JP4655608B2 - Sampling data analysis device, sampling data analysis method, program - Google Patents

Description

  The present invention relates to a sampling data analysis apparatus, and more particularly to an apparatus suitable for data display when data sampling is performed for a relatively long period.

  The logic analyzer is a sampling data analyzer having a function of displaying a change state of digital data output from a connected digital device on a display. By using the logic analyzer, the user can analyze the change state of the digital data displayed on the display and check the operation state of the digital device.

  Conventionally, the sampling period of digital data to the logic analyzer depends on the capacity of the digital data storage means, the compression rate, and the like, but measurement in a relatively short time of several seconds to several tens of seconds has been the mainstream. Conventionally, when the phenomenon is not reproduced by sampling in such a short time, sampling on a daily basis is necessary. However, the daily measurement results in an enormous amount of data and requires a large-capacity storage device. Further, in order to check the state of change of digital data within the sampling period, the entire digital data sampled from the start to the end of sampling is displayed on one screen. However, when the sampling period such as daily unit is long, it is difficult to display the change state of the sampling data on one screen so as to be visible due to the limit of the number of pixels of the display.

  In order to solve this problem, there has been proposed a reduction display method that enables display of the entire sampling data by performing a calculation process for reduction so that there is no missing change in the sampling data (for example, Patent Document 1). .

JP-A-2-261457

  However, since the conventional reduced display method performs the arithmetic processing for reduction on all collected sampling data, it takes a long time for the arithmetic processing. In particular, when the sampling period is long, the sampling data has an enormous amount of data of several gigabytes, so that the processing time is prominent. Along with the lengthening of the arithmetic processing, it takes a long time to display the change state of the digital data in the entire sampling period.

  The present invention has been made to solve the above-described problems, and an object of the present invention is to provide a sampling data analysis apparatus capable of displaying a relatively large amount of sampling data at a higher speed. It is in.

In order to achieve the above object, a sampling data analyzer according to the present invention inputs a series of sampling data sampled from the start to the end of sampling, and samples the entire sampling period or a part thereof. In a sampling data analysis apparatus that displays a data change state on one screen, a series of input sampling data is divided into a plurality of blocks including one or a plurality of sampling data, and the data in the series of sampling data Index information generating means for generating index information including block specifying information and status information indicating the state of change in the value of sampling data in the block in association with each block, and sampling data and index information in the storage means Data to write The index information generating means is included in each block such that when the series of sampling data is divided into blocks, as the sampling time elapses, the number of sampling data constituting the immediately preceding block becomes the same or larger. The number of sampling data to be determined is determined.

  Further, the index information generating means blocks a series of sampling data according to an output of a preset function equation, which receives an elapsed time from the start of sampling and outputs the number of sampling data constituting each block. It is characterized by dividing.

  The function formula is a monotonically increasing function.

  The function formula includes an arc tangent function.

  In addition, the apparatus has user setting information storage means for storing block division information that can specify the number of sampling data constituting each block input by a user, and the index information generation means divides a series of sampling data into blocks. In this case, the number of sampling data of each block is determined with reference to the block division information stored in the user setting information storage means.

Further, the present invention is characterized by having display processing means for reading each index information stored in the storage means and displaying the state of time series change of the sampling data of the whole sampling period or a part thereof in one screen.

  Each of the sampling data analysis devices is a logic analyzer.

The program according to the present invention is a computer that inputs a series of sampling data measured from the start to the end of sampling, and displays a change state of the sampling data in the entire sampling period or a part thereof on one screen. The input series of sampling data is divided into a plurality of blocks including one or a plurality of sampling data, and the position specifying information of the block in the series of sampling data and the state of change in the value of the sampling data in the block Index information generating means for generating index information including state information corresponding to each block, functioning as data output means for writing sampling data and index information into the storage means, and the index information generating means Day The time of block division, and determines the number of sampling data of each block as the sampling number of data and becomes equal or more constituting the block immediately before as the sampling time has elapsed.

In addition , when the input series of sampling data is divided into a plurality of blocks including one or a plurality of sampling data, the position specifying information of the block in the series of sampling data and the change in the value of the sampling data in the block Index information including the state information indicating the state of the data is read out from the storage means for storing corresponding to each block, and the state of the time series change of the sampling data of the entire sampling period or a part thereof is displayed on one screen. It functions as a display processing means.

