JP2007205751A - Method and apparatus for measuring waveform of serial communication data - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a method and apparatus for displaying the waveform of serial communication data which performs analysis of data related to trigger conditions collected in large numbers and association between data of histories. <P>SOLUTION: The waveform measuring apparatus comprises: a measuring means 1 for acquiring an analog signal of serial communication from various sensors and converting it into digital data; a history memory 2 for storing the digital data from the measuring means 1; an extracting means 3a for extracting data related to a trigger condition indicated by an ID for the data stored in the history memory 2 as history data; a data processing means for performing predetermined data processing on the data extracted by the extracting means 3a; and a display means 5 for displaying the data which has been subjected to the data processing by the data processing means. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a waveform measurement method and apparatus for serial communication data.

  Serial communication is a type of communication method in which digital data is continuously transmitted bit by bit. There are many communication protocols such as RS232C, USB, CAN, LIN, and FlexRay. In the case of serial communication, analysis of the physical layer (communication path) is necessary for analysis of troubles caused by noise due to surge voltage, level fluctuation due to overload after connection, and the like. In recent years, an apparatus for analyzing the physical layer has been developed. This type of apparatus can analyze data while displaying the waveform of the physical layer as an analog waveform. In addition, synchronous observation of the physical layer digital data and the analog waveform can be performed.

  FIG. 9 is a diagram showing an example of synchronous observation of digital data and an analog waveform on the physical layer. In the figure, P is the serial communication waveform of the first channel, Q is the serial communication waveform of the second channel, and all data of the analog waveform of the serial bus is shown. The second channel is displayed based on the result of performing a predetermined calculation based on the data of the first channel. The first channel and the second channel are shown so that the black regions are continuous in a burst manner. However, since the black regions are not enlarged, they are displayed in black.

  C is a zoom box. When the range of this box is enlarged at a predetermined magnification, an enlarged waveform as shown in region D is obtained. P ′ corresponds to the first channel P, and Q ′ corresponds to the second channel Q. When P ′ is viewed, an analog waveform and binary digital data corresponding to the analog waveform are displayed. The analog waveform shown at P is 50 μs per division, while P ′ is 500 ns per division. Therefore, it can be seen that the region D is displayed magnified 100 times. E is an area indicating the analysis result of the digital data. It consists of a packet number (NO.), A packet ID (FrmID), a size (PLen), and the like. In this figure, it is only necessary to know the serial communication waveform, its enlarged view, and the analysis result, so the detailed description is omitted.

  In this type of apparatus, a trigger function is added, and when this trigger function is used, a signal can be captured using meaningful data on the communication path as a trigger condition. FIG. 10 is a diagram illustrating an example of a data frame format according to the CAN protocol. Here, in the CAN (Car Area Network) communication protocol (protocol), as shown in FIG. 10, it is composed of an Arbitration Field, a Control Field, and a Data Field. For example, the Arbitration Field can be used as a trigger condition for measurement. Arbitration Field, Control Field, and Data Field constitute one frame of data.

  In the figure, SOF is a bit indicating the head of a frame in Start Of Frame. The arbitration field is composed of an 11-bit ID (Identifier), and one bit of RTR (Remote Transmission Request Bit) is included after the ID. The control field is composed of an IDE bit, a ro bit, and a DLC bit.

  Here, the point S shown in the figure is a trigger condition point, and when “Start Of Frame” is selected, the trigger is applied at this S point. Point I is another trigger condition point. When “Identifier” is selected, a trigger is applied at this point I. The Data Field contains meaningful contents depending on the application, such as the number of rotations and speed.

  Data frames are randomly transmitted on the communication path. While this data frame is transmitted periodically, it is transmitted when requested. FIG. 11 is a diagram showing a specific example of a data frame. For example, D1 is the Arbitration Field ID = 100, and the rotation speed is measured. Here, 300 is measured as the rotation speed. Similarly, D2 is ID = 101 and the pressure is measured. Here, 1000 is measured as the pressure. D3 is ID = 102 and measures the temperature. Here, 60 is measured as the temperature. In the figure, the rotation speed, pressure, and temperature dimensions are not shown, but a predetermined dimension is used as necessary. For example, when the rotation speed is taken as an example, either rpm or rps is used.

