JP2019168877A - Electronic terminal problem prediction device - Google Patents

Abstract

To provide an electronic terminal problem prediction device that predicts the cause of a malfunction in an electronic terminal connected to a network or predicts the occurrence of the malfunction.SOLUTION: An electronic terminal problem prediction device of the present invention comprises: a receiving unit that receives predetermined information from a plurality of electronic terminals connected to a network; a classification unit for classifying the predetermined information into a plurality of information types which are respectively different; and a prediction unit for (1) predicting the cause at the time when the electronic terminal has a malfunction, or (2) predicting the type of malfunction that the electronic terminal may have on the basis of the information type. The prediction unit predicts with including a correspondence relationship between the type information and the type of malfunction.SELECTED DRAWING: Figure 3

Description

  The present invention relates to an electronic terminal problem prediction apparatus that predicts a problem of an operation failure when an operation failure occurs in an electronic terminal connected to a network.

  In recent years, electronic terminals such as smartphones and tablet terminals have become very popular. Many people possess these portable terminals and enjoy the functions of communication and application software. Some smartphones and tablet terminals are commercially available for general use, and others are manufactured and used for specific purposes.

  Many people use these electronic terminals in various situations. They may be used according to their own needs or used as entertainment. This is because the performance of the electronic terminal is improved and various application software can be used. Users use their own electronic terminals in various situations.

  Under such circumstances, electronic terminals are sometimes used in specific places and in specific scenes. An electronic terminal directed to a target user may be used in a specific place. For example, in an accommodation facility such as a hotel, an electronic terminal is installed in each room. Electronic terminals incorporate application software and functions that need to be operated in each room. For example, applications and functions for performing temperature adjustment, air conditioner adjustment, television and video operations, key operations, lighting device operations, and the like through an electronic terminal are incorporated.

  By installing an electronic terminal with these functions in the room of the accommodation facility, the guest can operate the electronic terminal to adjust the temperature, adjust the air conditioner, operate the TV and video, operate the key, The lighting device can be operated.

  Alternatively, also in the net cafe, an electronic terminal is installed in each private room, and the user can perform various necessary operations using the installed electronic terminal. Alternatively, an electronic terminal may be installed in each private room in an apartment house or office. Also in this case, the user can perform various necessary operations by using the electronic terminal.

  Such an electronic terminal may be owned by a user, but there is also an electronic terminal that is commonly used by a user who changes (a guest or the like changes). In the latter case, a shared terminal is installed in advance. The user to be replaced uses this shared terminal.

  Here, the electronic terminals installed in these individual rooms are connected to a management device such as a server via a network. This is because it needs to be managed via a network. Alternatively, application software may be updated via a network.

  Management as described above is realized by connecting to a management apparatus (including remote installation) installed in accommodation facilities, Internet cafes, apartment houses, offices, and the like.

  As described above, in various places and applications, a plurality of electronic terminals may be connected to a management apparatus such as a server via a network. With these configurations, various services are realized. In the case of accommodation facilities, guests use these services, and in the case of offices, employees use these services. By using this service, both users and service providers can improve the efficiency of work and management.

  Here, the electronic terminal used in each private room may be provided in providing the service, or the user may bring in his / her own and use it. However, in accommodation facilities and public facilities, an unspecified number of users often use the same place daily. In the accommodation facility, different guests may use the same private room every day. In this case, an electronic terminal is installed in a private room of the accommodation facility in advance, and daily guests use it in common.

  Even in this case, electronic terminals installed in a plurality of private rooms are connected via a network. In the network, a management device by an administrator is connected. There are various physical positions within the same facility or a remote place, but this management device manages electronic terminals connected to the network.

  When such an electronic terminal and the management apparatus are connected via a network, a problem on the network may occur or a problem may occur in the electronic terminal. In order to cope with such a case, a technique for detecting a network malfunction or the like has been proposed (see, for example, Patent Document 1, Patent Document 2, and Patent Document 3).

JP 2009-64101A JP 2009-88672 A JP 2017-175343 A

  Patent Document 1 includes a central monitoring diagnosis system 14 that executes a remote monitoring process using a network model in a remote monitoring system that can execute a remote monitoring process including a failure diagnosis of the monitoring target device 10. The central monitoring / diagnosis system 14 acquires the prior information obtained before the occurrence of an event such as a failure of the monitored device 10 from the terminal 11 and the subsequent information obtained after the occurrence of the event, and inputs them into the network model. An integrated remote monitoring system is disclosed.

  Patent Document 1 discloses a technique for monitoring a network problem based on a network model. At this time, if a problem occurs on the network, this is reflected in the network model and the subsequent basic state of network management is updated. As described above, Patent Document 1 discloses a technique for modeling and storing defects on a network.

  However, a plurality of electronic terminals connected to the network may cause problems for various reasons. In accommodation facilities and public facilities, unspecified users may use the same electronic terminal in the same private room every day. In this case, a phenomenon such as the electronic terminal becoming inoperable or being stopped due to a user's clumsiness or a problem with the electronic terminal itself occurs. The occurrence of a malfunction of the electronic terminal by an unspecified number of users is not preferable in providing and managing services.

  When such a malfunction of the electronic terminal occurs, it is necessary to grasp the cause of the malfunction, but manual operation is required because it is installed in each private room or there are an unspecified number of users. There are many cases. Labor saving is required for this manual part.

  Patent Document 1 is intended to manage a network using a network model, and cannot predict the cause of a failure occurring in each electronic terminal.

  According to Patent Document 2, when a communication failure occurs in the system and the failure detection unit 133 of the base station 1 generates a failure alarm and transmits it to the EMS server 2, the control unit of the EMS server 2 is set in advance by a maintenance person. A determination is made as to whether or not the criteria for the conditions that have been satisfied are satisfied (whether or not a situation in which some problem is expected to occur in the communication of the wireless communication system 100 has occurred) and the criteria are satisfied Discloses a wireless communication system that allows the base station 1 to notify a communication terminal 3 of a user (a subscriber of the wireless communication system 100) of a notification content relating to a predicted failure.

  Patent Document 2 is a technique for notifying a terminal of a failure predicted by comparing a system failure with a prior criterion. In other words, this is a technology in which a server that is a management device notifies an electronic terminal of a problem that may occur in itself or in a network.

  As described above, in an environment where an unspecified number of people in an accommodation facility or public facility alternately use an electronic terminal, the problem of the electronic terminal is addressed rather than the importance of the electronic terminal receiving a problem in the server or network. The importance of doing is high. This is because various problems occur in the electronic terminal due to use by an unspecified number of users.