The sampling data analysis method according to the present invention inputs a series of sampling data sampled from the start to the end of sampling, and displays the change state of the sampling data for the entire sampling period or a part thereof on one screen. Implemented in the sampling data analyzer, and divides the input series of sampling data into a plurality of blocks including one or a plurality of sampling data, and the position specifying information of the block in the series of sampling data and the block An index information generating step for generating index information including state information indicating a state of change in the value of the sampling data in association with each block; and reading out the position specifying information and the state information from each of the index information to obtain the entire sampling period or Last Minute As the saw including a display step of the state of the time series change of a portion of the sampling data to display on one screen, the index information generation step, when block division of a series of sampled data, the sampling time has elapsed The number of sampling data of each block is determined so as to be the same as or larger than the number of sampling data constituting each block .

  According to the present invention, a series of sampling data is divided into a plurality of blocks, and index information including sampling data values and the like constituting the block is generated corresponding to each block. By performing display processing with reference to a small amount of index information, it is possible to realize faster display processing.

  Further, when the series of sampling data is divided into blocks, the number of sampling data included in each block is determined so as to be the same as or larger than the number of sampling data constituting the immediately preceding block as the sampling time elapses. In other words, since the index information is generated so that the index information is relatively large at the start of sampling and relatively small or constant as time elapses, a display form suitable for each of the numbers of sampling data is appropriate. Thus, the change state of the sampling data can be displayed on one screen.

  Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings.

  FIG. 1 is a hardware configuration diagram showing a logic analyzer which is an embodiment of a sampling data analysis apparatus according to the present invention. In FIG. 1, a digital device 4 serving as a measurement target machine equipped with a digital circuit 2 is provided, and a data collection device 6 and a personal computer (PC) 8 corresponding to a logic analyzer are shown. The data collection device 6 collects digital data output from the digital circuit 2 via the probe 10 at a sampling interval of a fixed period and temporarily stores it inside. The data collection device 6 in the present embodiment has 26 channels, and the data from each channel is collected into a 4-byte length and output as digital data. The PC 8 compresses the digital data collected by the data collection device 6 and output via the general-purpose interface 12 to a variable length, and then stores it in the hard disk drive (HDD) 14 and displays it on the display 16.

  FIG. 2 is a block diagram showing the PC 8 in the present embodiment. FIG. 2 shows a data collection processing unit 20, a display processing unit 30, and a data storage unit 32. The PC 8 performs the digital data compression process as described above in order to reduce the amount of stored data. In this embodiment, the cluster of digital data after compression is referred to as a “cell”. The process of compressing the data and generating a cell is performed by the cell generation unit 24 included in the data collection processing unit 20. Further, the PC 8 divides the block into one or a plurality of digital data and generates index information to be described later corresponding to each block in order to speed up the display processing of the digital data irrespective of the compression processing. To do. The process of generating index information associated with each block is performed by an index information generation unit 26 included in the data collection processing unit 20. The digital data cellized by the cell generation unit 24 and the index information generated by the index information generation unit 26 are accumulated in the data storage unit 32. This is performed by the output unit 28.

  Although details will be described later, in the present embodiment, the sampling data of the entire sampling period is displayed on one screen with reference to various data included in the index information generated by the index information generating unit 26. The display processing on the display 16 is performed by the display processing unit 30. Note that FIG. 2 shows only the characteristic components in the present embodiment, and omits the components that realize the processing functions inherent in the logic analyzer.

  As described above, since the measurement target device of the logic analyzer is the digital device 4, in the present embodiment, the sampling data and the digital data are synonymous. The amount of fixed-length data sampled from one channel is determined by the sampling period and the sampling period. In this embodiment, sampling is performed at a predetermined fixed period. The amount shall increase or decrease.

  The main processing in the PC 8 of this embodiment can be broadly divided into data collection processing executed at the time of data sampling and display processing for displaying the collected data. First, the data collection processing in the present embodiment will be described with reference to FIGS. 3 to 5 together with the relationship between the digital data collected by the data collection device 6, the cells, and the index information. Note that the digital data is output from the 26 channels from the data collection device 6, but since the processing is equivalent to the output from each channel, only one channel is focused here for the sake of simplicity of explanation. I will explain.

