CN116934142A - Comprehensive management method, system, equipment and medium for maintenance of leased IT equipment assets - Google Patents
Comprehensive management method, system, equipment and medium for maintenance of leased IT equipment assets Download PDFInfo
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Abstract
The application provides a method, a system, equipment and a medium for comprehensive management of maintenance of leasing IT equipment assets, wherein the method comprises the steps of obtaining equipment type parameters of leasing objects, establishing an IT equipment evaluation function to evaluate conforming equipment, obtaining evaluation scores, sequencing, and distributing the equipment according to sequence; and obtaining a lease forecast evaluation score according to the evaluation score, lease time and lease forecast evaluation function of the distribution equipment, and distributing until all the amounts are satisfied when the lease forecast evaluation score is greater than or equal to a preset threshold value. By establishing an IT device evaluation function to evaluate devices conforming to the device type, the devices can be ordered according to the evaluation score so as to intelligently allocate and manage the devices to obtain higher benefits. The lease prediction evaluation score is obtained according to the preset lease prediction evaluation function, so that faults of IT equipment in the lease period can be effectively avoided, the use is influenced, the situation that maintenance is required to be sent out is avoided, and the cost is reduced.
Description
Technical Field
The application relates to the technical field of lease management, in particular to a comprehensive management method, a system, equipment and a medium for maintaining leased IT equipment assets.
Background
IT device rental is a business model in which businesses or individuals can obtain the desired IT devices from a professional IT device rental company through a rental contract without purchasing the devices. However, IT is an important issue for IT equipment rental companies how to obtain higher benefits through maintenance management of IT equipment assets.
The prior art provides a device lease management system and a management method, which realize the mechanical device lease management method in an SAP system, can timely acquire data such as project yield, accounts receivable, month yield ratio, year yield ratio and the like, is convenient for a manager to inquire at any time, can effectively ensure the flexibility, timeliness and accuracy of the data, is beneficial to timely and accurately providing the data, standardizes the flow, and is convenient for the management of enterprises. The prior art also provides a leasing equipment management system, wherein the data acquisition hardware terminal of the Internet of things realizes the acquisition and reporting of the basic data of the leasing equipment through the data acquisition device and the data transmission device, and the equipment management software platform performs residual value calculation, working strength calculation, maintenance period calculation and core component residual life calculation according to the leasing equipment data acquired by the data acquisition hardware terminal of the Internet of things, so that the digitized, refined and intelligent management of the leasing equipment is realized.
However, in the delivery of the bid in the lease contract, there is no clear rule, and in the equipment management, the new equipment is not leased for a long time and becomes old, or the old equipment is leased frequently, which affects the service life of the old equipment, or the old equipment is damaged during the period of the lease, which requires the IT equipment leasing company to send out maintenance, and is time-consuming and labor-consuming, resulting in increased cost.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, the present application provides a method, system, device and medium for integrated management of maintenance of leased IT equipment assets, so as to solve the above-mentioned technical problems.
The application provides a comprehensive management method for maintenance of leased IT equipment assets, which comprises the following steps:
acquiring the equipment number, equipment type and lease time of the leasing target object;
establishing an IT equipment evaluation function according to the parameters of the equipment type;
according to the IT equipment evaluation function, the IT equipment conforming to the equipment type is evaluated, and an evaluation score is obtained;
sorting from small to large according to the evaluation score, and distributing IT equipment according to the sequence;
and evaluating the IT equipment according to the evaluation score of the distributed IT equipment, the lease time and a preset lease prediction evaluation function to obtain a lease prediction evaluation score, and distributing the lease prediction evaluation score to meet the number of all the equipment when the lease prediction evaluation score is greater than or equal to a preset lease prediction evaluation score threshold.
In the present application, the IT device evaluation function is:
wherein E represents an IT device evaluation function, T h And T s Representing hardware mean time to failure and software mean time to failure of an IT device, R h And R is s Representing hardware failure rate and software failure rate of IT equipment, SL l Indicating the remaining life time in the rental state,indicating total service life under leasing state, wherein alpha, alpha beta are proportional coefficients, alpha>0，β>0 and α+β=1.
In the present application, the method further comprises:
acquiring a residual service life function of the IT equipment in the leasing state according to the IT equipment history data in the leasing state;
and acquiring a residual service life function of the IT equipment in the non-leased state according to the IT equipment history data in the non-leased state, wherein an independent variable of the residual service life function is the residual service life, and the dependent variable is the probability of normal operation of the IT equipment.