  Even if the network is normal, various problems often occur in the electronic terminal. In this case, there is a problem that the technique of Patent Document 2 cannot be applied. This is because the technique of Patent Document 2 is in a direction of notifying an electronic terminal of a failure of a network or a management device. In particular, the failure of the electronic terminal is often a problem of the electronic terminal itself rather than being caused by the network or the management device.

  The technique of Patent Document 2 has a problem that even if a defect in an electronic terminal is detected or detected, the cause cannot be predicted. In this case, there is a problem that it is difficult for the management side to cope with the occurrence of a problem in the electronic terminal.

  Patent Document 3 discloses an RTP packet generation unit that generates an RTP packet, a DTMF signal addition unit that adds a DTMF signal to the RTP packet, and transmits the failure detection signal to another failure analysis device. Means, a receiving means for receiving the fault detection signal returned from the other fault analysis apparatus, and a problem module in the fault analysis apparatus based on the DTMF signal included in the fault detection signal received by the reception means. Disclosed is a failure analysis device comprising a problem detection means for detecting and a reboot means for rebooting the problem module detected by the problem detection means.

  Patent Document 3 is a technology for rebooting a problematic terminal and aims to cope with the terminal problem.

  However, a failure of an electronic terminal cannot always be dealt with by rebooting. There are various problems such as physical problems of electronic terminals, hardware problems, OS problems, application software problems, etc., and it is not known which of these problems is causing the problem. Because.

  Since Patent Document 3 cannot predict the cause of such a failure, and only responds by rebooting, the correspondence may be inappropriate.

  As described above, in accommodation facilities, public facilities, and the like, an unspecified number of different people use electronic terminals installed on a daily basis. During this use, there is a possibility that a malfunction due to various causes such as a physical problem, a hardware problem, an OS problem, and an application software problem may occur in the electronic terminal.

  In the prior art, there is a problem that the cause cannot be predicted, and the handling work in the case where a malfunction of the electronic terminal occurs becomes complicated and manual.

  In view of these problems, an object of the present invention is to provide an electronic terminal problem prediction apparatus that predicts the cause of a malfunction in an electronic terminal connected to a network or predicts the occurrence of a malfunction.

In view of the above problems, an electronic terminal problem prediction apparatus according to the present invention includes a receiving unit that receives predetermined information from a plurality of electronic terminals connected to a network,
A classification unit for classifying the predetermined information into a plurality of information types of different types;
Based on information type
(1) Predict the cause when an electronic terminal malfunctions,
Or (2) predicting the type of failure that an electronic terminal can cause,
A prediction unit,
The prediction unit predicts including the correspondence between the type information and the type of defect.

  The electronic terminal problem predicting apparatus according to the present invention can analyze and predict the cause of a malfunction occurring in an electronic terminal by collecting predetermined information from a plurality of electronic terminals connected to the network. Alternatively, by collecting predetermined information from the electronic terminals connected to the network, it can be predicted that a malfunction will occur in the electronic terminals. In this prediction, the cause of the failure can also be predicted.

  By being able to predict the cause of a malfunction that may or may have occurred in the electronic terminal, the cause can be understood when a malfunction actually occurs in the electronic terminal. As a result, handling becomes easy.

  In particular, in an environment where an unspecified number of users use an electronic terminal in common, such as daily changes, it is safe for both administrators and users. Management activities and service quality are also improved due to quick response work.

It is a schematic diagram which shows the utilization aspect of the electronic terminal in the accommodation establishment which is an example of an inventor's analysis. It is a schematic diagram which shows the incorporation of the electronic terminal problem prediction apparatus in the specific facility in Embodiment 1 of this invention. It is a block diagram of the electronic terminal problem prediction apparatus in Embodiment 1 of this invention. It is a schematic diagram which shows the classification | category in the classification | category part in Embodiment 1 of this invention. It is a block diagram of the electronic terminal problem prediction apparatus in Embodiment 2 of this invention. It is a block diagram of the electronic terminal problem prediction apparatus in Embodiment 2 of this invention. It is a block diagram of the electronic terminal problem prediction apparatus in Embodiment 2 of this invention. It is a block diagram of the electronic terminal problem prediction apparatus in Embodiment 2 of this invention.

An electronic terminal problem prediction apparatus according to a first aspect of the present invention includes a receiving unit that receives predetermined information from a plurality of electronic terminals connected to a network,
A classification unit that classifies the predetermined information into a plurality of different types of information;
Based on information type
(1) Predict the cause when an electronic terminal malfunctions,
Or (2) predicting the type of failure that an electronic terminal can cause,
A prediction unit,
The prediction unit predicts including the correspondence between the type information and the type of defect.

  With this configuration, when the electronic terminal connected to the network has a malfunction such as inoperability, the cause of the malfunction can be predicted. Alternatively, it is possible to predict the occurrence of a failure in the future and its cause. As a result, even if a problem occurs in the electronic terminal, the response can be facilitated. Or generation | occurrence | production of a malfunction can be prevented beforehand.

  In the electronic terminal problem prediction apparatus according to the second aspect of the present invention, in addition to the first aspect, the predetermined information includes the state of charge in the electronic terminal, the ON / OFF state of the power supply, the operating state of the application software, and the CPU operating rate. , Memory utilization, CPU temperature, network bandwidth, and network occupancy.

  With this configuration, it is possible to collect and organize events that may cause problems such as inability of the electronic terminal to operate and reception of operations. As a result, it is possible to increase the accuracy of the failure cause prediction.

In the electronic terminal problem prediction device according to the third aspect of the present invention, in addition to the second aspect, the classification unit includes:
Charging status as charging information
Power ON / OFF as startup information
The application software operation status is used as application operation information.
CPU operating rate, memory operating rate, CPU temperature as OS operation information,
The network bandwidth and network occupancy rate are used as network usage information.
Classify.

  With this configuration, the individual predetermined information can be organized so as to be related to the cause prediction of the failure. As a result, it is possible to increase the accuracy of the failure cause prediction.

  In the electronic terminal problem prediction apparatus according to the fourth invention of the present invention, in addition to any of the first to third inventions, the receiving unit sends a command signal for collecting predetermined information to the electronic terminal via the network. By outputting, predetermined information can be received.

  With this configuration, it is possible to reliably collect predetermined information.

  In the electronic terminal problem prediction apparatus according to the fifth invention of the present invention, in addition to any of the first to third inventions, the receiving unit transmits predetermined information spontaneously transmitted by the electronic terminal via the network. Can receive.

