KR102335967B1 - Device and method for detecting computer hardware anomalies - Google Patents

Abstract

According to one embodiment of the present invention, provided is a device for detecting computer hardware anomalies, which includes: a state information collecting portion which collects state information for each hardware and digitizes the information in a preset unit for determining the state of the hardware; an anomaly detection portion which establishes an anomaly determination criterion of the hardware in consideration of the digitized state information for each hardware and characteristic information of the hardware; an image generation portion which divides the digitized state information into stages according to the anomaly determination criterion to generate images for each stage; an output portion which outputs the digitized state information, the images for each stage, and an anomaly determination result of the hardware; and a communication portion which generates and communicates anomaly detection information from the hardware anomaly detection.

Description

DEVICE AND METHOD FOR DETECTING COMPUTER HARDWARE ANOMALIES

The present application relates to an apparatus and method for detecting computer hardware anomalies.

Typically, PC (Personal Computer) vendors or manufacturers provide consumers with a warranty period of one year or more while selling PCs. The PC sales company or the maintenance company operated or entrusted by the manufacturer will take responsibility for the maintenance of the PC that occurs during the warranty period.

At this time, consumers who are unfamiliar with computer failures or problems immediately call a maintenance company and request a business trip service even if a minor problem occurs due to a virus or hardware defect. This business trip service basically requires time and cost for maintenance personnel to travel to the destination, time and cost for maintenance personnel arriving at the destination to determine the cause of the failure, and time and cost for troubleshooting. It has been pointed out as a problem in PC sales as it has been passed on to the burden of the seller or manufacturer.

Moreover, the recent PC specifications have developed a lot in technology compared to when the PC was first distributed, and the types of devices integrated (integrated) on the main board of the PC body and the types of peripheral devices to be connected increased. When this is supplied, there is a problem in that the booting process that causes the user to put the PC into a usable standby state and maintenance for the smooth use of the PC become complicated.

The background technology of the present application is disclosed in Korean Patent Application Laid-Open No. 10-2014-0147159.

An object of the present application is to provide an apparatus and method for detecting computer hardware abnormalities that can be provided to users and management companies by monitoring the state of computer hardware in real time and detecting abnormal occurrences in order to solve the problems of the prior art do it with

An object of the present application is to provide an apparatus and method for detecting abnormality in computer hardware that can quantify the state of computer hardware so that the state of computer hardware can be easily identified.

However, the technical problems to be achieved by the embodiment of the present application are not limited to the technical problems as described above, and other technical problems may exist.

As a technical means for achieving the above technical problem, the computer hardware abnormality detection apparatus according to an embodiment of the present application collects state information for each hardware and quantifies the state information in a preset unit for determining the state of the hardware; An abnormality detection unit for establishing an abnormality determination criterion of the hardware in consideration of the quantified state information for each hardware and the characteristic information of the hardware, dividing the quantified state information into stages according to the abnormality determination criterion to generate a step-by-step image It may include an image generating unit, an output unit for outputting the digitized state information, the step-by-step image and an abnormality determination result of the hardware, and a communication unit for generating and communicating abnormality detection information from the hardware abnormality detection.

According to an embodiment of the present application, the state information includes at least one of an identifier of the hardware, temperature, clock speed, fan speed, usage and capacity, and the state information collecting unit collects each of the state information in the same advance. It can be converted to a set unit and digitized.

According to an embodiment of the present application, the output unit may output the representative state information by setting representative state information for each hardware among the state information of the hardware.

According to an embodiment of the present application, the abnormality detection unit sets an abnormality determination criterion for each hardware for each of the state information, and applies a weight to the abnormality determination criterion in consideration of characteristic information including a function for each hardware and a usage environment. can be given

According to an embodiment of the present application, the abnormality detection unit may generate abnormality cause information for each hardware based on state information of the hardware in which the abnormality is detected.

According to an embodiment of the present application, the abnormality detection unit determines the abnormality caused by software or the hardware itself abnormality in consideration of the types of state information of a plurality of hardware in which the abnormality is detected and characteristic information for each hardware, and collects the abnormality cause information. can create

According to an embodiment of the present disclosure, the communication unit may transmit the abnormality detection information together with the abnormality cause information to a user terminal, a hardware management server, and a hardware manager terminal.