  The data collection device 6 collects the digital data output from the digital circuit 2 every sampling period from the start of sampling, temporarily stores it inside, and transmits it to the PC 8 while synchronizing with the PC 8.

  In the PC 8, when the data input unit 22 receives the digital data sent from the data collection device 6 (step 101), the cell generation unit 24 executes a compression process (step 102). If the value of each sampling data sequentially input is the same as the previous data value, the cell generation unit 24 in the present embodiment executes a compression process using an existing technique of including it in the same cell. As described above, each cell is generated in a variable length with the same continuous sampling data. As shown conceptually in FIG. 4, sequential numbers are assigned to the generated cells in order from the top. .

  When the cell is generated, the index information generation unit 26 divides the series of sampling data into a plurality of blocks each including one to a plurality of sampling data, and generates index information corresponding to each block (step) 103). The number of digital data corresponding to the above-described cell is determined each time depending on the digital data value, whereas the number of digital data included in each block associated with the index information is determined according to a preset rule. . In FIG. 4, the number of digital data of 3, 4, 5,... Is determined according to the rule, and the head positions 1, 4, 8, 12,. By setting to, it is related to continuous digital data.

  Although the rule for dividing the block of continuous digital data will be described later, as is apparent from FIG. 4, the number of digital data associated with the cell and the digital data constituting the block to which the index information is attached are described. The number is determined independently. Thus, one cell may be associated with a plurality of index information, while one index information may be associated with a plurality of cells. Further, as illustrated in FIG. 4, the boundary of digital data forming each cell does not necessarily match the boundary of digital data forming each block to which index information is attached.

  Here, the data structure of the index information will be described. In the present embodiment, the index information is composed of data such as a sample position, a cell position, a sample position cell, and a change in intra-block data. In the present embodiment, as shown in FIG. 4, sequential numbers are assigned to the sampling data, the cell, and the index information in the order of arrangement. In FIG. 5, “sample position” is position specifying information of the block that associates the block existing in a series of sampling data with the index information. In the present embodiment, the sequential number of the digital data located at the head of the block associated with this index information is set here. In the example shown in FIG. 4, sequential numbers of digital data of 1, 4, 8, 12,... Are set here. Note that the block position specifying information only needs to be able to specify a position in a series of sampling data. Therefore, the combination of the arrangement order indicated by the sequential number in FIG. 4 and the number of sampling data is not limited to “sample position”. It may be the information.

  “Cell position” is a sequential number of a cell included in the index information. Taking FIG. 4 as an example, sequential numbers of cells 1, 1, 2, 3,... Are set here.

  The “sample position cell” is a data value of a cell associated with this index information. Since the cells are formed by compressing continuous identical data, the values of the digital data forming the cells are all the same. Therefore, the “cell data value” is synonymous with the value of the digital data forming the cell. A block (digital data group) associated with index information may include a plurality of cells. That is, since there are cases where data values of a plurality of different cells are included in one block, in consideration of this case, the “sample position cell” is the digital data located at the head of the block associated with this index information. It may be defined as a value. Or you may control the production | generation process of a cell or index information so that the boundary of a cell and index information may correspond.

  In the “change in data in block”, state information indicating a change state of each bit value of the digital data in the block associated with the index information is set here. In the present embodiment, the state information is represented by the presence or absence of a change that can be expressed as flag information. First, the presence / absence of a change can be determined by the difference in the digital data value included in the block with respect to the “sample position cell” set in the immediately preceding index information. For example, when “0” is set in the “sample position cell” of the immediately preceding index information, if the digital data value at the head position of the block is “0”, it is determined that there is no change and “0” is set. If “1”, it is determined that there is a change and “1” is set. Since the immediately preceding index information does not exist in the head index information, all “0” is set as the initial value for “change in data in block”. Second, it can be obtained by exclusive OR of digital data included in the block. As described above, a block to which index information is added may include a plurality of cells. In this case, the bit of the first digital data included in the block in the first determination is used. This is because even if the value and the bit value of the “sample position cell” set in the immediately preceding index information coincide, the bit value may change in the middle of the block. Therefore, a change in the bit value can be detected by taking an exclusive OR with the bit value of the immediately preceding digital data in the block. As described above, “intra-block data change” represents information regarding the presence or absence of a change in the digital data value.

