CN112686019A - Vehicle sensor data analysis method, device and storage medium - Google Patents
Vehicle sensor data analysis method, device and storage medium Download PDFInfo
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Abstract
A vehicle sensor data parsing method, a vehicle sensor data parsing apparatus, and a storage medium, the method comprising: converting vehicle sensor data input by a user in a first area of a preset check interface into target character string data; calculating the target character string data based on the check type selected by the user to obtain first check values respectively corresponding to the target character string data under the check type; determining a target verification type of the vehicle sensor data according to the first verification values of the target character string data respectively; and returning an initial value and a polynomial of the vehicle sensor data according to the target verification type of the vehicle sensor data. The vehicle sensor data analysis can be completed under the condition that an integrated development environment is not needed, the writing of specific codes before the vehicle sensor data analysis is effectively avoided, the difficulty of the vehicle sensor data analysis is reduced, and the analysis efficiency is improved.
Description
Technical Field
The application belongs to the technical field of vehicles, and particularly relates to a vehicle sensor data analysis method, equipment and a storage medium.
Background
At present, a vehicle company needs to analyze data of a vehicle sensor to obtain a verification category of the vehicle sensor, so that the vehicle company can conveniently develop a scheme capable of replacing the vehicle sensor. However, in the prior art, before analyzing data of different vehicle sensors, an Integrated Development Environment (IDE) needs to be installed and a specific code needs to be written under the IDE, so that the data of the different vehicle sensors can be analyzed to obtain verification categories corresponding to the vehicle sensors.
Therefore, the problems of complex installation of the integrated development environment and writing of specific codes exist before the vehicle sensor data is analyzed in the prior art.
Disclosure of Invention
The application aims to provide a vehicle sensor data analysis method, equipment and a storage medium, and aims to solve the problems of complex integrated development environment installation and specific code writing in the traditional scheme before vehicle sensor data analysis.
A first aspect of an embodiment of the present application provides a vehicle sensor data parsing method, including:
acquiring vehicle sensor data input by a user in a first area of a preset check interface;
converting the sensor data into target character string data according to a preset data format;
responding to each check type selected by a user, and respectively calculating the target character string data based on each check type to obtain first check values respectively corresponding to the target character string data under each check type;
determining a target verification type of the vehicle sensor data according to the first verification values of the target character string data respectively;
and returning an initial value and a polynomial of the vehicle sensor data according to the target verification type of the vehicle sensor data.
In an optional implementation manner, before the acquiring vehicle sensor data input by a user in a first area of a preset verification interface, the method further includes:
and responding to a verification interface display instruction triggered by clicking a preset control by a user, and displaying the preset verification interface.
In an optional implementation manner, the converting the sensor data into the target character string data according to a preset data format specifically includes:
dividing the sensor data according to a preset data division rule to obtain at least two sections of sensor data;
converting at least two sections of sensor data into target character string data according to the preset data format;
the operation on the target character string data based on each check type in response to each check type selected by the user is performed to obtain first check values respectively corresponding to the target character string data under each check type, and the operation specifically includes:
and responding to each check type selected by a user, respectively calling a function corresponding to each check type, and calculating each target character string data to obtain a first check value corresponding to each target character string data under each check type.
In an optional implementation manner, the determining a target verification type of the vehicle sensor data according to each first verification value of the target character string data includes:
and for any one of the verification types, if each target character string data is operated based on the verification type, and the obtained first verification value corresponding to each target character string data is the same as the second verification value contained in each target character string data, determining that the verification type is the target verification type of the vehicle sensor.
In an optional implementation manner, the preset verification interface includes a second area, and the second area is provided with at least one inspection category selection box or input box;
the operation on the target character string data based on each check type in response to each check type selected by the user is performed to obtain first check values respectively corresponding to the target character string data under each check type, and the operation specifically includes:
and responding to each verification category selected by the user based on the second area, and respectively calculating the target character string data based on each verification category to obtain first verification values respectively corresponding to the target character string data under each verification category.
In an optional implementation manner, the preset verification interface further includes a third area;
the returning of the initial value and the polynomial of the vehicle sensor data according to the target verification type of the vehicle sensor data specifically includes:
returning an initial value and a polynomial of the vehicle sensor data in the third region according to a target verification type of the vehicle sensor data.
In an alternative implementation, the first area is included as a first text box;
the acquiring of the vehicle sensor data input by the user in the first area of the preset verification interface includes:
and acquiring vehicle sensor data input by a user in a first text box of a preset verification interface.