  With this configuration, it is possible to reliably receive predetermined information.

In the electronic terminal problem prediction device according to the sixth aspect of the present invention, in addition to any of the third to fifth aspects of the invention, in the prediction of the cause when the electronic terminal is defective, the prediction unit The cause of the malfunction
Based on the charging information, the electronic terminal is charging failure,
The electronic terminal is not activated based on the activation information.
Based on the application operation information, the application software that operates on the electronic terminal is in a malfunctioning state.
Based on the OS information, the OS of the electronic terminal is in a malfunctioning state.
Based on the network usage information, the electronic terminal is in a network connection failure state.
And predicting that

  With this configuration, the cause of the malfunction can be accurately predicted based on the correlation between the information type and the cause.

  In the electronic terminal problem prediction device according to the seventh aspect of the present invention, in addition to any of the first to sixth inventions, the cause predicted when the electronic terminal has a defect based on the result of the prediction unit Is further provided.

  With this configuration, the predicted cause can be visually recognized, and an administrator or the like can immediately take action.

In the electronic terminal problem prediction apparatus according to the eighth aspect of the present invention, in addition to any one of the first to seventh aspects, a recovery signal for instructing recovery to the electronic terminal based on the result of the prediction unit, It further includes a recovery instruction unit that transmits to the electronic terminal,
The recovery signal instructs to reboot the application software or the OS.

  With this configuration, problems with the electronic terminal can be resolved automatically. Or the cause of a malfunction can be solved and the occurrence problem of a malfunction can be reduced more.

  In the electronic terminal problem prediction apparatus according to the ninth aspect of the present invention, in addition to the eighth aspect, the recovery instruction unit displays the recovery method indicated by the recovery signal on the display unit.

  With this configuration, the administrator or the like can recognize the contents to be restored. Make sure that the administrator manages the system.

In the electronic terminal problem predicting apparatus according to the tenth invention of the present invention, in addition to any of the third to fifth inventions, when the electronic terminal predicts the occurrence of a subsequent malfunction, The occurrence of a malfunction of the device
Based on the charging information, the electronic terminal causes a charging failure,
Based on the startup information, the electronic terminal generates a startup failure.
Based on the application operation information, application software that operates on the electronic terminal causes an operation failure,
Based on the OS information, the OS of the electronic terminal causes a malfunction.
Based on the network usage information, the electronic terminal causes a network connection failure.
It is predicted that any trouble will occur afterwards.

  With this configuration, it is possible to predict with high accuracy that a failure may occur in the electronic terminal in the future. At this time, the cause (causal relationship) of the occurrence of the failure can also be predicted. Therefore, in addition to the prevention of the failure, it is possible to perform the corresponding process in advance.

  In the electronic terminal problem prediction apparatus according to the eleventh aspect of the present invention, in addition to the tenth invention, a predictive transmission unit that transmits to the electronic terminal an occurrence prediction of a subsequent failure in the electronic terminal predicted by the prediction unit. In addition.

  With this configuration, it is possible to notify the electronic terminal and the user of the possibility of occurrence of a malfunction. This notification allows the user to take measures to prevent the occurrence of problems.

  In addition to the tenth invention, the electronic terminal problem prediction apparatus according to the twelfth invention of the present invention further includes an occurrence prediction display unit that displays an occurrence prediction of a subsequent defect in the electronic terminal predicted by the prediction unit. .

  With this configuration, it is possible to grasp in advance the possibility of occurrence of a defect.

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

(Embodiment 1)

(Analysis by the inventor)
First, problems when a plurality of electronic terminals connected to a network are installed and used by unspecified users will be described. As described in the related art, an electronic terminal may be installed in each room or space in various facilities such as an accommodation facility, an office, a public facility, and a specific facility. This electronic terminal is used by a user who uses each room in the facility.

  Electronic terminals are not dedicated to users, and are commonly used by different users when users change. That is, a certain electronic terminal is used by different users depending on the day or time. For this reason, the utilization mode by various users is made.

  As an example, there is a usage mode in an accommodation facility as shown in FIG. FIG. 1 is a schematic diagram illustrating a usage mode of an electronic terminal in an accommodation facility, which is an example of the inventor's analysis. The accommodation facility 200 such as a hotel has a plurality of living rooms 210. A different guest stays in each living room 210 every day. Each living room 210 is provided with an electronic terminal 220.

  For example, the lighting device, the air conditioner, the audio equipment, the video equipment, and communication with the front can be performed through the electronic terminal. A guest uses these functions by the electronic terminal 220 as a user. The user can operate the electronic terminal 220 to adjust the air conditioning equipment.

  The accommodation facility 200 has a plurality of living rooms 210. An electronic terminal 220 is provided in each of the plurality of living rooms 210. These electronic terminals 220 are connected to the management apparatus 230 via a network. The management device 230 can receive information from the electronic terminal 220 and transmit a command signal to the electronic terminal 220 through a network connection. With this reception or transmission, the management device 230 can manage the electronic terminal 220.

  Here, different users stay in the room 210 depending on the day. For this reason, the electronic terminal 220 installed in a certain living room 210 is commonly used by different users. One day is used by user A and the other day is used by user B.

  Here, the usage mode of the electronic terminal 220 differs between the user A and the user B depending on their preference and IT literacy. In addition, the content and frequency of use may differ depending on the need. In addition, there are users who handle the electronic terminal 220 carefully, users who are not, or users who are familiar with the electronic terminal 220 and users who are not used to it.

  For this reason, the electronic terminal 220 installed in a certain living room 210 may be inappropriately used by a certain user. For example, it may be used beyond the capabilities of the electronic terminal 220, may be in a state of insufficient charging, a large number of unnecessary application software may be activated, or the main power may be stopped. When such inappropriate use by the user occurs, there is a possibility that a malfunction may occur in the electronic terminal 220 while the user is using it. Alternatively, there is a possibility that a problem will occur when the next user uses it.

  At this time, the user may suffer from problems such as the electronic terminal 220 not starting or operating. At this time, the user may call the front of the accommodation facility 200 and request a response. The person in charge of the front visits the user's room 210 and performs operations such as checking the state of the electronic terminal 220. As described above, there arises a problem that unnecessary time and effort are required for dealing with the malfunction of the electronic terminal 220 that should reduce the effort of the front desk and the user.