The amount of communication data (measurement time) that can be taken into the measuring instrument depends on the memory capacity of the measuring instrument and the communication speed of serial data. When data of a certain communication speed (maximum 1 Mbit / s in the case of CAN) is to be analyzed in the physical layer, a sample rate (10 Msample / s) approximately 10 times the communication speed is required. This numerical value of 10 times was obtained experimentally. In this case, even if data is captured with a maximum memory capacity of 32 MW (W is an abbreviation of Word), it can be captured only for about 3.2 seconds. Further, when a trigger condition to be measured occurs a plurality of times or for a long time, it cannot be stored in the memory. FIG. 12 is a diagram showing an example in which a plurality of trigger conditions are generated in a long-time observation. When data is captured using ID = 101 as a trigger condition, only the measurement time shown in the figure can be captured. Here, the ID corresponds to the Identifier in the format of FIG. In the figure, the measurement time that can be taken before and after the trigger is shown, but the trigger condition of ID = 101 is continuously generated as shown in the figure. Nevertheless, the measurement time of data that can be captured under the trigger condition of ID = 101 can be captured only in the time width W shown in the figure, and other data of ID = 101 cannot be captured.

  In order to solve such a problem, a history memory function is used in this type of apparatus. The function of the history memory is as follows. The record length (measurement time) is set short, the memory is divided into blocks, and waveform data is stored in each block of the memory each time a trigger is applied. When the maximum number of blocks determined by the record length is N, if the number of triggers exceeds N, the oldest block of data is erased. As a result, the latest N blocks of data are stored in the history memory.

  Next, when the measurement is stopped, the waveform data stored in each block can be called up and displayed on the display screen. Then, after data of N blocks (here, 100 blocks) designated in the history memory are stored, only one selected waveform can be displayed or all waveforms can be displayed. Such a function is convenient when observing a time-series change of a waveform. FIG. 13 is an explanatory diagram of the history memory function. As shown in the figure, when the selected record NO is 0 as shown in the figure, the past waveform can be displayed retroactively from the current display waveform. In this case, the selected record NO can be arbitrarily selected in the range of −1 to −99.

  When the trigger condition is generated a plurality of times or for a long time and the data is analyzed, the history function described above can be used. Set the capture time (record length) that matches the trigger condition, and capture data as multiple history memories. FIG. 14 is a diagram showing an image for capturing a plurality of trigger conditions. The record length is divided into short time zones, which are divided into blocks, so that the memory capacity (for example, 32 MB) is divided so as to reduce the amount taken once. Thereby, many trigger conditions can be observed. In the example shown in FIG. 14, ID = 101 is set as the trigger condition, and the waveform observation of the blocks from history 1 to history n is possible.

As a conventional technique of this type, a signal input from an input terminal is converted into digital data and stored in a history memory, and identification information for identifying desired waveform data is stored in a storage unit. A technique for selecting and displaying waveform data stored in the history memory based on information is known (see, for example, Patent Document 1).
Japanese Patent Laying-Open No. 2005-181182 (paragraphs 0032 to 0048, FIGS. 1 and 2)

In the conventional technology described above, when analyzing serial data of the physical layer, as described above, even if a large number of trigger conditions are stored in the history memory, each history data can be organically related. The present invention has been made in view of such a problem, and a large number of collected data related to the trigger condition cannot be observed. An object of the present invention is to provide a serial communication data waveform measuring method and apparatus capable of associating analysis and history data.

(1) According to the first aspect of the present invention, an analog signal of serial communication is acquired from various sensors, converted into digital data and stored in the history memory, and the waveform data stored in the history memory is stored in the sensor. And a step of extracting data related to the ID.
(2) The invention described in claim 2 is a measuring means for taking in analog signals of serial communication from various sensors and converting them into digital data, a history memory for storing digital data from the measuring means, and a history memory Extraction means for extracting data related to the sensor ID from the stored waveform data.
(3) The invention according to claim 3 is a data processing means for performing predetermined data processing on the data extracted by the extraction means, and a display means for displaying the data processed by the data processing means, Are further provided.
(4) The invention according to claim 4 is characterized in that the data processing means includes at least a function of displaying a trend on the data extracted by the extracting means, a function of performing arithmetic processing, and a function of displaying a list of data values. It has one function.
(5) The invention according to claim 5 is characterized in that the measuring means captures a plurality of analog signals using the sensor ID as a trigger condition.
(6) The invention according to claim 6 further includes display control means for designating specific history data of the displayed waveform and displaying the history data and the original analog signal in association with each other on the display means. It is characterized by that. Here, the history data refers to measurement data at a specific time on the time series of the trend-displayed signal.
(7) In the invention according to claim 7, when there is no restriction on the data size, after all analog data on the serial bus is acquired, all trigger conditions are detected, data is extracted, and trends are applied to them. Display control means for displaying at least one of the display, the calculation processing result, and the list display of data values on the display means is further provided.

