JP4684250B2 - Waveform signal analyzer - Google Patents

Description

  The present invention relates to a waveform signal analysis apparatus that supports a diagnosis work for a network transmission failure by automatically analyzing a waveform signal flowing through a transmission line of a wired or wireless network.

  A network transmission failure occurs because the shape of the waveform signal flowing through the transmission path is disturbed for some reason, and the signal intended by the command transmission source cannot be maintained up to the command transmission destination. Therefore, network physical layer level analysis (waveform signal analysis) is required as a diagnostic work for transmission failures.

The technology related to waveform signal analysis is as follows: “In the configuration in which the period and height of the input pulse train exceeding the predetermined level are detected as significant pulses and the characteristics of these significant pulses are analyzed, the rising waveform or the rising edge of the significant pulse is analyzed. A specific part rising or falling slope detector for detecting a slope equivalent in a specific part of the falling waveform is provided, and an input pulse train is analyzed and classified by adding the output of the specific part rising or falling slope detector. Furthermore, as a specific partial rising slope detector, a rising slope detector and an intermediate rising slope detector for detecting a predetermined level and peak value of a rising waveform of a significant pulse, and a slope equivalent to a substantially middle point between the predetermined level and peak value. It was. Is proposed (Patent Document 1).
In addition, “in the logic circuit, by making a digital determination of the waveform of the leading edge and the waveform of the trailing edge of the logic signal input to the logic element, a correct determination is always made without missing a subtle step. As a technique aimed at providing a waveform distortion determination device and a waveform distortion determination method that can be performed, “the first differentiation unit 6 sends the differentiated waveform to the first rectification unit 7 and the second differentiation unit 8. The first rectification unit 7 performs half-wave rectification on the waveform from the first differentiation unit 6 and sends it to the detection unit 10, and the second differentiation unit 8 further differentiates the waveform from the first differentiation unit 6. The second rectification unit 9 performs half-wave rectification on the waveform from the second differentiation unit 8 and sends it to the detection unit 10. The detection unit 10 receives the waveform from the first rectification unit 7 and Whether the signal under measurement is normal or abnormal by counting the number of negative pulses of the waveform from the second rectifier 9 Judges. Is also proposed (Patent Document 2).

JP 10-260209 A (summary) JP 2003-14797 A (summary)

In the conventional waveform signal analysis techniques described in the above patent documents, it is possible to determine normality / abnormality for each pulse included in the waveform signal, but the state of the transmission path in which the waveform signal flows is determined. I can't do that. Therefore, in order to identify the cause of the transmission failure, there has been a problem that a person has to determine the failure location etc. based on the normal / abnormal determination result of each pulse.
The present invention has been made in order to solve the above-described problem. A waveform signal that infers the state of a transmission line based on a waveform signal used for actual communication without changing the network configuration of the transmission line. The object is to obtain an analysis device.

The waveform signal analysis apparatus according to the present invention is
A waveform signal input means for capturing a waveform signal of a message flowing through the transmission line;
Pulse extraction means for extracting a pulse signal from the waveform signal captured by the waveform signal input means;
A pulse distortion amount calculating means for calculating a distortion amount of the pulse signal extracted by the pulse extracting means;
A pulse distortion amount totaling unit that totalizes the distortion amount calculated by the pulse distortion amount calculating unit;
A transmission line diagnosis means for estimating the state of the transmission line based on the counting result of the pulse distortion amount counting means;
Output means for outputting an estimation result of the transmission path diagnosis means;
It is characterized by providing.

  Since the waveform signal analysis apparatus according to the present invention automatically performs pulse distortion analysis and inference of the transmission path state, even if there is no specialized knowledge or experience regarding the communication protocol or waveform signal, the cause of the transmission failure or the occurrence of the failure The location can be easily identified and dealt with early.

Embodiment 1 FIG.
FIG. 1 is a functional block diagram of a waveform signal analyzing apparatus 100 according to Embodiment 1 of the present invention.
The waveform signal analyzing apparatus 100 includes a waveform signal input unit 110, a pulse extraction unit 120, a pulse distortion amount calculation unit 130, a pulse distortion amount totaling unit 140, a transmission path diagnosis unit 150, and an output unit 160.

