CN107194168A - A kind of equipment quality control method and device - Google Patents
A kind of equipment quality control method and device Download PDFInfo
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- CN107194168A CN107194168A CN201710349120.6A CN201710349120A CN107194168A CN 107194168 A CN107194168 A CN 107194168A CN 201710349120 A CN201710349120 A CN 201710349120A CN 107194168 A CN107194168 A CN 107194168A
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Abstract
This application discloses a kind of equipment quality control method and device, this method includes：Request in response to starting Quality Control scanning, Quality Control scanning is carried out according to preset Quality Control flow at least one Quality Control project of target device；The scanning result of the Quality Control scanning is analyzed, is judged at least one described Quality Control project with the presence or absence of abnormal Quality Control project；If there is the abnormal Quality Control project, the recovery scenario of the abnormal Quality Control project is obtained, and abnormal reparation is carried out to the abnormal Quality Control project using the recovery scenario.The application is by the abnormal Quality Control project of automatic detection and excludes Quality Control exception automatically, saves human cost, and rapidly and accurately eliminates Quality Control exception, so as to improve Quality Control operating efficiency, and then ensure that the normal of target device is used.
Description
Technical field
The application is related to medical imaging technical field, more particularly to a kind of equipment quality control method and device.
Background technology
Equipment user such as hospital, is using medical imaging equipment such as positron e mission computed tomography
(Positron Emission Computed Tomography, abbreviation PET), CT scan (Computed
Tomography, abbreviation CT) or magnetic resonance imaging (Magnetic Resonance Imaging, abbreviation MRI) to sweep object
It is scanned before imaging, to ensure the imaging effect of medical imaging equipment, operating personnel's such as hospital's skill of equipment user
Teacher, meeting carries out quality control (Quality Control, abbreviation to medical imaging equipment daily according to the requirement of equipment supplier
Quality Control) operation.Specifically, the operating personnel of equipment user are daily earlier than normal workday to placement medical imaging equipment
Equipment room, Quality Control scanning is carried out to medical imaging equipment, when finding that scanning result has abnormal, meeting advisory facility provider
Attendant, carries out abnormal reparation by attendant to scene or carries out abnormal reparation etc. according to the guidance of attendant, so that
Medical imaging equipment is set normally to run.
Although the operating personnel of equipment user can reach equipment room ahead of time and carry out Quality Control scanning to medical imaging equipment,
When the scanning result noted abnormalities, after the attendant of operating personnel's advisory facility provider, may still it not know how
Repair exception or because exception can not be repaired without operating right, attendant's progress scene of only waiting facilities provider is repaiied
It is multiple, in addition, operating personnel can cause scanning result error in judgement the abnormal leakage reparation of Quality Control, and then cause subsequently to use the doctor
When treatment image documentation equipment is imaged, imaging effect is inaccurate.It can be seen that, existing Quality Control mode of operation not only needs to spend necessarily
Manpower carries out live Quality Control, can't rapidly and accurately exclude Quality Control exception, cause Quality Control inefficient operation, have impact on medical treatment
The normal of image documentation equipment is used.
The content of the invention
In view of this, the main purpose of the embodiment of the present application is to provide a kind of equipment quality control method and device, Neng Gouti
The efficiency of high Quality Control operation.
To achieve the above object, the embodiment of the present application provides a kind of equipment quality control method, and this method includes
Request in response to starting Quality Control scanning, according at least one the Quality Control project of preset Quality Control flow to target device
Carry out Quality Control scanning；
The scanning result of the Quality Control scanning is analyzed, is judged at least one described Quality Control project with the presence or absence of abnormal Quality Control
Project；
If there is the abnormal Quality Control project, the recovery scenario of the abnormal Quality Control project is obtained, and repaiied described in
Compound case carries out abnormal reparation to the abnormal Quality Control project.
Optionally, the scanning result of analysis Quality Control scanning, judge at least one described Quality Control project whether
In the presence of abnormal Quality Control project, including：
The Quality Control figure of the generation reflection scanning result；
The Quality Control figure is analyzed, is judged at least one described Quality Control project with the presence or absence of abnormal Quality Control project.
Optionally, the recovery scenario for obtaining the abnormal Quality Control project, including：
If the recovery scenario for the abnormal Quality Control project that is stored with local data base, is obtained from the local data base
Take the recovery scenario；
If the recovery scenario for the abnormal Quality Control project that is not stored with local data base, from the cloud data of Cloud Server
The recovery scenario is obtained in storehouse.
