CN110703740A - Automobile diagnosis data processing method and device and computer storage medium - Google Patents
Automobile diagnosis data processing method and device and computer storage medium Download PDFInfo
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- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
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Abstract
The application provides an automobile diagnosis data processing method, which comprises the following steps: acquiring original diagnostic data, wherein the original diagnostic data are diagnostic data replied by an automobile ECU (electronic control unit), the original diagnostic data comprise m bits, and m is a positive integer; performing bitwise AND operation on the original diagnostic data and preset mask data to obtain intermediate diagnostic data, wherein the preset mask data comprise m bits; and erasing mask bits in the intermediate diagnostic data to obtain target diagnostic data, wherein the mask bits correspond to bit bits with a mask of 0 in the preset mask data one to one.
Description
Technical Field
The present application relates to the field of automobiles, and in particular, to an automobile diagnostic data processing method, an automobile diagnostic data processing device, and a computer storage medium.
Background
With the popularization of automobiles and the pursuit of people for quality of life, most automobiles are provided with an On Board Diagnostics (OBD) system, and a user can quickly acquire diagnostic data detected by various automobile Electronic Control Units (ECUs) through the OBD system, so that the dynamic performance of the automobile is effectively monitored and improved. For example, the OBD system may control the engine speed or monitor whether the exhaust gas emitted from the vehicle is out of compliance in real time according to the diagnostic data fed back from the engine ECU.
Currently, in the automobile diagnosis process, the OBD system directly uses the diagnosis data obtained from the ECU to perform fault diagnosis. Such a diagnosis operation makes the amount of data to be analyzed and processed by the OBD system very large, which results in low efficiency of vehicle diagnosis, and how to quickly and effectively implement vehicle diagnosis is still an urgent problem to be solved.
Disclosure of Invention
The embodiment of the application discloses a method and a device for processing automobile diagnosis data and a computer storage medium, which can be used for quickly and effectively diagnosing an automobile.
In a first aspect, an embodiment of the present application provides an automobile diagnosis data processing method, including:
acquiring original diagnostic data, wherein the original diagnostic data is diagnostic data replied by an automobile ECU (electronic control unit), the original diagnostic data comprises m bits, and m is a positive integer;
performing bitwise AND operation on the original diagnostic data and preset mask data to obtain intermediate diagnostic data, wherein the preset mask data comprises m bits;
erasing mask bits in the intermediate diagnostic data to obtain target diagnostic data, wherein the mask bits correspond to bit bits with a mask of 0 in the preset mask data one to one;
in this embodiment of the present application, the erasing mask bits in the intermediate diagnostic data and obtaining target diagnostic data includes: determining data before and after the mask bit to obtain first diagnostic data and second diagnostic data corresponding to the mask bit, wherein the first diagnostic data is data before the mask bit in the intermediate diagnostic data, and the second diagnostic data is data after the mask bit in the intermediate diagnostic data; and carrying out splicing operation on the first diagnostic data and the second diagnostic data to obtain the target diagnostic data.
In this embodiment of the present application, the determining data before and after the mask bit to obtain the first diagnostic data and the second diagnostic data corresponding to the mask bit includes: determining a position n of the mask bit, wherein the position n of the mask bit represents that the mask bit is at the nth bit of the intermediate diagnostic data, and is at the 0 th bit, the 1 st bit, …, the nth bit, …, the mth bit, n is a positive integer, and 0 ≦ n ≦ m in the intermediate diagnostic data in sequence from right to left; shifting the intermediate diagnostic data by n +1 bits to the right to obtain the first diagnostic data corresponding to the mask bits; constructing a character string expressing binary data according to the position n of the mask bit, wherein the length of the character string is n, and each character in the character string is 1; converting the character string into integer data, wherein the integer data comprises n bits, and each bit is 1; and carrying out bitwise AND operation on the integer data and the intermediate diagnostic data to obtain second diagnostic data corresponding to the mask bits.
In this embodiment of the present application, the splicing the first diagnostic data and the second diagnostic data to obtain the target diagnostic data includes: shifting the first diagnostic data by n bits to the left to obtain third diagnostic data; and performing OR operation on the third diagnostic data and the second diagnostic data according to bits to obtain the target diagnostic data.
According to the method, the original diagnosis data are obtained, the original diagnosis data and the preset mask data are subjected to bitwise AND operation to obtain intermediate diagnosis data, and then the mask bits in the intermediate diagnosis data are erased to obtain target diagnosis data. According to the automobile diagnosis data processing method, the effective data bits in the original diagnosis data acquired by the ECU are extracted through bit operation, the data operation amount of an automobile diagnosis system is reduced, and the automobile diagnosis efficiency is greatly improved. In addition, the method directly performs bit operation on the original diagnostic data, and does not need to convert the original diagnostic data into character strings for performing complex character operation, so that the method is convenient to maintain and expand.