The waveform signal input unit 110 takes in the waveform signal of the message flowing through the transmission path 000 and outputs it to the pulse extraction unit 120.
The pulse extraction unit 120 includes an electric filter 121 and extracts a pulse signal from the waveform signal captured by the waveform signal input unit 110 according to a preset pulse extraction rule 122. The extracted pulse signal is output to the pulse distortion amount calculation means 130.
The pulse distortion amount calculation means 130 calculates a numerical value (pulse distortion amount) of the degree of distortion of the pulse signal extracted by the pulse extraction means 120 in accordance with a calculation function that will be described later. The calculated pulse distortion amount is output to the pulse distortion amount totaling unit 140.
The pulse distortion amount totaling unit 140 obtains pulse distortion amount information 141 (described later) based on the pulse distortion amount calculated by the pulse distortion amount calculating unit 130, and outputs the totalization result to the transmission path diagnosis unit 150.
The transmission line diagnosis unit 150 receives the pulse distortion amount information 141 from the pulse distortion amount totaling unit 140, infers the failure state of the transmission line 000 in accordance with a preset transmission line state inference tree 151, and outputs it as a diagnosis result. Output to means 160.
The output unit 160 has a function of outputting at least one of the waveform signal, the pulse distortion amount, the total result of the pulse distortion amount information 141, and the diagnosis result of the transmission path diagnosis unit 150.

The waveform signal input means 110 is configured using an appropriate interface member or the like in accordance with the configuration of the transmission path 000.
The pulse extraction unit 120, the pulse distortion amount calculation unit 130, the pulse distortion amount totalization unit 140, and the transmission path diagnosis unit 150 can be configured by hardware such as a circuit device that realizes these functions, or a CPU, a microcomputer, or the like. It can also be configured as software that operates on the arithmetic device.
The output unit 160 can be configured by a screen display device such as a display device for displaying received information, or can be configured as an interface that outputs only data.

FIG. 2 exemplifies a pulse distortion waveform.
In FIG. 2, reference numeral 200 denotes an ideal shape pulse waveform. Reference numerals 201 to 205 are examples of distorted pulse waveforms. A portion indicated by an arrow in each figure is a distortion component, and the pulse distortion amount calculation means 130 calculates a value obtained by digitizing this portion as a pulse distortion amount.
The pulse distortion amount calculation means 130 internally holds the following calculation functions set in advance in order to calculate these pulse distortion amounts.
(1) Sag component calculation function 131 for calculating the sag component 201
(2) Ringing component calculation function 132 for calculating the ringing component 202
(3) Backswing component calculation function 133 for calculating the backswing component 203
(4) Base noise calculation function 134 for calculating the base noise 204
(5) Rising slope calculation function 135 for calculating the rising slope 205

  Next, the contents of each calculation function will be described.

(1) Sag component calculation function 131
The sag component calculation function 131 can be a function for obtaining the slope of a linear function connecting the start point and the end point of the portion where the absolute value of the level of the pulse signal is equal to or greater than the threshold value.
The linear function may be a linear approximation function obtained by a least square method.

(2) Ringing component calculation function 132
The ringing component calculation function 132 can be a function for obtaining the magnitude of the odd multiple harmonic component of the pulse signal. Further, it may be a function for obtaining the size of the vibration part, or a function for obtaining the effective value of the difference between the primary approximate straight line of the vibration part and the actual signal level.

(3) Backswing component calculation function 133
The backswing component calculation function 133 can be a function for obtaining a signal level after a lapse of a certain time from the falling point of the pulse signal.

(4) Base noise calculation function 134
The base noise calculation function 134 can be a function for obtaining the magnitude of vibration of a portion where the absolute value of the level of the pulse signal is less than a threshold value or the effective value of the signal level.

(5) Rising slope calculation function 135
The rising slope calculation function 135 can be a function for obtaining the slope of the rising portion of the pulse signal.

  It should be noted that the above distortion components and their calculation functions are examples, and pulse distortion used for transmission path diagnosis is not limited to these.