According to an embodiment of the present application, the image generator may generate the image for each step by dividing the image into normal, caution, and dangerous steps according to the abnormality determination criterion.

The computer hardware abnormality detection method according to an embodiment of the present application includes the steps of collecting state information for each hardware and quantifying it in a preset unit for determining the state of the hardware, the quantified state information for each hardware and characteristic information of the hardware Establishing an abnormality determination criterion of the hardware in consideration of The method may include outputting an abnormality determination result, and generating and communicating abnormality detection information from the hardware abnormality detection.

The computer hardware abnormality detection system according to an embodiment of the present application collects state information for each hardware, quantifies it in a preset unit for determining the state of the hardware, and compares the quantified state information for each hardware and the characteristic information of the hardware Hardware that establishes an abnormality determination criterion of the hardware in consideration, divides the digitized state information into stages according to the abnormality determination criterion, generates a step-by-step image, generates abnormality detection information from the hardware abnormality detection, and communicates It may include an abnormality detection device and a user terminal for receiving and outputting the numerical information for each hardware, the step-by-step image, and the abnormality detection information from the hardware abnormality detection device.

The above-described problem solving means are merely exemplary, and should not be construed as limiting the present application. In addition to the exemplary embodiments described above, additional embodiments may exist in the drawings and detailed description.

According to the above-described problem solving means of the present application, it is possible to provide a computer hardware abnormality detection apparatus and method capable of monitoring the state of computer hardware in real time, detecting the occurrence of an abnormality, and providing it to a user and a management company.

According to the above-described problem solving means of the present application, it is possible to provide a computer hardware abnormality detection apparatus and method capable of quantifying the state so that the state of the computer hardware can be easily identified.

1 is a diagram illustrating the configuration of a computer hardware abnormality detection system according to an embodiment of the present application.
2 is a diagram illustrating a configuration of a computer hardware abnormality detection apparatus according to an embodiment of the present application.
3 and 4 are diagrams illustrating examples of quantified state information for each hardware of the computer hardware abnormality detection apparatus 100 according to an embodiment of the present application.
5 is a diagram illustrating another example of outputting state information of an apparatus for detecting abnormality in computer hardware according to an embodiment of the present application.

Hereinafter, embodiments of the present application will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art can easily implement them. However, the present application may be implemented in several different forms and is not limited to the embodiments described herein. And in order to clearly explain the present application in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout this specification, when a part is "connected" with another part, this includes not only the case where it is "directly connected" but also the case where it is "electrically connected" with another element interposed therebetween. do.

Throughout this specification, when a member is positioned “on”, “on”, “on”, “on”, “under”, “under”, or “under” another member, this means that a member is positioned on the other member. It includes not only the case where they are in contact, but also the case where another member exists between two members.

Throughout this specification, when a part "includes" a certain component, it means that other components may be further included, rather than excluding other components, unless otherwise stated.

1 is a diagram illustrating the configuration of a computer hardware abnormality detection system according to an embodiment of the present application.

Referring to FIG. 1 , the computer hardware abnormality detection system includes a computer hardware abnormality detection device 100 , a computer device 200 installed with a program interworking with the computer hardware abnormality detection device 100 , and a computer hardware abnormality detection device 100 and It may include a user terminal 300 on which an interworking application is installed. The computer hardware abnormality detection apparatus 100 may monitor the hardware state of the computer device 200 , detect an abnormality occurring in the hardware, and transmit the monitoring and abnormality detection to the user terminal 300 . The computer hardware anomaly detection device 100, the computer device 200, and the user terminal 300 may communicate with each other through the network 10, and the network 10 may communicate with each other between nodes such as terminals and servers. It refers to a connection structure capable of exchanging information in the Network, Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), wifi network, Bluetooth network, satellite broadcasting network, analog broadcasting networks, Digital Multimedia Broadcasting (DMB) networks, and the like are included, but are not limited thereto.

In addition, the computer device 200 and the user terminal 300 are a smart phone (Smartphone), a smart pad (SmartPad), a smart TV, a tablet PC and the like and PCS (Personal Communication System), GSM (Global System for Mobile communication), PDC ( Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), It may include all types of wireless communication devices such as a Wireless Broadband Internet (Wibro) terminal.

2 is a diagram illustrating a configuration of a computer hardware abnormality detection apparatus according to an embodiment of the present application.