  Since the number of sampling data is large, the “sample position” is 8 bytes long, and since the “cell position” is compressed, it is determined that the sequential number can be expressed by 4 bytes and is 4 bytes long. The “sample position cell” and “change in data in block” are 4 bytes in length in accordance with the digital data size.

  Thereafter, the data output unit 28 accumulates the generated cell and index information in the data storage unit 32 (step 104). In FIG. 3, for convenience, four processing steps of collecting digital data, generating a cell, subsequently generating index information, and accumulating the cell and index information are simply shown as a series of processes. . However, as is clear from the above description, since the number of pieces of digital data for generating the cell and the index information is determined independently, the actual data collection process is performed in steps 101 to 104 from the start to the end of data sampling. The cell and the index information are generated by executing the process shown in (3) as appropriate.

  Next, an example of a method for determining the sampling data position to which the index information is associated according to a preset rule from a series of collected digital data will be described with reference to FIG. When generating the index information, the sequential number of the sampling data located at the head of the corresponding block is set as the “sample position” of the index information. Accordingly, in the following description, the association of the index information with the corresponding block by the generation of the index information and the data setting to the “sample position” is also referred to as “index information addition”.

  In this embodiment, when a series of sampling data is divided into blocks, the sampling data number of each block is determined so that the number of sampling data constituting the immediately preceding block becomes the same or larger as the sampling time elapses. It is a feature.

  FIG. 6 shows function model formulas used when determining the index information addition interval. The horizontal axis is a time axis indicating the passage of time since the start of sampling, and the vertical axis is the index information addition interval.

  Among these, FIG. 6A shows an arc tangent function (atan curve) as a function model expression used when determining the index information addition interval. This arc tangent function takes as input the elapsed time (t) from the start of sampling and outputs the addition interval (y) of index information constituting each block. Since the sampling interval of the digital data in the present embodiment is a fixed period, the index information addition interval is synonymous with the number of sampling data constituting each block. That is, y = the number of sampling data.

  Referring to FIG. 6 (a), as apparent from the characteristics of the atan curve, the output value (index addition interval) y immediately after the start of sampling is a small value, so the index information addition interval is short, and as time elapses. The additional interval tends to increase. Further, when the atan curve approaches the asymptotic line represented by A * π / 2 as time elapses, the additional intervals thereafter become substantially uniform in a long state. In this way, by adopting the arctangent function, the number of digital data composing each block is not uniform, it is increased with the passage of time from the start of sampling, and almost evenly after a certain amount of time has passed. It is trying to become. In addition, when determining an index information addition interval, when using an atan curve whose value changes continuously, “a certain degree” means that the atan curve is almost parallel to the asymptotic line. It is only expressed in terms of degree, and it is not possible to define a clear point of time unlike the case of using the numerical table described later.

  As described above, in this embodiment, a series of sampling data is divided into blocks, and index information is added to each block. In the present embodiment, the arctangent function equation is set as y = A · atan (t). This A is a constant. When the value of A is increased, the increasing tendency of the additional interval increases rapidly as time elapses, and the additional interval is increased when it becomes almost equal. In the present embodiment, an arctangent function is used as a preset rule. However, the constant A may be configured to be set by a user from an input setting unit (not shown).

  In the present embodiment, the arc tangent function is shown as an optimal example of the index information addition interval determination method. In addition to this, the function formulas as shown in FIGS. 6B to 6D are adopted. Also good. 6B is a log function equation, FIG. 6C is a function equation combining a linear function equation and a constant n, and FIG. 6D is a linear function equation.

  In the atan function equation shown in FIG. 6A, the slope of the line becomes gentle with the passage of time, so that the index information addition interval has a moderate growth rate with the passage of time, and a certain constant. Asymptotically approach the interval. According to the log function equation shown in FIG. 6B, the index addition interval is not asymptotic, although the slope of the line becomes gentle with the passage of time as in FIG. 6B. 6 (c) and 6 (d) are monotonically increasing functions that monotonically increase without decreasing as compared to FIGS. 6 (a) and 6 (b). According to the functional expression shown in FIG. 6C, the index addition interval rises constantly with the passage of time, and becomes constant after reaching the predetermined time B. In the case of this model, the above-mentioned “some degree” can be clearly set as time B. According to the functional expression shown in FIG. 6D, the index addition interval only increases with time. In the case of this model, the “some degree” described above is not set.

