JP7458277B2 - Information processing device - Google Patents

Description

Embodiments of the present invention relate to an information processing device.

In general, information processing devices have a structure that is susceptible to vibrations and shocks, such as an HDD (Hard Disk Drive). Therefore, it is preferable that vibrations and shocks are not applied to the information processing device.

JP2003-317368A International Publication No. 2007/077841 Japanese Patent Application Publication No. 2013-123494

However, it is possible that vibrations or shocks may be applied to the information processing device. Further, the measures that can be taken differ depending on whether vibration or shock is applied to the information processing device.

SUMMARY OF THE INVENTION Therefore, an object of the present invention is to provide an information processing device that can easily determine which of vibrations and shocks is applied to the information processing device.

The information processing device of the embodiment includes: an acceleration sensor that detects acceleration and outputs acceleration data; an acquisition unit that acquires a plurality of pieces of acceleration data in the chronological order outputted by the acceleration sensor; a calculation unit that calculates an autocorrelation function using a plurality of the acceleration data; and a calculation unit that determines whether the cause of the acceleration is vibration or shock applied to the information processing device based on a change in the autocorrelation function. and a storage unit that stores the determination result by the determination unit.

FIG. 1 is a block diagram showing the functional configuration of an information processing apparatus according to an embodiment. FIG. 2 is an explanatory diagram showing an example of calculating an autocorrelation function. FIG. 3 is a diagram showing an example of acceleration data and an autocorrelation function in the embodiment. FIG. 4 is an explanatory diagram showing an example of calculating an index value in the embodiment. FIG. 5 is a flowchart showing a process performed by the information processing apparatus according to the embodiment. FIG. 6 is a flowchart showing details of step S2 in FIG. FIG. 7 is a flow chart showing the details of step S3 in FIG.

The information processing device according to the embodiment of the present invention will be described in detail below with reference to the attached drawings. In the following, vibration means that an object periodically swings. Also, impact means that a large force is momentarily applied to an object.

First, the conventional technology will be explained in detail again. Information processing equipment used in fields such as social infrastructure systems has traditionally been required to operate stably over a long period of time. In general, information processing devices have a structure that is susceptible to vibrations and shocks, such as an HDD (Hard Disk Drive). Therefore, it is preferable that vibrations and shocks are not applied to the information processing device.

Specifically, in the case of an HDD, for example, external vibrations or shocks may damage the magnetic head or magnetic disk, causing data corruption or OS (Operating System) startup failure. Therefore, depending on the installation environment of the information processing device, it is necessary to take measures against vibration and shock.

Further, there are various patterns of vibration and impact on the information processing device depending on the situation. For example, in the case of vibrations caused by the operation of motors in a factory, or vibrations caused during transportation when an information processing device is transported, physical measures are required to alleviate these vibrations.

On the other hand, in a case where an information processing device is installed under a desk or the like and receives a shock from being kicked or hit by an object, it may be sufficient to alert the user.

In other words, the measures that can be taken differ depending on whether vibration or shock is applied to the information processing device.

Therefore, in the following, an information processing apparatus that can easily determine which of vibrations and shocks is applied to the information processing apparatus will be described in detail.

FIG. 1 is a block diagram showing the functional configuration of an information processing device 1 according to an embodiment. The information processing device 1 is a computer device, and includes a processing section 2, an acceleration sensor 3, a storage section 4, an input section 5, and a display section 6.

The acceleration sensor 3 is installed within the housing of the information processing device 1 and includes a detection section 31 and a data buffer 32. The detection unit 31 detects acceleration caused by vibration or impact applied to the information processing device 1, and stores the acceleration data in a data buffer 32 (for example, a FIFO (First In, First Out) buffer). Further, the detection unit 31 outputs the acceleration data stored in the data buffer 32 to the processing unit 2.

Note that, for example, the detection unit 31 detects the acceleration of each of the three axes, ie, the x-axis, the y-axis, and the z-axis, and stores the acceleration data in the data buffer 32 provided for each axis. Further, for example, the detection unit 31 always stores acceleration data in the data buffer 32 at an arbitrary sampling period, and when the data buffer 32 becomes full, discards the oldest acceleration data.

Further, for example, when acceleration data exceeding the acceleration threshold is recorded in any one of the three axes, the detection unit 31 clears the data buffers 32 of all three axes, and stores the acceleration data until the data buffer 32 is full. Save a new one. Note that the acceleration threshold value is set in advance based on experiments and the like, and is basically common to each axis, but may be different for each axis depending on the shape, material, etc. of the information processing device 1.