In a second aspect, an embodiment of the present application provides an automobile diagnostic data processing apparatus, including:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring original diagnostic data, the original diagnostic data is diagnostic data replied by an automobile ECU, the original diagnostic data comprises m bits, and m is a positive integer;
the bit AND operation unit is used for performing bit AND operation on the original diagnostic data and preset mask data to obtain intermediate diagnostic data, wherein the preset mask data comprises m bits;
and the erasing unit is used for erasing mask bits in the intermediate diagnostic data to obtain target diagnostic data, wherein the mask bits correspond to bit bits with a mask of 0 in the preset mask data one to one.
In an embodiment of the present application, the erasing unit includes: an extracting unit, configured to determine data before and after the mask bit to obtain first diagnostic data and second diagnostic data corresponding to the mask bit, where the first diagnostic data is data before the mask bit in the intermediate diagnostic data, and the second diagnostic data is data after the mask bit in the intermediate diagnostic data; and the splicing unit is used for splicing the first diagnostic data and the second diagnostic data to obtain the target diagnostic data.
In an embodiment of the present application, the extracting unit is specifically configured to: determining a position n of the mask bit, wherein the position n of the mask bit represents that the mask bit is at the nth bit of the intermediate diagnostic data, and is at the 0 th bit, the 1 st bit, …, the nth bit, …, the mth bit, n is a positive integer, and 0 ≦ n ≦ m in the intermediate diagnostic data in sequence from right to left; shifting the intermediate diagnostic data by n +1 bits to the right to obtain the first diagnostic data corresponding to the mask bits; constructing a character string expressing binary data according to the position n of the mask bit, wherein the length of the character string is n, and each character in the character string is 1; converting the character string into integer data, wherein the integer data comprises n bits, and each bit is 1; and carrying out bitwise AND operation on the integer data and the intermediate diagnostic data to obtain second diagnostic data corresponding to the mask bits.
In an embodiment of the present application, the splicing unit is specifically configured to: shifting the first diagnostic data by n bits to the left to obtain third diagnostic data; and performing OR operation on the third diagnostic data and the second diagnostic data according to bits to obtain the target diagnostic data.
In a third aspect, an embodiment of the present application further provides an automobile diagnostic data processing apparatus, where the apparatus includes: a processor, a communication interface, and a memory; the memory is configured to store instructions, the processor is configured to execute the instructions, and the communication interface is configured to communicate with other devices under control of the processor, wherein the processor executes the instructions to implement the method of any of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program, where the computer program is executed by hardware to implement the method of any one of the first aspect.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic flow chart diagram illustrating a method for processing automobile diagnostic data according to an embodiment of the present disclosure;
FIG. 2 is a schematic flowchart of a possible erase operation method according to an embodiment of the present disclosure;
FIG. 3 is a schematic flow chart of a possible method for extracting target diagnostic data from raw diagnostic data detected by an ECU according to an embodiment of the present application;
FIG. 4 is a schematic structural diagram of an automotive diagnostic data processing apparatus according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of another automotive diagnostic data processing apparatus according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application are clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without inventive step, are within the scope of the present disclosure.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the present application herein is for the purpose of describing particular embodiments only, and is not intended to be limiting of the application. As used in the specification of the present application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
In order to facilitate understanding of the embodiments of the present application, the application scenarios related to the embodiments of the present application are first described here: and (4) a scene of automobile fault diagnosis.
In the scenario of vehicle fault diagnosis, it is common to directly utilize raw diagnostic data detected by a vehicle ECU to perform fault analysis and determine fault diagnosis results, and the like. For example, the OBD system may monitor the original diagnostic data fed back by the ECU during the operation of the vehicle, and if the original diagnostic data fed back by the ECU is larger than a preset range and the phenomenon does not disappear within a certain time, the OBD system may determine that a circuit or an element detected by the ECU correspondingly fails. It can be seen that, in the above-mentioned automobile fault diagnosis process, the OBD system directly utilizes the original diagnostic data that the ECU detected to carry out fault analysis, and when the OBD system monitors a plurality of ECUs simultaneously, the data volume that the OBD system needs analysis and processing can greatly increase to influence automobile diagnosis's efficiency. In other words, for different communication links or fault diagnosis, information such as the cause or position of the fault can be determined by using part of data in the original diagnostic data.
For example, in the case of diagnosing whether the exhaust emission of the automobile is out of standard, the OBD system first needs to obtain the raw diagnostic data detected by the engine ECU of the automobile, wherein it is assumed that the raw diagnostic data fed back by the engine ECU has 24 bits, 8 bits of the 24 bits are fuel injection control data, 4 bits are ignition control data, 4 bits are exhaust emission data, and so on. Generally, in the diagnostic process of the OBD system, each bit in the diagnostic data needs to be determined, and the exhaust emission data only needs to be used for diagnosing the exhaust emission of the vehicle. Therefore, if the detection of the exhaust emission amount is performed using the raw diagnostic data fed back from the engine ECU, a resource waste phenomenon may occur and the diagnostic efficiency may also be reduced.