According to the hardware average non-fault time and the software average non-fault time of the IT equipment in different historical residual service lives, the hardware average non-fault time and the software average non-fault time of the IT equipment are obtained;
and acquiring the hardware failure rate and the software failure rate of the IT equipment according to the hardware failure rate and the software failure rate of the IT equipment under different historical residual service lives.
In the present application, the lease forecast evaluation function is:
wherein E is p To lease forecast evaluation function E i Representing an i-th IT device assessment score,and->Representing a hardware predicted mean time to failure and a software predicted mean time to failure of the current IT device after a lease time t,/for>And->Representing the hardware predictive failure rate and the software predictive failure rate of the current IT device after the lease time t,/I>Indicating the remaining life in the rental state after the rental time t.
In the application, the sorting from small to large is carried out according to the evaluation score, and the IT equipment distribution is carried out according to the sequence, which concretely comprises the following steps:
sorting from small to large according to the evaluation score to obtain an IT equipment evaluation score table S it ；
Sequencing from small to large according to the lease time to obtain a lease IT equipment time table T it ；
According to the lease IT equipment time table T it In turn according to the IT device evaluation score table S it Is assigned.
In the present application, the method further comprises:
and obtaining the lease prediction evaluation score, comparing the lease prediction evaluation score with a preset lease prediction evaluation score threshold, and if the lease prediction evaluation score is smaller than the preset lease prediction evaluation score threshold, calculating to obtain a fault rate according to the difference value of the lease prediction evaluation score and the preset lease prediction evaluation score threshold.
The application also provides a system for comprehensive management of maintenance of the leased IT equipment assets, which comprises the following steps:
and an information acquisition module: acquiring the equipment number, equipment type and lease time of the leasing target object;
and (3) establishing a function module: establishing an IT equipment evaluation function according to the parameters of the equipment type;
and an evaluation module: according to the IT equipment evaluation function, the IT equipment conforming to the equipment type is evaluated, and an evaluation score is obtained;
and a sequencing module: sorting from small to large according to the evaluation score, and distributing IT equipment according to the sequence;
the distribution module: and evaluating the IT equipment according to the evaluation score of the distributed IT equipment, the lease time and a preset lease prediction evaluation function to obtain a lease prediction evaluation score, and distributing the lease prediction evaluation score to meet the number of all the equipment when the lease prediction evaluation score is greater than or equal to a preset lease prediction evaluation score threshold.
The application also provides an electronic device comprising:
one or more processors;
and the storage device is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the electronic equipment is enabled to realize the integrated management method for maintaining the rented IT equipment assets.
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor of a computer, causes the computer to perform a rental IT equipment asset maintenance integrated management method as set forth in any one of the above.
The application provides a comprehensive management method, a system, equipment and a medium for maintaining leasing IT equipment assets, wherein the method obtains the number of leased equipment, equipment type and leasing time according to a leasing target object; establishing an IT equipment evaluation function according to the parameters of the equipment type; according to the IT equipment evaluation function, the IT equipment conforming to the equipment type is evaluated, and an evaluation score is obtained; sorting from small to large according to the evaluation score, and distributing IT equipment according to the sequence; evaluating the IT equipment according to the evaluation score of the distributed IT equipment, the lease time and a preset lease prediction evaluation function to obtain a lease prediction evaluation score, and distributing the lease prediction evaluation score to meet the number of all the equipment when the lease prediction evaluation score is greater than or equal to a preset lease prediction evaluation score threshold, wherein the generated beneficial effects comprise:
1. and establishing an IT device evaluation function according to the parameters of the device type, and evaluating the IT device conforming to the device type. The devices may thus be ranked according to the evaluation score for intelligent distribution and management of the devices for higher benefit.