  Alternatively, a person in charge of the front desk, a person in charge of management, or a system supplier such as an electronic terminal may be inquired by telephone or the like. In this case, even if the user's explanation is received, the person in charge or the person in charge of management cannot accurately grasp the state of the electronic terminal 220 and it is difficult to cope with the recovery. Or, it takes time to recover, which is not preferable in providing services by the electronic terminal 220.

  Since the electronic terminal 220 installed in the living room 210 is commonly used by an unspecified number of users in this way, problems are likely to occur. In addition, even if a problem occurs, there is a problem that it takes time and effort to deal with it. This is an example of the accommodation facility 200, but the same applies to other cases. On the other hand, although connected to the management device 230 via a network, there is a problem that this network connection is not properly used when a problem occurs.

  The inventor arrived at the present invention based on such analysis.

(Overview)
The overall outline of the electronic terminal problem prediction apparatus according to Embodiment 1 of the present invention will be described with reference to FIGS. FIG. 2 is a schematic diagram showing the incorporation of the electronic terminal problem prediction apparatus in the specific facility according to Embodiment 1 of the present invention. FIG. 3 is a block diagram of the electronic terminal problem prediction apparatus according to Embodiment 1 of the present invention. Hereinafter, the electronic terminal problem prediction apparatus is abbreviated as “prediction apparatus” as necessary.

  A specific facility 100 such as an accommodation facility has a plurality of living rooms 110. An electronic terminal 120 is installed in each of the plurality of living rooms 110. The electronic terminal 120 is used in a living room 110 for a user to control various devices and perform necessary communication work.

  Each of the electronic terminals 120 is connected to the prediction device 1 via the network 140. The network 140 may be wired or wireless. In addition, the network 140 may be already installed in the specific facility 100, or may be installed with the introduction of the prediction device 1 and the electronic terminal 120.

  By being connected via the network 140, the prediction device 1 and the electronic terminal 120 can exchange electronic signals. That is, electronic information such as electronic command signals and electronic data can be exchanged.

  The prediction device 1 includes a reception unit 2, a classification unit 3, and a prediction unit 4.

  The receiving unit 2 receives predetermined information from a plurality of electronic terminals 120 connected to the network 140. The receiving unit 2 may spontaneously receive predetermined information from the plurality of electronic terminals 120 based on its own instruction signal, or may receive predetermined information transmitted from the electronic terminal 120.

  The receiving unit 2 is connected to the electronic terminal 120 via the network 140 so as to be able to receive predetermined information from the electronic terminal 120. Since the prediction device 1 is connected to the network 140, the receiving unit 2 is also connected to the network 140.

  The classification unit 3 classifies the received predetermined information into a plurality of information types that are different types. As will be described later, by classifying the information into appropriate information types, the prediction unit 4 can easily predict the cause of the failure of the electronic terminal or the type of the failure.

  The prediction unit 4 is based on the information type that is the result of classification by the classification unit 3.

(1) Predict the cause when an electronic terminal malfunctions,
Or (2) Predicting the types of defects that can occur in the electronic terminal.

  In the case of (1), that is, when a failure occurs in any of the electronic terminals 120 (single or plural) connected to the network 140, the cause of the failure is predicted. The prediction unit 4 predicts the cause of the malfunction of the electronic terminal 120 after the malfunction occurs.

  Alternatively, in the case of (2), at any one of the electronic terminals 120 (single or plural) connected to the network 140, a trouble occurs later and the kind of the trouble is predicted. By predicting the type of failure that may occur in the future, the prediction unit 4 can present a danger to the electronic terminal 120 that is at risk of failure.

  As described above, the prediction device 1 predicts the cause of the failure after the failure occurs in the electronic terminal 120 based on the predetermined information from the electronic terminal 120. Alternatively, it is predicted that a certain type of malfunction may occur in the electronic terminal 120.

  By predicting the cause of the malfunction, it is possible to easily and quickly handle the electronic terminal 120 in which the malfunction has occurred. This is the same whether the user himself or herself or the person in charge or the administrator handles it.

  This is because the cause of the failure can be predicted, so that the response can be made easily and in a short time.

  Alternatively, it is possible to prompt a warning to the user of the electronic terminal 120 by predicting a problem that may occur in the electronic terminal 120 later. In addition, if a problem occurs after the fact, it is easy for the user or administrator to handle it.

  This is because the failure type is predicted, so that it is possible to avoid the failure, or even if a failure occurs, the type is predicted, so that the response can be performed easily and in a short time.

  In this way, problems as analyzed by the inventor can be solved.

  Next, details and variations of each part will be described.

(Predetermined information)
The receiving unit 2 receives predetermined information from a plurality of electronic terminals 120 connected via the network 140. Here, the predetermined information includes the charging state, power ON / OFF, application software operating state, CPU operating rate, memory operating rate, CPU temperature, network usage band, and network occupation rate in the electronic terminal 120. Of at least one.

  This is because, when the user uses the electronic terminal 120, these elements reflect the usage mode, usage content, usage level, and usage skill of the user. This is because the elements reflecting these elements make it easier for the predetermined information including these elements to predict the malfunction of the electronic terminal 120.

  Here, the malfunction of the electronic terminal 120 is a state in which the electronic terminal 120 does not operate, does not start, or does not accept an operation.

  Depending on the state of charge, the electronic terminal 120 may cause problems such as operation stop. At this time, since the information on the state of charge is obtained as the predetermined information, it can be predicted that the cause corresponding to the malfunction event with the operation stop is insufficient charging. In this regard, since the predetermined information includes the state of charge, it is easy to predict the cause of the malfunction in the electronic terminal 120 and the type of malfunction that may occur in the future.

  The same applies to the power ON / OFF information. For example, the same electronic terminal 120 may leave the room with the previous user turned off. In this state, the next user enters the living room 110 and tries to use the electronic terminal 120. At this time, it may be determined that the electronic terminal 120 cannot be used without noticing that the power is off. In this case, the cause of the malfunction of the electronic terminal 120 for the user is that the power is not turned on.

  When the predicting unit 4 predicts the cause, it can be predicted that the power source is a malfunction due to the power ON / OFF information.

  The operation information of the application software is a predictive material that causes a runaway or freeze of the application software when a failure occurs in the electronic terminal 120. Or it becomes the prediction material that it is a cause that the application software has made the electronic terminal 120 inoperable. In some cases, based on the operation information of the application software, it may be a predictive material that the electronic terminal 120 will cause a malfunction such as operation stop later.

