CN113454605A - Operation device maintenance method and apparatus, storage medium, and program product - Google Patents
Operation device maintenance method and apparatus, storage medium, and program product Download PDFInfo
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Abstract
A method and apparatus for maintaining a computing device, a storage medium and a program product, the method comprising: monitoring the operation condition of the operation equipment (S102); and if the operation of the arithmetic equipment is abnormal, controlling the arithmetic equipment to restart (S104). The method can reduce the cost of human resources and improve the operation stability and safety of the operation equipment to a certain extent.
Description
The present application relates to the field of data processing technologies, and for example, to a method and an apparatus for maintaining a computing device, a storage medium, and a program product.
With the development of data technology and the advancement of society, data processing through a computing device to obtain a digital certificate is receiving more attention. Since the computing device operates at a high speed, how to improve the security of the computing device becomes an important research topic in the field.
Currently, exception maintenance for computing devices is typically handled manually by a user. This requires the user to actively pay attention to or discover the operating status of the computing device, and when it discovers that the operating device is abnormal, perform manual restart processing on the computing device, so as to implement maintenance of the computing device.
The existing method for maintaining the operation equipment is realized by depending on manual operation of a user, so that the cost of human resources is wasted, and the problem that the operation equipment is not found out timely due to abnormality exists, so that the operation stability and safety of the operation equipment are low.
Disclosure of Invention
The embodiment of the disclosure provides a method and a device for maintaining an operation device, a storage medium and a program product, so as to reduce the cost of human resources and improve the operation stability and the safety of the operation device.
In a first aspect, an embodiment of the present disclosure further provides a method for maintaining an operation device, including:
monitoring the operation condition of the operation equipment;
and if the operation of the computing equipment is abnormal, controlling the computing equipment to restart.
In one possible design, the monitoring the operation condition of the computing device includes:
acquiring running state information of the computing equipment;
and determining whether the operation of the operation equipment is abnormal or not according to the operation state information.
In another possible design, the operating state information includes at least one of: the current data processing computing power of the computing device.
In another possible design, the determining whether the operation device operates abnormally according to the operation state information includes:
if the current data processing computing power is smaller than an abnormal computing power threshold value, determining that the operation of the computing equipment is abnormal; alternatively, the first and second electrodes may be,
and if the duration of the current data processing computing power smaller than the abnormal computing power threshold reaches a duration threshold, determining that the operation of the computing equipment is abnormal.
In another possible design, the method further includes:
and acquiring the abnormal computing power threshold value.
In another possible design, the obtaining the abnormal computation threshold includes:
acquiring standard data processing computing power of the computing equipment;
and acquiring the product of the standard data processing computing power and a preset abnormal proportion to obtain the abnormal computing power threshold.
In another possible design, the standard data processing algorithm is: factory data processing algorithm or initial data processing algorithm.
In another possible design, the obtaining of the standard data processing computation power of the computing device includes:
and acquiring factory data processing computing power recorded by a data processing chip of the arithmetic device to be used as the standard data processing computing power.
In another possible design, the controlling the computing device to restart includes:
and sending a restart instruction to the operation device so that the operation device can be restarted according to the restart instruction.
In another possible design, the controlling the computing device to restart includes:
controlling the computing equipment to be powered off and restarted; alternatively, the first and second electrodes may be,
and controlling the operation equipment to restart under the condition of no power failure.
In a second aspect, an embodiment of the present disclosure further provides an operation device maintenance apparatus, including:
the monitoring module is configured to monitor the operation condition of the operation equipment;
and the control module is configured to control the operation equipment to restart if the operation equipment runs abnormally.
In one possible design, the monitoring module is specifically configured to:
acquiring running state information of the computing equipment;
and determining whether the operation of the operation equipment is abnormal or not according to the operation state information.
In another possible design, the operating state information includes at least one of: a current data processing computing power of the computing device.
In another possible design, the monitoring module is specifically configured to:
if the current data processing computing power is smaller than an abnormal computing power threshold value, determining that the operation of the computing equipment is abnormal; alternatively, the first and second electrodes may be,
and if the duration of the current data processing computing power smaller than the abnormal computing power threshold reaches a duration threshold, determining that the operation of the computing equipment is abnormal.
In another possible design, the monitoring module is further configured to:
and acquiring the abnormal computing power threshold value.
In another possible design, the monitoring module is specifically configured to:
acquiring standard data processing computing power of the computing equipment;
and acquiring the product of the standard data processing computing power and a preset abnormal proportion to obtain the abnormal computing power threshold.
Wherein, the standard data processing computing power is as follows: factory data processing algorithm or initial data processing algorithm.
