CN105405219A - Method and device for obtaining problems of self-service terminal - Google Patents

Method and device for obtaining problems of self-service terminal Download PDF

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Publication number
CN105405219A
CN105405219A CN201510701221.6A CN201510701221A CN105405219A CN 105405219 A CN105405219 A CN 105405219A CN 201510701221 A CN201510701221 A CN 201510701221A CN 105405219 A CN105405219 A CN 105405219A
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China
Prior art keywords
suspicious item
sorted
atm
self
suspicious
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CN201510701221.6A
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CN105405219B (en
Inventor
谢卫平
陈盘中
崔士友
李海洋
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Nanjing Yihua Information Technology Co., Ltd.
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Shenzhen Yihua Computer Co Ltd
Shenzhen Yihua Time Technology Co Ltd
Shenzhen Yihua Financial Intelligent Research Institute
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Priority to CN201510701221.6A priority Critical patent/CN105405219B/en
Publication of CN105405219A publication Critical patent/CN105405219A/en
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    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07F—COIN-FREED OR LIKE APPARATUS
    • G07F19/00—Complete banking systems; Coded card-freed arrangements adapted for dispensing or receiving monies or the like and posting such transactions to existing accounts, e.g. automatic teller machines
    • G07F19/20—Automatic teller machines [ATMs]
    • G07F19/206—Software aspects at ATMs
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07F—COIN-FREED OR LIKE APPARATUS
    • G07F19/00—Complete banking systems; Coded card-freed arrangements adapted for dispensing or receiving monies or the like and posting such transactions to existing accounts, e.g. automatic teller machines
    • G07F19/20—Automatic teller machines [ATMs]
    • G07F19/209—Monitoring, auditing or diagnose of functioning of ATMs

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  • Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

Embodiments of the invention disclose a method and a device for obtaining problems of a self-service terminal. The method comprises: layering a self-service terminal system according to operating environment; classifying each layer of resources of the self-service terminal system according to business requirements; dividing each kind of classified resources into suspicious items and non-suspicious items according to the problem the self-service terminal has; according to preset decreasing exclusion and/or increasing examination, obtaining the problem the self-service terminal has, the decreasing exclusion being used to obtain the problem the self-service terminal has according to a preset exclusion sequence, and the increasing examination being used to examine the problem the self-service terminal has according to a preset examination sequence, so as to make the self-service terminal system modeling. The model is resolved, and refined layer by layer, and a set of analysis process is made. Referring to the process, decreasing exclusion and increasing examination are performed, so that problems of the self-service terminal system can be analyzed in a systemic and process manner, and accuracy of analysis is improved.

Description

A kind of method and device obtaining self-aided terminal
Technical field
The embodiment of the present invention relates to the technical field of finance self-help terminal, particularly relates to a kind of method and the device that obtain self-service terminal problem.
Background technology
Along with the fast development of bank in recent years, bank service site, self-service terminal are all in continuous increase, miscellaneous service system also fast integration on self-aided terminal, under this trend, self-service terminal system is also more and more huger, naturally system is more unstable, once occur that the problems such as similar blue screen, deadlock still lean on experience according to present stage and unsystematic is guessed, just more difficult investigation.Certainly, if self-service terminal system can be decomposed according to corresponding manner, analyze with reference to related procedure, that analyst more easily finds out reason.
But, in current techniques and business, the system of a self-aided terminal includes hardware resource, self-aided terminal business software resource, third party's resource (similar anti-virus software resource) etc., the stability of fusion to self-service terminal system of various resource brings very large impact and uncertain risk, such as blue screen, crash, the difficult and complicated cases such as blank screen, great majority were still by experience and guessed without sequence present stage, only pure is inadequate by self-service terminal system daily record without analysis of strategies, so just likely strengthen and analyze difficulty, not easily by whole analytic process sharpening.
Summary of the invention
The object of the embodiment of the present invention is to propose a kind of method and the device that obtain self-service terminal problem, is intended to solve how by self-service terminal system modelling and the problem improving the accuracy analyzing self-aided terminal problem.
For reaching this object, the embodiment of the present invention by the following technical solutions:
First aspect, a kind of method obtaining self-service terminal problem, described method comprises:
Carry out layering to self-service terminal system according to running environment, the running environment after layering comprises application layer, system layer and hardware layer;
Every layer of resource of described self-service terminal system is classified according to business demand;
Sorted every class resource is divided into suspicious item and non-suspicious item according to described self-aided terminal Problems existing;
Get rid of according to the degression type pre-set and/or incrementally investigate and obtain described self-aided terminal Problems existing, described degression type is got rid of the eliminating order be used for according to pre-setting and is obtained described self-aided terminal Problems existing, and the investigation order that described incrementally investigation is used for according to pre-setting investigates described self-aided terminal Problems existing.
Preferably, described every layer of resource to described self-service terminal system is classified according to business demand, comprising:
The resource of described application layer is categorized as ATM service class system and non-ATM service class system according to business demand;
The resource of described hardware layer is categorized as atm module class and industrial computer module class according to business demand;
The resource of described system layer is categorized as the main kernel file of system, group policy, system associated component, system mend according to business demand, serves, other configurations of the system paid close attention to and registration tablies of paying close attention to.
Preferably, described sorted every class resource is divided into suspicious item and non-suspicious item according to described self-aided terminal Problems existing, comprises:
Be suspicious item ATMC software, ATM middleware and SP software by sorted ATM service class system divides;
Be non-suspicious item ATM remote distribution software, ATM monitoring software, ATM log analysis tool and ATM testing tool by sorted ATM service class system divides;
Be suspicious item Anti-Virus, security control software and desktop management and control software by sorted non-ATM service class system divides;
Be non-suspicious item encryption software, compressed software and ftp software by sorted non-ATM service class system divides;
Described sorted every class resource is divided into suspicious item and non-suspicious item according to described self-aided terminal Problems existing, comprises:
Sorted atm module class is divided into suspicious item movement and driving, card reader and driving thereof and flowing water printer and driving thereof;
Sorted atm module class be divided into non-suspicious item strip printer and drive and touch-screen and driving thereof;
Sorted industrial computer module class is divided into suspicious item mainboard and driving, internal memory and driving, hard disk and driving, video card and driving thereof and CPU and driving thereof;
Sorted industrial computer module class be divided into non-suspicious item network interface card and drive and sound card and driving thereof;
Described sorted every class resource is divided into suspicious item and non-suspicious item according to described self-aided terminal Problems existing, comprises:
Sorted system associated component is divided into suspicious item IE assembly, activex control and Flash control;
Sorted system associated component is divided into non-suspicious item system font component and system language pack assembly;
Sorted system mend is divided into suspicious item system component and upgrades patch;
Sorted system mend is divided into non-suspicious item system security update patch;
Other configurations of the sorted system paid close attention to are divided into suspicious item hyperthread and multi-core technology, Direct3D speed technology, USB power source aspect and power supply option;
The sorted registration table paid close attention to is divided into HKEY_LOCAL_MACHINE SYSTEM CurrentControlSet, HKEY_LOCAL_MACHINE SOFTWARE Microsoft WindowsNT and HKEY_CURRENT_USER ControlPanel.
Preferably, the degression type that described basis pre-sets gets rid of the described self-aided terminal Problems existing of acquisition, comprising:
The priority order from high to low of the suspicious item of every class resource of every layer or non-suspicious item is got rid of described self-aided terminal Problems existing one by one; Or,
When entirety gets rid of at least one suspicious item or at least one non-suspicious item of every class resource of every layer, if detect, the operation of described self-aided terminal has problem, then described in getting rid of current overall, at least one suspicious item or at least one non-suspicious item described are got rid of one by one according to priority order from high to low.