  The CPU operating rate is a predictive material that causes the CPU operating rate to be too high when a failure occurs in the electronic terminal 120. For example, if the operating rate of the CPU increases too much, the electronic terminal 120 may stop operating or not accept operations. With this relevance, the CPU utilization rate is obtained as the predetermined information, so that the prediction device 1 can predict the cause of the malfunction of the electronic terminal. Or, it becomes possible to predict a defect.

  The operation rate of the memory is a predictive material that the cause is that the operation rate of the memory is too high when a failure occurs in the electronic terminal 120. For example, if the operation rate of the memory increases too much, the electronic terminal 120 may stop operating or may not accept operations. Due to this relationship, the operation rate of the memory is obtained as the predetermined information, so that the prediction device 1 can predict the cause of the malfunction of the electronic terminal. Or, it becomes possible to predict a defect.

  The temperature of the CPU is a predictive material that the cause is that the temperature of the CPU is too high when a failure occurs in the electronic terminal 120. If the temperature of the CPU rises too much, the OS of the electronic terminal 120 may not operate, for example, the operation may stop or the operation may not be accepted. Due to this relevance, the cause of the malfunction of the electronic terminal 120 can be predicted by obtaining the CPU temperature as the predetermined information. Alternatively, the occurrence (and type) of a defect can be predicted.

  The use band of the network is a predictive material that the network is congested when a failure occurs in the electronic terminal 120. The electronic terminal 120 may operate while obtaining data via the network 140. At this time, if the network is highly congested, it becomes impossible to operate while obtaining data. That is, problems such as operation difficulties may occur. By obtaining the use band of the network as the predetermined information, the prediction device 1 can predict the cause of the malfunction of the electronic terminal 120. Alternatively, the occurrence (and type) of a defect can be predicted.

  The network occupancy rate is a predictive material that the network congestion is the cause when a failure occurs in the electronic terminal 120. The electronic terminal 120 may operate while obtaining data via the network 140. At this time, if the network is highly congested, it becomes impossible to operate while obtaining data. That is, problems such as operation difficulties may occur. By obtaining the network occupation ratio as the predetermined information, the prediction device 1 can predict the cause of the malfunction of the electronic terminal 120. Alternatively, the occurrence (and type) of a defect can be predicted.

  Since the receiving unit 2 can receive such predetermined information, the predicting unit 4 can predict the cause of a failure that may have occurred and a possible failure after the classification in the classification unit 3 and the like.

  The receiving unit 2 may receive the predetermined information by transmitting a command signal for collecting the predetermined information to the electronic terminal 120. In this case, the receiving unit 2 (or the prediction device 1) transmits a command signal to the electronic terminal 120 connected via the network 140. The electronic terminal 120 that has received this command signal transmits predetermined information to the receiving unit 2. At this time, the receiving unit 2 may transmit the command signal periodically or at a timing when some kind of trigger is applied.

  Alternatively, the electronic terminal 120 may transmit predetermined information to the receiving unit 2. At this time, the electronic terminal 120 may periodically transmit predetermined information to the receiving unit 2 or may transmit it at a timing when some trigger is applied. In this case, that is, the electronic terminal 120 voluntarily transmits predetermined information, and the receiving unit 2 can receive the predetermined information.

  The predetermined information described above is an example, and the present invention is not limited to this. An event (such as an event related to the electronic terminal 120 or an event related to the network 140) that is considered to have a correlation with a malfunction of the electronic terminal 120 may be handled as predetermined information.

(Classification part)
The classification unit 3 classifies the predetermined information into a plurality of information types that are different types. As described above, the receiving unit 2 receives various events as predetermined information. The predetermined information is information that can cause a malfunction of the electronic terminal 120. For this reason, in the prediction part 4, it can use as a prediction material of the cause of the malfunction of the electronic terminal 120. FIG.

  At this time, the predetermined information is related to various events, and it is preferable in the prediction in the prediction unit 4 that each of the predetermined information is classified for each type rather than being handled individually by the prediction unit.

  The classification unit 3 classifies the predetermined information, which is various individual events, according to a certain relevance standard. This classification result is further correlated with the cause of the failure. Based on the information type whose correlation has increased, the prediction unit 4 can increase cause prediction and failure prediction.

  FIG. 4 is a schematic diagram showing classification in the classification unit according to Embodiment 1 of the present invention. FIG. 4 shows an example in which predetermined information is classified into information types. If there is predetermined information other than that shown here, the classification unit 3 appropriately classifies the information type.

  The classification unit 3 performs classification as shown in FIG. Among the predetermined information, the charging state is classified as charging information. The classification unit 3 classifies power ON / OFF as activation information. The classification unit 3 classifies the operation information of the application software as application information. The classification unit 3 classifies the CPU operation rate, CPU temperature, and memory operation rate as OS operation information. The classification unit 3 classifies the network bandwidth and network occupancy rate as network usage information.

  These are as shown in FIG.

  Of course, when predetermined information other than these is received, it may be classified into the existing information types shown in FIG. 4, or a new information type may be provided and classified.

  The classification unit 3 classifies the various pieces of predetermined information as shown in FIG. 4 into information types having certain relevance, so that the prediction unit 4 can predict the cause of the malfunction of the electronic terminal 120. . The classification unit 3 outputs the information type that is the result of the classification to the prediction unit 4.

(Prediction unit)
Based on the information type, the prediction unit 4

(1) Predict the cause when the electronic terminal 120 malfunctions,
Or (2) predicting the type of failure that the electronic terminal 120 may cause.

(Case 1: (1))
In the case of (1), after a failure occurs in one or a plurality of electronic terminals 120 connected to the network 140, the cause of the failure is predicted. As an aspect of the malfunction, the electronic terminal 120 does not start, does not operate, is frozen, does not accept an operation, accepts an operation but does not obtain the result, operation is insufficient, operation speed Is very slow.

  When a certain electronic terminal 120 is in trouble, the prediction unit 4 predicts the cause of the trouble in the electronic terminal 120 as follows. Note that the prediction unit 4 may grasp that the electronic terminal 120 has become defective via the network 140. Alternatively, an administrator who has received an inquiry from a user or the like may grasp that the electronic terminal 120 has failed through an operation of predicting a cause using the prediction device 1.

  The prediction unit 4 receives the information type based on the predetermined information received from the electronic terminal 120 that is in trouble. As described above, the receiving unit 2 continues to receive predetermined information from the electronic terminal 120 connected to the network 140. For this reason, the prediction unit 4 is in a state where it can receive the information type regarding the electronic terminal 120 in which the problem has occurred.