2. And carrying out lease prediction evaluation on the distributed IT equipment, and obtaining lease prediction evaluation scores according to a preset lease prediction evaluation function. The problem that the IT equipment fails in the lease period to influence the use and the maintenance is required to be sent out can be effectively avoided, and the cost is reduced.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. In the drawings:
FIG. 1 is a flow chart illustrating a method of integrated management of maintenance of leased IT device assets in accordance with an exemplary embodiment of the present application;
FIG. 2 is a flow chart of a method for integrated management of maintenance of leased IT device assets to obtain a remaining useful life function in accordance with an exemplary embodiment of the present application;
FIG. 3 is a functional diagram illustrating the remaining useful life of IT equipment in a method for integrated management of maintenance of leased IT equipment assets in accordance with an exemplary embodiment of the present application;
FIG. 4 is a schematic diagram of allocation logic in a rental IT device asset maintenance integrated management method, as shown in an exemplary embodiment of the present application;
FIG. 5 is a schematic diagram of a rental IT device asset maintenance integrated management system, shown in accordance with an exemplary embodiment of the present application;
fig. 6 is a schematic diagram of a computer system of an electronic device according to an exemplary embodiment of the present application.
Detailed Description
Further advantages and effects of the present application will become readily apparent to those skilled in the art from the disclosure herein, by referring to the accompanying drawings and the preferred embodiments. The application may be practiced or carried out in other embodiments that depart from the specific details, and the details of the present description may be modified or varied from the spirit and scope of the present application. It should be understood that the preferred embodiments are presented by way of illustration only and not by way of limitation.
It should be noted that the illustrations provided in the following embodiments merely illustrate the basic concept of the present application by way of illustration, and only the components related to the present application are shown in the drawings and are not drawn according to the number, shape and size of the components in actual implementation, and the form, number and proportion of the components in actual implementation may be arbitrarily changed, and the layout of the components may be more complicated.
In the following description, numerous details are set forth in order to provide a more thorough explanation of embodiments of the present application, it will be apparent, however, to one skilled in the art that embodiments of the present application may be practiced without these specific details, in other embodiments, well-known structures and devices are shown in block diagram form, rather than in detail, in order to avoid obscuring the embodiments of the present application.
IT is first noted that IT equipment rental is a business model in which an enterprise or individual can obtain the desired IT equipment from a professional IT equipment rental company through a rental contract without purchasing the equipment. However, IT is an important issue for IT equipment rental companies how to obtain higher benefits through maintenance management of IT equipment assets. However, in the delivery of the bid in the lease contract, there is no clear rule, and in the equipment management, the new equipment is not leased for a long time and becomes old, or the old equipment is leased frequently, which affects the service life of the old equipment, or the old equipment is damaged during the period of the lease, which requires the IT equipment leasing company to send out maintenance, and is time-consuming and labor-consuming, resulting in increased cost. Therefore, the application provides a comprehensive management method, a system, equipment and a medium for maintenance of leased IT equipment assets, which solve the problems.
FIG. 1 is a flow chart illustrating a method of integrated management of maintenance of leased IT device assets in accordance with an exemplary embodiment of the present application;
as shown in fig. 1, the method for comprehensive management of maintenance of leased IT equipment assets provided by the application comprises the following steps:
step S110: acquiring the equipment number, equipment type and lease time of the leasing target object;
step S120: establishing an IT equipment evaluation function according to the parameters of the equipment type;
step S130: according to the IT equipment evaluation function, the IT equipment conforming to the equipment type is evaluated, and an evaluation score is obtained;
step S140: sorting from small to large according to the evaluation score, and distributing IT equipment according to the sequence;
step S150: and evaluating the IT equipment according to the evaluation score of the distributed IT equipment, the lease time and a preset lease prediction evaluation function to obtain a lease prediction evaluation score, and distributing the lease prediction evaluation score to meet the number of all the equipment when the lease prediction evaluation score is greater than or equal to a preset lease prediction evaluation score threshold.
Specifically, in step S110, the number of devices, the type of devices, and the time of renting the object are obtained, and the number of devices, the type of devices, and the time of renting each object are corresponding to each other. The parameters of the device type in step S120 include a hardware mean time between failure and a software mean time between failure, a remaining service life in a rental state, and a total service life in a rental state. Step S130 obtains an evaluation score of each device by evaluating IT devices conforming to the device type. The evaluation score may be used to measure aspects of device suitability, performance level, and reliability. Step S140 corresponds to the leasing object obtained in step S110 with IT equipment, sorts the rentable IT equipment according to the evaluation score, and obtains better benefits while facilitating distribution. Step S150 allocates IT devices that can be leased, and further evaluates the allocated IT devices according to the evaluation score, lease time, and preset lease prediction evaluation function of the devices. The preset lease forecast evaluation function represents the IT equipment which is leased. When the lease forecast evaluation score is greater than or equal to a preset lease forecast evaluation score threshold, IT means that the IT equipment performs well in the lease time after being leased, and the possibility that the IT equipment needs to be maintained is low, so that the IT equipment can be distributed, and so on until the requirement of all equipment numbers is met.