Preferably, the incrementally investigation that described basis pre-sets obtains described self-aided terminal Problems existing, comprising:
On the basis that current described self-aided terminal normally runs, the priority order from high to low of the suspicious item of every class resource of every layer or non-suspicious item is increased one by one rear continuation and detect described self-aided terminal and run whether have problem;
If detect, the operation of described self-aided terminal has problem, then the described suspicious item increased or described non-suspicious item are described self-aided terminal Problems existing.
Preferably, the degression type that described basis pre-sets is got rid of and incrementally investigation obtains described self-aided terminal Problems existing, comprising:
On the basis that current described self-aided terminal normally runs, continue to detect described self-aided terminal after at least one suspicious item of every class resource of every layer or at least one non-suspicious item being increased and run whether have problem;
If detect, the operation of described self-aided terminal has problem, then get rid of one by one according to priority order from high to low at least one suspicious item described or at least one non-suspicious item described.
Second aspect, a kind of device obtaining self-service terminal problem, described device comprises:
Hierarchical block, for carrying out layering to self-service terminal system according to running environment, the running environment after layering comprises application layer, system layer and hardware layer;
Sort module, for classifying according to business demand to every layer of resource of described self-service terminal system;
Divide module, for sorted every class resource is divided into suspicious item and non-suspicious item according to problematic phenomenon;
Acquisition module, described self-aided terminal Problems existing is obtained for getting rid of according to the degression type pre-set and/or incrementally investigating, described degression type is got rid of the eliminating order be used for according to pre-setting and is got rid of described self-aided terminal Problems existing, and described incrementally investigation is used for the described self-aided terminal Problems existing of investigation according to pre-setting.
Preferably, described sort module, comprising:
First taxon, for being categorized as ATM service class system and non-ATM service class system by the resource of described application layer according to business demand;
Second taxon, for being categorized as atm module class and industrial computer module class by the resource of described hardware layer according to business demand;
3rd taxon, for the resource of described system layer is categorized as the main kernel file of system, group policy, system associated component, system mend according to business demand, serve, other configurations of the system paid close attention to and registration tablies of paying close attention to.
Preferably, described division module, comprising:
First division unit, for being suspicious item ATMC software, ATM middleware and SP software by sorted ATM service class system divides;
Second division unit, for by sorted ATM service class system divides being non-suspicious item ATM remote distribution software, ATM monitoring software, ATM log analysis tool and ATM testing tool;
3rd division unit, for being suspicious item Anti-Virus, security control software and desktop management and control software by sorted non-ATM service class system divides;
4th division unit, for being non-suspicious item encryption software, compressed software and ftp software by sorted non-ATM service class system divides;
5th division unit, for being divided into suspicious item movement and driving, card reader and driving thereof and flowing water printer and driving thereof by sorted atm module class;
6th division unit, for being divided into non-suspicious item strip printer and driving and touch-screen and driving thereof by sorted atm module class;
7th division unit, for being divided into suspicious item mainboard and driving, internal memory and driving, hard disk and driving, video card and driving thereof and CPU and driving thereof by sorted industrial computer module class;
8th division unit, for being divided into non-suspicious item network interface card and driving and sound card and driving thereof by sorted industrial computer module class;
9th division unit, for being divided into suspicious item IE assembly, activex control and Flash control by sorted system associated component;
Tenth division unit, for being divided into non-suspicious item system font component and system language pack assembly by sorted system associated component;
11 division unit, upgrades patch for sorted system mend being divided into suspicious item system component;
12 division unit, for being divided into non-suspicious item system security update patch by sorted system mend;
13 division unit, for being divided into suspicious item hyperthread and multi-core technology, Direct3D speed technology, USB power source aspect and power supply option by other configurations of the sorted system paid close attention to;
14 division unit, for the sorted registration table paid close attention to is divided into HKEY_LOCAL_MACHINE SYSTEM CurrentControlSet, HKEY_LOCAL_MACHINE SOFTWARE Microsoft WindowsNT and HKEY_CURRENT_USER ControlPanel.
Preferably, described acquisition module, comprising:
First rejected unit, for getting rid of described self-aided terminal Problems existing one by one by the priority order from high to low of the suspicious item of every class resource of every layer or non-suspicious item; Or,
Second rejected unit, for getting rid of at least one suspicious item of every class resource or at least one non-suspicious item of every layer in entirety, if detect, the operation of described self-aided terminal has problem, then described in getting rid of current overall, at least one suspicious item or at least one non-suspicious item described are got rid of one by one according to priority order from high to low.
Preferably, described acquisition module, comprising:
First detecting unit, for the basis normally run at current described self-aided terminal, increases rear continuation one by one and detects described self-aided terminal and run whether there is problem by the priority order from high to low of the suspicious item of every class resource of every layer or non-suspicious item;
Determining unit, if for detecting that the operation of described self-aided terminal has problem, then determine that the described suspicious item of increase or described non-suspicious item are described self-aided terminal Problems existing.
Preferably, described acquisition module, comprising:
Second detecting unit, for the basis normally run at current described self-aided terminal, continues to detect described self-aided terminal after at least one suspicious item of every class resource of every layer or at least one non-suspicious item being increased and runs whether there is problem;
3rd rejected unit, if for detecting that the operation of described self-aided terminal has problem, then get rid of one by one according to priority order from high to low at least one suspicious item described or at least one non-suspicious item described.
The embodiment of the present invention is by carrying out layering to self-service terminal system according to running environment, and the running environment after layering comprises application layer, system layer and hardware layer, every layer of resource of described self-service terminal system is classified according to business demand, sorted every class resource is divided into suspicious item and non-suspicious item according to described self-aided terminal Problems existing, get rid of according to the degression type pre-set and/or incrementally investigate and obtain described self-aided terminal Problems existing, described degression type is got rid of the eliminating order be used for according to pre-setting and is obtained described self-aided terminal Problems existing, the investigation order that described incrementally investigation is used for according to pre-setting investigates described self-aided terminal Problems existing, thus by self-service terminal system modelling, this model is decomposed, successively refinement, and formulate a set of analysis process, carry out degression type with reference to flow process get rid of and incrementally investigate, to be more convenient for like this systematicness, procedure analyzes self-service terminal system problem, improve precision of analysis.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet that the embodiment of the present invention obtains method first embodiment of self-service terminal problem;
Fig. 2 is the high-level schematic functional block diagram that the embodiment of the present invention obtains the device of self-service terminal problem;
Fig. 3 is the high-level schematic functional block diagram of embodiment of the present invention sort module;
Fig. 4 is the high-level schematic functional block diagram that the embodiment of the present invention divides module;
Fig. 5 is the high-level schematic functional block diagram of embodiment of the present invention acquisition module;
Fig. 6 is another high-level schematic functional block diagram of embodiment of the present invention acquisition module;
Fig. 7 is another high-level schematic functional block diagram of embodiment of the present invention acquisition module.
Embodiment
Below in conjunction with drawings and Examples, the embodiment of the present invention is described in further detail.Be understandable that, specific embodiment described herein is only for explaining the embodiment of the present invention, but not the restriction to the embodiment of the present invention.It also should be noted that, for convenience of description, illustrate only the part relevant to the embodiment of the present invention in accompanying drawing but not entire infrastructure.