Therefore, in order to solve the problem of low diagnosis efficiency in the field of automobile fault diagnosis, the application provides an automobile diagnosis data processing method, which is based on mask operation to shield designated bits in original diagnosis data fed back by an ECU, and further extracts effective data from the original diagnosis data to improve the automobile diagnosis efficiency. Referring to fig. 1, fig. 1 is a schematic flow chart of a method for processing vehicle diagnostic data according to the present application. As shown in fig. 1, the method for processing the automobile diagnosis data according to the embodiment of the present application includes, but is not limited to, the following steps:
s101, the automobile diagnosis data processing device acquires original diagnosis data.
In the embodiment of the application, the original diagnostic data is the diagnostic data returned by the automobile ECU, and the original diagnostic data comprises m bits, wherein m is a positive integer. In a specific application, the automobile diagnosis data processing device receives diagnosis operation sent by a user, determines an ECU (such as an engine ECU, a refrigerator ECU and the like) which needs to be diagnosed by the user according to the diagnosis operation so as to establish communication connection with the ECU, and then the ECU sends the detected original diagnosis data to the automobile diagnosis data processing device through an automobile diagnosis interface (such as an automobile diagnosis interface based on ODX standard).
S102, the automobile diagnosis data processing device performs bitwise AND operation on the original diagnosis data and preset mask data to obtain intermediate diagnosis data.
In the embodiment of the present application, the preset mask data includes m bits, and as can be seen from step S101, the original diagnostic data also includes m bits, so that the number of bits of the preset mask data is the same as the number of bits of the original diagnostic data. For convenience of description, the original diagnostic data and the preset mask data are both described as binary data, for example, the original diagnostic data is 11100111B, the preset mask data is 11111011B, and the original diagnostic data and the preset mask data are bitwise and-operated, and the obtained intermediate diagnostic data is 11100011B, wherein since the bit of the preset mask data with the mask of 0 is the 2 nd bit, the 2 nd bit in the original diagnostic data can be changed into 0 through the bitwise and-operation, that is, the 2 nd bit of the intermediate diagnostic data is 0. It should be understood that B represents binary.
S103, the automobile diagnosis data processing device erases the mask bit in the intermediate diagnosis data to obtain target diagnosis data.
Wherein, the mask bits in the intermediate diagnostic data correspond to the bits with the mask of 0 in the preset mask data one to one. For example, the 2 nd bit in the above-described preset mask data 11111011B is 0, and thus the mask bit in the intermediate diagnostic data 11100011B is the 2 nd bit. It should be noted that the positions of the mask bits may be calculated from right to left or from left to right, and the present application is not limited specifically, and if the positions of the mask bits are calculated from left to right, the 5 th bit in the preset mask data 11110011B in the above embodiment is 0, and the corresponding mask bit of the intermediate diagnostic data 11100011B is the 5 th bit.
In a specific embodiment of the present application, the automobile diagnostic data processing apparatus determines data before and after a mask bit to obtain first diagnostic data and second diagnostic data corresponding to the mask bit, where the first diagnostic data is data before the mask bit in the intermediate diagnostic data, and the second diagnostic data is data after the mask bit in the intermediate diagnostic data; and splicing the first diagnostic data and the second diagnostic data to obtain target diagnostic data.
It can be understood that when k bits in the preset mask data are 0, k mask bits in the intermediate diagnostic data corresponding to the preset mask data need to be erased, and only one mask bit can be erased in 1 erasing operation, k erasing operations need to be performed on the k mask bits, and the target diagnostic data can be obtained after the k erasing operations. It should be noted that, before each erasing operation, the position of the mask bit erased this time needs to be determined, in other words, before the erasing operation is performed, the position of the mask bit erased this time in the previous erasing result needs to be determined, or the position of the mask bit erased this time in the preset mask data needs to be determined, or the position of the mask bit erased here in the intermediate diagnostic data needs to be determined, and the present application is not limited specifically. The position of the mask bit erased at this time in the preset mask data is the same as the position of the mask bit erased at the intermediate diagnostic data, and the position of the mask bit in the previous erasing result can be obtained by subtracting the number of bits of the mask bit erased from the position of the mask bit in the preset mask data.