(1) According to the first aspect of the present invention, an analog signal for serial communication can be taken in and measured as serial data.
(2) According to the invention described in claim 2, it is possible to take in an analog signal of serial communication and measure it as serial waveform data.
(3) According to the invention described in claim 3, the extracted data can be subjected to predetermined data processing and displayed on the display means.
(4) According to the invention described in claim 4, the data processing means is provided with at least one of a trend display function, a calculation processing function, and a data value list display function. As a result, information related to serial communication data can be displayed.
(5) According to the fifth aspect of the present invention, it is possible to display a trend of signals relating to the same ID by taking in a plurality of analog signals using the sensor ID as a trigger condition.
(6) According to the invention described in claim 6, the trend display of the signal related to the same ID is performed on the display means, and the original analog signal related to the specific history in the trend display is displayed in association with the trend display. Can be used for failure analysis.
(7) According to the seventh aspect of the invention, it is possible to display a trend display of a plurality of different types of signals.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. FIG. 1 is a block diagram showing an embodiment of the present invention. In the figure, reference numeral 1 denotes measurement means for taking in analog signals for serial communication from various sensors (not shown) and converting them into digital data. Examples of various sensors include a temperature sensor, a speed sensor, and a rotation sensor. 2 is a history memory for storing digital data from the measuring means 1, 3 is an extracting means for extracting data related to a trigger condition indicated by an ID for the data stored in the history memory 2, and the extracted Control means comprising data processing means for performing predetermined data processing on the received data and analysis means for performing predetermined analysis. As the control means 3, for example, a CPU is used. A memory 4 is connected to the control means 3 and stores various information.

  Reference numeral 5 denotes display means for displaying data processed by the data processing means. As the display means 5, for example, a CRT or a liquid crystal display is used. Reference numeral 6 denotes input means for inputting various commands to the control means 3. As the input means 6, for example, a keyboard or a mouse is used, and an ID or the like for determining the trigger condition is input. In the control means 3, 3a is an extraction means for extracting data (sensor measurement values) related to the sensor ID from the data stored in the history memory 2, and 3b is for the data extracted by the extraction means 3a. Arithmetic means 3c for performing predetermined arithmetic processing is analysis means for performing predetermined analysis using the result of arithmetic processing by the arithmetic means 3b. The calculation result by the calculation means 3b and / or the analysis result by the analysis means 3c are displayed on the display means 5. The memory 4 is used not only as a work area for calculation by the control means 3 but also has a function of temporarily storing image data displayed on the display means 5. The operation of the apparatus configured as described above will be described as follows.

  Serial signals output by various sensors (not shown) are input to the measuring means 1. The measuring means 1 converts the input serial signal into digital data by an A / D converter using information identifying the sensor, ID (see FIG. 10) as a trigger condition, and then stores it in the history memory 2 together with the trigger time. Let In the history memory 2, the read measurement data are sequentially stored.

  The extraction unit 3 a extracts data related to the ID from the waveform data stored in the history memory 2. The calculation means 3b performs a predetermined calculation process on the extracted data. For example, when the extracted data is speed data, a differentiation process is performed on the speed data. Acceleration is calculated by differentiating speed with time. The analysis unit 3c analyzes the data obtained in this way, and displays the analysis result on the display unit 5 together with the calculation result by the calculation unit 3b. Here, as an analysis content of the analysis means 3c, for example, it may be determined whether or not measured data is within a predetermined allowable range. The operator looks at the result displayed on the display means 5 and performs a failure analysis of a location where a sensor is attached, for example. In the case of CAN, data (temperature, rotation speed, etc.) relating to the vehicle is acquired, so that it is possible to grasp the state of a predetermined part of the vehicle.

  FIG. 2 is an explanatory diagram of an operation for extracting a data field related to a trigger condition from analog waveforms taken in a plurality of histories. Here, the case of the rotational speed is taken as an example. A trigger is applied with ID = 101, and history 1, history 2, and history 3 are extracted in this order. In the case of history 1, the number of revolutions is 300 rpm, in the case of history 2, it is 1200 rpm, and in the case of history 3, it is 7000 rpm.