In an alternative implementation, the third area includes a third text box;
the returning of the initial value and the polynomial of the vehicle sensor data in the third area according to the target verification type of the vehicle sensor data includes:
returning an initial value and a polynomial of the vehicle sensor data in the third text box according to a target verification type of the vehicle sensor data.
A second aspect of an embodiment of the present application provides a vehicle sensor data analysis device, including:
the system comprises an acquisition module, a verification module and a verification module, wherein the acquisition module is used for acquiring vehicle sensor data input by a user in a first area of a preset verification interface;
the conversion module is used for converting the sensor data into target character string data according to a preset data format;
the obtaining module is used for responding to each check type selected by a user, and calculating the target character string data based on each check type to obtain first check values corresponding to the target character string data under each check type;
the determining module is used for determining the target verification type of the vehicle sensor data according to the first verification values of the target character string data;
and the returning module is used for returning the initial value and the polynomial of the vehicle sensor data according to the target verification type of the vehicle sensor data.
In an optional implementation manner, the method further includes:
and the display module is used for responding to a verification interface display instruction triggered by the user clicking the preset control and displaying the preset verification interface.
In an optional implementation manner, the conversion module includes:
the obtaining unit is used for dividing the sensor data according to a preset data dividing rule to obtain at least two sections of sensor data;
the conversion unit is used for converting at least two sections of sensor data into target character string data according to the preset data format;
the obtaining module is specifically configured to:
and responding to each check type selected by a user, respectively calling a function corresponding to each check type, and calculating each target character string data to obtain a first check value corresponding to each target character string data under each check type.
In an optional implementation manner, the determining module is specifically configured to:
and for any one of the verification types, if each target character string data is operated based on the verification type, and the obtained first verification value corresponding to each target character string data is the same as the second verification value contained in each target character string data, determining that the verification type is the target verification type of the vehicle sensor.
In an optional implementation manner, the preset verification interface includes a second area, and the second area is provided with at least one inspection category selection box or input box;
the obtaining module is specifically configured to:
and responding to each verification category selected by the user based on the second area, and respectively calculating the target character string data based on each verification category to obtain first verification values respectively corresponding to the target character string data under each verification category.
In an optional implementation manner, the preset verification interface further includes a third area;
the return module is specifically configured to:
returning an initial value and a polynomial of the vehicle sensor data in the third region according to a target verification type of the vehicle sensor data.
In an alternative implementation, the first area is included as a first text box;
the acquisition module is specifically configured to:
and acquiring vehicle sensor data input by a user in a first text box of a preset verification interface.
In an alternative implementation, the third area includes a third text box;
the return module is specifically configured to:
returning an initial value and a polynomial of the vehicle sensor data in the third text box according to a target verification type of the vehicle sensor data.
A third aspect of the present application provides a vehicle sensor data analysis device, including:
a memory for storing a vehicle sensor data parsing program;
a processor configured to implement the vehicle sensor data analysis method according to the first aspect when executing the vehicle sensor data analysis program.
A fourth aspect of the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the vehicle sensor data interpretation method as described in the first aspect above.
Compared with the prior art, the first aspect of the application has the following beneficial effects: converting vehicle sensor data input by a user in a first area of a preset check interface into target character string data according to a preset data format; calculating the target character string data based on each check type selected by a user to obtain first check values respectively corresponding to the target character string data under each check type; determining a target verification type of the vehicle sensor data according to the first verification values of the target character string data respectively; and returning an initial value and a polynomial of the vehicle sensor data according to the target verification type of the vehicle sensor data. The vehicle sensor data analysis can be completed under the condition that an integrated development environment is not needed, the writing of specific codes before the vehicle sensor data analysis is effectively avoided, the difficulty of the vehicle sensor data analysis is reduced, and the analysis efficiency is improved.
It can be understood that the second aspect to the fourth aspect of the present application have the same advantageous effects as the first aspect of the present application, compared with the prior art, and are not described herein again.
Drawings
FIG. 1 is a schematic flow chart illustrating an implementation of a vehicle sensor data parsing method according to a first embodiment of the present application;
fig. 2 is a schematic diagram of a preset verification interface provided in an embodiment of the present application;
FIG. 3 is a schematic flow chart illustrating an implementation of a vehicle deviation warning method according to a second embodiment of the present disclosure;
FIG. 4 is a schematic diagram of a vehicle sensor data interpretation apparatus provided in a third embodiment of the present application;
fig. 5 is a schematic diagram of a vehicle sensor data analysis device according to a fourth embodiment of the present application.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present application clearer, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
It should be understood that the terms "first," "second," "third," and the like in the description of the present application and in the appended claims, are used for distinguishing between descriptions that are not intended to indicate or imply relative importance.