In the embodiment of the application, the automobile diagnostic data processing device performs the 1 st erasing operation on the intermediate diagnostic data to obtain the 1 st erasing result, then performs the 2 nd erasing operation on the 1 st erasing result to obtain the 2 nd erasing result, … performs the ith erasing operation on the i-1 st erasing result to obtain the ith erasing result, … performs the kth erasing operation on the k-1 st erasing result to obtain the kth erasing result, namely the target diagnostic data. Wherein i is a positive integer, and i is more than or equal to 1 and less than or equal to k.
Taking the ith erasing operation as an example, the automobile diagnostic data processing apparatus erases the ith mask bit in the intermediate diagnostic data, and the ith erasing result can be obtained. As shown in fig. 2, fig. 2 is a schematic flow chart of the ith erasing operation method, which specifically includes the following steps:
and S1031, determining the position n of the ith mask bit.
The position n of the ith mask bit represents the nth bit of the ith mask bit in the intermediate diagnostic data, the 0 th bit, the 1 st bit, …, the nth bit, … and the mth bit of the intermediate diagnostic data are sequentially arranged in the intermediate diagnostic data from right to left, n is a positive integer, and n is greater than or equal to 0 and less than or equal to m. From the position n of the ith mask bit in the intermediate diagnostic data, the nth- (i-1) bit of the ith mask bit in the (i-1) th erasure result can be obtained, wherein i-1 represents the i-1 mask bits that have been erased after i-1 erasure operations.
S1032, the (i-1) th erasure result is shifted to the right by n- (i-1) +1 bit to obtain first diagnostic data corresponding to the ith mask bit.
And S1033, constructing a character string expressing binary data according to the position n of the ith mask bit.
Wherein the length of the character string is n- (i-1), and each character in the character string is 1.
S1034, converting the character string into integer data.
The integer data includes n- (i-1) bits, and each bit is 1, that is, the integer data is equivalent to a binary integer whose n- (i-1) bits are 1. It should be appreciated that a string may be converted to integer data corresponding to the binary string by calling the atoi function in the C/C + + language standard library.
And S1035, performing bitwise AND operation on the integer data and the i-1 st erasure result to obtain second diagnostic data corresponding to the ith mask bit.
S1036, shifting the first diagnostic data corresponding to the ith mask bit by n- (i-1) bits to the left to obtain third diagnostic data corresponding to the ith mask bit.
S1037, performing bitwise OR operation on the third diagnostic data corresponding to the ith mask bit and the second diagnostic data corresponding to the ith mask bit to obtain an ith erasing result.
For simplicity, only the procedure of the ith erase operation is described above, and actually, the 1 st, 2 nd, 3 rd, … th and kth erase operations are the same as the ith erase operation, and will not be described herein again.
It should be noted that after each recursive erase operation, it is necessary to determine whether a next erase operation needs to be performed, specifically, determine whether a mask bit erased in the recursive erase operation is a highest mask bit, or determine whether the mask bit erased in the recursive erase operation corresponds to a highest bit of 0 bit in the preset mask data. For example, the 1 st erase operation erases the 1 st mask bit, and the highest bit of the mask bits in the intermediate diagnostic data is the 7 th bit, so the 2 nd erase operation is required.
Optionally, the data of the vehicle in the normal state is pre-stored in the vehicle diagnostic data processing device, and after the vehicle diagnostic data processing device obtains the target diagnostic data, the target diagnostic data may be compared with the data of the vehicle in the normal state to determine a diagnostic result, where the diagnostic result may include fault information of the vehicle, such as a fault occurring at an engine position of the vehicle. It should be noted that, in the case that there is no fault in the vehicle, the diagnosis result may also be displayed as that the vehicle is normal.
Further, after obtaining the diagnosis result, the automobile diagnosis data processing device can display the diagnosis result on a terminal device (such as a mobile phone, a computer, etc.) through the automobile diagnosis interface, so that a user can know the diagnosis result in time. In addition, when the diagnosis result shows that the vehicle has a fault, an alarm prompt may be sent according to information such as the location of the fault and the severity of the fault, so that a user may take corresponding measures according to the specific situation of the vehicle, which is not specifically limited herein.
In a specific embodiment of the present application, the terminal device may be a mobile phone, a tablet computer, a Personal Digital Assistant (PDA), a Mobile Internet Device (MID), a notebook computer, an intelligent wearable device (such as an intelligent watch and an intelligent bracelet), and the like, and the terminal device is embedded with an album.
In the automobile diagnosis data processing method, effective data in the original diagnosis data acquired by the ECU is extracted through bit operation, so that the automobile diagnosis efficiency can be improved. Because the data at the bottom layer of the computer are binary data and all logic and operations are converted into binary data to be executed, the method and the device directly adopt bit operation on the related data (such as original diagnostic data, preset mask data and the like), and can greatly improve the analysis and processing efficiency of the data. In addition, the bit operation only needs to execute few codes to complete complex operation logic and precise operation, so the automobile diagnosis data processing method provided by the embodiment of the application is simple and convenient to implement, and is convenient to maintain and expand.