In another possible design, the monitoring module is specifically configured to:
and acquiring factory data processing computing power recorded by a data processing chip of the arithmetic device to be used as the standard data processing computing power.
In another possible design, the control module is specifically configured to:
and sending a restart instruction to the operation device so that the operation device can be restarted according to the restart instruction.
In another possible design, the control module is specifically configured to:
controlling the computing equipment to be powered off and restarted; alternatively, the first and second electrodes may be,
and controlling the operation equipment to restart under the condition of no power failure.
In a third aspect, an embodiment of the present disclosure further provides an electronic device, including: the device comprises a memory, a transceiver and a processor, wherein the memory, the transceiver and the processor are connected through a bus;
the memory configured to store a computer program;
the transceiver configured to communicate with other devices;
the processor is configured to execute the computer program to implement the operation device maintenance method according to any implementation manner of the first aspect.
In one possible design, the processor is specifically configured to: monitoring the operation condition of the operation equipment; and if the operation of the computing equipment is abnormal, controlling the computing equipment to restart.
In one possible design, the processor is specifically configured to:
acquiring running state information of the computing equipment;
and determining whether the operation of the operation equipment is abnormal or not according to the operation state information.
In another possible design, the operating state information includes at least one of: the current data processing computing power of the computing device.
In another possible design, the processor is specifically configured to:
if the current data processing computing power is smaller than an abnormal computing power threshold value, determining that the operation of the computing equipment is abnormal; alternatively, the first and second electrodes may be,
and if the duration of the current data processing computing power smaller than the abnormal computing power threshold reaches a duration threshold, determining that the operation of the computing equipment is abnormal.
In another possible design, the processor is further configured to:
and acquiring the abnormal computing power threshold value.
In another possible design, the processor is specifically configured to:
acquiring standard data processing computing power of the computing equipment;
and acquiring the product of the standard data processing computing power and a preset abnormal proportion to obtain the abnormal computing power threshold.
In another possible design, the standard data processing algorithm is: factory data processing algorithm or initial data processing algorithm.
In another possible design, the processor is specifically configured to:
and acquiring factory data processing computing power recorded by a data processing chip of the arithmetic device to be used as the standard data processing computing power.
In another possible design, the processor is specifically configured to:
and sending a restart instruction to the operation device so that the operation device can be restarted according to the restart instruction.
In another possible design, the processor is specifically configured to:
controlling the computing equipment to be powered off and restarted; alternatively, the first and second electrodes may be,
and controlling the operation equipment to restart under the condition of no power failure.
In a third aspect, an embodiment of the present disclosure further provides a computer-readable storage medium storing computer-executable instructions configured to perform the foregoing operation device maintenance method.
In a fourth aspect, the disclosed embodiments also provide a computer program product, the computer program product comprising a computer program stored on a computer-readable storage medium, the computer program comprising program instructions that, when executed by a computer, cause the computer to perform the above-mentioned computing device maintenance method.
According to the technical scheme provided by the embodiment of the disclosure, the operation condition of the operation equipment is monitored, so that if the operation equipment is abnormal, the operation equipment is directly controlled to be restarted. Therefore, the operation condition of the operation equipment does not need to be observed or monitored by a user subjectively, the user does not need to perform restarting processing manually, restarting can be achieved under the condition that the operation equipment is abnormal in operation, the human resource cost is saved, in addition, whether the operation equipment is abnormal in operation or not can be found more timely through an automatic monitoring mode, so that the operation equipment is processed timely, and the operation stability and the safety of the operation equipment are improved to a certain extent.
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the accompanying drawings and not in limitation thereof, in which elements having the same reference numeral designations are shown as like elements and not in limitation thereof, and wherein:
fig. 1 is a schematic flowchart of a method for maintaining a computing device according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of another method for maintaining a computing device according to an embodiment of the present disclosure;
fig. 3 is a schematic flowchart of another method for maintaining a computing device according to an embodiment of the present disclosure;
fig. 4 is a schematic flowchart of another method for maintaining a computing device according to an embodiment of the present disclosure;
fig. 5 is a schematic flowchart of another maintenance method for a computing device according to an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;
fig. 7 is a schematic structural diagram of an arithmetic device maintenance apparatus according to an embodiment of the present disclosure.
So that the manner in which the features and elements of the disclosed embodiments can be understood in detail, a more particular description of the disclosed embodiments, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. In the following description of the technology, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may be practiced without these details. In other instances, well-known structures and devices may be shown in simplified form in order to simplify the drawing.