  Based on the charging information, the predicting unit 4 predicts the cause of the malfunction of the electronic terminal 120 that has malfunctioned as a charging malfunction. The charging state can be grasped from the charging information. For example, the amount of charge may be insufficient or lost. The user uses this electronic terminal in a state after being used by the previous user, not his own electronic terminal. For this reason, depending on the usage state of the previous user, charging may be insufficient. However, current users may not be able to grasp this situation.

  In such a state, the current user may face a malfunction of the electronic terminal 120 such as not operating. In this state, the user does not know the cause of the malfunction of the electronic terminal 120 and the manager of the facility cannot often grasp immediately.

  The cause of the malfunction of the electronic terminal 120 in which such a malfunction has occurred can be predicted by the prediction unit 4 as a charging malfunction based on the charging information. This prediction is automatically made by the prediction unit 4. The administrator or user who has received this result can solve the problem by charging the electronic terminal 120. Alternatively, the administrator can give advice to the user that the problem is solved by charging the user.

  Even if it is a simple cause such as a charging failure, it is often difficult for a user or administrator to grasp the cause of the failure immediately by being used daily by an unspecified number of different users. Even in such a case, the cause is predicted by the prediction device 1, so that the response is easy.

  Alternatively, the prediction unit 4 can predict that the cause of the malfunction of the electronic terminal 120 is a state where the electronic terminal 120 is not activated based on the activation information. For example, a user in front of the electronic terminal 120 may turn off the electronic terminal 120. This is because there is no need for use.

  The current user who is the next user tries to start using the electronic terminal 120 without knowing this situation. However, naturally, it is often not noticed that the previous user has turned off the power. In many cases, the administrator is inquired that the electronic terminal 120 has a malfunction, assuming that the electronic terminal 120 operates.

  In this case, the prediction unit 4 can find information that the power is turned off in the activation information. As a result, if the electronic terminal 120 is not activated, the cause of the malfunction can be predicted based on the activation information. Based on the prediction result, the administrator can advise the user to turn on the electronic terminal 120. With this advice, the user can solve the problem immediately and can use the electronic terminal 120.

  The prediction unit 4 predicts the cause of the malfunction of the electronic terminal 120 based on the application operation information, assuming that the application software is in an operation failure state. For example, application software may freeze or run away. This freeze or runaway may affect the operation of the electronic terminal 120 itself, causing problems such as inoperability and inability to accept operations.

  When the user is not familiar with the operation of the electronic terminal 120, the malfunction of the application software may occur, or the malfunction of the application software may occur due to the malfunctioning operation performed by the previous user.

  In this case, the prediction unit 4 predicts a malfunction of the application software as a cause of the malfunction of the electronic terminal 120 based on the application operation information. An administrator or a user who has received the prediction result can solve the problem by stopping the application software causing the malfunction.

  The prediction unit 4 can also predict that the cause of the malfunction of the electronic terminal 120 is a malfunction of the OS based on the OS information. Problems related to the CPU and memory cause a malfunction of the OS. This malfunction of the OS causes problems such as the inability of the electronic terminal 120 to operate.

  For example, if the user is unfamiliar with the operation of the electronic terminal 120, a lot of applications may be started, and the CPU operation rate may increase too much or the memory operation rate may increase too much. . Users do not know the cause of this, and the administrator who is inquired by telephone or the like often cannot grasp the situation.

  Under such circumstances, the prediction unit 4 can predict that the OS malfunction is the cause. The administrator who has received the prediction result can advise reactivation of the electronic terminal 120 and can immediately resolve problems such as operation stoppage.

  Further, the prediction unit 4 can predict the cause of the malfunction of the electronic terminal 120 as being a network connection malfunction state based on the network usage information. The electronic terminal 120 may not be able to operate properly due to a faulty network connection state. For example, steering is not accepted or the operation is very slow.

  The prediction unit 4 predicts the cause of the network connection failure based on the network usage information. An administrator who has received the prediction result can restart the network 140 or reset the network connection of the electronic terminal 120. As a result, the defective electronic terminal 120 can be operated.

  As described above, since the prediction unit 4 can predict the cause of the malfunction of the electronic terminal 120, the malfunction of the electronic terminal 120 that has caused the malfunction can be solved.

  Thus, the prediction unit 4 can predict the cause of the malfunction of the electronic terminal 120 in which the malfunction has occurred. Based on the prediction result, the user and the administrator can easily and quickly solve the problem.

(Part 2: (2))
Based on the information classification, the prediction unit 4 can predict that an electronic terminal 120 will cause a problem later (afterwards). At this time, it can be predicted together with the cause of the malfunction. In other words, the type of malfunction that occurs can be predicted.

  The prediction unit 4 can predict that the electronic terminal will cause a charging failure based on the charging information. The charging information includes information on the charging state. Based on this charging information, the prediction unit 4 can predict that a charging failure will occur as the type of failure in the electronic terminal 120. As a result, this prediction predicts that the electronic terminal 120 will malfunction.

  Based on the charging information based on the charging state obtained as the predetermined information, the prediction unit 4 can predict the possibility that the electronic terminal 120 will cause an operation stop or the like due to a charging failure. By this prediction, it is possible to grasp in advance that a malfunction such as operation stop occurs in the electronic terminal 120, and it is possible to take a precaution such as charging. This proactive action has a benefit to the user.

  The prediction unit 4 can predict that the electronic terminal will cause a start failure based on the start information. The startup information includes information about power ON / OFF. Based on this activation information, the prediction unit 4 can predict that an activation failure will occur as the type of failure in the electronic terminal 120. As a result, the prediction predicts that the electronic terminal 120 will not be activated.

  By this prediction, it is possible to prevent the occurrence of a malfunction by turning on the power of the electronic terminal 120 in advance. This advance prevention creates user benefits. Of course, the administrator side can prevent the inconvenience of the user in advance, and the reliability in providing the service is increased.

  The prediction unit 4 can predict that application software that operates on the electronic terminal 120 will cause an operation failure based on the application operation information. This is a problem such as application software not working or misbehaving.

  By this prediction, the administrator can prevent the occurrence of this problem in advance by rebooting the electronic terminal 120 or the like. This advance prevention creates user benefits. Of course, the administrator side can prevent the inconvenience of the user in advance, and the reliability in providing the service is increased.

  The prediction unit 4 can predict that the OS of the electronic terminal 120 will cause an operation failure based on the OS information. A malfunction such as the electronic terminal 120 not accepting an operation due to an OS operation malfunction can be predicted. The prediction unit 4 can predict the type of failure (failure and its cause) and notify the administrator.