Referring to FIG. 2 , the computer hardware abnormality detection apparatus 100 may include a state information collection unit 110 , an abnormality detection unit 120 , an image generation unit 130 , an output unit 140 , and a communication unit 150 . have. The state information collection unit 110 may collect state information for each hardware of the computer device 200 and quantify the state information in a preset unit for determining the state of the hardware. The state information collection unit 110 may monitor each hardware to collect state information in real time, and the state information may include at least one of an identifier of hardware, temperature, clock speed, fan speed, usage, and capacity. . The identifier means the name of the hardware function, for example, each hardware such as CPU (Central Processing Unit), GPU (Graphic Processing Unit), RAM (Random Access Memory), HDD (Hard Disk Drive), and main board. It may be a name referring to Since the purpose and role of each hardware are different, the state information collected for each hardware may also be different according to the purpose and role of the hardware. For example, in the case of CPU, status information including usage, temperature, clock speed, and fan speed may be collected, and in the case of HDD, status information including total capacity, used capacity, and remaining capacity may be collected. . Numericalization of state information for each hardware will be described with reference to FIG. 3 .

3 and 4 are diagrams illustrating examples of quantified state information for each hardware of the computer hardware abnormality detection apparatus 100 according to an embodiment of the present application.

The status information shown in FIGS. 3 and 4 represents a screen output through an application installed in the user terminal 300 . Referring to FIG. 3 , the state information collecting unit 110 may quantify state information for each hardware in a preset unit, for example, a percentage. As the unit indicating the processing speed of the CPU is Ghz and the unit indicating the usable speed of the RAM is Mhz, the unit indicating the state may be different for each hardware. Accordingly, the state information collection unit 110 converts all state information of the hardware into a percentage, which is the same unit, and digitizes it, so that it is possible to easily understand the usage, effective rate, temperature, and performance (processing speed, etc.) of each hardware.

In order to unify the state information for each hardware into the same unit, the state information collection unit 110 does not quantify each state information by hardware simply as a percentage, but quantifies it as a percentage in consideration of the unit, maximum, and minimum values for each state information of the hardware. can do. Specifically, the digitized state information may be transmitted to the user terminal 300 by the output unit 140 to be described later so that the user can recognize the current state of the hardware through the digitized state information. In addition, the abnormality detection unit 120 may establish a criterion for determining an abnormality of the hardware by using the digitized state information. Accordingly, the state information collection unit 110 may quantify the state information in consideration of hardware specifications. For example, the temperature of the GPU rises to 80 to 90 degrees when processing a graphics-related process. In addition, the GPU is designed to withstand temperature rise above 100 degrees. At this time, if the temperature of the GPU is simply quantified as a percentage, it is output as 80% to 90%, and even if this number is a normal value, it may be difficult for a user who viewed this number to easily identify that the current GPU is in a normal state. Accordingly, the abnormality detection unit 120 may quantify the state information for each hardware so that it is displayed as a numerical value that is easy to determine whether the state is normal or abnormal through the digitized state information.

Referring to FIGS. 3 and 4 , the state information collection unit 110 may quantify each state information of hardware. As described above, since roles and specifications are different for each hardware, as shown in FIGS. 3 and 4 , the types of digitized state information for each hardware may be different.

The abnormality detection unit 120 may establish a hardware abnormality determination criterion in consideration of digitized state information for each hardware and hardware characteristic information. Judging an abnormality using the same abnormality criterion for all hardware does not make correct abnormality judgment. Also, even if each hardware has a common specification (eg, temperature), if the same abnormality criterion is applied, incorrect abnormality judgment is not made. Abnormal judgments may be made. For example, since the temperature range (minimum temperature, maximum temperature) of the RAM and the temperature range of the CPU may be different, it is necessary to set an abnormality determination criterion for each hardware for each state information.