The disclosed method for maintaining computing equipment, electronic equipment, computer-readable storage medium and computer program product aim to solve the problems of human resource waste and low equipment operation stability and safety existing in the existing method for maintaining computing equipment, and provide the following solution ideas: the running condition of the operation equipment is automatically monitored, and the operation equipment is automatically controlled to restart when the operation of the operation equipment is abnormal.
The embodiment of the disclosure provides a maintenance method of an arithmetic device.
Fig. 1 shows a schematic flowchart of a method for maintaining a computing device according to an embodiment of the present disclosure, where the method includes the following steps:
s102, monitoring the operation condition of the operation equipment.
It can be known that this step is mainly used to automatically monitor whether the operation of the computing device is abnormal, if the operation of the computing device is abnormal, then S104 is executed; otherwise, if the operation is normal, the monitoring state is maintained, and the subsequent step of S104 is not required.
And S104, if the operation of the computing equipment is abnormal, controlling the computing equipment to restart.
First, an execution device that executes the arithmetic device maintenance method will be described. In one possible design, the execution device may be disposed in a computing device, and may be a processor or a processing unit in the computing device; at this time, the operation device monitored in step S102 may be the currently set operation device.
Next, the arithmetic device according to the present disclosure is a device having arithmetic processing capability. In a specific implementation scenario, the computing device according to the embodiment of the present disclosure may be applied to an application scenario in which data processing is performed to obtain a digital certificate.
For convenience of explanation, the implementation of the foregoing steps will be described below.
In the embodiment of the disclosure, monitoring the operation condition of the operation device can be realized by the operation state information of the operation device. Specifically, referring to fig. 2, S102 may include the following steps:
s1022, obtains the operating state information of the arithmetic device.
And S1024, determining whether the operation equipment is abnormal or not according to the operation state information.
The operation state information is used for representing the operation state of the operation equipment. In the embodiment of the present disclosure, the operation status information may include, but is not limited to: current data processing algorithms.
At this time, in another possible implementation scenario, please refer to fig. 3, in which S102 in the method can be implemented by:
s1022, the current data processing computing power of the computing device is acquired.
And S1024, judging whether the current data processing computing power is smaller than an abnormal computing power threshold value.
If yes, the operation of the computing equipment is determined to be abnormal, and at the moment, S104 is executed.
If not, the operation of the computing device is determined to be normal, and at this time, S1022 is executed.
By the method, the current data processing computing power of the currently acquired computing equipment can be judged in real time, and the detection timeliness is high.
In addition, in order to avoid the situation that the monitoring result is faulty due to the abnormal computing power of the temporary data processing, referring to fig. 4, S102 in the method may include the following steps:
s1022, the current data processing computing power of the computing device is acquired.
S1024, judging whether the current data processing computing power is smaller than an abnormal computing power threshold value; if yes, go to S1026; if not, go to S1022.
And S1026, acquiring the duration that the current data processing computing power is smaller than the abnormal computing power threshold.
In this step, the starting time of the timing may be a time when it is determined that the data processing computational power is smaller than the abnormal computational power threshold for the first time. When the step is executed, the steps S1022 and S1024 are continuously executed, so that, after the timing is started, if the current data processing computing power is greater than or equal to the abnormal computing power threshold, the time when the current data processing computing power is greater than or equal to the abnormal computing power threshold is taken as a timing end point to obtain the duration; on the contrary, if the current data processing computing power obtained in the previous steps is continuously smaller than the abnormal computing power threshold after the timing is started, the current time is taken as a timing end point to obtain the continuous duration.
S1028, judging whether the duration reaches a duration threshold value; if yes, executing S104; if not, go to S1022.
The aforementioned time threshold may be preset as needed, for example, may be preset to 15 minutes.
In the implementation manner shown in fig. 4, the condition of abnormal monitoring results caused by abnormal data processing computing power can be avoided to some extent, and the monitoring accuracy can be improved to some extent.
In addition, as shown in fig. 3 and 4, before performing the S1024 step, the method may include the steps of:
and S1021, acquiring an abnormal computing power threshold value.
It should be noted that, in the embodiment of the present disclosure, the execution order of S1022 and S1021 is not particularly limited, and the manner shown in fig. 3 or fig. 4 is only one possible implementation manner, and is not intended to limit the embodiment of the present disclosure. For example, S1022 and S1021 may be performed simultaneously, or S1022 and S1021 may be performed first.
And the step is realized according to the setting mode of the abnormal computing force threshold. The setting mode of the abnormal computation force threshold value can include but is not limited to: presetting a numerical value, or obtaining the numerical value through a preset algorithm.