Next, the operation of the waveform signal analysis apparatus 100 will be described.
The operation of the waveform signal analyzing apparatus 100 is roughly divided into the following steps S1 to S3.
(S1) Pulse extraction step A waveform signal of a message flowing through the transmission path 000 is acquired, and a pulse signal is extracted from the waveform signal. The waveform signal input means 110 and the pulse extraction means 120 play the role.
(S2) Pulse distortion amount calculation step The distortion amount of the pulse signal extracted in step S2 is calculated and tabulated. The pulse distortion amount calculation means 130 and the pulse distortion amount aggregation means 140 play the role.
(S3) Transmission path state estimation step The transmission path diagnosis means 150 estimates the failure status of the transmission path 000 based on the pulse distortion amount totaling result of step S2. The estimation result is output to the user by the output unit 160.

  Next, details of step S1 will be described together with detailed functions and operations of the respective units.

The waveform signal input unit 110 is connected to a wired or wireless transmission path 000, and acquires a waveform signal of a telegram transmitted and received by a device connected on the transmission path 000.
The waveform signal input unit 110 notifies the pulse extraction unit 120 of the waveform signal every time the waveform signal acquisition is executed.

  The pulse extraction unit 120 applies an electric filter 121 to the notified waveform signal. Based on the pulse extraction rule 122, the pulse signals included in the waveform signal that has passed through the electric filter 121 are extracted one by one, and the extracted pulse signals are notified to the pulse distortion amount calculation means 130.

The electrical filter 121 may be a low-pass filter, a high-pass filter, or a band-pass filter.
The pulse extraction rule 122 may be a threshold determination rule for the level of the waveform signal, a threshold determination rule for the differential value of the level of the waveform signal, or a logical product or logical sum of the two. .

  Next, details of step S2 will be described together with detailed functions and operations of the respective units.

Each time the pulse signal is notified from the pulse extraction unit 120, the pulse distortion amount calculation unit 130 converts the pulse signal into the sag component calculation function 131, the ringing component calculation function 132, the back swing component calculation function 133, and the base noise calculation. This is input to the function 134 and the rising slope calculation function 135.
The pulse distortion amount calculation means 130 calculates the value of each distortion component (sag component 201, ringing component 202, backswing component 203, base noise 204, rising slope 205) of the pulse signal by using these calculation functions. .
The calculated value of each distortion component is output to the pulse distortion amount totaling means 140.

FIG. 3 shows a data example of the pulse distortion amount information 141.
Each time the pulse distortion amount calculation unit 140 is notified of the sag component 201, the ringing component 202, the backswing component 203, the base noise 204, and the rising slope 205 from the pulse distortion amount calculation unit 130, the pulse distortion amount information 141 As shown in FIG. The data format of accumulation may be a table format as shown in FIG. 3, for example.
Further, the pulse distortion amount totalizing unit 140 obtains a pulse distortion amount totaling result based on the accumulated pulse distortion amount information 141 and notifies the transmission path diagnosis unit 150 of the pulse distortion amount totaling result.

  The pulse distortion amount totaling result may be an average value obtained for one or more of the sag component 201, the ringing component 202, the backswing component 203, the base noise 204, and the rising slope 205 accumulated so far. It may be a value, a minimum value, or a combination thereof.

  Next, details of step S3 will be described together with detailed functions and operations of the respective units.

FIG. 4 shows a configuration example of the transmission path state inference tree 151.
In FIG. 4, the transmission path state inference tree 151 has transmission path state nodes 303a to 303d at the ends and threshold determination nodes 302a to 302c other than the ends.
The transmission path status nodes 303a to 303d represent the status of the transmission path 000. The threshold determination nodes 302a to 302c have a pulse distortion amount threshold value and a next node determination rule.
The transmission path diagnosis unit 150 inputs the pulse distortion amount total result 301 to the threshold determination node 302a. Next, threshold determination is performed using the pulse distortion amount thresholds included in the threshold determination nodes 302a to 302c, and the next node to be traced is determined according to the result and the next node determination rule.
The above procedure is repeated, and the state of the transmission line 000 represented by the transmission line state node 303 finally reached is set as the output of the transmission line diagnosis unit 150.