In addition, since each hardware is designed to have different durability for each hardware according to a role and usage environment, the abnormality detection unit 120 may set an abnormality determination criterion for each hardware in consideration of the characteristics of the hardware. As in the above example, the GPU rises to 80 to 90 degrees during operation, while the RAM rises to about 30 to 40 degrees during operation. Therefore, it is impossible to accurately determine an abnormality based on the same abnormality criterion for the temperature of the hardware. Accordingly, the abnormality detection unit 120 may set the abnormality determination criterion in consideration of hardware-specific functions, that is, characteristic information including maximum performance, minimum performance, and use environment. Also, the abnormality detection unit 120 may give weight to the abnormality determination criterion in consideration of the characteristic information. The hardware usage environment takes into account different state information depending on the role and function of each hardware when the computer hardware is driven. For example, in the case of a GPU, the temperature and fan speed are It is different, and the more graphic the computer, the more frequent the heat is generated. On the other hand, in the case of RAM, the temperature change is relatively small compared to other hardware even during process execution. Accordingly, the abnormality detection unit 120 considers the characteristic information on the function of each hardware and the usage environment, for example, a temperature at which it can be determined that an abnormality has occurred in the GPU and a temperature at which it can be determined that an abnormality has occurred in the RAM. can be set individually. In addition, since the GPU generates heat at a relatively high temperature compared to other hardware during operation, a weight may be assigned to the abnormality determination criterion in consideration of the characteristic information of the GPU. It is self-evident to set an abnormality judgment criterion and assign a weight in consideration of the characteristic information of each hardware as well as the GPU.

The abnormality detection unit 120 may detect whether an abnormality has occurred in the hardware according to real-time state information of the hardware in consideration of the abnormality determination criterion. Also, the abnormality detection unit 120 may generate abnormality cause information for each hardware based on the state information of the hardware in which the abnormality is detected. According to the abnormality determination criterion, hardware may be divided into normal, caution, and dangerous stages according to status information. In addition, the abnormality detection unit 120 may generate abnormal cause information by determining an abnormality caused by software or an abnormality of the hardware itself in consideration of the types of state information of the plurality of hardware in which the abnormality is detected and characteristic information for each hardware. Also, the abnormality detection unit 120 may determine the status of software and hardware installed in the computer device 200 , and may generate abnormal cause information in consideration of the installation status of the software and hardware.

For example, the temperature and usage of RAM are normal, but when the CPU and GPU temperatures rise to a dangerous level compared to the number and types of processes to be executed, the abnormality detection unit 120 detects CPU and It is possible to generate information on the cause of anomalies by identifying that the GPU temperature has risen. As another example, when the temperature and usage of the CPU and RAM are high at a dangerous level, the abnormality detection unit 120 may generate abnormal cause information indicating that the CPU and RAM are overloaded due to excessive multitasking. As another example, when the temperature of the CPU is at a dangerous level or the fan speed does not correspond to the CPU temperature and is maintained at a low speed, it is possible to generate information about the cause of the anomaly as an abnormality in the fan.

The image generator 130 may generate a step-by-step image by dividing the digitized state information into steps according to the abnormality determination criterion. The image generating unit 130 may generate an image for each hardware step by dividing it into normal, caution, and dangerous steps according to the abnormality determination criteria. Referring to FIG. 3 , the image generating unit 130 may generate an image 131 associated with state information for each hardware, but may generate each image of a plurality of state information according to hardware specifications. Also, the image generator 130 may generate an image by changing at least one of a shape, a color, and a size of the image at each stage. For example, as illustrated in FIG. 3 , when the state information on the temperature of the GPU is at a level of a dangerous stage, the image generator 130 may generate the image 132 for each stage by changing colors.

The output unit 140 may output digitized state information, step-by-step images, and hardware abnormality determination results. The output unit 140 may output representative state information by setting representative state information for each hardware among state information of hardware. Although the state information shown in FIGS. 3 and 4 shows that all state information of each hardware is output, the output unit 140 displays one representative state information related to the function of the corresponding hardware among all state information of the hardware. By setting, only representative state information of each hardware may be output. For example, in the case of a CPU, the clock speed may be the representative state information, and in the case of the HDD, the remaining capacity may be set as the representative state information.

5 is a diagram illustrating another example of outputting state information of an apparatus for detecting abnormality in computer hardware according to an embodiment of the present application.

Referring to FIG. 5 , in addition to the images shown in FIGS. 3 and 4 , the output unit 140 may output a table for identifying the status of each hardware state information. According to the table shown in FIG. 5 , the presence or absence of a normal state is displayed for each state information of each hardware, and in the case of the state information in which an abnormality has occurred, the background color of the corresponding state information may be different and output.