In an exemplary embodiment, the IT device evaluation function is:
wherein E represents an IT device evaluation function, T h And T s Representing hardware mean time to failure and software mean time to failure of an IT device, R h And R is s Representing hardware failure rate and software failure rate of IT equipment, SL l Indicating the remaining life time in the rental state,indicating total service life under leasing state, wherein alpha and beta are proportional coefficients, alpha>0，β>0 and α+β=1.
Specifically, the formula is calculated as a value operation, where the mean time to failure of the hardware refers to the mean running time of the hardware device in a period of time, that is, the mean time interval between the completion of the last failure repair and the next failure occurrence of the device, and is usually measured in units of hours, and the higher the value, the higher the reliability of the device, and the lower the frequency of failure occurrence. The average software failure free time refers to the time that a software system or an application program runs averagely in a period of time, that is, the average time interval between the completion of the last failure repair of the software system or the application program and the next failure occurrence is usually measured in units of hours, and the higher the value is, the higher the stability of the software system or the application program is, and the lower the frequency of failure occurrence is.
The hardware failure rate refers to the probability of a hardware device failing within a certain time. Expressed in terms of the number of times each device fails per unit time. The software failure rate refers to the probability of failure of a software system or application within a certain time, and is expressed as the number of times each software system or application fails per unit time, similar to the hardware failure rate. The reliability of the IT equipment is measured by measuring the reliability of the hardware equipment and the software system through the hardware average time without fault and the software average time without fault and the hardware fault rate and the software fault rate.
FIG. 2 is a flow chart of a method for integrated management of maintenance of leased IT device assets to obtain a remaining useful life function in accordance with an exemplary embodiment of the present application;
as shown in fig. 2, the application provides a comprehensive management method for maintaining leased IT equipment assets, which further includes:
step S210: acquiring a residual service life function of the IT equipment in the leasing state according to the IT equipment history data in the leasing state;
step S220: and acquiring a residual service life function of the IT equipment in the non-leased state according to the IT equipment history data in the non-leased state, wherein an independent variable of the residual service life function is the residual service life, and the dependent variable is the probability of normal operation of the IT equipment.
Specifically, the purpose of steps S210 and S220 is to establish a function of the remaining life of the IT device in the rental state and the non-rental state from the history data, to evaluate the reliability of the device and predict the remaining life. According to the evaluation results, basis can be provided for lease maintenance and management of IT equipment, so that normal operation and maintenance of the equipment during lease are ensured.
FIG. 3 is a functional diagram illustrating the remaining useful life of IT equipment in a method for integrated management of maintenance of leased IT equipment assets in accordance with an exemplary embodiment of the present application;
as shown in fig. 3, a function diagram of remaining service life of an IT device in a rental state according to an exemplary embodiment is shown, where an abscissa indicates service life, a unit is year, an ordinate indicates normal operation probability of the IT device, and the normal operation probability of the IT device under different service lives is obtained through a large amount of historical data, so that a function image is obtained, and the remaining service life of the IT can be predicted through the function image.
Specifically, the normal working probability of the IT equipment under different service lives is obtained according to the historical data, and the following steps are realized:
historical data relating to the operational life and normal operating conditions of the IT devices is collected. The historical data includes service records, fault reports, maintenance records, and other relevant operation and maintenance data for the equipment.
And (5) sorting and cleaning the collected data, and ensuring the accuracy and the integrity of the data. And deleting abnormal data and missing data, and classifying the data according to equipment and service life.
And calculating the probability of normal operation of the equipment under different service lives according to the tidied data. Statistical methods and reliability analysis are used to calculate the probability of proper operation of the device.
And (5) corresponding the calculated normal working probability to the service life, and drawing a graph. The abscissa indicates the service life and the ordinate indicates the normal operation probability.
Only natural aging of the device in the stock state is considered for IT devices in the non-rental state.
In an exemplary embodiment, acquiring the hardware mean time between failure and the software mean time between failure of the IT device according to the hardware mean time between failure and the software mean time between failure of the IT device over different historical remaining service lives;
and acquiring the hardware failure rate and the software failure rate of the IT equipment according to the hardware failure rate and the software failure rate of the IT equipment under different historical residual service lives.