Optionally, methods described also includes：
If not being stored with the recovery scenario in the cloud database, by the abnormal information of the abnormal Quality Control project
Reach the Cloud Server.
Optionally, methods described also includes：
If the recovery scenario is not stored with the cloud database, to targeted customer terminal device send described in repair
The acquisition failure notification of compound case.
Optionally, it is described carry out abnormal reparation to the abnormal Quality Control project using the recovery scenario after, in addition to：
After reparation terminates extremely, Quality Control scanning is re-started to the abnormal Quality Control project after reparation, to check
State whether abnormal repair succeeds；
If repairing failure, the abnormal information of the abnormal Quality Control project before repairing and/or after reparation is uploaded to cloud
Server.
Optionally, methods described also includes：
If repairing failure, send repairing failure to the terminal device of targeted customer and notify.
Optionally, before the request in response to starting Quality Control scanning, in addition to：
Detect the default startup time of the Quality Control scanning；
If reaching the default startup time and the target device being in off-mode, start the target device,
And after the target device normally starts, trigger the request for starting Quality Control scanning；
If reaching the default startup time and the target device being in open state, trigger the startup Quality Control and sweep
The request retouched.
The embodiment of the present application additionally provides a kind of equipment Quality Control device, including：
First Quality Control scanning element, for the request in response to starting Quality Control scanning, according to preset Quality Control flow to target
At least one Quality Control project of equipment carries out Quality Control scanning；
Anomaly item determining unit, the scanning result for analyzing the Quality Control scanning, judges at least one described Quality Control
With the presence or absence of abnormal Quality Control project in project；
Recovery scenario acquiring unit, if for there is the abnormal Quality Control project, obtaining the abnormal Quality Control project
Recovery scenario；
Project repairs unit extremely, for carrying out abnormal reparation to the abnormal Quality Control project using the recovery scenario.
Optionally, the anomaly item determining unit includes：
Quality Control figure generates subelement, the Quality Control figure for generating the reflection scanning result；
Quality Control map analysis subelement, for analyzing the Quality Control figure, judges whether deposited at least one described Quality Control project
In abnormal Quality Control project.
Optionally, the recovery scenario acquiring unit includes：
Local judgment sub-unit, if for there is the abnormal Quality Control project, judging whether stored in local data base
There is the recovery scenario of the abnormal Quality Control project；
Scheme obtains subelement, if the recovery scenario for the abnormal Quality Control project that is stored with local data base,
The recovery scenario is obtained from the local data base；If the abnormal Quality Control project that is not stored with local data base is repaiied
Compound case, then obtain the recovery scenario from the cloud database of Cloud Server.
Optionally, described device also includes：
First information uploading unit, if for the recovery scenario that is not stored with the cloud database, will be described different
The abnormal information of normal Quality Control project is uploaded to the Cloud Server.
Optionally, described device also includes：
First notifies transmitting element, if for the recovery scenario that is not stored with the cloud database, being used to target
The terminal device at family sends the acquisition failure notification of the recovery scenario.
Optionally, described device also includes：
Second Quality Control scanning element, after reparation unit exception reparation terminates extremely in the project, after reparation
The abnormal Quality Control project re-starts Quality Control scanning, to check whether abnormal repair succeeds；
Second information uploading unit, if for repairing failure, the abnormal Quality Control before repairing and/or after reparation
Purpose abnormal information is uploaded to Cloud Server.
Optionally, described device also includes：
Second notifies transmitting element, if for repairing failure, sending repairing failure to the terminal device of targeted customer and leading to
Know.
Optionally, described device also includes：
Start time detecting unit, the default startup time for detecting the Quality Control scanning；
First request trigger element, if being in shutdown shape for reaching the default startup time and the target device
State, then start the target device, and after the target device normally starts, triggers the request for starting Quality Control scanning；
Second request trigger element, if being in start shape for reaching the default startup time and the target device
State, then trigger the request of the startup Quality Control scanning.
The embodiment of the present application additionally provides a kind of equipment Quality Control device, including：Processor, memory, system bus；
The processor and the memory are connected by the system bus；
The memory is used to store one or more programs, and one or more of programs include instruction, the instruction
Make the computing device above method step when by the computing device.