The communication unit 150 may communicate by generating abnormality detection information from hardware abnormality detection. When the abnormality detection unit 120 detects a hardware abnormality, the communication unit 150 may generate abnormality detection information informing that the hardware abnormality is detected and transmit the generated abnormality detection information to the outside. Specifically, the communication unit 150 may transmit the abnormality detection information together with the abnormality cause information to the user terminal 300 , the hardware management server, and the hardware manager terminal. The user terminal 300 may be a terminal of a user who uses the computer device 200 , and the hardware management server supplies hardware of the computer device 200 and provides maintenance and maintenance services for the hardware of the computer device 200 . It may be a server device that monitors Also, the hardware manager terminal may be a terminal of a manager that monitors hardware of the computer device 200 together with the hardware management server.

The abnormality detection information generated by the communication unit 150 may be in the form of a diagnosis including details of abnormal occurrences occurring in hardware. The abnormality detection information may include an identifier of the hardware in which the abnormality occurred, the numerical value of the abnormality information in which the abnormality occurred, and information on the cause of the abnormality. As the abnormal occurrence information is shared to the hardware management server and the hardware manager terminal, an immediate response may be possible when an abnormality occurs in hardware. Specifically, even if the user of the computer device 200 is in a remote location, an abnormality occurring in the computer device 200 may be immediately confirmed through an application installed in the user terminal 300 . In addition, even if the user does not recognize in real time, since the abnormal detection information of the computer device 200 can be shared with the hardware management server and the hardware manager terminal, the manager of the hardware management server and the hardware manager terminal recognizes it first, and Informing you, it may be possible to deal with the occurrence of hardware abnormalities.

6 is a diagram illustrating a flow of a computer hardware abnormality detection method according to an embodiment of the present application.

The computer hardware abnormality detection method illustrated in FIG. 6 may be performed by the computer hardware abnormality detection apparatus 100 described above with reference to FIGS. 1 to 5 . Therefore, even if omitted below, the contents described with respect to the computer hardware abnormality device 100 through FIGS. 1 to 5 may be equally applied to FIG. 6 .

Referring to FIG. 6 , in step S110 , the state information collecting unit 110 may collect state information for each hardware of the computer device 200 and quantify the state information in a preset unit for determining the state of the hardware. The state information collection unit 110 may monitor each hardware to collect state information in real time, and the state information may include at least one of an identifier of hardware, temperature, clock speed, fan speed, usage, and capacity. .

The state information collection unit 110 may quantify the state information for each hardware in a preset unit, for example, a percentage. The state information collection unit 110 converts all state information of hardware into a percentage, which is the same unit, and digitizes it, so that it is easy to understand the usage, effective rate, temperature, and performance (processing speed, etc.) of each hardware. In order to unify the state information for each hardware into the same unit, the state information collection unit 110 does not quantify each state information by hardware simply as a percentage, but quantifies it as a percentage in consideration of the unit, maximum, and minimum values for each state information of the hardware. can do.

In step S620, the abnormality detection unit 120 may establish a hardware abnormality determination criterion in consideration of the digitized state information for each hardware and the characteristic information of the hardware. In addition, since each hardware is designed to have different durability for each hardware according to a role and usage environment, the abnormality detection unit 120 may set an abnormality determination criterion for each hardware in consideration of the characteristics of the hardware. The abnormality detection unit 120 may set the abnormality determination criterion in consideration of hardware-specific functions, that is, characteristic information including maximum performance, minimum performance, and use environment. Also, the abnormality detection unit 120 may give weight to the abnormality determination criterion in consideration of the characteristic information.

The abnormality detection unit 120 may detect whether an abnormality has occurred in the hardware according to real-time state information of the hardware in consideration of the abnormality determination criterion. Also, the abnormality detection unit 120 may generate abnormality cause information for each hardware based on the state information of the hardware in which the abnormality is detected. According to the abnormality determination criterion, hardware may be divided into normal, caution, and dangerous stages according to status information. In addition, the abnormality detection unit 120 may generate abnormal cause information by determining an abnormality caused by software or an abnormality of the hardware itself in consideration of the types of state information of the plurality of hardware in which the abnormality is detected and characteristic information for each hardware.