Specifically, according to the data of the IT equipment in different historical residual service lives, the hardware average fault-free time and the software average fault-free time of the IT equipment can be calculated. The specific implementation steps are as follows:
hardware fault records and software fault records of IT equipment under different residual service lives are collected. The records include information about the time of occurrence of the failure, the type of failure, the time of repair of the failure, etc. of the device.
And calculating the number of hardware faults and the number of software faults under each residual service life according to the collected data.
The calculation of the hardware mean time to failure may be performed using the following equation: hardware mean time to failure= (total time of use-total time of hardware failure)/number of hardware failures
The calculation of the software mean time to failure may be by the following formula: software mean time to failure= (total time of use-total time of software failure)/number of software failures
The total service time refers to the total running time of the device recorded in the historical data, the total time of the hardware faults refers to the accumulated time of the hardware faults, the total time of the software faults refers to the accumulated time of the software faults, the times of the hardware faults refer to the times of the hardware faults, and the times of the software faults refer to the times of the software faults.
Similarly, the hardware failure rate and the software failure rate can be directly obtained through historical data.
In an exemplary embodiment, the rental forecast evaluation function is:
wherein E is p To lease forecast evaluation function E i Representing an i-th IT device assessment score,and->Representing a hardware predicted mean time to failure and a software predicted mean time to failure of the current IT device after a lease time t,/for>And->Representing the hardware predictive failure rate and the software predictive failure rate of the current IT device after the lease time t,/I>Indicating the remaining life in the rental state after the rental time t.
FIG. 4 is a schematic diagram of allocation logic in a rental IT device asset maintenance integrated management method, as shown in an exemplary embodiment of the present application;
as shown in fig. 4, in an exemplary embodiment, the sorting from small to large according to the evaluation score, and the IT device allocation according to the sequence specifically includes:
sorting from small to large according to the evaluation score to obtain an IT equipment evaluation score table S it ；
Sequencing from small to large according to the lease time to obtain a lease IT equipment time table T it ；
According to the lease IT equipment time table T it In turn according to the IT device evaluation score table S it Is assigned.
Specifically, IT equipment is sequenced from small to large according to the evaluation score to obtain an IT equipment evaluation score table S it . A lower evaluation score indicates a poorer device reliability, and a higher evaluation score indicates a better device reliability.
Sorting IT equipment from small to large according to lease time to obtain a lease IT equipment time table T it . The shorter the rental time, the closer the device needs to be returned, and the longer the rental time, the longer the device can be used.
According to the lease IT equipment time table T it Sequentially according to the IT device evaluation score table S it Is assigned. I.e. the device with the lowest evaluation score is assigned first, the device with the higher evaluation score is reassigned, and so on.
By sorting according to the evaluation scores and assigning according to the rental time, a reasonable assignment of IT devices can be achieved. Devices with lower evaluation scores may require more frequent maintenance and shorter rental time, while devices with higher evaluation scores may be more reliable and may provide longer use. The distribution mode can improve reliability and stability of the leasing equipment to the greatest extent and meet leasing requirements.
In an exemplary embodiment, the method further comprises:
and obtaining the lease prediction evaluation score, comparing the lease prediction evaluation score with a preset lease prediction evaluation score threshold, and if the lease prediction evaluation score is smaller than the preset lease prediction evaluation score threshold, calculating to obtain a fault rate according to the difference value of the lease prediction evaluation score and the preset lease prediction evaluation score threshold.
Specifically, the calculation formula of the failure rate is:
wherein p is failure rate, E p1 Evaluating score threshold for lease prediction, E p The score is assessed for lease prediction. When the lease forecast evaluation score is smaller than a preset lease forecast evaluation score threshold value, following E p The higher the failure rate. In actual demand, a threshold value of the failure rate may be set, and when the threshold value of the failure rate is higher, the device cannot be leased. Or equipment tracking is performed, so that maintenance is convenient.