It should also be appreciated that reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. It should be further noted that, for the convenience of description, only some but not all of the relevant aspects of the present invention are shown in the drawings. Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
Fig. 1 is a schematic flow chart illustrating an implementation of a vehicle sensor data analysis method according to a first embodiment of the present application. The vehicle sensor data parsing method provided by the present embodiment may be executed by a vehicle sensor data parsing device, which includes, but is not limited to, a single server, a server group, or a personal computer, a computer, etc. The details are as follows:
s101, vehicle sensor data input by a user in a first area of a preset verification interface are obtained.
In an embodiment of the application, a vehicle sensor data analysis system is pre-installed on the vehicle sensor data analysis device, and after the vehicle sensor data analysis system runs on the vehicle sensor data analysis device, the preset verification interface is generated. The preset verification interface may include an area for a user to input vehicle sensor data, an area for a user to select a verification type, and the like. It can be understood that the interface structure of the preset verification interface may be designed reasonably by a developer in advance according to the data analysis needs of the vehicle sensor, and is not limited specifically herein.
Exemplarily, as shown in fig. 2, fig. 2 is a schematic diagram of a preset verification interface provided in an embodiment of the present application. As can be seen from fig. 2, the preset verification interface 200 provided in the embodiment of the present application includes a first area 201, a second area 202, and a third area 203. In this implementation, the first area 201 is used for a user to input vehicle sensor data, and illustratively, the first area 201 includes a first text box into which the user can input the vehicle sensor data, and the vehicle sensor data parsing system acquires the vehicle sensor data input by the user in the first text box.
In addition, the vehicle sensor data is factory data of a sensor mounted on the vehicle acquired by the logic analyzer. For example, the factory data of the tire pressure sensor on the vehicle includes the temperature, air pressure, ID number, status word, etc. of the tire pressure sensor.
And S102, converting the sensor data into target character string data according to a preset data format.
It should be noted that the sensor data is binary data, each row of the binary data represents a parameter of one sensor, and the last data of each row of the binary data corresponds to a check value of the sensor data, for example, the sensor data of a certain tire pressure sensor corresponds to 112233445566, where 11 represents a temperature of the sensor, 22 represents an air pressure of the sensor, 33 represents an ID number of the sensor, 44 and 55 represent states of the sensor, respectively, and 66 corresponds to the check value of the sensor data.
In an embodiment of the present application, the predetermined data format is preferably a hexadecimal data format. Of course, the preset data format may also be a decimal data format. And is not particularly limited herein.
Exemplarily, in this embodiment, converting the sensor data into target character string data according to a preset data format includes: dividing the sensor data according to a preset data division rule to obtain at least two sections of sensor data; and respectively converting at least two sections of sensor data into the target character string data according to a preset data format.
Illustratively, the preset data partitioning rule is that the sensor data is partitioned according to a single binary character to obtain at least two binary characters; at least two binary characters are converted into hexadecimal data.
S103, responding to each check type selected by a user, and respectively calculating the target character string data based on each check type to obtain first check values respectively corresponding to the target character string data under each check type.
In an embodiment of the present application, the second area 202 of the preset verification interface 200 includes preset selection frames of each verification category, and names of the verification categories are correspondingly set behind the preset selection frames of each verification category; it is to be understood that the second area 202 may further be provided with an input box for the user to input the verification type, and the user may directly input the name of the verification category in the input box; further, the input box may further include a pull-down item, where the pull-down item includes names of preset check categories, and a user may select a check category through the pull-down item.
Illustratively, in response to each check category selected by a user, calculating the target character string data based on each check category, respectively, to obtain first check values corresponding to the target character string data under each check category, respectively, includes:
and responding to each verification category selected by the user based on the second area, and respectively calculating the target character string data based on each verification category to obtain first verification values respectively corresponding to the target character string data under each verification category.
In addition, when the character string data includes at least two character string data, correspondingly, in response to each check type selected by a user, a function corresponding to each check type is respectively called, and each target character string data is operated to obtain a first check value corresponding to each target character string data under each check type.
And S104, determining the target verification type of the vehicle sensor data according to the first verification values of the target character string data respectively.