  The administrator can prevent the occurrence of this problem in advance by, for example, remotely rebooting the electronic terminal 120 that may cause an OS problem. The benefits of advance prevention lie with both users and administrators.

  The prediction unit 4 can predict that the electronic terminal 120 will cause a network connection failure based on the network information. For example, it can be predicted that a network connection failure will occur in the electronic terminal 120 due to an increase in the occupation ratio of the network.

  If it can be predicted that a network connection failure will occur, the network connection failure of the electronic terminal 120 can be prevented in advance by resetting the network or resetting the connection. Such advance prevention can prevent the electronic terminal 120 from malfunctioning.

  As described above, the prediction unit 4 can predict the occurrence of a problem in advance. In this prediction, since the type of failure (cause of failure) is included, pre-measures can be easily implemented. As a result, the convenience and reliability of the service via the electronic terminal 120 are improved.

  (Embodiment 2)

  Next, a second embodiment will be described. In the second embodiment, additional devices will be described.

(Display section)
FIG. 5 is a block diagram of an electronic terminal problem prediction apparatus according to Embodiment 2 of the present invention. The prediction apparatus 1 in FIG. 5 further includes a display unit 5.

  The display unit 5 displays the result predicted by the prediction unit 4. For example, the display unit 5 displays the cause of the failure predicted when a failure occurs in the electronic terminal 120. From the display on the display unit 5, for example, the administrator of the prediction device 1 can recognize the cause of the malfunction of the electronic terminal 120 in which the malfunction has occurred.

  When the administrator receives a notification that a problem has occurred in a certain electronic terminal 120, it is possible to immediately start the problem handling in that electronic terminal 120. It is convenient for users and convenient for administrators. Of course, it is easy for the administrator to recognize the cause of the malfunction from the display on the display unit 5, and it is possible to respond smoothly to the user.

  The display unit 5 may be provided in the prediction device 1 or may be provided separately from the prediction device 1. For example, the prediction device 1 may be incorporated in a facility server, and an administrator who manages the facility network or the entire system of the electronic terminal 120 may be in another location. In this case, the display unit 5 may be provided in a place where the manager is present.

  When the display unit 5 displays the cause of the predicted failure, the administrator can immediately grasp the cause of the failure. As a result, it is possible to immediately deal with the electronic terminal 120 and the user.

  The display unit 5 can also display a future prediction that a certain electronic terminal 120 will cause a malfunction. The possibility of a future malfunction predicted by the prediction unit 4 can be displayed. The administrator who sees this can make a prior response to the corresponding electronic terminal 120 or contact the user. This measure can prevent the occurrence of problems.

  As described above, the presence of the display unit 5 facilitates human work.

(Recovery instruction section)
FIG. 6 is a block diagram of an electronic terminal problem prediction apparatus according to Embodiment 2 of the present invention. The prediction device 1 further includes a recovery instruction unit 6. The recovery instruction unit 6 transmits a recovery signal instructing recovery to the electronic terminal 120 based on the prediction result of the prediction unit 4.

  For example, the prediction unit 4 predicts the cause of the malfunction that has occurred in the electronic terminal. At this time, it is assumed that the prediction unit 4 predicts the cause of the failure as an operation failure of the application software. The prediction unit 4 outputs the prediction result to the recovery instruction unit 6.

  The recovery instruction unit 6 outputs a signal for causing the corresponding electronic terminal 120 to reboot based on the result of the operation failure of the application software. This is because the malfunction of the application software can be reset by rebooting. The problem that the electronic terminal 120 does not operate can be solved by the reset.

  Alternatively, when the cause is an OS malfunction, the recovery instruction unit 6 transmits an OS reboot signal.

  As described above, the recovery instruction unit 6 transmits a signal instructing to reboot the application software or the OS as a signal to instruct recovery. This is because if these signals are transmitted, the cause of the problem is often solved. If the cause of the problem is solved, the problem of the electronic terminal 120 itself is also solved.

The cause of the predicted malfunction is automatically resolved by the recovery instruction unit 6.
In some cases, the prediction unit 4 may predict a malfunction that may occur in the future of the electronic terminal 120. At this time, the prediction unit 4 outputs the prediction result to the recovery instruction unit 6. In response to this prediction result, the recovery instruction unit 6 transmits a recovery signal to the electronic terminal 120 that may cause a malfunction.

  At this time, the recovery signal is a reboot signal of application software or an OS reboot signal. When these signals reach the electronic terminal 120, the problem in the electronic terminal 120 can be solved. By eliminating the problem, it is possible to prevent problems such as the electronic terminal 120 becoming inoperable in the future.

  Further, as shown in FIG. 6, the recovery instruction unit 6 preferably displays the recovery method indicated by the recovery signal on the display unit 5.

  By displaying the recovery method indicated by the recovery signal on the display unit 5, there is a merit that the administrator can easily grasp the situation. Of course, it is possible to grasp the contents of the recovery signal automatically transmitted to the user, and it is easy to explain to the user.

(Predictive sending part)
FIG. 7 is a block diagram of an electronic terminal problem prediction apparatus according to Embodiment 2 of the present invention. The prediction device 1 in FIG. 7 further includes a prediction transmission unit 7.

  As described above, the prediction unit 4 predicts (1) the cause of the malfunction in the electronic terminal 120 in which the malfunction has occurred, and (2) the malfunction (and the cause) that may occur in the electronic terminal. In the case of (2), based on the predetermined information collected from the electronic terminal 120, the electronic terminal 120 predicts that a malfunction such as inoperability or operation acceptance due to a certain cause may occur in the future.

  In the case of (2) predicting a future problem, it is necessary for the administrator to grasp and take a prior action, but it is more important for the user of the electronic terminal 120 to recognize it. For example, if a malfunction of the application software is predicted, it is preferable that the user stops the application software. Or if the possibility of the malfunction by insufficient charge is estimated, if a user charges, future malfunction generation | occurrence | production in the electronic terminal 120 can be prevented.

  Thus, in the case where it is predicted that a failure will occur in the electronic terminal 120 in the future, the response on the user side is effective in preventing the occurrence of a failure in the future. From this point, it is appropriate that the electronic terminal 120 is notified of the predicted result of occurrence so that the user can grasp it. Since the prediction result includes a cause that may cause a malfunction (such as an OS malfunction or a charging malfunction), the user can take a countermeasure based on this.