In step S630, the image generating unit 130 may generate a step-by-step image by dividing the digitized state information into steps according to the abnormality determination criterion. The image generating unit 130 may generate an image for each hardware step by dividing it into normal, caution, and dangerous steps according to the abnormality determination criteria. A step-by-step image can be created for each hardware. Referring to FIG. 3 , the image generating unit 130 may generate an image 131 associated with state information for each hardware, but may generate each image of a plurality of state information according to hardware specifications. Also, the image generator 130 may generate an image by changing at least one of a shape, a color, and a size of the image at each stage.

In step S640 , the output unit 140 may output digitized state information, step-by-step images, and hardware abnormality determination results. The output unit 140 may output representative state information by setting representative state information for each hardware among state information of hardware.

In step S650, the communication unit 150 may communicate by generating abnormality detection information from hardware abnormality detection. When the abnormality detection unit 120 detects a hardware abnormality, the communication unit 150 may generate abnormality detection information informing that the hardware abnormality is detected and transmit the generated abnormality detection information to the outside. Specifically, the communication unit 150 may transmit the abnormality detection information together with the abnormality cause information to the user terminal 300 , the hardware management server, and the hardware manager terminal. The user terminal 300 may be a terminal of a user who uses the computer device 200 , and the hardware management server supplies hardware of the computer device 200 and provides maintenance and maintenance services for the hardware of the computer device 200 . It may be a server device that monitors Also, the hardware manager terminal may be a terminal of a manager that monitors hardware of the computer device 200 together with the hardware management server.

The hardware abnormality detection method according to an embodiment of the present application may be implemented in the form of a program instruction that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the present invention, or may be known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floppy disks. - includes magneto-optical media, and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

The above description of the present application is for illustration, and those of ordinary skill in the art to which the present application pertains will understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present application. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. For example, each component described as a single type may be implemented in a dispersed form, and likewise components described as distributed may be implemented in a combined form.

The scope of the present application is indicated by the following claims rather than the above detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be construed as being included in the scope of the present application.

10: Network
100: computer hardware abnormality detection device
110: status information collection unit
120: abnormality detection unit
130: image generator
140: output unit
150: communication department
200: computer device
300: user terminal

Claims (17)