Embodiment one
The schematic flow sheet that the embodiment of the present invention obtains method first embodiment of self-service terminal problem with reference to figure 1, Fig. 1.
In embodiment one, the method for the self-service terminal problem of described acquisition comprises:
Step 101, carries out layering to self-service terminal system according to running environment, and the running environment after layering comprises application layer, system layer and hardware layer;
Concrete, when similar deadlock, blue screen, blank screen phenomenon occur self-service terminal system, first by self-service terminal system integrally, then divide three layers according to running environment by self-service terminal system, i.e. application layer, system layer, hardware layer.
Step 102, classifies according to business demand to every layer of resource of described self-service terminal system;
Preferably, described every layer of resource to described self-service terminal system is classified according to business demand, comprising:
The resource of described application layer is categorized as ATM service class system and non-ATM service class system according to business demand;
The resource of described hardware layer is categorized as atm module class and industrial computer module class according to business demand;
The resource of described system layer is categorized as the main kernel file of system, group policy, system associated component, system mend according to business demand, serves, other configurations of the system paid close attention to and registration tablies of paying close attention to.
Concrete, further, the application layer divided with regard to self-service terminal system, system layer, hardware layer segment by business:
Application layer is divided into ATM operation system and third party's operation system by business, and ATM operation system is divided into the system such as ATMC, SP, middleware, monitoring, distribution, Third party system is divided into Anti-Virus, security control software, desktop management and control software, arranges other non-ATM class operation systems such as instrument;
Hardware layer is divided into ATM business module and industrial computer module, ATM business module mainly pays close attention to module and the associated drives thereof such as strip, flowing water, touch-screen, movement, card reader, and industrial computer module mainly pays close attention to equipment and the associated drives thereof such as mainboard, hard disk, internal memory, video card, CPU, sound card, network interface card;
System layer mainly pays close attention to group policy, service, registration table, Windows associated component, kernel-driven file etc.
Step 103, is divided into suspicious item and non-suspicious item by sorted every class resource according to described self-aided terminal Problems existing;
Preferably, described sorted every class resource is divided into suspicious item and non-suspicious item according to described self-aided terminal Problems existing, comprises:
Be suspicious item ATMC software, ATM middleware and SP software by sorted ATM service class system divides;
Be non-suspicious item ATM remote distribution software, ATM monitoring software, ATM log analysis tool and ATM testing tool by sorted ATM service class system divides;
Be suspicious item Anti-Virus, security control software and desktop management and control software by sorted non-ATM service class system divides;
Be non-suspicious item encryption software, compressed software and ftp software by sorted non-ATM service class system divides;
Described sorted every class resource is divided into suspicious item and non-suspicious item according to described self-aided terminal Problems existing, comprises:
Sorted atm module class is divided into suspicious item movement and driving, card reader and driving thereof and flowing water printer and driving thereof;
Sorted atm module class be divided into non-suspicious item strip printer and drive and touch-screen and driving thereof;
Sorted industrial computer module class is divided into suspicious item mainboard and driving, internal memory and driving, hard disk and driving, video card and driving thereof and CPU and driving thereof;
Sorted industrial computer module class be divided into non-suspicious item network interface card and drive and sound card and driving thereof;
Described sorted every class resource is divided into suspicious item and non-suspicious item according to described self-aided terminal Problems existing, comprises:
Sorted system associated component is divided into suspicious item IE assembly, activex control and Flash control;
Sorted system associated component is divided into non-suspicious item system font component and system language pack assembly;
Sorted system mend is divided into suspicious item system component and upgrades patch;
Sorted system mend is divided into non-suspicious item system security update patch;
Other configurations of the sorted system paid close attention to are divided into suspicious item hyperthread and multi-core technology, Direct3D speed technology, USB power source aspect and power supply option;
The sorted registration table paid close attention to is divided into HKEY_LOCAL_MACHINE SYSTEM CurrentControlSet, HKEY_LOCAL_MACHINE SOFTWARE Microsoft WindowsNT and HKEY_CURRENT_USER ControlPanel.
Concrete, according to self-service terminal system problematic phenomenon, in preliminary judgement self-service terminal system every layer of resource, subclass resource may be relevant with problem, in summarizing every layer resource, which subitem is the suspicious item of suspicious Xiang Yufei, and just determine suspicious item by ranking score, from high to low (following standard all needs to remodify according to particular problem phenomenon to draft, and to crash, the phenomenon such as blue screen, blank screen considers):
Application layer: ATMC, the SP of ATM operation system, middleware tentatively judge to be classified as suspicious item from high in the end, and monitor, distribute and be classified as non-suspicious item temporarily; Third party system Anti-Virus, fail-safe software, desktop management and control software are tentatively judged to be classified as suspicious item from high to low, and other non-ATM class operation systems such as instrument be set be classified as non-suspicious item temporarily;
Hardware layer: in ATM business module, movement, card reader, flowing water module and associated drives thereof can tentatively judge to be classified as suspicious item from high to low, and the module such as strip, touch-screen and associated drives thereof are classified as non-suspicious item temporarily, and mainboard, hard disk, internal memory, video card module and associated drives thereof tentatively judge to be classified as suspicious item from high to low in industrial computer, and CPU, network interface card, sound card are classified as non-suspicious item temporarily;
System layer: the preliminary judgement such as kernel-driven file, group policy, service and registration table thereof is classified as suspicious item from high to low, and Windows associated component and registration table etc. thereof are classified as non-suspicious item temporarily.
Step 104, get rid of according to the degression type pre-set and/or incrementally investigate and obtain described self-aided terminal Problems existing, described degression type is got rid of the eliminating order be used for according to pre-setting and is obtained described self-aided terminal Problems existing, and the investigation order that described incrementally investigation is used for according to pre-setting investigates described self-aided terminal Problems existing.
Preferably, the degression type that described basis pre-sets gets rid of the described self-aided terminal Problems existing of acquisition, comprising:
The priority order from high to low of the suspicious item of every class resource of every layer or non-suspicious item is got rid of described self-aided terminal Problems existing one by one; Or,
When entirety gets rid of at least one suspicious item or at least one non-suspicious item of every class resource of every layer, if detect, the operation of described self-aided terminal has problem, then described in getting rid of current overall, at least one suspicious item or at least one non-suspicious item described are got rid of one by one according to priority order from high to low.