For the convenience of understanding of the embodiments of the present application, the following takes the example of extracting the target diagnostic data from the raw diagnostic data 111001111010101010100101B, and the specific steps of the embodiments of the present application will be described in detail.
Referring to fig. 3, fig. 3 is a flow chart illustrating a method for extracting target diagnostic data from raw diagnostic data detected by an ECU according to the present application. As shown in fig. 3, the method for extracting target diagnostic data from raw diagnostic data detected by an ECU provided by the present application includes, but is not limited to, the following steps:
1. raw diagnostic data is acquired.
For example, the ECU detects 111001111010101010100101B as the raw diagnostic data.
2. And carrying out bit AND operation on the original diagnostic data and the preset mask data to obtain intermediate diagnostic data.
When the preset mask data is 010011010000000011111111B, the bit and operation is performed on the original diagnostic data and the preset mask data, and the intermediate diagnostic data is 010001010000000010100101B.
3. Mask bits in the intermediate diagnostic data are determined, and an erasing operation is performed on the mask bits in the intermediate diagnostic data starting from the 0 th bit on the right side of the intermediate diagnostic data to obtain target diagnostic data.
For convenience of description, the intermediate diagnostic data is divided into three bytes, wherein the intermediate diagnostic data includes a first byte 01000101B, a second byte 00000000B, and a third byte 10100101B from left to right. The above recursive erase operation is described in detail in units of bytes as follows. First, the preset mask data 010011010000000011111111B is also divided into three bytes, 01001101B, 00000000B, 11111111B, respectively, according to the three bytes of the above-mentioned intermediate diagnostic data.
First, the erase operation of the mask bits for the first byte 01000101B of the intermediate diagnostic data is as follows:
it is determined that the 1 st bit, the 4 th bit, the 5 th bit, and the 7 th bit of the preset mask data 01001101B corresponding to the first byte 01000101B are 0, which are defined as the 0 th bit, the 1 st bit, …, and the 7 th bit in the first segment mask data from right to left, that is, the 0 th bit is 1, the 1 st bit is 0, the 2 nd bit is 1, the 3 rd bit is 1, the 4 th bit is 0, the 5 th bit is 0, the 6 th bit is 1, and the 7 th bit is 0 in the first segment mask data 01001101B. Correspondingly, the mask bits in the first byte 01000101B include bits 1, 4, 5, and 7.
Performing a first erasing operation on the intermediate diagnostic data: in the erase operation, a first erase operation is first performed starting from the lower bits of the first byte, in other words, the first mask bit in the first byte, here, the 1 st bit in the first byte, is erased. To obtain data 010001B before the first mask bit and data 1 after the first mask bit, first determine the position of the first mask bit in the first byte to be 1, calculate the right shift offset to be 2, so that 01000101B is right-shifted by 2 bits to obtain 010001B (00010001B) corresponding to the first mask bit; and then constructing a character string with the length of 1 by using the right shift offset, wherein the length of the character string is the right shift offset minus 1, and each character in the character string is 1, so that the character string is 1. Calling an atoi function in a standard library to convert the character string '1' into an integer 1, and further obtaining second diagnostic data corresponding to the first mask bit as 1 (00000001B); shifting the first diagnostic data by 1 bit to the left to obtain 0100010B as third diagnostic data corresponding to the first mask bit; finally, the third diagnostic data 0100010B is bit-or-operated with the second diagnostic data 1 to obtain 0100011B as the result of the first recursive erase operation.
The result 0100011B of the first erase operation is subjected to a second erase operation where the 3 rd bit in the result is erased, i.e., the mask bit corresponding to the 4 th bit in the first byte or the 4 th bit in the first segment of mask data. Calculating the right shift offset to be 4, so that 0100011B of the result of the first recursive erase operation is right-shifted by 4 bits, and the first diagnostic data corresponding to the second mask bit is 010B; then, a character string with the length of 3 is constructed by using the right shift offset, wherein the length of the character string is the right shift offset minus 1, and each character in the character string is 1, so that the character string is '111'. Calling an atoi function in a standard library to convert the character string '111' into an integer 7(111B), and performing bit AND operation on the integer and a result 0100011B of the first recursive erasing operation to obtain second diagnostic data 11B corresponding to a second mask bit; shifting the first diagnostic data by 3 bits to the left to obtain 010000B third diagnostic data corresponding to the second mask bit; finally, bit-OR operation is performed on the third diagnostic data 010000B and the second diagnostic data 11, and the result of the second erase operation is 010011B.
