles are all stored in the memory as program elements, and the processor executes the above-mentioned program elements stored in the memory to achieve realize the corresponding function.

The processor includes a kernel, and the kernel fetches corresponding program units from the memory, and one or more kernels can be provided. Memory may include non-permanent memory in computer-readable media, in the form of random access memory (RAM) and/or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM), memory including at least one memory chip.

According to an embodiment of the present application, an embodiment of a computer-readable storage medium is also provided. Optionally, in this embodiment, the above-mentioned computer-readable storage medium includes a stored program, wherein, when the above-mentioned program is running, the device where the above-mentioned computer-readable storage medium is located is controlled to perform any one of the above-mentioned methods for verifying data of the Internet of Things in vehicles .

Optionally, in this embodiment, the above-mentioned computer-readable storage medium may be located in any computer terminal in the computer terminal group in the computer network, or in any mobile terminal in the mobile terminal group, and the above-mentioned computer-readable storage medium The media includes stored programs.

Optionally, when the program is running, the device where the computer-readable storage medium is located is controlled to perform the following functions: receive the current running state data of the target vehicle, and obtain the historical running state data of the target vehicle; perform median filtering processing on the above historical running state data , determine the sample running status data; compare the above-mentioned current running status data with the above-mentioned sample running status data, and determine the comparison result; complete the data verification based on the above comparison result.

Optionally, when the program is running, the device where the computer-readable storage medium is located is controlled to perform the following functions: receive initial running state data within a first preset time period, and generate a first time stamp to obtain the above-mentioned current running state data; The current running state data is stored in a database; the historical running state data is obtained from the database, wherein the historical running state data corresponds to a second time stamp, and the time length of the historical running state data is the first preset time period.

Optionally, when the program is running, the device where the computer-readable storage medium is located is controlled to perform the following functions: determine the driving data in the above-mentioned historical running state data, wherein the above-mentioned driving data at least includes: mileage data, latitude and longitude data; Median, to determine the above sample run state data.

Optionally, when the program is running, the device where the computer-readable storage medium is located is controlled to perform the following functions: calculate the time difference between the above-mentioned first time stamp and the above-mentioned second time stamp; determine whether the above-mentioned time difference is greater than a preset time threshold; if If the above-mentioned time difference is greater than the above-mentioned preset time threshold, then compare the above-mentioned current running state data with the above-mentioned sample running state data; if the above-mentioned time difference is smaller than the above-mentioned preset time threshold, then determine that the above-mentioned current running state data is invalid data.

Optionally, when the program is running, the device where the computer-readable storage medium is located is controlled to perform the following functions: calculate the data difference between the above-mentioned current running state data and the above-mentioned sample running state data; determine whether the above-mentioned data difference is greater than a preset data threshold; if If the data difference is greater than the preset data threshold, it is determined that the current operating state data is abnormal; if the data difference is smaller than the preset data threshold, it is determined that the current operating state data is the target operating state data.

Optionally, when the program is running, the device where the computer-readable storage medium is located is controlled to perform the following functions: if it is determined that the above-mentioned current running state data is abnormal, the above-mentioned historical running state data is used as the above-mentioned target running state data, and the above-mentioned historical running state data is storing in the above database; if it is determined that the above-mentioned current running state data is the above-mentioned target running state data, then storing the above-mentioned current running state data in the above-mentioned database.

According to an embodiment of the present application, an embodiment of a processor is also provided. Optionally, in this embodiment, the above-mentioned processor is configured to run a program, wherein, when the above-mentioned program is running, any one of the above-mentioned methods for verifying the data of the Internet of Things in the vehicle is executed.

Optionally, when the program is running, the device where the processor is located is controlled to perform the following functions: receive the current running state data of the target vehicle, and obtain the historical running state data of the target vehicle; perform median filtering processing on the above historical running state data, and determine the sample Operation status data; compare the above-mentioned current operation status data with the above-mentioned sample operation status data, and determine the comparison result; complete data verification based on the above comparison result.

Optionally, when the program is running, the device where the processor is located is controlled to perform the following functions: receive initial running state data within a first preset time period, and generate a first time stamp to obtain the above-mentioned current running state data; convert the above-mentioned current running state data to The data is stored in a database; the historical operating state data is obtained from the database, wherein the historical operating state data corresponds to a second time stamp, and the time length of the historical operating state data is the first preset time period.

Optionally, when the program is running, the device where the processor is located is controlled to perform the following functions: determine the driving data in the above-mentioned historical running state data, wherein the above-mentioned driving data includes at least: mileage data, latitude and longitude data; calculate the median of the above-mentioned driving data , to determine the above sample running status data.