Concrete, in self-aided terminal problem system, get rid of one by one in every layer of resource from the suspicious item of height to low suspicious item, no longer go wrong as carried out automatic test on this basis, then exclusion process terminates, and can confirm which subitem is real suspicious item; Still go wrong as carried out automatic test on this basis, just continue to get rid of other non-suspicious items, successively peel off misarrangement, constantly reduce analyst coverage, till after certain subitem is rejected in confirmation, automatic test no longer goes wrong, now can confirm the suspicious item causing problem real, debug process completes (following process all needs to carry out replacing order investigation according to particular problem phenomenon, and to crash, the phenomenon such as blue screen, blank screen considers):
For application layer, first emphasis gets rid of the suspicious item of ATM operation system from high to low, then the non-suspicious item of ATM operation system is got rid of, get rid of the suspicious item of third party non-ATM operation system afterwards, finally get rid of the non-suspicious item of third party non-ATM operation system: I) from the suspicious item such as ATMC, SP, middleware of ATM operation system one by one, carry out automatic test no longer go wrong as removed wherein certain subitem, can illustrate that certain suspicious item is for causing the real suspicious item of problem, then get rid of end; As still gone wrong, continue the non-suspicious item such as monitoring, distribution confirming ATM operation system initial decision, carrying out automatic test no longer go wrong as removed wherein certain subitem, can illustrating that certain suspicious item is for causing the real suspicious item of problem, then get rid of end; II) as still gone wrong, continue the suspicious item such as Anti-Virus, fail-safe software, desktop management and control software of the non-ATM operation system of investigation third party, carry out automatic test no longer go wrong as removed wherein certain subitem, can illustrate that certain suspicious item is for causing the real suspicious item of problem, then get rid of end; As still gone wrong, that continues the non-ATM operation system of investigation third party arranges the non-suspicious items such as instrument, carry out automatic test no longer go wrong as removed wherein certain subitem, can illustrate that certain suspicious item is for causing the real suspicious item of problem, then get rid of end, as still gone wrong, then illustrating that this layer is got rid of substantially, the investigation of lower one deck can be carried out;
For hardware layer, first emphasis gets rid of the suspicious item of atm module from high to low, then the non-suspicious item of atm module is got rid of, get rid of the suspicious item of industrial computer module afterwards, the non-suspicious item of last industrial computer module: I) from the movement of atm module, card reader, the suspicious item such as flowing water module and associated drives thereof one by one, carrying out automatic test no longer go wrong as removed wherein certain subitem, can illustrating that certain suspicious item is for causing the real suspicious item of problem, then get rid of end; As still gone wrong, continue the non-suspicious item such as module and associated drives thereof such as strip, touch-screen confirming ATM operation system initial decision, carry out automatic test no longer go wrong as removed wherein certain subitem, can illustrate that certain suspicious item is for causing the real suspicious item of problem, then get rid of end; II) as still gone wrong, to continue in investigation third party industrial computer the suspicious items such as mainboard, hard disk, internal memory, video card module and associated drives thereof, carry out automatic test no longer go wrong as removed wherein certain subitem, can illustrate that certain suspicious item is for causing the real suspicious item of problem, then get rid of end; As still gone wrong, continue the non-suspicious items such as investigation CPU, network interface card, sound card, carry out automatic test no longer go wrong as removed wherein certain subitem, can illustrate that certain suspicious item is for causing the real suspicious item of problem, then get rid of end, as still gone wrong, then illustrating that this layer is got rid of substantially, the investigation of lower one deck can be carried out;
For system layer, first emphasis gets rid of the suspicious items such as kernel-driven file, group policy, service and registration table thereof from high to low, as no longer gone wrong, can illustrate that certain suspicious item is for causing the real suspicious item of problem, carry out refinement again and enter next circulation eliminating, until it is complete to minimize eliminating, confirms which minimum subitem is relevant with problem, now get rid of end; As still gone wrong, continuing non-suspicious item such as investigation Windows associated component and registration table etc. thereof, as no longer gone wrong, can illustrating that certain suspicious item is for causing the real suspicious item of problem, carry out refinement again and enter next circulation eliminating, until it is complete to minimize eliminating.
Preferably, the incrementally investigation that described basis pre-sets obtains described self-aided terminal Problems existing, comprising:
On the basis that current described self-aided terminal normally runs, the priority order from high to low of the suspicious item of every class resource of every layer or non-suspicious item is increased one by one rear continuation and detect described self-aided terminal and run whether have problem;
If detect, the operation of described self-aided terminal has problem, then the described suspicious item increased or described non-suspicious item are described self-aided terminal Problems existing.
Concrete, in self-aided terminal starter system, according to self-aided terminal business, first drive from hardware layer to system layer, arriving application layer again, increase in every layer of resource one by one to low suspicious item from the suspicious item of height, going wrong as carried out automatic test on this basis, then additive process terminates, and can confirm which subitem is the suspicious item causing problem real; Still do not go wrong as carried out automatic test on this basis, just continue to add other non-suspicious items, successively superpose misarrangement, constantly reduce analyst coverage, till after certain subitem is added in confirmation, automatic test goes wrong, now can confirm the suspicious item causing problem real, debug process completes (following process all needs to carry out replacing order investigation according to particular problem phenomenon, and to crash, the phenomenon such as blue screen, blank screen considers):
For hardware layer, according to the environmental requirement of self-aided terminal final system, first emphasis adds the suspicious item of industrial computer module from high to low, then the non-suspicious item of industrial computer module is added, add the suspicious item of atm module afterwards, the non-suspicious item finally adding atm module is investigated item by item: I) the suspicious item such as mainboard, hard disk, internal memory, video card module and associated drives thereof from third party's industrial computer, carry out automatic test go wrong as added wherein certain subitem, can illustrate that certain suspicious item is for causing the real suspicious item of problem, then get rid of end; If do not gone wrong, continuing non-suspicious item such as investigation CPU, network interface card, sound card etc., carrying out automatic test go wrong as added wherein certain subitem, can illustrate that certain suspicious item is for causing the real suspicious item of problem, then get rid of end; II) if do not gone wrong, continue from the suspicious items such as the movement of atm module, card reader, flowing water module and associated drives thereof one by one, carry out automatic test go wrong as added wherein certain subitem, can illustrate that certain suspicious item is for causing the real suspicious item of problem, then get rid of end; If do not gone wrong, continue the non-suspicious item such as module and associated drives thereof such as strip, touch-screen confirming ATM operation system initial decision, carrying out automatic test go wrong as added wherein certain subitem, can illustrating that certain suspicious item is for causing the real suspicious item of problem, then get rid of end; If do not gone wrong, then illustrating that this layer is got rid of substantially, the investigation of lower one deck can be carried out;
For system layer, according to the environmental requirement of self-aided terminal final system, first emphasis adds the suspicious items such as its relevant kernel driving file, group policy, service and registration table thereof from high to low, as gone wrong, can illustrate that certain suspicious item is for causing the real suspicious item of problem, then carry out refinement and enter next circulation and get rid of, get rid of complete until add minimum subitem, confirm which minimum subitem is relevant with problem, now get rid of end; If do not gone wrong, continue to add the non-suspicious item such as Windows associated component and registration table thereof, as gone wrong, can illustrate that certain suspicious item is for causing the real suspicious item of problem, carrying out refinement again and enter next circulation eliminating, getting rid of complete, as still do not gone wrong until add minimum subitem, then illustrate that this layer is got rid of substantially, the investigation of lower one deck can be carried out;
For application layer, according to the environmental requirement of self-aided terminal final system, first emphasis adds the suspicious item of ATM operation system from high to low, then the non-suspicious item of ATM operation system is added, add the suspicious item of third party non-ATM operation system afterwards, the non-suspicious item finally adding third party non-ATM operation system is investigated item by item: I) from the suspicious item such as ATMC, SP, middleware of ATM operation system one by one, carry out automatic test go wrong as added wherein certain subitem, can illustrate that certain subitem is the real suspicious item causing problem, then get rid of end; If do not gone wrong, continuing the non-suspicious item such as monitoring, distribution of superposition ATM operation system initial decision, carrying out automatic test go wrong as added wherein certain subitem, can illustrate that certain subitem is the real suspicious item causing problem, then get rid of end; II) if do not gone wrong, continue the suspicious item such as Anti-Virus, fail-safe software, desktop management and control software adding the non-ATM operation system of third party, carry out automatic test go wrong as added wherein certain subitem, can illustrate that certain subitem is the real suspicious item causing problem, then get rid of end; If do not gone wrong, that continues to add third party non-ATM operation system arranges the non-suspicious items such as instrument, carrying out automatic test and goes wrong, can illustrating that certain suspicious item is for causing the real suspicious item of problem, then get rid of end as added wherein certain subitem.