  In FIG. 4, a binary tree is shown as a configuration example of the inference tree, but the configuration of the inference tree is not limited to this. Similarly, the next node determination rule for each threshold determination node is not limited to determination based on any one of “high” and “low”.

  The output of the transmission path diagnosis unit 150 is output by the output unit 160, and the diagnosis result is notified to the user of the waveform signal analyzing apparatus 100. Since the user can know the estimation result of the failure state of the transmission line 000 based on the diagnosis result, the user can limit the investigation and repair work to the estimated location, and can take prompt action.

  As described above, according to the first embodiment, the pulse signal is extracted from the waveform signal flowing through the transmission line 000, and the amount of distortion is calculated and aggregated to estimate the failure state of the transmission line 000. Since it can be presented to the user, the user can easily identify the cause of the transmission failure and the location where the failure occurred, and can deal with it early, even without specialized knowledge or experience with communication protocols and waveform signals. .

Embodiment 2. FIG.
FIG. 5 shows a functional block diagram of the waveform signal analyzing apparatus 100 according to Embodiment 2 of the present invention.
The waveform signal analysis apparatus 100 according to the second embodiment includes a waveform signal input unit 110, a pulse extraction unit 120, a pulse distortion amount calculation unit 130, a pulse distortion amount aggregation unit 140, a transmission path diagnosis unit 150, an output unit 160, a diagnosis. Result storage means 170 is provided.

  The configurations of the waveform signal input unit 110, the pulse extraction unit 120, the pulse distortion amount calculation unit 130, the pulse distortion amount totalization unit 140, and the output unit 160 are the same as those in FIG. 1 described in the first embodiment. Omitted.

The diagnosis result storage unit 170 stores past diagnosis information 171 described later with reference to FIG. This stores the correspondence between the diagnosis result of the transmission line 000 performed in the past and the pulse distortion amount totaling result at that time.
The transmission path diagnosis means 150 uses a preset pulse distortion amount similarity calculation function 161 to compare the total result by the pulse distortion amount totaling means 140 with the past diagnosis information 171, and the past most similar to the total result. By identifying the diagnostic information, the failure status of the transmission line 000 is estimated. Details will be described later.

  The diagnosis result storage unit 170 can be configured by a storage device such as a RAM (Random Access Memory) or an HDD (Hard Disk Drive).

FIG. 6 shows the configuration and data example of the past diagnosis information 171.
The past diagnosis information 171 is composed of a total result of pulse distortion (171a in FIG. 6) performed in the past and a diagnosis result of the transmission path state at that time (171b in FIG. 6). The data format can be a table format as shown in FIG. 6, for example.
These tabulation results and diagnosis results may be implemented in the past for the transmission line 000, or may be implemented for other transmission lines having similar characteristics. The diagnosis result may be a diagnosis result obtained by an operator or the like actually checking the transmission path, or may be an automatic estimation result by inference calculation as in the first embodiment.
That is, it can be said that the past diagnosis information 171 is configured by converting the know-how accumulated so far into data regarding the failure diagnosis of the transmission path.
By comparing the counting result obtained by the pulse distortion amount counting unit 140 with the past diagnosis information 171, the diagnosis result performed under the same situation in the past can be referred to, so that the certainty of the diagnosis is increased.

Next, the operation of the waveform signal analysis apparatus 100 according to the second embodiment will be described.
Since steps S1 and S2 are the same as those in the first embodiment, step S3 will be described.

(1) When the transmission path diagnosis unit 150 is notified of the pulse distortion amount totaling result from the pulse distortion amount totaling unit 140, the transmission path diagnosis unit 150 stores data for one case of the past diagnosis information 171 stored in the diagnosis result storage unit 170 (see FIG. 6), the similarity between the past pulse distortion amount totaling result 171a and the pulse distortion amount totaling result by the pulse distortion amount totaling unit 140 is calculated using the pulse distortion amount similarity calculating function 161. Ask. A method for calculating the similarity will be described later.
(2) The transmission path diagnosis unit 150 repeats the process (1) for the data of all cases in the past diagnosis information 171 included in the diagnosis result storage unit 170.
(3) The transmission path diagnosis unit 150 identifies the past diagnosis information 171 having the highest similarity as a result of the processes (1) to (2). Next, based on the past transmission path state 171 b of the past diagnosis information 171, the state of the transmission path 000 is estimated and notified to the display unit 160.