  Thus, in any functional expression, as the sampling time elapses, the number of sampling data in each block can be determined so as to be the same as or larger than the number of sampling data constituting the immediately preceding block.

  In the present embodiment, block division information that can specify the number of sampling data constituting each block without using a function expression may be set. As an example of the storage means for the set block division information, an index information addition interval setting table is shown in FIG. The data analyst sets the index addition interval and the sequential number of sampling data to which the addition interval is applied in the index information addition interval setting table before starting the collection of digital data. According to the example of FIG. 7, since the addition interval between the sequential numbers 1 to 10 is 5, the index information is added to the 1st and 6th sampling data. Since the addition interval between the sequential numbers 11 to 50 is 10, it is added to the 11th, 21st, 31st,...

  In this way, the number of sampling data of each block can be determined without using a function equation. In this case, the index information addition interval increases stepwise with time. The PC 8 may be configured to have an index information addition interval setting table in which data is set in advance. However, if the setting contents in the table can be updated, means for updating the data is provided. I need it.

  Next, display processing in the present embodiment will be described with reference to FIGS.

  The display processing unit 30 reads the index information from the data storage unit 32 in accordance with an input instruction from the user after the sampling is completed (step 201). In this embodiment, since all channels and all sampling data are displayed on one screen, each of the variables n and N indicating the index information number and the channel number assigned sequentially is initialized (step 202). Then, the display processing unit 30 confirms whether there is a change in the sampling data value by performing the following comparison process (step 203). First, whether or not there is a change in the data value between the index information by comparing each value of the “sample position cell” between the index information (index (n + 1)) and the immediately preceding index information (index (n)) Check out. Further, by checking each bit value of “change in data in block” of the index information (index (n + 1)), it is checked whether there is a change in data value in the corresponding block. As a result, when it is determined that there is no change (step 204), when the value of the Nth bit of the sampling data is high, it is rendered high, and when it is low, it is rendered on the screen (step 205-205). 207). On the other hand, if it is determined in step 204 that there has been a change, an indefinite symbol is drawn on the screen (step 208).

  Next, the channel number is incremented by 1 (step 209). When the above processing is completed for all channels (26 channels in the present embodiment) (step 210), the index information number is subsequently incremented by one. (Step 211), the above-described processing (Steps 203 to 211) is repeated with reference to the next index information, and when all the index information is processed (Step 212), the display processing in the present embodiment ends. .

  FIG. 9 shows an example of a screen displayed on the display 16 by the display process. The vertical axis indicates the channel number. In the present embodiment, only the state change of the 1-bit sampling data signal 80 of one channel (CHm) is shown for convenience. Since the number of channels of the digital device 4 that is the measurement target device is known, it is easy to display all the channels on the vertical axis from the number of pixels of the display 16, the number of channels, and the digital data size. On the other hand, the horizontal axis indicates the index information number. Since the display processing unit 30 displays the time-series change state of the sampling data, the horizontal axis represents the passage of time, but the number of sampling data included in the block corresponding to each index information is not constant. Therefore, as conceptually shown in FIG. 9, the width of the index information is displayed in accordance with the number of sampling data. Since the sampled period length is also clear, it is easy to display the entire sampling period so as to fit on the horizontal axis. In addition, when the addition interval of index information is determined using FIG.6 (d), it becomes equal intervals.

  In FIG. 9, the high signal 82 is drawn by the process in step 206, and the low signal 84 is drawn by the process in step 207. Then, when there is a change in the sampling data value in the block to which the index information is added or in relation to the immediately preceding index information, the display portion of the corresponding index information is displayed with an indefinite symbol 86. In this embodiment, the indefinite symbol 86 is displayed by hatching as shown in FIG. Of course, another symbol may be used as an indefinite symbol, or the data value may be changed so as to be visually recognized by changing the color or the like from another portion. In this way, by drawing the corresponding part with the indefinite symbol 86, the data analyst can clearly recognize the part (time zone) where the sampling data value has changed.