  Then, the control means 3 creates a list of data related to the trigger condition from this extraction result, and stores the result in the memory 4. FIG. 3 shows the extracted data. The extracted data includes a history number, a trigger time, and a data value (here, the number of revolutions) as shown in the figure. As for the history number, 0 indicates the current state, -1 indicates the state immediately before that, and -2 indicates the state immediately before the two. That is, data is sequentially extracted retroactively. For example, in the case of history-2, the trigger time is September 13, 2005, 10:10, 15.150 seconds, and the data value is 7000 rpm.

As shown in FIG. 3, the following data can be processed by extracting the data.
1) Displaying a trend 2) Displaying a list of data values 3) Performing various arithmetic processes FIG. 4 is a diagram showing an example of a trend waveform. In the figure, the vertical axis represents the number of rotations and the horizontal axis represents the measurement time. The control means 3 plots the measurement data for each measurement time (each history) from the extracted data shown in FIG. In this trend display, the current time is set as history 0, and data is displayed retroactively such as history-1 and history-2. By performing such trend display, it is possible to associate history data.

  FIG. 5 is a diagram illustrating a first calculation example for the extracted data. The data values shown in the figure show the case of speed. The calculating means 3b performs a differentiation operation on the acquired speed data and stores the result. From the figure, for example, when the speed data is 10 (m / s), the rate of change of the speed data with time is subjected to differential calculation processing, and the calculation result 20 m / s ^ 2 is stored in the memory 4 as acceleration. Is stored as a table shown in FIG. FIG. 6 is a diagram showing a second calculation example for the extracted data. In this case, the measurement data is temperature, and the calculation means 3b performs conversion for the absolute temperature from the obtained data value (° C.) and stores the result in the memory 4 as a table.

  The conversion formula for absolute temperature is expressed as Celsius temperature + 273.15. For example, in the case of history number-2, the measured temperature is 50 ° C. and the absolute temperature is 323.15. Since the tables shown in FIGS. 3, 5 and 6 are stored in the memory 4, the control means 3 can read these tables and display them on the display means 5. The operator can make a fault diagnosis of a specific part of the vehicle, for example, by referring to the trend display as shown in FIG. 4 displayed on the display means 5 and the tables as shown in FIGS. it can. Instead of the operator, failure analysis or the like can be performed based on the data obtained by the analysis means 3c, and the result can be displayed on the display means 5. For example, analysis of data related to the trigger condition ( For example, it is possible to make an association between history data and whether or not the extracted data is within a predetermined allowable range.

  According to the present invention, focusing on the data value at a certain time of the waveform data extracted from the history data, the detailed analysis (zoom cursor measurement, etc.) is performed by associating the analog signal that is the source of the data. Can do.

  FIG. 7 is a diagram showing the association between the data of interest during waveform display and the analog waveform display. The figure shows an example in which the number of rotations is used as waveform data. The trend display of the rotational speed is the same as that shown in FIG. 4, and the vertical axis represents the rotational speed (rpm) and the horizontal axis represents the measurement time (t). Assume that the data to be analyzed is history N. The operator inputs the history N from the input means 6 and presses the start button.

  When the control means 3 recognizes that the history N has been selected and that the start button has been pressed, the control means 3 drives the analysis means 3 c and becomes the source of the data of interest related to the history N stored in the memory 4. Data is read and detailed analysis is performed. Then, the analysis result is displayed on the display means 5 instead of the trend display. In the figure, digital data corresponding to the analog signal of the physical layer of history N is displayed. The operator performs cursor measurement on the analog signal and confirms the voltage value. Here, cursor measurement refers to inputting measured digital data into a digital oscilloscope and measuring waveform data with the digital oscilloscope. For example, when one division in the vertical direction of the scale is 10 v, it is confirmed what v is the peak value of the analog waveform data. If one division in the horizontal direction of the scale is 100 ns, it is confirmed how many ns the waveform width is. Then, an operation such as observing the state of the rising portion of the waveform using the zoom function is performed. When the analysis of the history N is completed, the input means 6 is operated to return to the trend display, and data (history I (I = 0 to N)) to be analyzed is selected again.

  As described above, according to the present invention, by extracting the data contents related to the trigger condition from the analog signals taken in a plurality of histories, the trend display, calculation processing, and list display of the data contents can be performed from the analog waveform. Can do. In addition, by preparing a mechanism for displaying the trend display of the extracted data in association with the original analog waveform data, the analog waveform of the trend data value can be easily analyzed in detail. In the above-described embodiment, the case of performing trend display, calculation processing, and list display of data values has been described. However, the object of the present invention can be achieved by executing at least one of these processing. it can.