Note that the similarity calculation using the pulse distortion amount similarity calculation function 161 can be performed as follows, for example.
(1) For each distortion component (sag component to rising slope) of the pulse signal, the difference between the past pulse distortion amount totaling result 171a and the pulse distortion amount totaling result by the pulse distortion amount totaling means 140 is obtained and added together. . The smaller the sum, the more similar the two are considered.
(2) For each distortion component (sag component to rising slope) of the pulse signal, a difference between the past pulse distortion amount totaling result 171a and the pulse distortion amount totaling result by the pulse distortion amount totaling means 140 is obtained and squared thereof. Take the square root of the sum. The smaller the value, the more similar the two are considered.

  It is added that the above similarity calculation methods (1) and (2) are examples and are not limited to these.

In the second embodiment, the user inspects the transmission line 000 based on the diagnosis result by the transmission line diagnosis unit 150, and the result is input to the waveform signal analyzer 100 and a new diagnosis is made in the past diagnosis information 171. The result entry may be added and updated.
Thereby, since the latest diagnosis result can always be reflected, the accuracy of estimation by the transmission path diagnostic means 150 increases.

As described above, according to the second embodiment, from the pulse distortion amount totaling results of the transmission lines implemented in the past, the one most similar to the totaling result by the pulse distortion amount totaling unit 140 is specified, Since the diagnosis result of the transmission path condition at that time can be referred to, it is possible to take an accurate and quick response by making use of past diagnosis know-how.
Further, by utilizing past diagnostic know-how, it is possible to easily identify the cause of a transmission fault and the location where the fault has occurred and to deal with it at an early stage without specialized knowledge and experience regarding protocols and waveform signals.

Note that the estimation of the transmission path state by the transmission path state inference tree 151 described in the first embodiment and the estimation by using the past diagnosis result described in the second embodiment may be used in combination.
In this case, for example, by (1) appropriately weighting both estimation results and setting priority, (2) presenting both estimation results to the user and making the user judge, Two estimation methods can coexist.

1 is a functional block diagram of a waveform signal analysis apparatus 100 according to Embodiment 1. FIG. This is an example of a pulse distortion waveform. The data example of the pulse distortion amount information 141 is shown. The example of a structure of the transmission-path state inference tree 151 is shown. 6 is a functional block diagram of a waveform signal analyzing apparatus 100 according to Embodiment 2. FIG. The structure of past diagnosis information 171 and an example of data are shown.

Explanation of symbols

  000 transmission path, 100 waveform signal analyzer, 110 waveform signal input means, 120 pulse extraction means, 121 electrical filter, 122 pulse extraction rule, 130 pulse distortion amount calculation means, 131 sag component calculation function, 132 ringing component calculation function, 133 Backswing component calculation function, 134 Base noise calculation function, 135 Rising slope calculation function, 140 Pulse distortion amount totaling means, 141 Pulse distortion amount information, 150 Transmission path diagnosis means, 151 Transmission path state inference tree, 160 output means, 170 diagnosis Result storage means, 171a Past pulse distortion total result, 171b Past transmission path state, 200 Ideal shape pulse waveform, 201 Sag component, 202 Ringing component, 203 Back swing component, 204 Base noise, 205 Rising slope, 301 Distortion amount totalization result , 302a-302c threshold determination node, 303 a through 303 d channel state node.