If the abnormal computing power threshold is set in a preset mode, the abnormal computing power threshold can be obtained by directly reading preset data when the step is executed. Specifically, the abnormal computation force threshold may be preset to a fixed number when the abnormal computation force threshold is specifically preset.
If the abnormal computing power threshold is preset in an algorithm mode, the step is executed, and the preset algorithm is directly operated.
For convenience of understanding, a preferred implementation manner of S1021 is provided in the embodiments of the present disclosure, please refer to fig. 5, and the steps specifically include:
s10212, acquiring standard data processing computing power of the computing equipment.
S10214, obtaining the product of standard data processing computing power and the preset abnormal proportion to obtain an abnormal computing power threshold.
Wherein the standard data processing algorithm may include: factory data processing algorithm or initial data processing algorithm.
The factory data processing computing power may be a standard computing power value when the computing device is shipped, and at this time, when S10212 is specifically implemented, the factory data processing computing power recorded by the data processing chip of the computing device may be obtained to serve as the standard data processing computing power.
In addition, considering that the factory data processing computing power is a value written in the firmware after factory shipment, and therefore, there may be a certain error with the actual standard computing power of the data processing chip of the computing device, when the step S10212 is executed, chip state information (which may include but is not limited to a chip operating frequency, etc.) recorded by the data processing chip of the computing device may be further obtained, and then, a reference data processing computing power is obtained by using the chip state information, so that, if the difference between the factory data processing computing power and the reference data processing computing power is less than 5% (which may be 5% of the factory data processing computing power or 5% of the reference data processing computing power, which is not particularly limited), the factory data processing computing power is obtained as the standard data processing computing power thereof.
The initial data processing computing power is the data processing computing power when the computing device initially starts to run. The initial data processing algorithm may be recorded in the background of the computing device or on a data processing chip of the computing device.
Since the data are recorded in the background of the computing device or on a data processing chip of the computing device, the information can be directly obtained through an Application Programming Interface (API).
The abnormal proportion can be set according to needs, and the specific numerical value of the abnormal proportion is not limited in the embodiment of the disclosure. For example, it may be set to 80%. That is, when the current data processing computing power of the computing device is less than 80% of the standard data processing computing power, or the duration of the current data processing computing power being less than 80% of the standard data processing computing power reaches the preset duration, it is determined that the computing device is abnormal in operation.
Based on the monitoring of the step S102, the embodiment of the present disclosure performs S104 for the abnormal operation device determined in S102, that is, automatically controls the operation device to restart.
Embodiments of the present disclosure further present implementable restart approaches that may include, but are not limited to, the following:
controlling the computing equipment to be powered off and restarted; alternatively, the first and second electrodes may be,
and controlling the operation equipment to restart under the condition of no power failure.
The method for controlling the power-off restart of the computing equipment adopts a cold restart mode, and the power supply of the computing equipment can be automatically cut off without manual participation. In specific implementation, the default setting of automatic restarting after power failure can be carried out in the operation equipment, so that the operation equipment is only required to be controlled to restart, the power supply for operation is firstly cut off, and then the power supply is supplied to the operation equipment again.
And the operation equipment is restarted under the condition of no power failure, namely, a hot restart mode is adopted, the mode does not need manual participation, the power supply of the operation equipment does not need to be cut off, and the operation equipment can be restarted under the condition of no power failure only by carrying out hot restart processing on a background of the operation equipment.
In addition to the foregoing methods, if the executing device executing the method for maintaining the computing device and the main control system of the computing device are two processors independently arranged or two independent processing units in the same processor, at this time, the executing device may not have the authority to directly restart the computing device, and at this time, the step S104 may be:
and sending a restart instruction to the operation device so that the operation device can be restarted according to the restart instruction.
Specifically, the restart instruction is sent to the processor or the controller in the computing device, which has the authority to restart the computing device, and the processor or the controller having the authority to restart the computing device executes the restart operation.
In addition, in a possible design, if there is a maintenance device corresponding to the computing device, a notification message may be sent to the computing device to notify the operating state of the computing device when the computing device is determined to be abnormal (S102) and/or after the computing device is controlled to restart (S104).
In addition, in another possible design, when the foregoing determines that the computing device is abnormal (S102), and/or after controlling the computing device to restart (S104), a prompt signal may also be directly output, so that a user may know the operation condition of the computing device (operation is abnormal or the restarting is completed) according to the prompt signal. The cue signal related to the embodiments of the present disclosure may include, but is not limited to: at least one of a sound signal, a vibration signal, a flashing signal and a text prompt message. In addition, if the execution device is installed in the maintenance device, the execution device may also output at least one of the aforementioned prompt signals, and if it is involved in monitoring too many computing devices, the execution device may further output related information that may identify the computing device, for example, a serial number of the computing device, an Internet Protocol (IP) address, and the like.