Preferably, the degression type that described basis pre-sets is got rid of and incrementally investigation obtains described self-aided terminal Problems existing, comprising:
On the basis that current described self-aided terminal normally runs, continue to detect described self-aided terminal after at least one suspicious item of every class resource of every layer or at least one non-suspicious item being increased and run whether have problem;
If detect, the operation of described self-aided terminal has problem, then get rid of one by one according to priority order from high to low at least one suspicious item described or at least one non-suspicious item described.
Concrete, composite decline formula and incrementally investigating, certain subitem of positive de-authentication is the suspicious item most possibly causing problem, now then completes self-service terminal system detection process.
The embodiment of the present invention is by carrying out layering to self-service terminal system according to running environment, and the running environment after layering comprises application layer, system layer and hardware layer, every layer of resource of described self-service terminal system is classified according to business demand, sorted every class resource is divided into suspicious item and non-suspicious item according to described self-aided terminal Problems existing, get rid of according to the degression type pre-set and/or incrementally investigate and obtain described self-aided terminal Problems existing, described degression type is got rid of the eliminating order be used for according to pre-setting and is obtained described self-aided terminal Problems existing, the investigation order that described incrementally investigation is used for according to pre-setting investigates described self-aided terminal Problems existing, thus by self-service terminal system modelling, this model is decomposed, successively refinement, and formulate a set of analysis process, carry out degression type with reference to flow process get rid of and incrementally investigate, to be more convenient for like this systematicness, procedure analyzes self-service terminal system problem, improve precision of analysis.
Embodiment two
The high-level schematic functional block diagram that the embodiment of the present invention obtains the device of self-service terminal problem with reference to figure 2, Fig. 2.
In embodiment two, the device of the self-service terminal problem of described acquisition comprises:
Hierarchical block 201, for carrying out layering to self-service terminal system according to running environment, the running environment after layering comprises application layer, system layer and hardware layer;
Concrete, when similar deadlock, blue screen, blank screen phenomenon occur self-service terminal system, first by self-service terminal system integrally, then divide three layers according to running environment by self-service terminal system, i.e. application layer, system layer, hardware layer.
Sort module 202, for classifying according to business demand to every layer of resource of described self-service terminal system;
Preferably, with reference to figure 3, Fig. 3 be the high-level schematic functional block diagram of embodiment of the present invention sort module.
Described sort module 202, comprising:
First taxon 301, for being categorized as ATM service class system and non-ATM service class system by the resource of described application layer according to business demand;
Second taxon 302, for being categorized as atm module class and industrial computer module class by the resource of described hardware layer according to business demand;
3rd taxon 303, for the resource of described system layer is categorized as the main kernel file of system, group policy, system associated component, system mend according to business demand, serve, other configurations of the system paid close attention to and registration tablies of paying close attention to.
Concrete, further, the application layer divided with regard to self-service terminal system, system layer, hardware layer segment by business:
Application layer is divided into ATM operation system and third party's operation system by business, and ATM operation system is divided into the system such as ATMC, SP, middleware, monitoring, distribution, Third party system is divided into Anti-Virus, security control software, desktop management and control software, arranges other non-ATM class operation systems such as instrument;
Hardware layer is divided into ATM business module and industrial computer module, ATM business module mainly pays close attention to module and the associated drives thereof such as strip, flowing water, touch-screen, movement, card reader, and industrial computer module mainly pays close attention to equipment and the associated drives thereof such as mainboard, hard disk, internal memory, video card, CPU, sound card, network interface card;
System layer mainly pays close attention to group policy, service, registration table, Windows associated component, kernel-driven file etc.
Divide module 203, for sorted every class resource is divided into suspicious item and non-suspicious item according to problematic phenomenon;
Preferably, be that the embodiment of the present invention divides the high-level schematic functional block diagram of module with reference to figure 4, Fig. 4.
Described division module 203, comprising:
First division unit 401, for being suspicious item ATMC software, ATM middleware and SP software by sorted ATM service class system divides;
Second division unit 402, for by sorted ATM service class system divides being non-suspicious item ATM remote distribution software, ATM monitoring software, ATM log analysis tool and ATM testing tool;
3rd division unit 403, for being suspicious item Anti-Virus, security control software and desktop management and control software by sorted non-ATM service class system divides;
4th division unit 404, for being non-suspicious item encryption software, compressed software and ftp software by sorted non-ATM service class system divides;
5th division unit 405, for being divided into suspicious item movement and driving, card reader and driving thereof and flowing water printer and driving thereof by sorted atm module class;
6th division unit 406, for being divided into non-suspicious item strip printer and driving and touch-screen and driving thereof by sorted atm module class;
7th division unit 407, for being divided into suspicious item mainboard and driving, internal memory and driving, hard disk and driving, video card and driving thereof and CPU and driving thereof by sorted industrial computer module class;
8th division unit 408, for being divided into non-suspicious item network interface card and driving and sound card and driving thereof by sorted industrial computer module class;
9th division unit 409, for being divided into suspicious item IE assembly, activex control and Flash control by sorted system associated component;
Tenth division unit 410, for being divided into non-suspicious item system font component and system language pack assembly by sorted system associated component;
11 division unit 411, upgrades patch for sorted system mend being divided into suspicious item system component;
12 division unit 412, for being divided into non-suspicious item system security update patch by sorted system mend;
13 division unit 413, for being divided into suspicious item hyperthread and multi-core technology, Direct3D speed technology, USB power source aspect and power supply option by other configurations of the sorted system paid close attention to;
14 division unit 414, for the sorted registration table paid close attention to is divided into HKEY_LOCAL_MACHINE SYSTEM CurrentControlSet, HKEY_LOCAL_MACHINE SOFTWARE Microsoft WindowsNT and HKEY_CURRENT_USER ControlPanel.
Concrete, according to self-service terminal system problematic phenomenon, in preliminary judgement self-service terminal system every layer of resource, subclass resource may be relevant with problem, in summarizing every layer resource, which subitem is the suspicious item of suspicious Xiang Yufei, and just determine suspicious item by ranking score, from high to low (following standard all needs to remodify according to particular problem phenomenon to draft, and to crash, the phenomenon such as blue screen, blank screen considers):
Application layer: ATMC, the SP of ATM operation system, middleware tentatively judge to be classified as suspicious item from high in the end, and monitor, distribute and be classified as non-suspicious item temporarily; Third party system Anti-Virus, fail-safe software, desktop management and control software are tentatively judged to be classified as suspicious item from high to low, and other non-ATM class operation systems such as instrument be set be classified as non-suspicious item temporarily;
Hardware layer: in ATM business module, movement, card reader, flowing water module and associated drives thereof can tentatively judge to be classified as suspicious item from high to low, and the module such as strip, touch-screen and associated drives thereof are classified as non-suspicious item temporarily, and mainboard, hard disk, internal memory, video card module and associated drives thereof tentatively judge to be classified as suspicious item from high to low in industrial computer, and CPU, network interface card, sound card are classified as non-suspicious item temporarily;
System layer: the preliminary judgement such as kernel-driven file, group policy, service and registration table thereof is classified as suspicious item from high to low, and Windows associated component and registration table etc. thereof are classified as non-suspicious item temporarily.
Acquisition module 204, described self-aided terminal Problems existing is obtained for getting rid of according to the degression type pre-set and/or incrementally investigating, described degression type is got rid of the eliminating order be used for according to pre-setting and is got rid of described self-aided terminal Problems existing, and described incrementally investigation is used for the described self-aided terminal Problems existing of investigation according to pre-setting.