Optionally, the device where the processor is located is controlled to perform the following functions when the program is running: calculating the time difference between the above-mentioned first time stamp and the above-mentioned second time stamp; judging whether the above-mentioned time difference is greater than a preset time threshold; if the above-mentioned time difference If the value is greater than the preset time threshold, compare the current running status data with the sample running status data; if the time difference is smaller than the preset time threshold, determine that the current running status data is invalid data.

Optionally, when the program is running, the device where the processor is located is controlled to perform the following functions: calculate the data difference between the above-mentioned current running state data and the above-mentioned sample running state data; judge whether the above-mentioned data difference is greater than a preset data threshold; if the above-mentioned data difference If the value is greater than the preset data threshold, it is determined that the current running state data is abnormal; if the above data difference is smaller than the preset data threshold, then it is determined that the current running state data is the target running state data.

Optionally, when the program is running, the device where the processor is located is controlled to perform the following functions: if it is determined that the above-mentioned current running state data is abnormal, the above-mentioned historical running state data is used as the above-mentioned target running state data, and the above-mentioned historical running state data is stored in the above-mentioned In the database; if it is determined that the above-mentioned current running state data is the above-mentioned target running state data, then storing the above-mentioned current running state data in the above-mentioned database.

According to an embodiment of the present application, an embodiment of an electronic device is also provided, including a memory and a processor, the memory stores a computer program, and the processor is configured to run the computer program to execute any one of the above-mentioned vehicle objects. Network data verification method.

As shown in FIG. 4 , an embodiment of the present application provides an electronic device. The electronic device 10 includes a processor, a memory, and a program stored on the memory and operable on the processor. When the processor executes the program, the following steps are implemented: receiving The current operating state data of the target vehicle, and the acquisition of historical operating state data of the target vehicle; performing median filter processing on the above historical operating state data to determine the sample operating state data; comparing the above current operating state data with the above sample operating state data For processing, determine the comparison result; complete data verification based on the above comparison result.

The present application also provides a computer program product, which, when executed on the vehicle Internet of Things data verification device, is suitable for executing a program initialized with the following method steps: receiving the current operating status data of the target vehicle, and obtaining the history of the target vehicle Running status data; perform median filter processing on the above historical running status data to determine the sample running status data; compare the above current running status data with the above sample running status data to determine the comparison result; complete the comparison based on the above comparison results Data validation.

The present application also provides a computer program product, which, when executed on the vehicle Internet of Things data verification device, is suitable for executing a program that is initialized with the following method steps: receiving initial operating state data within a first preset time period, and generating the first time stamp to obtain the above-mentioned current running state data; storing the above-mentioned current running state data in a database; obtaining the above-mentioned historical running state data from the above-mentioned database, wherein the above-mentioned historical running state data corresponds to a second time stamp, and the above-mentioned historical The time length of the running state data is the above-mentioned first preset time period.

The present application also provides a computer program product, which, when executed on the vehicle Internet of Things data verification device, is suitable for executing a program with the following method steps for initialization: determining the driving data in the above-mentioned historical running state data, wherein the above-mentioned driving The data at least includes: mileage data, latitude and longitude data; calculating the median of the above driving data, and determining the above sample running status data.

The present application also provides a computer program product, which, when executed on the vehicle Internet of Things data verification device, is suitable for executing a program initialized with the following method steps: calculating the time difference between the above-mentioned first time stamp and the above-mentioned second time stamp value; determine whether the above-mentioned time difference is greater than the preset time threshold; if the above-mentioned time difference is greater than the above-mentioned preset time threshold, compare the above-mentioned current running status data with the above-mentioned sample running status data; if the above-mentioned time difference is less than If the above-mentioned preset time threshold is used, it is determined that the above-mentioned current running state data is invalid data.

The present application also provides a computer program product, which, when executed on the vehicle Internet of Things data verification device, is suitable for executing a program that is initialized with the following method steps: calculating the data difference between the above-mentioned current running state data and the above-mentioned sample running state data value; determine whether the above-mentioned data difference is greater than the preset data threshold; if the above-mentioned data difference is greater than the above-mentioned preset data threshold, it is determined that the above-mentioned current operating state data is abnormal; if the above-mentioned data difference is smaller than the above-mentioned preset data threshold, then determine the above-mentioned The current running state data is the target running state data.

The present application also provides a computer program product, which, when executed on the vehicle Internet of Things data verification device, is suitable for executing a program whose initialization has the following method steps: if it is determined that the above-mentioned current running state data is abnormal, then adopt the above-mentioned historical running state data as the target operating state data, and store the historical operating state data in the database; if the current operating state data is determined to be the target operating state data, store the current operating state data in the database.