Based on the foregoing method for maintaining computing equipment, an embodiment of the present disclosure further provides an electronic device.
Referring to fig. 6, the electronic device 600 includes: the memory 610, the transceiver 620 and the processor 630, wherein the memory 610, the transceiver 620 and the processor 630 are connected through a bus;
a memory 610 configured to store a computer program;
a transceiver 620 configured to communicate with other devices;
a processor 630 configured to execute the computer program to implement the computing device maintenance method according to any of the implementations described above.
In particular, processor 630 is configured to: monitoring the operation condition of the operation equipment; and controlling the operation equipment to restart if the operation equipment runs abnormally.
In one possible design, the processor 630 is specifically configured to:
acquiring running state information of the computing equipment;
and determining whether the operation of the operation equipment is abnormal or not according to the operation state information.
In another possible design, the operating state information includes at least one of: and the current data processing computing power of the computing equipment.
At this time, the processor 630 is specifically configured to:
if the current data processing computing power is smaller than the abnormal computing power threshold value, determining that the operation of the computing equipment is abnormal; alternatively, the first and second electrodes may be,
and if the duration of the current data processing computing power smaller than the abnormal computing power threshold reaches the time threshold, determining that the operation of the computing equipment is abnormal.
In another possible design, the processor 630 is further configured to:
and acquiring an abnormal computing power threshold value.
Specifically, the processor 630 is specifically configured to:
acquiring standard data processing computing power of computing equipment;
and acquiring the product of the standard data processing computing power and a preset abnormal proportion to obtain an abnormal computing power threshold value.
Wherein, the standard data processing computing power is as follows: factory data processing algorithm or initial data processing algorithm.
In another possible design, the processor 630 is specifically configured to:
and acquiring factory data processing computing power recorded by a data processing chip of the arithmetic device to be used as standard data processing computing power.
In one implementation, the processor 630 is specifically configured to:
and sending a restart instruction to the operation equipment so that the operation equipment is restarted according to the restart instruction.
In the embodiment of the present disclosure, the processor 630 is specifically configured to:
controlling the computing equipment to be powered off and restarted; alternatively, the first and second electrodes may be,
and controlling the operation equipment to restart under the condition of no power failure.
In the embodiment of the present disclosure, the logic instructions in the memory 610 may be implemented in the form of software functional units and may be stored in a computer readable storage medium when the logic instructions are sold or used as a stand-alone product.
The memory 610, which is a computer-readable storage medium, may be configured to store software programs, computer-executable programs, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 630 executes the functional application and data processing by executing the software program, instructions and modules stored in the memory 610, so as to implement the operation device maintenance method in the above method embodiment.
The memory 610 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal device, and the like. Further, the memory 610 may include a high-speed random access memory and may also include a nonvolatile memory.
In the embodiment of the present disclosure, the number of the processors 630 may be one or more, and the processors 630 may also be referred to as processing units, which may implement a certain control function. The processor 630 may be a general purpose processor, a special purpose processor, or the like.
In an alternative design, the processor 630 may also store instructions, which can be executed by the processor, so that the electronic device 600 performs the operation device maintenance method described in the above method embodiment.
In yet another possible design, the electronic device 600 may include circuitry that may implement the functionality of transmitting or receiving or communicating in the foregoing method embodiments.
In the embodiment of the present disclosure, the number of the transceivers 620 may be one or more, and the transceivers 620 may be referred to as a transceiver unit, a transceiver circuit, a transceiver, or the like, and are configured to implement a transceiving function of the electronic device 600.
The specific processing manner of each component can be referred to the related description of the previous embodiment.
The processor 630 and the transceiver 620 described in the embodiments of the present disclosure may be implemented on an Integrated Circuit (IC), an analog IC, a Radio Frequency Integrated Circuit (RFIC), a mixed signal IC, an Application Specific Integrated Circuit (ASIC), a Printed Circuit Board (PCB), an electronic device, or the like. The processor and transceiver may also be fabricated using various 1C process technologies, such as Complementary Metal Oxide Semiconductor (CMOS), N-type metal oxide semiconductor (NMOS), P-type metal oxide semiconductor (PMOS), Bipolar Junction Transistor (BJT), Bipolar CMOS (bicmos), silicon germanium (SiGe), gallium arsenide (GaAs), and the like.
Alternatively, electronic device 600 may be a stand-alone device or may be part of a larger device. For example, the electronic device 600 may be provided in one computing device.