Preferably, with reference to figure 5, Fig. 5 be the high-level schematic functional block diagram of embodiment of the present invention acquisition module.
Described acquisition module 204, comprising:
First rejected unit 501, for getting rid of described self-aided terminal Problems existing one by one by the priority order from high to low of the suspicious item of every class resource of every layer or non-suspicious item; Or,
Second rejected unit 502, for getting rid of at least one suspicious item of every class resource or at least one non-suspicious item of every layer in entirety, if detect, the operation of described self-aided terminal has problem, then described in getting rid of current overall, at least one suspicious item or at least one non-suspicious item described are got rid of one by one according to priority order from high to low.
Concrete, in self-aided terminal problem system, get rid of one by one in every layer of resource from the suspicious item of height to low suspicious item, no longer go wrong as carried out automatic test on this basis, then exclusion process terminates, and can confirm which subitem is real suspicious item; Still go wrong as carried out automatic test on this basis, just continue to get rid of other non-suspicious items, successively peel off misarrangement, constantly reduce analyst coverage, till after certain subitem is rejected in confirmation, automatic test no longer goes wrong, now can confirm the suspicious item causing problem real, debug process completes (following process all needs to carry out replacing order investigation according to particular problem phenomenon, and to crash, the phenomenon such as blue screen, blank screen considers):
For application layer, first emphasis gets rid of the suspicious item of ATM operation system from high to low, then the non-suspicious item of ATM operation system is got rid of, get rid of the suspicious item of third party non-ATM operation system afterwards, finally get rid of the non-suspicious item of third party non-ATM operation system: I) from the suspicious item such as ATMC, SP, middleware of ATM operation system one by one, carry out automatic test no longer go wrong as removed wherein certain subitem, can illustrate that certain suspicious item is for causing the real suspicious item of problem, then get rid of end; As still gone wrong, continue the non-suspicious item such as monitoring, distribution confirming ATM operation system initial decision, carrying out automatic test no longer go wrong as removed wherein certain subitem, can illustrating that certain suspicious item is for causing the real suspicious item of problem, then get rid of end; II) as still gone wrong, continue the suspicious item such as Anti-Virus, fail-safe software, desktop management and control software of the non-ATM operation system of investigation third party, carry out automatic test no longer go wrong as removed wherein certain subitem, can illustrate that certain suspicious item is for causing the real suspicious item of problem, then get rid of end; As still gone wrong, that continues the non-ATM operation system of investigation third party arranges the non-suspicious items such as instrument, carry out automatic test no longer go wrong as removed wherein certain subitem, can illustrate that certain suspicious item is for causing the real suspicious item of problem, then get rid of end, as still gone wrong, then illustrating that this layer is got rid of substantially, the investigation of lower one deck can be carried out;
For hardware layer, first emphasis gets rid of the suspicious item of atm module from high to low, then the non-suspicious item of atm module is got rid of, get rid of the suspicious item of industrial computer module afterwards, the non-suspicious item of last industrial computer module: I) from the movement of atm module, card reader, the suspicious item such as flowing water module and associated drives thereof one by one, carrying out automatic test no longer go wrong as removed wherein certain subitem, can illustrating that certain suspicious item is for causing the real suspicious item of problem, then get rid of end; As still gone wrong, continue the non-suspicious item such as module and associated drives thereof such as strip, touch-screen confirming ATM operation system initial decision, carry out automatic test no longer go wrong as removed wherein certain subitem, can illustrate that certain suspicious item is for causing the real suspicious item of problem, then get rid of end; II) as still gone wrong, to continue in investigation third party industrial computer the suspicious items such as mainboard, hard disk, internal memory, video card module and associated drives thereof, carry out automatic test no longer go wrong as removed wherein certain subitem, can illustrate that certain suspicious item is for causing the real suspicious item of problem, then get rid of end; As still gone wrong, continue the non-suspicious items such as investigation CPU, network interface card, sound card, carry out automatic test no longer go wrong as removed wherein certain subitem, can illustrate that certain suspicious item is for causing the real suspicious item of problem, then get rid of end, as still gone wrong, then illustrating that this layer is got rid of substantially, the investigation of lower one deck can be carried out;
For system layer, first emphasis gets rid of the suspicious items such as kernel-driven file, group policy, service and registration table thereof from high to low, as no longer gone wrong, can illustrate that certain suspicious item is for causing the real suspicious item of problem, carry out refinement again and enter next circulation eliminating, until it is complete to minimize eliminating, confirms which minimum subitem is relevant with problem, now get rid of end; As still gone wrong, continuing non-suspicious item such as investigation Windows associated component and registration table etc. thereof, as no longer gone wrong, can illustrating that certain suspicious item is for causing the real suspicious item of problem, carry out refinement again and enter next circulation eliminating, until it is complete to minimize eliminating.
Preferably, with reference to figure 6, Fig. 6 be another high-level schematic functional block diagram of embodiment of the present invention acquisition module.Described acquisition module 204, comprising:
First detecting unit 601, for the basis normally run at current described self-aided terminal, increases rear continuation one by one and detects described self-aided terminal and run whether there is problem by the priority order from high to low of the suspicious item of every class resource of every layer or non-suspicious item;
Determining unit 602, if for detecting that the operation of described self-aided terminal has problem, then determine that the described suspicious item of increase or described non-suspicious item are described self-aided terminal Problems existing.
Concrete, in self-aided terminal starter system, according to self-aided terminal business, first drive from hardware layer to system layer, arriving application layer again, increase in every layer of resource one by one to low suspicious item from the suspicious item of height, going wrong as carried out automatic test on this basis, then additive process terminates, and can confirm which subitem is the suspicious item causing problem real; Still do not go wrong as carried out automatic test on this basis, just continue to add other non-suspicious items, successively superpose misarrangement, constantly reduce analyst coverage, till after certain subitem is added in confirmation, automatic test goes wrong, now can confirm the suspicious item causing problem real, debug process completes (following process all needs to carry out replacing order investigation according to particular problem phenomenon, and to crash, the phenomenon such as blue screen, blank screen considers):
For hardware layer, according to the environmental requirement of self-aided terminal final system, first emphasis adds the suspicious item of industrial computer module from high to low, then the non-suspicious item of industrial computer module is added, add the suspicious item of atm module afterwards, the non-suspicious item finally adding atm module is investigated item by item: I) the suspicious item such as mainboard, hard disk, internal memory, video card module and associated drives thereof from third party's industrial computer, carry out automatic test go wrong as added wherein certain subitem, can illustrate that certain suspicious item is for causing the real suspicious item of problem, then get rid of end; If do not gone wrong, continuing non-suspicious item such as investigation CPU, network interface card, sound card etc., carrying out automatic test go wrong as added wherein certain subitem, can illustrate that certain suspicious item is for causing the real suspicious item of problem, then get rid of end; II) if do not gone wrong, continue from the suspicious items such as the movement of atm module, card reader, flowing water module and associated drives thereof one by one, carry out automatic test go wrong as added wherein certain subitem, can illustrate that certain suspicious item is for causing the real suspicious item of problem, then get rid of end; If do not gone wrong, continue the non-suspicious item such as module and associated drives thereof such as strip, touch-screen confirming ATM operation system initial decision, carrying out automatic test go wrong as added wherein certain subitem, can illustrating that certain suspicious item is for causing the real suspicious item of problem, then get rid of end; If do not gone wrong, then illustrating that this layer is got rid of substantially, the investigation of lower one deck can be carried out;
For system layer, according to the environmental requirement of self-aided terminal final system, first emphasis adds the suspicious items such as its relevant kernel driving file, group policy, service and registration table thereof from high to low, as gone wrong, can illustrate that certain suspicious item is for causing the real suspicious item of problem, then carry out refinement and enter next circulation and get rid of, get rid of complete until add minimum subitem, confirm which minimum subitem is relevant with problem, now get rid of end; If do not gone wrong, continue to add the non-suspicious item such as Windows associated component and registration table thereof, as gone wrong, can illustrate that certain suspicious item is for causing the real suspicious item of problem, carrying out refinement again and enter next circulation eliminating, getting rid of complete, as still do not gone wrong until add minimum subitem, then illustrate that this layer is got rid of substantially, the investigation of lower one deck can be carried out;
For application layer, according to the environmental requirement of self-aided terminal final system, first emphasis adds the suspicious item of ATM operation system from high to low, then the non-suspicious item of ATM operation system is added, add the suspicious item of third party non-ATM operation system afterwards, the non-suspicious item finally adding third party non-ATM operation system is investigated item by item: I) from the suspicious item such as ATMC, SP, middleware of ATM operation system one by one, carry out automatic test go wrong as added wherein certain subitem, can illustrate that certain subitem is the real suspicious item causing problem, then get rid of end; If do not gone wrong, continuing the non-suspicious item such as monitoring, distribution of superposition ATM operation system initial decision, carrying out automatic test go wrong as added wherein certain subitem, can illustrate that certain subitem is the real suspicious item causing problem, then get rid of end; II) if do not gone wrong, continue the suspicious item such as Anti-Virus, fail-safe software, desktop management and control software adding the non-ATM operation system of third party, carry out automatic test go wrong as added wherein certain subitem, can illustrate that certain subitem is the real suspicious item causing problem, then get rid of end; If do not gone wrong, that continues to add third party non-ATM operation system arranges the non-suspicious items such as instrument, carrying out automatic test and goes wrong, can illustrating that certain suspicious item is for causing the real suspicious item of problem, then get rid of end as added wherein certain subitem.