Determining a target verification type of the vehicle sensor data according to each first verification value of the target character string data, respectively, including: and for any one verification type, if the data of each target character string is calculated based on the verification type, and the obtained first verification value corresponding to each target character string is the same as the second verification value contained in each target character string, determining that the verification type is the target verification type of the vehicle sensor.
Illustratively, assuming that the verification category selected by the user is crc8 and the sensor data is 112233445566, a verification function of crc8 is called to operate on the sensor data (1122334455) to obtain a first verification value. If the obtained first check value is 66, wherein 66 is a second check value corresponding to the sensor data, the check type is determined to be correct, and the first check value is a target check type of the vehicle sensor, and if the obtained first check value is not 66, the check type is determined to be incorrect, and the first check value is not the target check type of the vehicle sensor.
And S105, returning the initial value and the polynomial of the vehicle sensor data according to the target verification type of the vehicle sensor data.
In an embodiment of the application, the polynomial is an expression of sensor data. For example, assuming that the target verification type is crc8, and the sensor data includes 1122334455, after the sensor data 1122334455 is operated according to the verification function corresponding to the target verification type, the obtained initial value is 0x00, and the obtained polynomial is 0x4 a.
In an embodiment of the present application, the initial value and the polynomial return value are used as the preset verification interface. Specifically, the preset verification interface includes a third area.
Returning an initial value and a polynomial of the vehicle sensor data according to a target verification type of the vehicle sensor data may include: returning an initial value and a polynomial of the vehicle sensor data in the third region according to a target verification type of the vehicle sensor data.
Illustratively, the third region includes a third text box; returning the initial value and the polynomial of the vehicle sensor data in the third area according to the target verification type of the vehicle sensor data may include: returning an initial value and a polynomial of the vehicle sensor data in the third text box according to a target verification type of the vehicle sensor data.
According to the analysis, the vehicle sensor data analysis method provided by the embodiment of the application converts the vehicle sensor data input by a user in the first area of the preset check interface into the target character string data; calculating the target character string data based on each check type selected by a user to obtain first check values respectively corresponding to the target character string data under each check type; determining a target verification type of the vehicle sensor data according to the first verification values of the target character string data respectively; and returning an initial value and a polynomial of the vehicle sensor data according to the target verification type of the vehicle sensor data. The vehicle sensor data analysis can be completed under the condition that an integrated development environment is not needed, the writing of specific codes before the vehicle sensor data analysis is effectively avoided, the difficulty of the vehicle sensor data analysis is reduced, and the analysis efficiency is improved.
As shown in fig. 3, fig. 3 is a schematic flow chart of an implementation of a vehicle deviation warning method according to a second embodiment of the present application. Compared with the embodiment shown in fig. 1, the specific implementation processes of S302 to S306 are the same as those of S101 to S105, except that S301 is further included before S302. It should be noted that S302 and S303 are in a sequential execution relationship. The details are as follows:
s301, responding to a verification interface display instruction triggered by a user clicking a preset control, and displaying the preset verification interface.
S302, vehicle sensor data input by a user in a first area of a preset check interface is obtained.
And S303, converting the sensor data into target character string data according to a preset data format.
S304, responding to each check type selected by a user, and respectively calculating the target character string data based on each check type to obtain first check values respectively corresponding to the target character string data under each check type.
S305, determining the target verification type of the vehicle sensor data according to the first verification values of the target character string data.
S306, returning the initial value and the polynomial of the vehicle sensor data according to the target verification type of the vehicle sensor data.
According to the analysis, the vehicle sensor data analysis method provided by the embodiment of the application converts the vehicle sensor data input by a user in the first area of the preset check interface into the target character string data; calculating the target character string data based on each check type selected by a user to obtain first check values respectively corresponding to the target character string data under each check type; determining a target verification type of the vehicle sensor data according to the first verification values of the target character string data respectively; and returning an initial value and a polynomial of the vehicle sensor data according to the target verification type of the vehicle sensor data. The vehicle sensor data analysis can be completed under the condition that an integrated development environment is not needed, the writing of specific codes before the vehicle sensor data analysis is effectively avoided, the difficulty of the vehicle sensor data analysis is reduced, and the analysis efficiency is improved.