A computer hardware anomaly detection apparatus comprising:
a state information collecting unit that collects state information for each hardware and quantifies the state information in a preset unit for determining the state of the hardware;
an abnormality detection unit for establishing an abnormality determination criterion of the hardware in consideration of the state information quantified for each hardware and characteristic information of the hardware;
an image generation unit that divides the digitized state information into stages according to the abnormality determination criterion to generate a staged image;
an output unit for outputting the digitized state information, the step-by-step image, and an abnormality determination result of the hardware;
a communication unit for generating and communicating abnormality detection information from the hardware abnormality detection;
including,
The hardware includes a CPU, GPU and RAM;
The status information includes an identifier, temperature, usage and capacity of the hardware,
The state information collection unit,
Units representing the different state information for each hardware are united into one preset unit and digitized, but the GHz, which is the processing speed unit of the CPU, MHz, the processing speed unit of the RAM, and the ℃, the temperature unit of the GPU, are converted into percentage units. Numericalize, and quantify the state information in consideration of the unit, maximum and minimum values of the state information that are different for each hardware,
The abnormality detection unit,
Set the abnormality determination criteria for each hardware for each of the digitized state information,
By considering characteristic information including hardware-specific functions and usage environments, the numerical values of the state information that can be determined to be abnormal are set respectively to set abnormality determination criteria, and weight is given to the abnormality determination criteria,
Detecting whether an abnormality has occurred in the hardware according to real-time state information of the hardware in consideration of the abnormality determination criterion, and generating abnormal cause information for each hardware based on the state information of the hardware in which the abnormality is detected
Computer hardware anomaly detection device. delete According to claim 1,
the output unit,
The computer hardware abnormality detection apparatus, which sets representative state information for each hardware among the state information of the hardware and outputs the representative state information. delete delete According to claim 1,
The abnormality detection unit,
In consideration of the types of state information of a plurality of hardware in which the abnormality is detected and characteristic information for each hardware, an abnormality caused by software or an abnormality of the hardware itself is determined to generate the abnormality cause information. According to claim 1,
The communication unit,
The computer hardware abnormality detection apparatus of the method for transmitting the abnormality detection information to a user terminal, a hardware management server, and a hardware manager terminal together with the abnormality cause information. According to claim 1,
The image generating unit,
The computer hardware abnormality detection apparatus that divides the normal, caution, and dangerous stages according to the abnormality determination criterion and generates the image for each stage for each hardware. A computer hardware anomaly detection method comprising:
Collecting state information for each hardware and quantifying it in a preset unit for determining the state of the hardware;
establishing an abnormality determination criterion of the hardware in consideration of the state information quantified for each hardware and characteristic information of the hardware;
generating a step-by-step image by dividing the digitized state information into steps according to the abnormality determination criterion;
outputting the numerical status information, the step-by-step image, and an abnormality determination result of the hardware; and
generating and communicating abnormality detection information from the hardware abnormality detection;
including,
The hardware includes a CPU, GPU and RAM;
The status information includes an identifier, temperature, usage and capacity of the hardware,
The quantifying step is
Units representing the different state information for each hardware are united into one preset unit and digitized, but GHz, which is the processing speed unit of CPU, MHz, which is the processing speed unit of RAM, and °C, which is the temperature unit of GPU, is converted into a percentage and digitized do, The state information is digitized in consideration of the unit, maximum value, and minimum value for each state information that is different for each hardware,
The step of establishing the abnormality determination criterion is,
Set the abnormality determination criteria for each hardware for each of the digitized state information,
By considering characteristic information including hardware-specific functions and usage environments, the numerical values of the state information that can be determined to be abnormal are set respectively to set abnormality determination criteria, and weight is given to the abnormality determination criteria,
Detecting whether an abnormality has occurred in the hardware according to real-time state information of the hardware in consideration of the abnormality determination criterion, and generating abnormal cause information for each hardware based on the state information of the hardware in which the abnormality is detected ,
A method for detecting computer hardware anomalies. delete 10. The method of claim 9,
The step of outputting the abnormality determination result is
The method for detecting an abnormality in computer hardware, wherein the representative state information is output by setting representative state information for each hardware among the state information of the hardware. delete delete 10. The method of claim 9,
The step of establishing the abnormality determination criterion is,
The method for detecting abnormality in computer hardware, wherein the abnormality cause information is generated by determining an abnormality caused by software or an abnormality of the hardware itself in consideration of the type of state information of the plurality of hardware in which the abnormality is detected and characteristic information for each hardware. 10. The method of claim 9,
The communicating step is
The method for detecting abnormality in computer hardware by transmitting the abnormality detection information to a user terminal, a hardware management server, and a hardware manager terminal together with the abnormality cause information. 10. The method of claim 9,
Creating the image includes:
According to the abnormality determination criterion, the computer hardware abnormality detection method is divided into normal, cautionary, and dangerous stages to generate the image for each stage for each hardware. A computer hardware anomaly detection system comprising:
State information for each hardware is collected and digitized in a preset unit for determining the state of the hardware, and an abnormality determination criterion of the hardware is established in consideration of the state information quantified for each hardware and characteristic information of the hardware, a hardware abnormality detection device that divides the state information into stages according to the abnormality determination criteria to generate a step-by-step image, generates abnormality detection information from the hardware abnormality detection, and communicates; and
A user terminal for receiving and outputting numerical information for each hardware, the step-by-step image, and anomaly detection information from the hardware abnormality detection device;
including,
The hardware includes a CPU, GPU and RAM;
The status information includes an identifier, temperature, usage and capacity of the hardware,
The hardware abnormality detection device,
Units representing the different state information for each hardware are united into one preset unit and digitized, but GHz, which is the processing speed unit of CPU, MHz, which is the processing speed unit of RAM, and °C, which is the temperature unit of GPU, is converted into a percentage and digitized and digitizing the state information in consideration of the unit, maximum and minimum values of the state information that are different for each hardware,
The hardware abnormality detection device,
Set the abnormality determination criteria for each hardware for each of the digitized state information,
By considering characteristic information including hardware-specific functions and usage environments, the numerical values of the state information that can be determined to be abnormal are set respectively to set abnormality determination criteria, and weight is given to the abnormality determination criteria,
Detecting whether an abnormality has occurred in the hardware according to real-time state information of the hardware in consideration of the abnormality determination criterion, and generating abnormal cause information for each hardware based on the state information of the hardware in which the abnormality is detected
Computer hardware anomaly detection system.

Images