Preferably, with reference to figure 7, Fig. 7 be another high-level schematic functional block diagram of embodiment of the present invention acquisition module.Described acquisition module 204, comprising:
Second detecting unit 701, for the basis normally run at current described self-aided terminal, continues to detect described self-aided terminal after at least one suspicious item of every class resource of every layer or at least one non-suspicious item being increased and runs whether there is problem;
3rd rejected unit 702, if for detecting that the operation of described self-aided terminal has problem, then get rid of one by one according to priority order from high to low at least one suspicious item described or at least one non-suspicious item described.
Concrete, composite decline formula and incrementally investigating, certain subitem of positive de-authentication is the suspicious item most possibly causing problem, now then completes self-service terminal system detection process.
The embodiment of the present invention is by carrying out layering to self-service terminal system according to running environment, and the running environment after layering comprises application layer, system layer and hardware layer, every layer of resource of described self-service terminal system is classified according to business demand, sorted every class resource is divided into suspicious item and non-suspicious item according to described self-aided terminal Problems existing, get rid of according to the degression type pre-set and/or incrementally investigate and obtain described self-aided terminal Problems existing, described degression type is got rid of the eliminating order be used for according to pre-setting and is obtained described self-aided terminal Problems existing, the investigation order that described incrementally investigation is used for according to pre-setting investigates described self-aided terminal Problems existing, thus by self-service terminal system modelling, this model is decomposed, successively refinement, and formulate a set of analysis process, carry out degression type with reference to flow process get rid of and incrementally investigate, to be more convenient for like this systematicness, procedure analyzes self-service terminal system problem, improve precision of analysis.
Below the know-why of the embodiment of the present invention is described in conjunction with specific embodiments.These describe the principle just in order to explain the embodiment of the present invention, and can not be interpreted as the restriction to embodiment of the present invention protection domain by any way.Based on explanation herein, those skilled in the art does not need to pay other embodiment that performing creative labour can associate the embodiment of the present invention, these modes all by fall into the embodiment of the present invention protection domain within.

Claims (12)

1. obtain a method for self-service terminal problem, it is characterized in that, described method comprises:
Carry out layering to self-service terminal system according to running environment, the running environment after layering comprises application layer, system layer and hardware layer;
Every layer of resource of described self-service terminal system is classified according to business demand;
Sorted every class resource is divided into suspicious item and non-suspicious item according to described self-aided terminal Problems existing;
Get rid of according to the degression type pre-set and/or incrementally investigate and obtain described self-aided terminal Problems existing, described degression type is got rid of the eliminating order be used for according to pre-setting and is obtained described self-aided terminal Problems existing, and the investigation order that described incrementally investigation is used for according to pre-setting investigates described self-aided terminal Problems existing.
2. method according to claim 1, is characterized in that, described every layer of resource to described self-service terminal system is classified according to business demand, comprising:
The resource of described application layer is categorized as ATM service class system and non-ATM service class system according to business demand;
The resource of described hardware layer is categorized as atm module class and industrial computer module class according to business demand;
The resource of described system layer is categorized as the main kernel file of system, group policy, system associated component, system mend according to business demand, serves, other configurations of the system paid close attention to and registration tablies of paying close attention to.
3. method according to claim 2, is characterized in that, described sorted every class resource is divided into suspicious item and non-suspicious item according to described self-aided terminal Problems existing, comprising:
Be suspicious item ATMC software, ATM middleware and SP software by sorted ATM service class system divides;
Be non-suspicious item ATM remote distribution software, ATM monitoring software, ATM log analysis tool and ATM testing tool by sorted ATM service class system divides;
Be suspicious item Anti-Virus, security control software and desktop management and control software by sorted non-ATM service class system divides;
Be non-suspicious item encryption software, compressed software and ftp software by sorted non-ATM service class system divides;
Described sorted every class resource is divided into suspicious item and non-suspicious item according to described self-aided terminal Problems existing, comprises:
Sorted atm module class is divided into suspicious item movement and driving, card reader and driving thereof and flowing water printer and driving thereof;
Sorted atm module class be divided into non-suspicious item strip printer and drive and touch-screen and driving thereof;
Sorted industrial computer module class is divided into suspicious item mainboard and driving, internal memory and driving, hard disk and driving, video card and driving thereof and CPU and driving thereof;
Sorted industrial computer module class be divided into non-suspicious item network interface card and drive and sound card and driving thereof;
Described sorted every class resource is divided into suspicious item and non-suspicious item according to described self-aided terminal Problems existing, comprises:
Sorted system associated component is divided into suspicious item IE assembly, activex control and Flash control;
Sorted system associated component is divided into non-suspicious item system font component and system language pack assembly;
Sorted system mend is divided into suspicious item system component and upgrades patch;
Sorted system mend is divided into non-suspicious item system security update patch;
Other configurations of the sorted system paid close attention to are divided into suspicious item hyperthread and multi-core technology, Direct3D speed technology, USB power source aspect and power supply option;
The sorted registration table paid close attention to is divided into HKEY_LOCAL_MACHINE SYSTEM CurrentControlSet, HKEY_LOCAL_MACHINE SOFTWARE Microsoft WindowsNT and HKEY_CURRENT_USER ControlPanel.