As shown in fig. 4, fig. 4 is a schematic view of a vehicle sensor data analysis device according to a third embodiment of the present application. The modules are included to perform the steps in the embodiments corresponding to fig. 1 or fig. 3. Please refer to fig. 1 or fig. 3 for the corresponding embodiments. For convenience of explanation, only the portions related to the present embodiment are shown. Referring to fig. 4, the vehicle sensor data interpretation apparatus 400 includes:
the obtaining module 401 is configured to obtain vehicle sensor data input by a user in a first area of a preset verification interface;
a conversion module 402, configured to convert the sensor data into target character string data according to a preset data format;
an obtaining module 403, configured to perform, in response to each check category selected by a user, an operation on the target character string data based on each check category, respectively, to obtain first check values corresponding to the target character string data under each check category;
a determining module 404, configured to determine a target verification type of the vehicle sensor data according to each first verification value of the target character string data;
a returning module 405, configured to return an initial value and a polynomial of the vehicle sensor data according to a target verification type of the vehicle sensor data.
In an optional implementation manner, the method further includes:
and the display module is used for responding to a verification interface display instruction triggered by the user clicking the preset control and displaying the preset verification interface.
In an optional implementation manner, the conversion module 402 includes:
the obtaining unit is used for dividing the sensor data according to a preset data dividing rule to obtain at least two sections of sensor data;
the conversion unit is used for converting at least two sections of sensor data into the target character string data according to a preset data format;
the obtaining module 403 is specifically configured to:
and responding to each check type selected by a user, respectively calling a function corresponding to each check type, and calculating each target character string data to obtain a first check value corresponding to each target character string data under each check type.
In an optional implementation manner, the determining module 404 is specifically configured to:
and for any one verification type, if the data of each target character string is calculated based on the verification type, and the obtained first verification value corresponding to each target character string is the same as the second verification value contained in each target character string, determining that the verification type is the target verification type of the vehicle sensor.
In an optional implementation manner, the preset verification interface includes a second area, and the second area is provided with at least one inspection category selection box or input box;
the obtaining module is specifically configured to:
and responding to each verification category selected by the user based on the second area, and respectively calculating the target character string data based on each verification category to obtain first verification values respectively corresponding to the target character string data under each verification category.
In an optional implementation manner, the preset verification interface further includes a third area;
the return module 405 is specifically configured to:
returning an initial value and a polynomial of the vehicle sensor data in the third region according to a target verification type of the vehicle sensor data.
In an alternative implementation, the first area is included as a first text box;
the obtaining module 401 is specifically configured to:
and acquiring vehicle sensor data input by a user in a first text box of a preset verification interface.
In an alternative implementation, the third area includes a third text box;
the return module 405 is specifically configured to:
returning an initial value and a polynomial of the vehicle sensor data in the third text box according to a target verification type of the vehicle sensor data.
It should be noted that, because the contents of information interaction, execution process, and the like between the modules are based on the same concept as the method embodiments shown in fig. 1 or fig. 3 in the present application, specific functions and technical effects thereof may be referred to specifically in the method embodiment section, and are not described herein again.
Fig. 5 is a schematic diagram of a vehicle sensor data analysis device according to a fourth embodiment of the present application. As shown in fig. 5, the vehicle sensor data resolving device 5 of this embodiment includes: a processor 50, a memory 51 and a computer program 52, such as a vehicle sensor data parser, stored in said memory 51 and operable on said processor 50. The steps in the method embodiments described above with reference to fig. 1 or fig. 3 are implemented when the computer program 52 is executed by the processor 50. Alternatively, the processor 50 executes the computer program 52 to implement the functions of the modules 401 to 405 shown in fig. 4.
Illustratively, the computer program 52 may be partitioned into one or more modules/units, which are stored in the memory 51 and executed by the processor 50 to accomplish the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions for describing the execution process of the computer program 52 in the vehicle sensor data interpretation device 5. For example, the computer program 52 may be divided into an acquisition module, a conversion module, an obtaining module, a determination module, and a return module (module in the virtual device), and each module has the following specific functions:
the system comprises an acquisition module, a verification module and a verification module, wherein the acquisition module is used for acquiring vehicle sensor data input by a user in a first area of a preset verification interface;
the conversion module is used for converting the sensor data into target character string data according to a preset data format;
the obtaining module is used for responding to each check type selected by a user, and calculating the preset character string data based on each check type respectively to obtain first check values corresponding to the preset character string data under each check type;
the determining module is used for determining a target verification type of the vehicle sensor data according to the first verification values of the preset character string data;
and the returning module is used for returning the initial value and the polynomial of the vehicle sensor data according to the target verification type of the vehicle sensor data.