In addition, the embodiment of the disclosure also provides a maintenance device for the computing equipment. Referring to fig. 7, the computing device maintenance apparatus 700 includes:
a monitoring module 710 configured to monitor an operation condition of the computing device;
and the control module 720 is configured to control the computing device to restart if the computing device runs abnormally.
In one possible design, the monitoring module 710 is specifically configured to:
acquiring running state information of the computing equipment;
and determining whether the operation of the operation equipment is abnormal or not according to the operation state information.
In another possible design, the operating state information includes at least one of: and the current data processing computing power of the computing equipment.
In another possible design, the monitoring module 710 is specifically configured to:
if the current data processing computing power is smaller than the abnormal computing power threshold value, determining that the operation of the computing equipment is abnormal; alternatively, the first and second electrodes may be,
and if the duration of the current data processing computing power smaller than the abnormal computing power threshold reaches the time threshold, determining that the operation of the computing equipment is abnormal.
In another possible design, the monitoring module 710 is further configured to:
and acquiring an abnormal computing power threshold value.
In another possible design, the monitoring module 710 is specifically configured to:
acquiring standard data processing computing power of computing equipment;
and acquiring the product of the standard data processing computing power and a preset abnormal proportion to obtain an abnormal computing power threshold value.
Wherein, the standard data processing computing power is as follows: factory data processing algorithm or initial data processing algorithm.
In another possible design, the monitoring module 710 is specifically configured to:
and acquiring factory data processing computing power recorded by a data processing chip of the arithmetic device to be used as standard data processing computing power.
In another possible design, the control module 720 is specifically configured to:
and sending a restart instruction to the operation equipment so that the operation equipment is restarted according to the restart instruction.
In another possible design, the control module 720 is specifically configured to:
controlling the computing equipment to be powered off and restarted; alternatively, the first and second electrodes may be,
and controlling the operation equipment to restart under the condition of no power failure.
It should be noted that in the embodiments of the present disclosure, regardless of any aspect, such as a method aspect, an apparatus aspect, and the like, the data processing described in the embodiments of the present disclosure may include at least one of setting, calculating, determining, transmitting, storing, managing, and the like based on or on data.
As an embodiment, the data processing may be data processing relating to a digital voucher by a data processing apparatus, the digital voucher being obtainable by the data processing, and the data processing apparatus may be a digital voucher processing apparatus.
When the digital voucher is associated with or embodied in digital currency, the digital voucher processing device can be a digital currency miner and the digital currency can be encrypted currency such as bitcoin.
In addition, the embodiment of the disclosure also provides a computer-readable storage medium, which stores computer-executable instructions configured to execute the above-mentioned operation device maintenance method.
The disclosed embodiments also provide a computer program product comprising a computer program stored on a computer-readable storage medium, the computer program comprising program instructions that, when executed by a computer, cause the computer to perform the above-mentioned operation device maintenance method.
The computer-readable storage medium described above may be a transitory computer-readable storage medium or a non-transitory computer-readable storage medium.
The technical solution of the embodiments of the present disclosure may be embodied in the form of a software product, where the computer software product is stored in a storage medium and includes one or more instructions to enable a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present disclosure. And the aforementioned storage medium may be a non-transitory storage medium comprising: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes, and may also be a transient storage medium.
When used in the disclosed embodiments, the terms "first," "second," and the like, although may be used in the disclosed embodiments to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, unless the meaning of the description changes, so long as all occurrences of the "first element" are renamed consistently and all occurrences of the "second element" are renamed consistently. The first and second elements are both elements, but may not be the same element.
The words used in the embodiments of the present disclosure are used only for the purpose of describing the embodiments and are not used to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. Similarly, the term "and/or" as used in embodiments of the present disclosure is meant to encompass any and all possible combinations of one or more of the associated listed. Furthermore, the terms "comprises" and/or "comprising," when used in this disclosure in embodiments of the present disclosure, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
The various aspects, implementations, or features of the described embodiments can be used alone or in any combination. Aspects of the described embodiments may be implemented by software, hardware, or a combination of software and hardware. The described embodiments may also be embodied by a computer-readable medium having computer-readable code stored thereon, the computer-readable code comprising instructions executable by at least one computing device. The computer readable medium can be associated with any data storage device that can store data which can be read by a computer system. Exemplary computer readable media can include read-only memory, random-access memory, CD-ROMs, HDDs, DVDs, magnetic tape, and optical data storage devices, among others. The computer readable medium can also be distributed over network coupled computer systems so that the computer readable code is stored and executed in a distributed fashion.