  In the present invention, the case where CAN is used as the serial bus has been described. However, the present invention is not limited to this, and can be applied to other serial buses when analysis of the physical layer is required.

  In the above-described embodiment, the case where the measurement time (capture time) is limited has been described. However, when the measurement time is not limited, all the trigger conditions, IDs can be detected, data can be extracted, and trend display / arithmetic processing / list display can be performed on them. Then, an analog signal related to the extracted data can be easily analyzed.

  FIG. 8 is a diagram showing an example in which data related to the trigger condition is extracted from all analog signals at a desired measurement time and displayed as an associated trend. The upper row shows the analog data of the physical layer, and the lower row shows the trend waveform. It is assumed that the serial signal sent from the serial bus is rotation speed, acceleration, and temperature. These serial signals including the rotational speed, acceleration and temperature are measured by the measuring means 1 and stored in the history memory 2 as digital data. Here, it is assumed that the trigger condition for rotational speed is A, the trigger condition for acceleration is B, and the trigger condition for temperature is C. When these trigger conditions are input from the input means 6 to the control means 3, the extraction means 3a of the control means 3 detects the rotation speed under the trigger condition A, the acceleration under the trigger condition B, and the temperature under the trigger condition C, and displays them. Display on means 5. As shown in the figure, first, the rotational speed is extracted, then the acceleration is extracted, and then the temperature is extracted.

  Thereafter, by repeating this repetition for the measurement time, as shown in the figure, the trend display of the rotational speed, acceleration, and temperature is performed. In this case, the rotation speed, acceleration, and temperature are sampled by shifting the time slightly, and are trend-displayed in time series. By observing these displays, the operator can compare the rotation speed, acceleration, and temperature, and can determine which measurement value is out of the reference value when performing failure analysis. .

It is a block diagram which shows one embodiment of this invention. It is explanatory drawing of the operation | movement which extracts the data field relevant to a trigger condition. It is a figure which shows the extracted data. It is a figure which shows a trend waveform example. It is a figure which shows the 1st example of calculation with respect to the extracted data. It is a figure which shows the 2nd example of calculation with respect to the extracted data. It is a figure which shows the correlation of the attention data in a waveform display, and an analog waveform display. It is a figure which shows the example which extracted the data relevant to trigger conditions from all the analog signals in desired measurement time, linked | related, and displayed the trend. It is a figure which shows the synchronous observation example of the digital data and analog waveform on a physical layer. It is a figure which shows the example of a standard format of the data frame of a CAN rule. It is a figure which shows the specific example of a data frame. It is a figure which shows the example which a some trigger condition generate | occur | produces by long-time observation. It is explanatory drawing of a history memory function. It is a figure which shows the image which takes in several trigger conditions.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Measurement means 2 History memory 3 Control means 3a Extraction means 3b Calculation means 3c Analysis means 4 Memory 5 Display means 6 Input means

Claims (7)

Taking the analog signal of serial communication from various sensors, converting it into digital data and storing it in the history memory,
Extracting data related to the sensor ID from the waveform data stored in the history memory;
A method for measuring the waveform of serial communication data, comprising: Measuring means that takes in analog signals of serial communication from various sensors and converts them into digital data;
A history memory for storing digital data from the measuring means;
Extracting means for extracting data related to the sensor ID from the waveform data stored in the history memory;
A serial communication data waveform measuring apparatus comprising: Data processing means for performing predetermined data processing on the data extracted by the extraction means;
Display means for displaying data processed by the data processing means;
3. The serial communication data waveform measuring apparatus according to claim 2, further comprising:   The data processing unit has at least one of a function of displaying a trend with respect to data extracted by the extracting unit, a function of performing arithmetic processing, and a function of displaying a list of data values. Item 4. The serial communication data waveform measuring apparatus according to Item 3.   5. The serial communication data waveform measuring apparatus according to claim 2, wherein the measuring unit captures a plurality of analog signals using a sensor ID as a trigger condition. 6.   4. The display control means according to claim 3, further comprising display control means for designating specific history data of the displayed waveform and displaying the history data and the original analog signal in association with each other on the display means. Waveform measurement device for serial communication data.   If there is no limit on the data size, after acquiring all analog data on the serial bus, all trigger conditions are detected, data is extracted, and trend display, calculation processing results, and data value list display are performed for them. 4. The serial communication data waveform measuring apparatus according to claim 3, further comprising display control means for displaying at least one of the display means on the display means.

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