  Further, in the present embodiment, the sampling data of the entire sampling period is used by using the index information with a relatively small amount of data obtained by grouping the sampling data without using the measured data or the compressed data (cell). Since the state change is displayed, the display process can be performed at higher speed. Further, the state of change of sampling data, “High”, “Low”, or “Undefined” is determined by comparison processing with “sample position data” of the immediately preceding index information or “intra-block data change” without performing arithmetic processing. Therefore, even in this respect, further increase in speed can be realized. In this embodiment, the entire sampling period is set as the display target period, but only a partial period can be displayed.

  By the way, in the present embodiment, when displaying the state change of the sampling data for the entire sampling period, the state is displayed as “undefined” by the undefined symbol 86 without clearly displaying the transition of the change. Displaying in the state of “undefined” may be considered as not displaying the state of change accurately. However, even if it is desired to clearly display a change in the state of the entire digital data collected over a long period of time, considering the number of pixels of the display 16 and the like, the display of each digital data is assigned to represent the change in state. There are only a few pixels that can be shaken. As a result, when the sampling period is long, there is no visual difference between a clear display of the state of change and an indefinite display. For this reason, it is considered that it is not inconvenient to display the data value change state on the screen in the state of “indefinite”.

  However, on the other hand, since the sampling period is as short as 10 seconds and the number of sampling data is small, there may be a case where the change state of the data value can be clearly displayed on the screen. Even in such a case, it is not appropriate to display the state “undefined”. Therefore, in this embodiment, the index information addition interval is made variable. Hereinafter, in the present embodiment, the number of sampling data constituting the block corresponding to each index information is set to be the same as or more than the number of sampling data constituting the immediately preceding block as the sampling time elapses, particularly the above As described above, by using the atan curve shown in FIG. 6A, immediately after the start of sampling, the index information addition interval is shortened and gradually increased, and becomes almost uniform after a certain period of time. The reason for this will be described.

  For example, when the sampling period is short, sampling ends immediately after starting, but in this embodiment, the index information addition interval immediately after the start of sampling is shortened, so that a relatively large number of indexes are obtained. Information can be generated. In other words, the number of sampling data included in one block is relatively reduced. For this reason, even when the change state of the sampling data is displayed on the screen using the index information, it can be displayed in a state close to the case where the sampling data or the cell is displayed. Thus, the change state of the data value (High or Low Can be clearly displayed on the screen.

  On the other hand, when the sampling period is long, the number of sampling data included in one block is reduced as in the case of a short period so that the change state of the data value can be clearly displayed on the screen. As described above, the state of the change can be displayed only to a point due to the limitation on the number of pixels of the display 16 or the like. For this reason, it is not very effective to always reduce the number of sampling data included in one block, but it also causes an increase in processing load due to an increase in the quantity of index information, which in turn adversely affects the speed of display processing. . For this reason, in this embodiment, even if the change state of the index information can be recognized only as “indefinite” as time passes, the change state is considered in view of the display form of the change state on one screen. It was judged that there was no problem as long as it was possible to recognize the presence or absence. As a result, by increasing the index information addition interval relatively with time, the number of generated index information is suppressed as much as possible, thereby preventing an increase in the amount of data and reducing the processing time required for screen display. I tried to plan. That is, according to the present embodiment, it is possible to realize high-speed display processing.

  In this embodiment, the logic analyzer is divided into the data collection device 6 and the PC 8 separately. However, the data collection function of the data collection device 6 and the function of holding the sampling data itself are provided in the PC 8. By providing it, the data collection device 6 and the PC 8 may be integrally formed, and the logic analyzer may be formed by the PC 8 alone.

  Further, in the present embodiment, the case where the sampling data analysis apparatus according to the present invention is applied to a logic analyzer that analyzes digital data has been described as an example. A logic analyzer generally has both the data collection processing function and the data display processing function described above, but each processing function can be implemented in a separate computer. It can also be applied to devices other than logic analyzers.

It is a hardware block diagram which showed the logic analyzer which is one Embodiment of the sampling data analyzer which concerns on this invention. It is the block block diagram which showed the logic analyzer in this Embodiment. It is the flowchart which showed the data collection process in this Embodiment. It is the conceptual diagram which showed the relationship between the sampling data in this Embodiment, a cell, and index information. It is the figure which showed the data structural example of the index information in this Embodiment. It is the conceptual diagram which showed the function type used when determining the addition space | interval of the index information in this Embodiment. It is the figure which showed the data structural example of the index information addition space | interval setting table in this Embodiment. It is the flowchart which showed the display process in this Embodiment. It is the figure which showed the example of the screen displayed on the display by the display process in this Embodiment.