The processing unit 2 is realized, for example, by a CPU (Central Processing Unit), and includes, as functional units, an acquisition unit 21, a calculation unit 22, a determination unit 23, and an execution unit 24.

The acquisition unit 21 acquires various information. The acquisition unit 21 acquires, for example, a plurality of pieces of acceleration data in the chronological order output by the acceleration sensor 3.

The calculation unit 22 calculates an autocorrelation function using a plurality of pieces of acceleration data in the chronological order acquired by the acquisition unit 21 (details will be described later).

Based on the change in the autocorrelation function calculated by the calculation unit 22, the determination unit 23 determines whether the cause of the acceleration is vibration or impact given to the information processing device 1. For example, in this case, the determination unit 23 calculates an index value that is the sum of the difference between the autocorrelation value and the autocorrelation threshold in the portion where the autocorrelation value is equal to or greater than a predetermined autocorrelation threshold, in a range where the lag (τ) indicating the amount of time lag used when the autocorrelation function is calculated is equal to or greater than a predetermined lag threshold, and determines that the cause of the acceleration is vibration if the index value is equal to or greater than the predetermined index value threshold, and determines that the cause of the acceleration is impact if the index value is less than the predetermined index value threshold (details will be described later using Figures 3 and 4).

Note that, for example, the calculation of the autocorrelation function by the calculation unit 22 and the determination of vibration impact by the determination unit 23 are performed for each of the x-axis, y-axis, and z-axis, and if any one axis is determined to be an impact, The acceleration data is treated as impact, and if all three axes are determined to be vibration, the acceleration data is treated as vibration.

The storage unit 4 is realized by, for example, a ROM (Read Only Memory), a RAM (Random Access Memory), an HDD, etc., and stores a determination result 41, an OS 42, and an APP (Application Software) 43.

The judgment result 41 is the judgment result by the judgment unit 23. The judgment result 41 may include, for example, date and time information when the judgment was made and acceleration data used in the judgment.

The OS 42 includes predetermined functions such as an event log function for recording specific phenomena and operations that occur within the information processing device 1 and a notification function.

APP43 is predetermined application software installed in the storage unit 4. The APP 43 is, for example, display application software that can display the determination result 41.

In addition, the storage unit 4 also stores information such as various setting values and various threshold values used for processing.

The execution unit 24 acquires the determination result 41 from the storage unit 4, and executes at least one of a predetermined function of the OS 42 of the information processing device 1 and a predetermined APP 43 using the determination result 41. For example, the determination result can be displayed on the display unit 6 by processing by this execution unit 24.

The input unit 5 is a means for inputting information by a user of the information processing device 1, and is, for example, a keyboard, a mouse, or a touch panel.

The display unit 6 is a means for displaying various information, and is, for example, an LCD (Liquid Crystal Display).

Below, an overview of the processing performed by the information processing device 1 will be described with reference to Figures 2 to 4, and then specific processing performed by the information processing device 1 will be described with reference to Figures 5 to 7.

FIG. 2 is an explanatory diagram showing an example of calculating an autocorrelation function. Here, five numbers 1, 4, 2, 3, and 5 are used as a simulation of the plurality of acceleration data in chronological order. Further, τ (lag) used when calculating the autocorrelation function is an integer value from −5 to +5.

In (a), τ=-5 and there is no overlap between the two sets of acceleration data, so the integrated value is 0.

In (b), τ=-4, the two sets of acceleration data overlap at one location, and the integrated value is 1×5=5.

In (c), τ=-3, the numbers overlap in two places for the two sets of acceleration data, and the integrated value is 1×3+4×5=23.

In (d), τ=-2, the numbers overlap at three locations for the two sets of acceleration data, and the integrated value is 1×2+4×3+2×5=24.

In (e), τ=-1, the numbers overlap at four locations for the two sets of acceleration data, and the integrated value is 1×4+4×2+2×3+3×5=33.

In (f), τ=0, the numbers overlap at five locations for the two sets of acceleration data, and the integrated value is 1×1+4×4+2×2+3×3+5×5=55.

(g) to (k) are the same as (e) to (a), so their explanation will be omitted.

In this way, in the example of FIG. 2, the calculation unit 22 moves τ from −5 to +5 and calculates the autocorrelation function E(τ).

FIG. 3 is a diagram showing an example of acceleration data and an autocorrelation function in the embodiment. Note that each graph and numerical value in FIG. 3 is an image and is not exact.

In Fig. 3(a), the vertical axis indicates the acceleration data value, and the horizontal axis indicates the number of samples (similar to Fig. 3(c)). Here, the acceleration data is organized into a set of 32 consecutive samples in chronological order (similar to Figs. 3(c) and (d)). The curve shown in Fig. 3(a) is an example of a vibration waveform.