  Moreover, the prediction transmission part 7 may transmit to the electronic terminal 120 what the meaning of the recovery signal by the recovery instruction part 6 demonstrated in FIG. The meaning of the recovery signal is to restart (reboot) the electronic terminal when, for example, an OS malfunction can cause a malfunction of the electronic terminal 120.

  That is, the predictive transmission unit 7 transmits to the electronic terminal 120 the prediction of the occurrence of the malfunction of the electronic terminal 120 due to the malfunction of the OS and the content prompting the restart corresponding thereto. The user can visually recognize the transmitted content on the electronic terminal 120. For example, the transmitted content may be displayed on the electronic terminal 120. You can force it to be displayed in a pop-up manner.

  This is because the user who sees the display result can respond.

(Occurrence prediction display part)
FIG. 8 is a block diagram of an electronic terminal problem prediction apparatus according to Embodiment 2 of the present invention. The prediction device 1 further includes an occurrence prediction display unit 8 that displays the subsequent failure occurrence prediction result of the electronic terminal 120 predicted by the prediction unit 4.

  The display on the occurrence prediction display unit 8 may be displayed on the display unit 5. However, the prediction unit 4 predicts (1) the cause of the malfunction in the electronic terminal 120 in which the malfunction has occurred, and (2) the malfunction (and the cause) that may occur in the electronic terminal. For this reason, in order to distinguish the prediction of (2) and make the administrator understand the prediction, the occurrence prediction display unit 8, which is a different element from the display unit 5, may display the prediction result of the occurrence of the defect.

  The occurrence prediction display unit 8 displays the future occurrence of the defect, so that the administrator can systematically and comprehensively grasp the occurrence of the defect and the cause of the failure in any of the electronic terminals 120. it can.

  As described above, the prediction device 1 according to the second embodiment predicts the cause of the failure of the electronic terminal 120 in which the failure has occurred, or predicts that a failure will occur in the electronic terminal 120 in the future. In addition, it becomes easy to notify these to the administrator and the user. Alternatively, it can be automatically restored or the cause can be removed.

  As described above, since the cause of the failure and the occurrence of the failure can be predicted, it becomes possible to quickly and easily cope with the failure in the electronic terminal that is used by an unspecified number of users. As a result, the service providing level of the system provider can be raised. Since the user can use the electronic terminal with peace of mind, the system can be reliable.

  The prediction device 1 may be a manufactured device or may be incorporated in a general-purpose computer. In the latter case, it may be incorporated into a general-purpose computer serving as a server for managing the network and electronic terminal system. At this time, necessary hardware and software may be incorporated, or only software may be incorporated.

  The electronic terminal problem prediction apparatus described in the first and second embodiments is an example for explaining the gist of the present invention, and includes modifications and alterations without departing from the gist of the present invention.

DESCRIPTION OF SYMBOLS 1 Electronic terminal problem prediction apparatus 2 Receiving part 3 Classification | category part 4 Prediction part 5 Display part 6 Recovery instruction | indication part 7 Prediction transmission part 8 Occurrence prediction display part 100 Facility 110 Living room 120 Electronic terminal 140 Network

Claims (12)

A receiving unit that receives predetermined information from a plurality of electronic terminals connected to the network;
A classification unit for classifying the predetermined information into a plurality of information types of different types;
Based on the information type,
(1) Predicting the cause when the electronic terminal has a malfunction,
Or (2) predicting the type of failure that the electronic terminal may cause,
A prediction unit,
The said prediction part is an electronic terminal problem prediction apparatus which estimates including the correspondence of the said type information and the said kind of malfunction. The predetermined information includes at least the state of charge in the electronic terminal, power ON / OFF, application software operating state, CPU operating rate, memory operating rate, CPU temperature, network usage band, and network occupation rate. The electronic terminal problem prediction apparatus according to claim 1, which is one. The classification unit includes the predetermined information.
The charging state as charging information,
ON / OFF of the power supply as startup information
The operation state of the application software as application operation information,
The operating rate of the CPU, the operating rate of the memory, and the temperature of the CPU are used as OS operation information.
The network usage bandwidth and network occupancy rate are used as network usage information.
The electronic terminal problem prediction device according to claim 2, wherein classification is performed.   The electronic terminal problem prediction according to any one of claims 1 to 3, wherein the receiving unit can receive the predetermined information by outputting a command signal for collecting the predetermined information to the electronic terminal via the network. apparatus.   The electronic terminal problem prediction apparatus according to claim 1, wherein the receiving unit can receive the predetermined information that the electronic terminal spontaneously transmits via the network. In the cause prediction when the electronic terminal has a failure, the prediction unit determines the cause of the failure of the electronic terminal,
Based on the charging information, the electronic terminal has a charging failure.
Based on the activation information, the electronic terminal is not activated.
Based on the application operation information, the application software that operates in the electronic terminal is in a malfunctioning state.
Based on the OS information, the OS of the electronic terminal is in a malfunctioning state.
Based on the network usage information, the electronic terminal is in a network connection failure state,
The electronic terminal problem predicting apparatus according to claim 3, wherein the electronic terminal problem predicting apparatus predicts as being any of the above.   The electronic terminal problem prediction device according to claim 1, further comprising a display unit that displays a cause predicted when the electronic terminal has a problem based on a result of the prediction unit. Based on the result of the prediction unit, further comprising a recovery instruction unit that transmits a recovery signal instructing recovery to the electronic terminal to the electronic terminal,
The electronic terminal problem prediction apparatus according to claim 1, wherein the recovery signal instructs a reboot of the application software or a reboot of the OS.   The electronic terminal problem prediction device according to claim 8, wherein the recovery instruction unit displays a recovery method indicated by the recovery signal on the display unit. In the case where the electronic terminal predicts the occurrence of a subsequent failure, the prediction unit determines the occurrence of the failure in the electronic terminal,
Based on the charging information, the electronic terminal causes a charging failure,
Based on the startup information, the electronic terminal causes a startup failure,
Based on the application operation information, application software that operates in the electronic terminal causes an operation failure,
Based on the OS information, the OS of the electronic terminal causes a malfunction.
Based on the network usage information, the electronic terminal causes a network connection failure,
The electronic terminal problem prediction device according to claim 3, wherein the problem is predicted to occur afterward.   The electronic terminal problem prediction device according to claim 10, further comprising a prediction transmission unit that transmits the occurrence prediction of a subsequent failure in the electronic terminal predicted by the prediction unit to the electronic terminal.   The electronic terminal problem prediction device according to claim 10, further comprising an occurrence prediction display unit configured to display an occurrence prediction of a subsequent defect in the electronic terminal predicted by the prediction unit.