FIG. 5 is a schematic diagram of a rental IT device asset maintenance integrated management system, shown in accordance with an exemplary embodiment of the present application;
as shown in fig. 5, the exemplary integrated management system for maintenance of leased IT equipment assets includes:
and an information acquisition module: acquiring the equipment number, equipment type and lease time of the leasing target object;
and (3) establishing a function module: establishing an IT equipment evaluation function according to the parameters of the equipment type;
and an evaluation module: according to the IT equipment evaluation function, the IT equipment conforming to the equipment type is evaluated, and an evaluation score is obtained;
and a sequencing module: sorting from small to large according to the evaluation score, and distributing IT equipment according to the sequence;
the distribution module: and evaluating the IT equipment according to the evaluation score of the distributed IT equipment, the lease time and a preset lease prediction evaluation function to obtain a lease prediction evaluation score, and distributing the lease prediction evaluation score to meet the number of all the equipment when the lease prediction evaluation score is greater than or equal to a preset lease prediction evaluation score threshold.
IT should be noted that, the integrated management system for maintenance of leased IT equipment provided in the foregoing embodiment and the integrated management method for maintenance of leased IT equipment provided in the foregoing embodiment belong to the same concept, and the specific manner in which each module and unit perform the operation has been described in detail in the method embodiment, which is not repeated herein. In practical application, the integrated management system for maintenance of rented IT equipment assets provided in the above embodiment may allocate the functions to different functional modules according to needs, that is, the internal structure of the system is divided into different functional modules to complete all or part of the functions described above, which is not limited herein.
The embodiment of the application also provides electronic equipment, which comprises: one or more processors; and the storage device is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the electronic equipment realizes the integrated management method for maintaining the rented IT equipment assets provided in the various embodiments.
Fig. 6 shows a schematic diagram of a computer system suitable for use in implementing an embodiment of the application. It should be noted that, the computer system 600 of the electronic device shown in fig. 6 is only an example, and should not impose any limitation on the functions and the application scope of the embodiments of the present application.
As shown in fig. 6, the computer system 600 includes a central processing unit (Central Processing Unit, CPU) 601, which can perform various appropriate actions and processes according to a program stored in a Read-Only Memory (ROM) 602 or a program loaded from a storage section 608 into a random access Memory (Random Access Memory, RAM) 603, for example, performing the method described in the above embodiment. In the RAM 603, various programs and data required for system operation are also stored. The CPU 601, ROM 602, and RAM 603 are connected to each other through a bus 604. An Input/Output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, mouse, etc.; an output portion 607 including a Cathode Ray Tube (CRT), a liquid crystal display (Liquid Crystal Display, LCD), and a speaker, etc.; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN (Local Area Network ) card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The drive 610 is also connected to the I/O interface 605 as needed. Removable media 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed as needed on drive 610 so that a computer program read therefrom is installed as needed into storage section 608.
In particular, according to embodiments of the present application, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising a computer program for performing the method shown in the flowchart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication portion 609, and/or installed from the removable medium 611. When executed by a Central Processing Unit (CPU) 601, performs the various functions defined in the system of the present application.
It should be noted that, the computer readable medium shown in the embodiments of the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium may be, for example, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-Only Memory (ROM), an erasable programmable read-Only Memory (Erasable Programmable Read Only Memory, EPROM), flash Memory, an optical fiber, a portable compact disc read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer-readable signal medium may comprise a data signal propagated in baseband or as part of a carrier wave, with a computer-readable computer program embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. A computer program embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. Where each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments of the present application may be implemented by software, or may be implemented by hardware, and the described units may also be provided in a processor. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.
Another aspect of the application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor implements a rental IT equipment asset maintenance integrated management method as described above. The computer-readable storage medium may be included in the electronic device described in the above embodiment or may exist alone without being incorporated in the electronic device.
Another aspect of the application also provides a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs a rental IT equipment asset maintenance integrated management method provided in the above embodiments.
The above embodiments are merely illustrative of the principles of the present application and its effectiveness, and are not intended to limit the application. Modifications and variations may be made to the above-described embodiments by those skilled in the art without departing from the spirit and scope of the application. It is therefore intended that all equivalent modifications and changes made by those skilled in the art without departing from the spirit and technical spirit of the present application shall be covered by the appended claims.