The result 010011B of the second erase operation is subjected to a third erase operation, where the 3 rd bit in the result is erased, i.e., the mask bit corresponding to the 5 th bit in the first byte or the 5 th bit in the first segment of mask data. Calculating the right shift offset to be 4, so that the result 0100011B of the first recursive erase operation is right-shifted by 4 bits, and the first diagnostic data corresponding to the third mask bit is 01B; then, a character string with the length of 3 is constructed by using the right shift offset, wherein the length of the character string is the right shift offset minus 1, and each character in the character string is 1, so that the character string is '111'. Calling an atoi function in a standard library to convert the character string '111' into an integer 7(111B), and performing bit AND operation on the integer and the result 010011B of the second recursive erasing operation to obtain second diagnostic data 11B corresponding to a third mask bit; shifting the first diagnostic data by 3 bits to the left to obtain a third diagnostic data 01000B corresponding to the third mask bit; finally, bit-OR operation is performed on the third diagnostic data 01000B and the second diagnostic data 11B, and the result of the third erase operation is 01011B.
The result 01011B of the third erase operation is subjected to a fourth erase operation, where the 4 th bit in the result is erased, i.e., the 7 th bit in the first byte or the mask bit corresponding to the 7 th bit in the first segment of mask data. Calculating the right shift offset to be 5, so that the result 01011B of the third recursive erase operation is shifted to the right by 5 bits, and the first diagnostic data corresponding to the fourth mask bit is 0; then, a character string with the length of 4 is constructed by using the right shift offset, wherein the length of the character string is the right shift offset minus 1, and each character in the character string is 1, so that the character string is "1111". Calling an atoi function in a standard library to convert the character string '1111' into an integer 15(1111B), and performing bit AND operation on the integer and a result 01011B of the third recursive erasing operation to obtain second diagnostic data 1011B corresponding to a fourth mask bit; shifting the first diagnostic data by 4 bits to the left to obtain third diagnostic data which is 0 and corresponds to a fourth mask bit; finally, the third diagnostic data 0 and the second diagnostic data 1011B are subjected to a bit or operation, and the result of the fourth erase operation is 1011B.
Thus, performing 4 recursive erase operations on the first byte 01001101B of intermediate diagnostic data results in 1011B.
Next, the recursive erase operation of the mask bits for the second byte 00000000B of the intermediate diagnostic data is as follows: determining that second segment mask data of the preset mask data corresponding to the second byte is 00000000B, wherein all bits in the second segment mask data are 0, and correspondingly, the mask bits in the second byte include 1 st bit, 2 nd bit, 3 rd bit, 4 th bit, 5 th bit, 6 th bit and 7 th bit. Thus, the second byte of intermediate diagnostic data is erased in its entirety.
Finally, the recursive erase operation of the mask bits for the third byte 10100101B of the intermediate diagnostic data is as follows: and determining that the third segment mask data of the preset mask data corresponding to the third byte is 11111111B, wherein all bits in the third segment mask data are 1, and correspondingly, no mask bit exists in the second byte, so that the third byte of the intermediate diagnostic data is completely reserved, that is, the result of performing recursive erasure operation on the mask bit of the third byte 10100101B of the intermediate diagnostic data is 10100101B.
In summary, according to the result of the erasing operation, the original diagnostic data 111001111010101010100101B is masked by the preset masking data 010011010000000011111111B, and the obtained target diagnostic data is 101110100101B.
Therefore, the automobile diagnosis data processing method can obtain the target diagnosis data corresponding to the original diagnosis data detected by the ECU by using different preset mask data in different diagnosis processes, so that the diagnosis results of the automobile in different diagnosis processes are determined. Therefore, the method can effectively complete all diagnosis services which may be involved.
With reference to fig. 1, fig. 2, and fig. 3 and the method embodiments, the following describes related apparatuses according to embodiments of the present application, and specifically, with reference to fig. 4, fig. 4 is a schematic structural diagram of an automobile diagnostic data processing apparatus provided in the present application, where the automobile diagnostic data processing apparatus 400 at least includes:
an obtaining unit 410, configured to obtain original diagnostic data, where the original diagnostic data is diagnostic data replied by an automobile ECU, the original diagnostic data includes m bits, and m is a positive integer;
a bit and operation unit 420, configured to perform a bit and operation on the original diagnostic data and preset mask data to obtain intermediate diagnostic data, where the preset mask data includes m bits;
the erasing unit 430 is configured to erase mask bits in the intermediate diagnostic data to obtain target diagnostic data, where the mask bits correspond to bit bits with a mask of 0 in the preset mask data one to one.
In one possible embodiment, the erase unit 430 includes: an extracting unit 431, configured to determine data before and after the mask bit to obtain first diagnostic data and second diagnostic data corresponding to the mask bit, where the first diagnostic data is data before the mask bit in the intermediate diagnostic data, and the second diagnostic data is data after the mask bit in the intermediate diagnostic data; the splicing unit 432 is configured to perform a splicing operation on the first diagnostic data and the second diagnostic data to obtain target diagnostic data.