Those skilled in the art should understand that the embodiments of the present application may be provided as methods, systems, or computer program products. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present application is described with reference to flowcharts and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present application. It should be understood that each procedure and/or block in the flowchart and/or block diagram, and a combination of procedures and/or blocks in the flowchart and/or block diagram can be realized by computer program instructions. These computer program instructions may be provided to a processor of a general-purpose computer, a special purpose computer, an embedded processor, or other programmable automotive IoT data verification device to produce a machine such that the computer or other programmable automotive Internet of Things data verification device The instructions executed by the processor generate means for realizing the functions specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable automotive IoT data verification device to operate in a specific manner, such that the instructions stored in the computer-readable memory produce a manufacturing process comprising instruction means. product, the instruction device realizes the functions specified in one or more procedures of the flow chart and/or one or more blocks of the block diagram.

These computer program instructions may also be loaded onto a computer or other programmable automotive IoT data verification device, so that a series of operational steps are performed on the computer or other programmable device to produce a computer-implemented process, whereby the computer or other programmable The instructions executed on the device provide steps for realizing the functions specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

Memory may include non-permanent storage in computer readable media, in the form of random access memory (RAM) and/or nonvolatile memory such as read only memory (ROM) or flash RAM. The memory is an example of a computer readable medium.

Computer-readable media, including both permanent and non-permanent, removable and non-removable media, can be implemented by any method or technology for storage of information. Information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory (ROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Flash memory or other memory technology, Compact Disc Read-Only Memory (CD-ROM), Digital Versatile Disc (DVD) or other optical storage, Magnetic tape cartridge, tape magnetic disk storage or other magnetic storage device or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media excludes transitory computer-readable media, such as modulated data signals and carrier waves.

It should also be noted that the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes Other elements not expressly listed, or elements inherent in the process, method, commodity, or apparatus are also included. Without further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of additional identical elements in the process, method, article, or apparatus that includes the element.

Those skilled in the art should understand that the embodiments of the present application may be provided as methods, systems or computer program products. Accordingly, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The above are only examples of the present application, and are not intended to limit the present application. For those skilled in the art, various modifications and changes may occur in this application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims (10)

1. A data verification method for an automobile Internet of things is characterized by comprising the following steps:

receiving current running state data of a target vehicle and acquiring historical running state data of the target vehicle;

performing median filtering processing on the historical running state data to determine sample running state data;

comparing the current running state data with the sample running state data to determine a comparison result;

and finishing data verification based on the comparison result.

2. The method of claim 1, wherein the receiving current operating state data of the target vehicle and obtaining historical operating state data of the target vehicle comprises:

receiving initial running state data in a first preset time period, and generating a first timestamp to obtain the current running state data;

storing the current operating state data into a database;

and acquiring the historical running state data from the database, wherein the historical running state data corresponds to a second timestamp, and the time length of the historical running state data is the first preset time period.

3. The method of claim 1, wherein the median filtering the historical operating condition data to determine sample operating condition data comprises:

determining driving data in the historical operating state data, wherein the driving data includes at least: mileage data, latitude and longitude data;

and calculating the median of the driving data and determining the sample running state data.

4. The method according to claim 2, wherein before the comparing the current operating status data with the sample operating status data to determine a comparison result, the method further comprises:

calculating a time difference between the first time stamp and the second time stamp;

judging whether the time difference is larger than a preset time threshold value or not;

if the time difference is larger than the preset time threshold, comparing the current running state data with the sample running state data;

and if the time difference is smaller than the preset time threshold, determining that the current operation state data is invalid data.

5. The method according to claim 2, wherein the comparing the current operating status data with the sample operating status data to determine a comparison result comprises:

calculating a data difference value between the current running state data and the sample running state data;

judging whether the data difference value is larger than a preset data threshold value or not;

if the data difference value is larger than the preset data threshold value, determining that the current operation state data is abnormal;

and if the data difference value is smaller than the preset data threshold value, determining that the current running state data is target running state data.

6. The method according to claim 5, wherein after the comparing the current operating status data with the sample operating status data and determining a comparison result, the method further comprises:

if the current running state data is determined to be abnormal, adopting the historical running state data as the target running state data, and storing the historical running state data into the database;

and if the current operation state data is determined to be the target operation state data, storing the current operation state data into the database.

7. The utility model provides a car thing networking data calibration equipment which characterized in that includes:

the receiving module is used for receiving the current running state data of the target vehicle and acquiring the historical running state data of the target vehicle;

the processing module is used for carrying out median filtering processing on the historical running state data and determining sample running state data;

the comparison module is used for comparing the current running state data with the sample running state data to determine a comparison result;

and the checking module is used for finishing data checking based on the comparison result.

8. A non-volatile storage medium, wherein the non-volatile storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the data verification method for the internet of things of automobiles according to any one of claims 1 to 6.

9. A processor, characterized in that the processor is configured to run a program, wherein the program is configured to execute the data verification method of the internet of things of the automobile according to any one of claims 1 to 6 when running.

10. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to perform the method for verifying data of the internet of things of a vehicle as claimed in any one of claims 1 to 6.

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