The above description of the technology may refer to the accompanying drawings, which form a part hereof, and in which is shown by way of illustration embodiments in which the described embodiments may be practiced. These embodiments, while described in sufficient detail to enable those skilled in the art to practice them, are non-limiting; other embodiments may be utilized and changes may be made without departing from the scope of the described embodiments. For example, the order of operations described in a flowchart is non-limiting, and thus the order of two or more operations illustrated in and described in accordance with the flowchart may be altered in accordance with several embodiments. As another example, in several embodiments, one or more operations illustrated in and described with respect to the flowcharts are optional or may be eliminated. Additionally, certain steps or functions may be added to the disclosed embodiments, or two or more steps may be permuted in order. All such variations are considered to be encompassed by the disclosed embodiments and the claims.
Additionally, terminology is used in the foregoing description of the technology to provide a thorough understanding of the described embodiments. However, no unnecessary detail is required to implement the described embodiments. Accordingly, the foregoing description of the embodiments has been presented for purposes of illustration and description. The embodiments presented in the foregoing description and the examples disclosed in accordance with these embodiments are provided solely to add context and aid in the understanding of the described embodiments. The above description is not intended to be exhaustive or to limit the described embodiments to the precise form disclosed. Many modifications, alternative uses, and variations are possible in light of the above teaching. In some instances, well known process steps have not been described in detail in order to avoid unnecessarily obscuring the described embodiments.
Claims (23)
- A method for maintaining a computing device, comprising:monitoring the operation condition of the operation equipment;and if the operation of the computing equipment is abnormal, controlling the computing equipment to restart.
- The method of claim 1, wherein the monitoring the operational condition of the computing device comprises:acquiring running state information of the computing equipment;and determining whether the operation of the operation equipment is abnormal or not according to the operation state information.
- The method of claim 2, wherein the operational status information comprises at least one of: the current data processing computing power of the computing device.
- The method of claim 3, wherein the determining whether the computing device is operating abnormally according to the operating state information comprises:if the current data processing computing power is smaller than an abnormal computing power threshold value, determining that the operation of the computing equipment is abnormal; alternatively, the first and second electrodes may be,and if the duration of the current data processing computing power smaller than the abnormal computing power threshold reaches a duration threshold, determining that the operation of the computing equipment is abnormal.
- The method of claim 4, further comprising:and acquiring the abnormal computing power threshold value.
- The method of claim 5, wherein said obtaining the anomalous force threshold comprises:acquiring standard data processing computing power of the computing equipment;and acquiring the product of the standard data processing computing power and a preset abnormal proportion to obtain the abnormal computing power threshold.
- The method of claim 6, wherein the standard data processing algorithm is: factory data processing algorithm or initial data processing algorithm.
- The method of claim 6 or 7, wherein the obtaining of the standard data processing algorithm of the computing device comprises:and acquiring factory data processing computing power recorded by a data processing chip of the arithmetic device to be used as the standard data processing computing power.
- The method of claim 1, wherein the controlling the computing device to reboot comprises:and sending a restart instruction to the operation device so that the operation device can be restarted according to the restart instruction.
- The method according to claim 1 or 9, wherein said controlling said computing device to restart comprises:controlling the computing equipment to be powered off and restarted; alternatively, the first and second electrodes may be,and controlling the operation equipment to restart under the condition of no power failure.
- An arithmetic device maintenance apparatus, comprising:the monitoring module is configured to monitor the operation condition of the operation equipment;and the control module is configured to control the operation equipment to restart if the operation equipment runs abnormally.
- The apparatus of claim 11, wherein the monitoring module is specifically configured to:acquiring running state information of the computing equipment;and determining whether the operation of the operation equipment is abnormal or not according to the operation state information.
- The apparatus of claim 12, wherein the operational status information comprises at least one of: the current data processing computing power of the computing device.
- The apparatus of claim 13, wherein the monitoring module is specifically configured to:if the current data processing computing power is smaller than an abnormal computing power threshold value, determining that the operation of the computing equipment is abnormal; alternatively, the first and second electrodes may be,and if the duration of the current data processing computing power smaller than the abnormal computing power threshold reaches a duration threshold, determining that the operation of the computing equipment is abnormal.
- The apparatus of claim 14, wherein the monitoring module is further configured to:and acquiring the abnormal computing power threshold value.
- The apparatus of claim 15, wherein the monitoring module is specifically configured to:acquiring standard data processing computing power of the computing equipment;and acquiring the product of the standard data processing computing power and a preset abnormal proportion to obtain the abnormal computing power threshold.
- The apparatus of claim 16, wherein the standard data processing algorithm is: factory data processing algorithm or initial data processing algorithm.