In a possible embodiment, the extracting unit 431 is specifically configured to: determining a position n of the mask bit, wherein the position n of the mask bit represents that the mask bit is at the nth bit of the intermediate diagnostic data, and the 0 th bit, the 1 st bit, …, the nth bit, … th bit and the mth bit of the intermediate diagnostic data are sequentially arranged from right to left in the intermediate diagnostic data, n is a positive integer, and n is greater than or equal to 0 and less than or equal to m; shifting the middle diagnostic data by n +1 bits to the right to obtain first diagnostic data corresponding to the mask bits; constructing a character string expressing binary data according to the position n of the mask bit, wherein the length of the character string is n, and each character in the character string is 1; converting the character string into integer data, wherein the integer data comprises n bits, and each bit is 1; and carrying out bitwise AND operation on the integer data and the intermediate diagnostic data to obtain second diagnostic data corresponding to the mask bits.
In one possible embodiment, the splicing unit 432 is specifically configured to: shifting the first diagnostic data by n bits to the left to obtain third diagnostic data; and performing OR operation on the third diagnostic data and the second diagnostic data according to bits to obtain target diagnostic data.
The functional units of the above-mentioned automotive diagnostic data processing apparatus 400 can be used to implement the method described in the embodiment of fig. 1 and fig. 2, and for the specific content, reference may be made to the description in the relevant content of the embodiment of fig. 1 and fig. 2, and for the sake of brevity of the description, the description is not repeated here.
In the automobile diagnosis data processing device, the original diagnosis data is obtained, then the bit AND operation is carried out on the original diagnosis data and the preset mask data, so that the intermediate diagnosis data is obtained, and the mask bit in the obtained intermediate diagnosis data is erased, so that the target diagnosis data can be obtained, so that the data operation amount of the automobile diagnosis system is greatly reduced, the automobile diagnosis efficiency is improved, and the maintenance and the expansion are convenient.
Referring to fig. 5, the present application provides a schematic structural diagram of another automotive diagnostic data processing apparatus 500, which includes: processor 510, communication interface 520, and memory 530, where processor 510, communication interface 520, and memory 530 are coupled by bus 540. Wherein the content of the first and second substances,
the processor 510 may be a Central Processing Unit (CPU), a general purpose processor, a Digital Signal Processor (DSP), an application-specific integrated circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable Logic Device (PLD), a transistor logic device, a hardware component, or any combination thereof. The processor 510 described above may implement or perform various exemplary methods described in connection with the present disclosure. Specifically, the processor 510 reads the program code stored in the memory 530 and cooperates with the communication interface 520 to execute some or all of the steps of the method executed by the automotive diagnostic data processing apparatus 400 in the above embodiment of the present application, for example, S101 to S104 shown in fig. 1.
The communication interface 520 may be a wired interface, such as an ethernet interface, a controller area network interface, a Local Interconnect Network (LIN) interface, and a FlexRay interface, or a wireless interface, such as a cellular network interface or a wireless lan interface, for communicating with other modules or devices. Specifically, the communication interface 520 is connected to the input/output device 550, and the input/output device 550 may include a car ECU, a terminal device, and the like.
The bus 540 may be a Controller Area Network (CAN) or other internal bus that enables interconnection between various systems or devices within the vehicle. The bus 540 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
It should be understood that the automotive diagnostic data processing apparatus may contain more or fewer components than illustrated in fig. 5, or have a different arrangement of components.
The embodiment of the present application also provides a computer-readable storage medium, which stores a computer program, where the computer program is executed by hardware (for example, a processor, etc.) to perform part or all of the steps of any one of the methods performed by the automobile diagnostic data processing device in the embodiment of the present application.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the above computer program instructions are loaded and executed on a computer, the processes or functions described in the embodiments of the present application are wholly or partially generated. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, digital subscriber line) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., compact disk), or a semiconductor medium (e.g., solid state disk), among others.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the above-described units is merely a logical division, and the actual implementation may have another division, 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 indirect coupling or direct coupling or communication connection between each other shown or discussed may be through some interfaces, indirect coupling or communication connection of devices or units, and may be electrical or in other forms.
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 elements may be selected according to actual needs to achieve the purpose of the solution of the embodiments of the present application.
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 unit may be stored in a computer-readable storage medium if it is implemented in the form of a software functional unit and sold or used as a separate product. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage media may include, for example: u disk, removable hard disk, read only memory, random access memory, magnetic or optical disk, etc.