Claims (10)
1. The integrated management method for maintenance of the leased IT equipment assets is characterized by comprising the following steps:
acquiring the equipment number, equipment type and lease time of the leasing target object;
establishing an IT equipment evaluation function according to the parameters of the equipment type;
according to the IT equipment evaluation function, the IT equipment conforming to the equipment type is evaluated, and an evaluation score is obtained;
sorting from small to large according to the evaluation score, and distributing IT equipment according to the sequence;
and evaluating the IT equipment according to the evaluation score of the distributed IT equipment, the lease time and a preset lease prediction evaluation function to obtain a lease prediction evaluation score, and distributing the lease prediction evaluation score to meet the number of all the equipment when the lease prediction evaluation score is greater than or equal to a preset lease prediction evaluation score threshold.
2. The method of claim 1, wherein the IT device assessment function is:
wherein E represents an IT device evaluation function, T h And T s Representing hardware mean time to failure and software mean time to failure of an IT device, R h And R is s Representing hardware failure rate and software failure rate of IT equipment, SL l Indicating the remaining life time in the rental state,indicating total service life under leasing state, wherein alpha and beta are proportional coefficients, alpha>0，β>0 and α+β=1.
3. The rental IT equipment asset maintenance integrated management method of claim 2, further comprising:
acquiring a residual service life function of the IT equipment in the leasing state according to the IT equipment history data in the leasing state;
and acquiring a residual service life function of the IT equipment in the non-leased state according to the IT equipment history data in the non-leased state, wherein an independent variable of the residual service life function is the residual service life, and the dependent variable is the probability of normal operation of the IT equipment.
4. The rental IT equipment asset maintenance integrated management method of claim 3, wherein:
acquiring the hardware average non-failure time and the software average non-failure time of the IT equipment according to the hardware average non-failure time and the software average non-failure time of the IT equipment under different historical residual service lives;
and acquiring the hardware failure rate and the software failure rate of the IT equipment according to the hardware failure rate and the software failure rate of the IT equipment under different historical residual service lives.
5. The rental IT equipment asset maintenance integrated management method of claim 3, wherein the rental prediction assessment function is:
wherein E is p To lease forecast evaluation function E i Representing an i-th IT device assessment score,and->Representing a hardware predicted mean time to failure and a software predicted mean time to failure of the current IT device after a lease time t,/for>And->Representing the hardware predictive failure rate and the software predictive failure rate of the current IT device after the lease time t,/I>Indicating the remaining life in the rental state after the rental time t.
6. The integrated management method for maintenance of leased IT equipment assets according to claim 1, wherein the sorting from small to large is performed according to the evaluation score, and the IT equipment allocation is performed according to the order, specifically comprising:
sorting from small to large according to the evaluation score to obtain an IT equipment evaluation score table S it ；
Sequencing from small to large according to the lease time to obtain a lease IT equipment time table T it ；
According to the lease IT equipment time table T it In turn according to the IT device evaluation score table S it Is assigned.
7. The rental IT equipment asset maintenance integrated management method of claim 1, further comprising:
and obtaining the lease prediction evaluation score, comparing the lease prediction evaluation score with a preset lease prediction evaluation score threshold, and if the lease prediction evaluation score is smaller than the preset lease prediction evaluation score threshold, calculating to obtain a fault rate according to the difference value of the lease prediction evaluation score and the preset lease prediction evaluation score threshold.
8. A rental IT equipment asset maintenance integrated management system, comprising:
and an information acquisition module: acquiring the equipment number, equipment type and lease time of the leasing target object;
and (3) establishing a function module: establishing an IT equipment evaluation function according to the parameters of the equipment type;
and an evaluation module: according to the IT equipment evaluation function, the IT equipment conforming to the equipment type is evaluated, and an evaluation score is obtained;
and a sequencing module: sorting from small to large according to the evaluation score, and distributing IT equipment according to the sequence;
the distribution module: and evaluating the IT equipment according to the evaluation score of the distributed IT equipment, the lease time and a preset lease prediction evaluation function to obtain a lease prediction evaluation score, and distributing the lease prediction evaluation score to meet the number of all the equipment when the lease prediction evaluation score is greater than or equal to a preset lease prediction evaluation score threshold.
9. An electronic device, the electronic device comprising:
one or more processors;
storage means for storing one or more programs which, when executed by the one or more processors, cause the electronic device to implement a rental IT equipment asset maintenance integrated management method as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor of a computer, causes the computer to perform a rental IT equipment asset maintenance integrated management method of any one of claims 1 to 7.
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| US20070094107A1 (en) * | 2005-10-20 | 2007-04-26 | Susan Franklin | Method of evaluating and managing equipment lease portfolios |
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