Claims (16)

A waveform signal input means for capturing a waveform signal of a message flowing through the transmission line;
Pulse extraction means for extracting a pulse signal from the waveform signal captured by the waveform signal input means;
A pulse distortion amount calculating means for calculating a distortion amount of the pulse signal extracted by the pulse extracting means;
A pulse distortion amount totaling unit that totalizes the distortion amount calculated by the pulse distortion amount calculating unit;
A transmission line diagnosis means for estimating the state of the transmission line based on the counting result of the pulse distortion amount counting means;
Output means for outputting an estimation result of the transmission path diagnosis means;
A waveform signal analyzing apparatus comprising: The pulse extraction means includes
The waveform signal analysis apparatus according to claim 1, wherein threshold determination is performed for at least one of the signal level of the waveform signal or a first-order differential value of the signal level, and the pulse signal is extracted. The pulse extraction means comprises an electrical filter;
The waveform signal analyzing apparatus according to claim 1, wherein the pulse signal is extracted after the waveform signal is applied to the electric filter. The pulse distortion amount totaling means,
The waveform according to any one of claims 1 to 3, wherein at least one of an average value, a maximum value, and a minimum value of the distortion amount calculated by the pulse distortion amount calculation unit is calculated as the total result. Signal analysis device. The transmission path diagnosis means includes
The waveform signal analysis apparatus according to any one of claims 1 to 4, wherein the state of the transmission path is estimated by performing an inference operation using a predetermined inference tree based on the aggregation result. The node of the inference tree is
The next node is determined by comparing the value of the amount of pulse distortion included in the aggregation result with each threshold value associated with each node,
The transmission path diagnosis means includes
6. The waveform signal analysis apparatus according to claim 5, wherein the summation result is input to the inference tree to perform an inference operation, and the state of the transmission path is estimated based on a final node obtained as a result. . A diagnostic result storage means for storing the diagnostic result of the transmission path;
The transmission path diagnosis means includes
The waveform according to any one of claims 1 to 4, wherein a state of the transmission path is estimated by comparing a diagnosis result stored in the diagnosis result storage unit and the total result. Signal analysis device. A similarity calculation means for calculating a similarity between the diagnosis results stored in the diagnosis result storage means and the total results;
The transmission path diagnosis means includes
Identifying the diagnosis result calculated by the similarity calculation means as having the highest similarity,
The waveform signal analysis apparatus according to claim 7, wherein the state of the transmission path is estimated based on the diagnosis result. The pulse distortion amount calculating means includes:
Calculate the sag component of the pulse signal as the distortion amount of the pulse signal,
When calculating,
The waveform signal according to any one of claims 1 to 8, wherein the sag component is an inclination of a first-order approximation line of a portion where the absolute value of the signal level of the pulse signal is equal to or greater than a predetermined threshold value. Analysis device. The waveform signal analysis apparatus according to claim 9, wherein the pulse distortion amount calculation unit obtains the first-order approximate line by a least square method. The pulse distortion amount calculating means includes:
Calculate the ringing component of the pulse signal as the distortion amount of the pulse signal,
When calculating,
The waveform signal analyzing apparatus according to any one of claims 1 to 10, wherein the ringing component is a magnitude of vibration of a portion where the absolute value of the signal level of the pulse signal is equal to or greater than a predetermined threshold value. . The pulse distortion amount calculating means includes:
The waveform signal analysis apparatus according to claim 11, wherein a primary approximate line of the vibration portion is obtained, and an effective value of a difference between the primary approximate line and a vibration waveform is used as the ringing component. The pulse distortion amount calculating means includes:
Calculate the backswing component of the pulse signal as the distortion amount of the pulse signal,
When calculating,
The waveform signal analysis apparatus according to any one of claims 1 to 12, wherein a signal level after a predetermined time has elapsed from a time point of falling of the pulse signal is the backswing component. The pulse distortion amount calculating means includes:
Calculate the base noise of the pulse signal as the distortion amount of the pulse signal,
When calculating,
The waveform signal analyzer according to any one of claims 1 to 13, wherein the base noise is a magnitude of vibration of a portion where the absolute value of the signal level of the pulse signal is less than a predetermined threshold value. . The pulse distortion amount calculating means includes:
The waveform signal analysis apparatus according to claim 14, wherein a signal level effective value of a portion where an absolute value of a signal level of the pulse signal is less than a predetermined threshold is used as the base noise. The pulse distortion amount calculating means includes:
The waveform signal analysis apparatus according to any one of claims 1 to 15, wherein a rising slope of the pulse signal is calculated as a distortion amount of the pulse signal.

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