While the invention has been described with reference to specific embodiments, the scope of the invention is not limited thereto, and those skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the invention. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. An automobile diagnosis data processing method is characterized by comprising the following steps:
acquiring original diagnostic data, wherein the original diagnostic data is diagnostic data replied by an automobile ECU (electronic control unit), the original diagnostic data comprises m bits, and m is a positive integer;
performing bitwise AND operation on the original diagnostic data and preset mask data to obtain intermediate diagnostic data, wherein the preset mask data comprises m bits;
and erasing mask bits in the intermediate diagnostic data to obtain target diagnostic data, wherein the mask bits correspond to bit bits with a mask of 0 in the preset mask data one to one.
2. The method of claim 1, wherein erasing mask bits in the intermediate diagnostic data to obtain target diagnostic data comprises:
determining data before and after the mask bit to obtain first diagnostic data and second diagnostic data corresponding to the mask bit, wherein the first diagnostic data is data before the mask bit in the intermediate diagnostic data, and the second diagnostic data is data after the mask bit in the intermediate diagnostic data;
and carrying out splicing operation on the first diagnostic data and the second diagnostic data to obtain the target diagnostic data.
3. The method of claim 2, wherein determining data before and after the mask bits to obtain first and second diagnostic data corresponding to the mask bits comprises:
determining a position n of the mask bit, wherein the position n of the mask bit represents that the mask bit is at the nth bit of the intermediate diagnostic data, and is at the 0 th bit, the 1 st bit, …, the nth bit, …, the mth bit, n is a positive integer, and 0 ≦ n ≦ m in the intermediate diagnostic data in sequence from right to left;
shifting the intermediate diagnostic data by n +1 bits to the right to obtain the first diagnostic data corresponding to the mask bits;
constructing a character string expressing binary data according to the position n of the mask bit, wherein the length of the character string is n, and each character in the character string is 1;
converting the character string into integer data, wherein the integer data comprises n bits, and each bit is 1;
and carrying out bitwise AND operation on the integer data and the intermediate diagnostic data to obtain second diagnostic data corresponding to the mask bits.
4. The method of claim 3, wherein the stitching the first diagnostic data with the second diagnostic data to obtain the target diagnostic data comprises:
shifting the first diagnostic data by n bits to the left to obtain third diagnostic data;
and performing OR operation on the third diagnostic data and the second diagnostic data according to bits to obtain the target diagnostic data.
5. An automotive diagnostic data processing apparatus, characterized by comprising:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring original diagnostic data, the original diagnostic data is diagnostic data replied by an automobile ECU, the original diagnostic data comprises m bits, and m is a positive integer;
the bit AND operation unit is used for performing bit AND operation on the original diagnostic data and preset mask data to obtain intermediate diagnostic data, wherein the preset mask data comprises m bits;
and the erasing unit is used for erasing mask bits in the intermediate diagnostic data to obtain target diagnostic data, wherein the mask bits correspond to bit bits with a mask of 0 in the preset mask data one to one.
6. The apparatus of claim 5, wherein the erase unit comprises:
an extracting unit, configured to determine data before and after the mask bit to obtain first diagnostic data and second diagnostic data corresponding to the mask bit, where the first diagnostic data is data before the mask bit in the intermediate diagnostic data, and the second diagnostic data is data after the mask bit in the intermediate diagnostic data;
and the splicing unit is used for splicing the first diagnostic data and the second diagnostic data to obtain the target diagnostic data.
7. The apparatus according to claim 6, wherein the extraction unit is specifically configured to:
determining a position n of the mask bit, wherein the position n of the mask bit represents that the mask bit is at the nth bit of the intermediate diagnostic data, and is at the 0 th bit, the 1 st bit, …, the nth bit, …, the mth bit, n is a positive integer, and 0 ≦ n ≦ m in the intermediate diagnostic data in sequence from right to left;
shifting the intermediate diagnostic data by n +1 bits to the right to obtain the first diagnostic data corresponding to the mask bits;
constructing a character string expressing binary data according to the position n of the mask bit, wherein the length of the character string is n, and each character in the character string is 1;
converting the character string into integer data, wherein the integer data comprises n bits, and each bit is 1;
and carrying out bitwise AND operation on the integer data and the intermediate diagnostic data to obtain second diagnostic data corresponding to the mask bits.
8. The apparatus according to claim 7, wherein the splicing unit is specifically configured to:
shifting the first diagnostic data by n bits to the left to obtain third diagnostic data;
and performing OR operation on the third diagnostic data and the second diagnostic data according to bits to obtain the target diagnostic data.
9. An automotive diagnostic data processing apparatus, characterized in that the apparatus comprises: a processor, a communication interface, and a memory; the memory is used for storing instructions, the processor is used for executing the instructions, and the communication interface is used for communicating with other devices under the control of the processor, wherein the processor executes the instructions to realize the method of any one of claims 1 to 4.
10. A computer-readable storage medium, in which a computer program is stored, the computer program being executable by hardware to implement the method of any one of claims 1 to 4.
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