- The apparatus according to claim 16 or 17, wherein the monitoring module is specifically configured to:and acquiring factory data processing computing power recorded by a data processing chip of the arithmetic device to be used as the standard data processing computing power.
- The apparatus of claim 11, wherein the control module is specifically configured to:and sending a restart instruction to the operation device so that the operation device can be restarted according to the restart instruction.
- The apparatus according to claim 11 or 19, wherein the control module is specifically configured to:controlling the computing equipment to be powered off and restarted; alternatively, the first and second electrodes may be,and controlling the operation equipment to restart under the condition of no power failure.
- An electronic device, comprising: the device comprises a memory, a transceiver and a processor, wherein the memory, the transceiver and the processor are connected through a bus;the memory configured to store a computer program;the transceiver configured to communicate with other devices;the processor configured to execute the computer program to implement the method of any one of claims 1-10.
- A computer-readable storage medium having stored thereon computer-executable instructions configured to perform the method of any one of claims 1-10.
- A computer program product, characterized in that the computer program product comprises a computer program stored on a computer-readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to carry out the method of any one of claims 1-10.
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| PCT/CN2018/117636 WO2020107198A1 (en) | 2018-11-27 | 2018-11-27 | Operation apparatus maintenance method and device, storage medium, and program product |
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| CN112803589B (en) * | 2020-12-31 | 2023-05-26 | 河南华能联合电力建设有限公司 | Power equipment operation background remote control method, system, computer equipment and storage medium |
| CN113064798A (en) * | 2021-04-25 | 2021-07-02 | 上海商汤临港智能科技有限公司 | Exception handling method and device, electronic equipment and system |
| CN116155691A (en) * | 2023-02-03 | 2023-05-23 | 北京达佳互联信息技术有限公司 | Data processing method and device |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101145983A (en) * | 2007-08-07 | 2008-03-19 | 中兴通讯股份有限公司 | A self-diagnosis and self-discovery subsystem and method of network management system |
| CN101547994A (en) * | 2006-09-29 | 2009-09-30 | 费舍-柔斯芒特系统股份有限公司 | Detection of catalyst losses in a fluid catalytic cracker for use in abnormal situation prevention |
| CN101782746A (en) * | 2009-01-21 | 2010-07-21 | 方大集团股份有限公司 | Monitoring device and monitoring method |
| US20170116084A1 (en) * | 2015-10-26 | 2017-04-27 | Beijing Baidu Netcom Science And Technology, Ltd. | Method and System for Monitoring Virtual Machine Cluster |
| CN107515796A (en) * | 2017-07-31 | 2017-12-26 | 北京奇安信科技有限公司 | A kind of unit exception monitor processing method and device |
| CN108255646A (en) * | 2018-01-17 | 2018-07-06 | 重庆大学 | A kind of self-healing method of industrial control program failure based on heartbeat detection |
| CN108647130A (en) * | 2018-05-28 | 2018-10-12 | 比特大陆科技有限公司 | A kind of localization method, alarm method and the relevant device and system of failure mine machine |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105302637B (en) * | 2015-10-13 | 2019-04-23 | Oppo广东移动通信有限公司 | System process is operating abnormally restoration methods, device and the mobile terminal for causing Caton |
-
2018
- 2018-11-27 CN CN201880099821.1A patent/CN113454605A/en active Pending
- 2018-11-27 WO PCT/CN2018/117636 patent/WO2020107198A1/en active Application Filing
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101547994A (en) * | 2006-09-29 | 2009-09-30 | 费舍-柔斯芒特系统股份有限公司 | Detection of catalyst losses in a fluid catalytic cracker for use in abnormal situation prevention |
| CN101145983A (en) * | 2007-08-07 | 2008-03-19 | 中兴通讯股份有限公司 | A self-diagnosis and self-discovery subsystem and method of network management system |
| CN101782746A (en) * | 2009-01-21 | 2010-07-21 | 方大集团股份有限公司 | Monitoring device and monitoring method |
| US20170116084A1 (en) * | 2015-10-26 | 2017-04-27 | Beijing Baidu Netcom Science And Technology, Ltd. | Method and System for Monitoring Virtual Machine Cluster |
| CN107515796A (en) * | 2017-07-31 | 2017-12-26 | 北京奇安信科技有限公司 | A kind of unit exception monitor processing method and device |
| CN108255646A (en) * | 2018-01-17 | 2018-07-06 | 重庆大学 | A kind of self-healing method of industrial control program failure based on heartbeat detection |
| CN108647130A (en) * | 2018-05-28 | 2018-10-12 | 比特大陆科技有限公司 | A kind of localization method, alarm method and the relevant device and system of failure mine machine |
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