Explanation of symbols

  2 Digital circuit, 4 Digital equipment, 6 Data collection device, 8 Personal computer (PC), 10 Probe, 12 General-purpose interface, 16 Display, 20 Data collection processing unit, 22 Data input unit, 24 Cell generation unit, 26 Index information generation Part, 28 data output part, 30 display processing part, 32 data storage part, 80 sampling data signal, 82 High signal, 84 Low signal, 86 indefinite symbol.

Claims (10)

In a sampling data analysis apparatus for inputting a series of sampling data sampled from the start to the end of sampling and displaying a change state of the sampling data of the entire sampling period or a part thereof on a single screen,
The series of input sampling data is divided into a plurality of blocks including one or a plurality of sampling data, and the position specifying information of the block in the series of sampling data and the change state of the value of the sampling data in the block are displayed. Index information generating means for generating index information including state information to be associated with each block;
Data output means for writing sampling data and index information to the storage means;
Have
The index information generating means determines the number of sampling data included in each block so that the number of sampling data constituting the immediately preceding block becomes the same or larger as the sampling time elapses when dividing a series of sampling data into blocks. A sampling data analyzer characterized by the above. The sampling data analyzer according to claim 1, wherein
The index information generating means is configured to divide a series of sampling data into blocks according to an output of a preset function equation that receives an elapsed time from the start of sampling and outputs the number of sampling data constituting each block. A sampling data analyzer characterized by the above. The sampling data analyzer according to claim 2, wherein
The sampling data analysis apparatus, wherein the function formula is a monotonically increasing function. The sampling data analyzer according to claim 2, wherein
The sampling data analysis apparatus, wherein the function formula includes an arctangent function. The sampling data analyzer according to claim 1, wherein
User setting information storage means for storing block division information that can be input by the user and that can specify the number of sampling data constituting each block;
The index information generating means determines the number of sampling data for each block with reference to block division information stored in the user setting information storage means when dividing a series of sampling data into blocks. Analysis equipment. The sampling data analyzer according to claim 1, wherein
Sampling data analysis, comprising: display processing means for reading each index information stored in the storage means and displaying a time series change state of the sampling data of the whole sampling period or a part of the sampling data on one screen. apparatus. The sampling data analyzer according to any one of claims 1 to 6,
A sampling data analyzer characterized by being a logic analyzer. A computer that inputs a series of sampling data measured from the start to the end of sampling and displays a change state of the sampling data for the entire sampling period or a part thereof on a single screen,
The series of input sampling data is divided into a plurality of blocks including one or a plurality of sampling data, and the position specifying information of the block in the series of sampling data and the change state of the value of the sampling data in the block are displayed. Index information generating means for generating index information including state information indicating corresponding to each block,
Data output means for writing sampling data and index information to the storage means;
Function as
When the index information generating means divides a series of sampling data into blocks, the sampling information number of each block is determined so as to be the same as or larger than the number of sampling data constituting the immediately preceding block as the sampling time elapses. A featured program. 9. The program according to claim 8, further comprising:
When the input series of sampling data is divided into a plurality of blocks including one or a plurality of sampling data, the position specifying information of the block in the series of sampling data and the change state of the value of the sampling data in the block Display processing including reading out index information including state information indicating the time series change of the sampling data of the entire sampling period or a part of the sampling period on a single screen. A program characterized by functioning as a means. It is implemented in a sampling data analyzer that inputs a series of sampling data sampled from the start to the end of sampling, and displays the change state of the sampling data for the entire sampling period or a part thereof on a single screen,
The series of input sampling data is divided into a plurality of blocks including one or a plurality of sampling data, and the position specifying information of the block in the series of sampling data and the change state of the value of the sampling data in the block are displayed. Index information generating step for generating index information including state information to be associated with each block;
A display step of reading the position specifying information and the state information from each index information and displaying the state of time series change of the sampling data of the entire sampling period or a part thereof on one screen,
Only including,
In the index information generation step, when dividing a series of sampling data into blocks, the sampling data number of each block is determined so as to be the same as or more than the number of sampling data constituting the immediately preceding block as the sampling time elapses. Characteristic sampling data analysis method.

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