4. method according to claim 1, is characterized in that, the degression type that described basis pre-sets gets rid of the described self-aided terminal Problems existing of acquisition, comprising:
The priority order from high to low of the suspicious item of every class resource of every layer or non-suspicious item is got rid of described self-aided terminal Problems existing one by one; Or,
When entirety gets rid of at least one suspicious item or at least one non-suspicious item of every class resource of every layer, if detect, the operation of described self-aided terminal has problem, then described in getting rid of current overall, at least one suspicious item or at least one non-suspicious item described are got rid of one by one according to priority order from high to low.
5. method according to claim 1, is characterized in that, the incrementally investigation that described basis pre-sets obtains described self-aided terminal Problems existing, comprising:
On the basis that current described self-aided terminal normally runs, the priority order from high to low of the suspicious item of every class resource of every layer or non-suspicious item is increased one by one rear continuation and detect described self-aided terminal and run whether have problem;
If detect, the operation of described self-aided terminal has problem, then the described suspicious item increased or described non-suspicious item are described self-aided terminal Problems existing.
6. method according to claim 1, is characterized in that, the degression type that described basis pre-sets is got rid of and incrementally investigation obtains described self-aided terminal Problems existing, comprising:
On the basis that current described self-aided terminal normally runs, continue to detect described self-aided terminal after at least one suspicious item of every class resource of every layer or at least one non-suspicious item being increased and run whether have problem;
If detect, the operation of described self-aided terminal has problem, then get rid of one by one according to priority order from high to low at least one suspicious item described or at least one non-suspicious item described.
7. obtain a device for self-service terminal problem, it is characterized in that, described device comprises:
Hierarchical block, for carrying out layering to self-service terminal system according to running environment, the running environment after layering comprises application layer, system layer and hardware layer;
Sort module, for classifying according to business demand to every layer of resource of described self-service terminal system;
Divide module, for sorted every class resource is divided into suspicious item and non-suspicious item according to problematic phenomenon;
Acquisition module, described self-aided terminal Problems existing is obtained for getting rid of according to the degression type pre-set and/or incrementally investigating, described degression type is got rid of the eliminating order be used for according to pre-setting and is got rid of described self-aided terminal Problems existing, and described incrementally investigation is used for the described self-aided terminal Problems existing of investigation according to pre-setting.
8. device according to claim 7, is characterized in that, described sort module, comprising:
First taxon, for being categorized as ATM service class system and non-ATM service class system by the resource of described application layer according to business demand;
Second taxon, for being categorized as atm module class and industrial computer module class by the resource of described hardware layer according to business demand;
3rd taxon, for the resource of described system layer is categorized as the main kernel file of system, group policy, system associated component, system mend according to business demand, serve, other configurations of the system paid close attention to and registration tablies of paying close attention to.
9. device according to claim 7, is characterized in that, described division module, comprising:
First division unit, for being suspicious item ATMC software, ATM middleware and SP software by sorted ATM service class system divides;
Second division unit, for by sorted ATM service class system divides being non-suspicious item ATM remote distribution software, ATM monitoring software, ATM log analysis tool and ATM testing tool;
3rd division unit, for being suspicious item Anti-Virus, security control software and desktop management and control software by sorted non-ATM service class system divides;
4th division unit, for being non-suspicious item encryption software, compressed software and ftp software by sorted non-ATM service class system divides;
5th division unit, for being divided into suspicious item movement and driving, card reader and driving thereof and flowing water printer and driving thereof by sorted atm module class;
6th division unit, for being divided into non-suspicious item strip printer and driving and touch-screen and driving thereof by sorted atm module class;
7th division unit, for being divided into suspicious item mainboard and driving, internal memory and driving, hard disk and driving, video card and driving thereof and CPU and driving thereof by sorted industrial computer module class;
8th division unit, for being divided into non-suspicious item network interface card and driving and sound card and driving thereof by sorted industrial computer module class;
9th division unit, for being divided into suspicious item IE assembly, activex control and Flash control by sorted system associated component;
Tenth division unit, for being divided into non-suspicious item system font component and system language pack assembly by sorted system associated component;
11 division unit, upgrades patch for sorted system mend being divided into suspicious item system component;
12 division unit, for being divided into non-suspicious item system security update patch by sorted system mend;
13 division unit, for being divided into suspicious item hyperthread and multi-core technology, Direct3D speed technology, USB power source aspect and power supply option by other configurations of the sorted system paid close attention to;
14 division unit, for the sorted registration table paid close attention to is divided into HKEY_LOCAL_MACHINE SYSTEM CurrentControlSet, HKEY_LOCAL_MACHINE SOFTWARE Microsoft WindowsNT and HKEY_CURRENT_USER ControlPanel.
10. device according to claim 7, is characterized in that, described acquisition module, comprising:
First rejected unit, for getting rid of described self-aided terminal Problems existing one by one by the priority order from high to low of the suspicious item of every class resource of every layer or non-suspicious item; Or,
Second rejected unit, for getting rid of at least one suspicious item of every class resource or at least one non-suspicious item of every layer in entirety, if detect, the operation of described self-aided terminal has problem, then described in getting rid of current overall, at least one suspicious item or at least one non-suspicious item described are got rid of one by one according to priority order from high to low.
11. devices according to claim 7, is characterized in that, described acquisition module, comprising:
First detecting unit, for the basis normally run at current described self-aided terminal, increases rear continuation one by one and detects described self-aided terminal and run whether there is problem by the priority order from high to low of the suspicious item of every class resource of every layer or non-suspicious item;
Determining unit, if for detecting that the operation of described self-aided terminal has problem, then determine that the described suspicious item of increase or described non-suspicious item are described self-aided terminal Problems existing.
12. devices according to claim 7, is characterized in that, described acquisition module, comprising:
Second detecting unit, for the basis normally run at current described self-aided terminal, continues to detect described self-aided terminal after at least one suspicious item of every class resource of every layer or at least one non-suspicious item being increased and runs whether there is problem;
3rd rejected unit, if for detecting that the operation of described self-aided terminal has problem, then get rid of one by one according to priority order from high to low at least one suspicious item described or at least one non-suspicious item described.
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101056216A (en) * 2006-04-10 2007-10-17 华为技术有限公司 A test system and test method
US20100162030A1 (en) * 2008-12-23 2010-06-24 Ncr Corporation Method and apparatus for initiating corrective action for an electronic terminal
CN101833621A (en) * 2010-04-27 2010-09-15 广州广电运通金融电子股份有限公司 Terminal safety audit method and system
US8317087B1 (en) * 2007-03-27 2012-11-27 Diebold Self-Service Systems Automated banking system controlled responsive to data bearing records
CN104216825A (en) * 2013-06-04 2014-12-17 北京神州泰岳软件股份有限公司 Problem locating method and system
CN104796270A (en) * 2014-01-16 2015-07-22 国际商业机器公司 Method and device for recommending suspicious components during problem diagnosis of cloud application

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101056216A (en) * 2006-04-10 2007-10-17 华为技术有限公司 A test system and test method
US8317087B1 (en) * 2007-03-27 2012-11-27 Diebold Self-Service Systems Automated banking system controlled responsive to data bearing records
US20100162030A1 (en) * 2008-12-23 2010-06-24 Ncr Corporation Method and apparatus for initiating corrective action for an electronic terminal
CN101833621A (en) * 2010-04-27 2010-09-15 广州广电运通金融电子股份有限公司 Terminal safety audit method and system
CN104216825A (en) * 2013-06-04 2014-12-17 北京神州泰岳软件股份有限公司 Problem locating method and system
CN104796270A (en) * 2014-01-16 2015-07-22 国际商业机器公司 Method and device for recommending suspicious components during problem diagnosis of cloud application

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