For this acceleration data, an autocorrelation function was calculated and further normalized, resulting in the curve shown in FIG. 3(b). In FIG. 3(b), the vertical axis indicates the autocorrelation value, and the horizontal axis indicates the lag (the same applies to FIG. 3(d)). Further, the area of the portion below the curve in regions R1 and R2 is a predetermined index value (details will be described later).

Moreover, the curve shown in FIG. 3(c) is an example of a shock waveform. The curve in FIG. 3(d) is obtained by calculating an autocorrelation function for this acceleration data and further normalizing it. Furthermore, the area below the curve in regions R3 and R4 is a predetermined index value (details will be described later).

In general, the envelope of the autocorrelation function of a vibration waveform falls gently from the apex, as shown in Figure 3(b), and the envelope of the autocorrelation function of a shock waveform declines steeply from the apex, as shown in Figure 3(d). Go down. Therefore, for example, in FIG. 3(b), it exists in region R2 (range where τ≧j and F(τ)>m, where j is a predetermined setting value and m is a predetermined autocorrelation threshold value. See FIG. 4). The area S of the autocorrelation function is calculated (the same applies to the region R1). In addition, in FIG. 3(d), the area S of the autocorrelation function existing in the region R4 (a range of τ≧j and F(τ)>m) is calculated (the same applies to the region R3).

Then, depending on the size of the area S, it is possible to determine whether it is a vibration or an impact. For example, the determination unit 23 determines that it is a vibration when the area S is greater than or equal to a predetermined index value threshold, and determines that it is an impact when the area S is less than a predetermined index value threshold.

Figure 5 is a flowchart showing the process performed by the information processing device 1 according to the embodiment. First, in step S1, the acquisition unit 21 acquires N consecutive pieces of acceleration data (e.g., 32 pieces) in chronological order output by the acceleration sensor 3.

Next, in step S2, the calculation unit 22 executes a process of calculating an autocorrelation function using the N pieces of acceleration data acquired in step S1.

Here, FIG. 6 is a flowchart showing details of step S2 in FIG. 5. Note that, as shown in FIG. 2, the autocorrelation function F(τ) is symmetrical when τ is positive and when τ is negative, so in the flowchart of FIG. 6, only the case where τ≧0 is considered. Further, x(k) indicates acceleration data of k (acceleration data identification number).

In step S201, the calculation unit 22 initializes τ to 0. Next, in step S202, the calculation unit 22 initializes E(τ) (unnormalized autocorrelation function) to 0 and k to 1.

Next, in step S203, the calculation unit 22 determines whether (k+τ) is larger than N. If Yes, the process proceeds to step S204; if No, the process proceeds to step S205.

In step S204, the calculation unit 22 sets x(k+τ) to 0. In step S205, the calculation unit 22 updates E(τ) by adding x(k)x(k+τ) to E(τ).

Next, in step S206, the calculation unit 22 increments (increases by 1) k. Next, in step S207, the calculation unit 22 determines whether k is less than or equal to N. If yes, the process returns to step S203, and if No, the process proceeds to step S208.

In step S208, the calculation unit 22 calculates F(τ) (normalized autocorrelation function) using the following equation (1).

Next, in step S209, the calculation unit 22 increments τ (increases by 1). Next, in step S210, the calculation unit 22 determines whether τ is equal to or less than N, and if Yes, the process returns to step S202, and if No, the process of step S2 ends.

Returning to FIG. 5, after step S2, in step S3, the determination unit 23 executes vibration impact determination processing.

FIG. 7 is a flowchart showing details of step S3 in FIG. In step S301, the determination unit 23 initializes i (identification number of acceleration data) to j (0<j<N) and initializes area S (index value) to 0.

Next, in step S302, the determining unit 23 determines whether F(i) is larger than m. If Yes, the process proceeds to step S303; if No, the process proceeds to step S304.

In step S303, the determination unit 23 updates the area S by adding (F(i)-m) to the area S.

Next, in step S304, the determination unit 23 increments (increases by 1) i. Next, in step S305, the determining unit 23 determines whether or not i is less than or equal to N. If YES, the process returns to step S302, and if NO, the process proceeds to step S306.

In step S306, the determination unit 23 determines whether or not the area S is less than or equal to a predetermined index value threshold. If Yes, the process proceeds to step S308; if No, the process proceeds to step S307.