The vehicle sensor data interpretation device 5 may include, but is not limited to, a processor 50, a memory 51. Those skilled in the art will appreciate that fig. 5 is merely an example of a vehicle sensor data interpretation device 5 and does not constitute a limitation of the vehicle sensor data interpretation device 5 and may include more or fewer components than shown, or some components in combination, or different components, e.g., the vehicle may also include input output devices, network access devices, buses, etc.
The Processor 50 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 51 may be an internal storage unit of the vehicle sensor data analysis device 5, such as a hard disk or a memory of the vehicle sensor data analysis device 5. The memory 51 may also be an external storage device of the vehicle sensor data analysis device 5, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the vehicle sensor data analysis device 5. Further, the memory 51 may also include both an internal storage unit and an external storage device of the vehicle sensor data analysis device 5. The memory 51 is used to store the computer program and other programs and data required by the vehicle sensor data analysis device 5. The memory 51 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method of the embodiments described above can be realized by a computer program, which can be stored in a computer-readable storage medium and can realize the steps of the embodiments of the methods described above when the computer program is executed by a processor. . Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (10)
1. A vehicle sensor data parsing method, comprising:
acquiring vehicle sensor data input by a user in a first area of a preset check interface;
converting the sensor data into target character string data according to a preset data format;
responding to each check type selected by a user, and respectively calculating the target character string data based on each check type to obtain first check values respectively corresponding to the target character string data under each check type;
determining a target verification type of the vehicle sensor data according to the first verification values of the target character string data respectively;
and returning an initial value and a polynomial of the vehicle sensor data according to the target verification type of the vehicle sensor data.
2. The method of claim 1, further comprising, prior to said obtaining vehicle sensor data entered by a user in a first region of a preset verification interface:
and responding to a verification interface display instruction triggered by clicking a preset control by a user, and displaying the preset verification interface.
3. The method according to claim 1 or 2, wherein the converting the sensor data into the target character string data according to a preset data format specifically comprises:
dividing the sensor data according to a preset data division rule to obtain at least two sections of sensor data;
converting at least two sections of sensor data into target character string data according to the preset data format;
the operation on the target character string data based on each check type in response to each check type selected by the user is performed to obtain first check values respectively corresponding to the target character string data under each check type, and the operation specifically includes:
and responding to each check type selected by a user, respectively calling a function corresponding to each check type, and calculating each target character string data to obtain a first check value corresponding to each target character string data under each check type.
4. The method of claim 3, wherein said determining a target verification type for said vehicle sensor data based on respective said first verification values of said target string data comprises:
and for any one of the verification types, if each target character string data is operated based on the verification type, and the obtained first verification value corresponding to each target character string data is the same as the second verification value contained in each target character string data, determining that the verification type is the target verification type of the vehicle sensor.
5. The method of claim 4, wherein the preset verification interface comprises a second area, and the second area is provided with at least one inspection category selection box or input box;
the operation on the target character string data based on each check type in response to each check type selected by the user is performed to obtain first check values respectively corresponding to the target character string data under each check type, and the operation specifically includes:
and responding to each verification category selected by the user based on the second area, and respectively calculating the target character string data based on each verification category to obtain first verification values respectively corresponding to the target character string data under each verification category.
6. The method of claim 5, wherein the predetermined verification interface further comprises a third region;
the returning of the initial value and the polynomial of the vehicle sensor data according to the target verification type of the vehicle sensor data specifically includes:
returning an initial value and a polynomial of the vehicle sensor data in the third region according to a target verification type of the vehicle sensor data.
7. The method of any of claims 4 to 6, wherein the first area comprises a first text box;
the acquiring of the vehicle sensor data input by the user in the first area of the preset verification interface includes:
and acquiring vehicle sensor data input by a user in a first text box of a preset verification interface.
8. The method of claim 7, wherein the third area comprises a third text box;
the returning of the initial value and the polynomial of the vehicle sensor data in the third area according to the target verification type of the vehicle sensor data includes:
returning an initial value and a polynomial of the vehicle sensor data in the third text box according to a target verification type of the vehicle sensor data.
9. A vehicle sensor data interpretation apparatus, comprising:
a memory for storing a vehicle sensor data parsing program;
a processor for implementing the vehicle sensor data interpretation method according to any one of claims 1 to 8 when executing the vehicle sensor data interpretation program.
10. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out a vehicle sensor data interpretation method according to any one of claims 1 to 8.
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