In step S307, the determination unit 23 determines that the cause of the acceleration is vibration. In step S308, the determining unit 23 determines that the cause of the acceleration is an impact.

Returning to FIG. 5, after step S3, in step S4, the determining unit 23 causes the storage unit 4 to store the determination result in step S3 as the determination result 41. At this time, the determination result 41 may include, for example, date and time information when the determination was made and acceleration data used in the determination.

As described above, according to the information processing device 1 of the present embodiment, an autocorrelation function is calculated using a plurality of acceleration data in the chronological order outputted by the acceleration sensor 3 provided in the information processing device 1, and the autocorrelation function is Based on the change in the function, it is possible to easily determine whether the cause of the acceleration is vibration or shock applied to the information processing device.

More specifically, the determination unit 23 can easily determine vibration/shock by calculating the above-mentioned area S as an index value and comparing it with the index value threshold.

Further, the execution unit 24 executes at least one of a predetermined function of the OS 42 of the information processing device 1 and a predetermined APP 43 using the determination result 41, so that the determination result is displayed on the display unit 6, for example. Can be done. Thereby, the user and the like can easily check the determination result 41 at any timing by using the general-purpose OS 42 and APP 43 mechanisms.

Specifically, for example, when performing maintenance on the information processing device 1, a maintenance person or the like displays the judgment result on the display unit 6. Then, for example, the maintenance person can suggest to the user how to improve the environment of the information processing device 1 as necessary.

For example, if it is determined that vibration has been applied to the information processing device 1, the cause of the vibration, such as the fact that the installation surface of the information processing device 1 is vibrating due to the operation of a nearby motor, is investigated, and the information processing It is possible to improve the environment (change the installation location of the information processing device 1, etc.) so as to eliminate vibrations to the device 1.

For example, if it is determined that an impact has been applied to the information processing device 1, the cause of the impact, such as the user kicking the information processing device 1, is investigated and the impact to the information processing device 1 is eliminated. It is possible to improve the environment (such as calling attention to the user who is kicking, changing the installation location of the information processing device 1, etc.).

In the information processing device 1 of the embodiment, each of the above functions is realized on the computer by, for example, the CPU reading a program from the ROM onto the RAM and executing it. Note that the program may be stored in the HDD.

In addition, the program may be a file in an installable or executable format on a computer-readable storage medium such as a CD-ROM, CD-R, memory card, DVD (Digital Versatile Disk), or flexible disk (FD). The program may be stored in a computer and provided as a computer program product. Alternatively, the program may be stored on a computer connected to a network such as the Internet, and provided by being downloaded via the network. Further, the program may be provided or distributed via a network such as the Internet.

Although the embodiments of the present invention have been described above, the embodiments are presented as examples and are not intended to limit the scope of the invention. This novel embodiment can be implemented in various other forms, and various omissions, substitutions, and changes can be made without departing from the gist of the invention. This embodiment and its modifications are included within the scope and gist of the invention, as well as within the scope of the invention described in the claims and its equivalents.

DESCRIPTION OF SYMBOLS 1... Information processing device, 2... Processing part, 3... Acceleration sensor, 4... Storage part, 5... Input part, 6... Display part, 21... Acquisition part, 22... Calculation part, 23... Judgment part, 24... Execution part , 31...Detection unit, 32...Data buffer, 41...Judgment result, 42...OS, 43...APP

Claims (3)

an acceleration sensor that detects acceleration and outputs acceleration data;
an acquisition unit that acquires a plurality of pieces of acceleration data in chronological order output by the acceleration sensor;
a calculation unit that calculates an autocorrelation function using the plurality of acceleration data acquired by the acquisition unit;
a determination unit that determines whether the cause of the acceleration is vibration or impact applied to the information processing device, based on a change in the autocorrelation function;
An information processing device comprising: a storage unit that stores a determination result by the determination unit. The determination unit calculates the autocorrelation function when determining whether the cause of the acceleration is vibration or impact applied to the information processing device based on a change in the autocorrelation function. The difference between the autocorrelation value and the autocorrelation threshold in a portion where the autocorrelation value is greater than or equal to the predetermined autocorrelation threshold in a range where the lag indicating the amount of time shift used when A total index value is calculated, and if the index value is greater than or equal to a predetermined index value threshold, the cause of occurrence is determined to be vibration, and if the index value is less than the predetermined index value threshold, the cause of occurrence is determined to be shock. The information processing device according to claim 1, which determines that. an execution unit that acquires the determination result from the storage unit and executes at least one of a predetermined function of an OS (Operating System) of the information processing device and predetermined application software using the determination result; The information processing device according to claim 1 or 2, further comprising:

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