A kind of equipment quality control method and device that the application is provided, after the enabling signal of Quality Control scanning is detected, according to
Preset Quality Control flow carries out Quality Control scanning at least one Quality Control project of target device；Analyze the scanning knot of the Quality Control scanning
Really, judge at least one described Quality Control project with the presence or absence of abnormal Quality Control project；If there is the abnormal Quality Control project, obtain
The recovery scenario of the abnormal Quality Control project is taken, and abnormal repair is carried out to the abnormal Quality Control project using the recovery scenario
It is multiple.It can be seen that, automatic detection exception Quality Control project simultaneously excludes Quality Control exception automatically, saves human cost, and rapidly and accurately arrange
Except Quality Control is abnormal, so as to improve Quality Control operating efficiency, and then it ensure that the normal of target device is used.
Brief description of the drawings
, below will be to embodiment or existing in order to illustrate more clearly of the embodiment of the present application or technical scheme of the prior art
There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are the application
Some embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis
These accompanying drawings obtain other accompanying drawings.
The schematic flow sheet that a kind of intelligence reservation Quality Control and intelligence that Fig. 1 provides for the embodiment of the present application are repaired；
A kind of schematic flow sheet for equipment quality control method that Fig. 2 provides for the embodiment of the present application；
Fig. 3 illustrates for a kind of PET scan string that the embodiment of the present application is provided to be intended to；
A kind of composition schematic diagram for equipment Quality Control device that Fig. 4 provides for the embodiment of the present application；
A kind of hardware architecture diagram for equipment Quality Control device that Fig. 5 provides for the embodiment of the present application.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present application clearer, below in conjunction with the embodiment of the present application
In accompanying drawing, the technical scheme in the embodiment of the present application is clearly and completely described, it is clear that described embodiment is
Some embodiments of the present application, rather than whole embodiments.Based on the embodiment in the application, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of the application protection.
Quality control (Quality Control, abbreviation Quality Control) is caused and not conformed to eliminate all stages on quality loop
The factor of lattice or dissatisfied effect, to wish to reach the operation technique and activity that quality requirement is taken.In traditional equipment matter
During control, equipment supplier often requires that equipment makes to ensure that provided equipment can reach expected service behaviour
Quality Control scanning is carried out to equipment earlier than normal workday with the operating personnel of side.The Quality Control scanning noted abnormalities as operating personnel
As a result, may be due to not knowing how operation or because without operating right by the attendant of advisory facility provider after
Exception can not be repaired, it could even be possible to causing the abnormal leakage reparation of Quality Control to Quality Control scanning result error in judgement.It can be seen that, tradition
In Quality Control mode, even if taking certain manpower carries out live Quality Control, Quality Control exception also can not be rapidly and accurately excluded, so that
The normal of influence equipment is used.
So, the embodiment of the present application provides a kind of equipment quality control method and device, abnormal simultaneously by automatic detection Quality Control
It is automatic to exclude Quality Control exception, human cost is not only saved, Quality Control can also be rapidly and accurately excluded abnormal.
For ease of description, the embodiment of the present application will need the equipment referred to as target device of progress Quality Control operation.
The present embodiment is not limited the type of target device, for example, when equipment user is hospital, target device
Can be positron e mission computed tomography (Positron Emission Computed Tomography, abbreviation
) or CT scan (Computed Tomography, abbreviation CT) or magnetic resonance imaging (Magnetic PET
Resonance Imaging, abbreviation MRI) etc.；When equipment user is enginerring works, target device can be numeral control
Lathe (Computer Numerical Control Machine Tools) processed, CNC milling machine (Machining Center)
Deng.
The schematic flow sheet repaired with reference to the intelligence reservation Quality Control shown in Fig. 1 and intelligence, using target device as medical treatment
Illustrate the application embodiment of the method exemplified by equipment.
A kind of schematic flow sheet for equipment quality control method that Fig. 2 provides for the embodiment of the present application, this method includes：
S201：Request in response to starting Quality Control scanning, according at least one matter of preset Quality Control flow to target device
Control project carries out Quality Control scanning.
In the present embodiment, the Quality Control scanning to target device can be started using mode is manually started.Specifically, when
, it is necessary to which first control targe device power-up, after open state, can just start Quality Control and sweep when target device is in off-mode
Retouch；When equipment is in open state, then Quality Control scanning can be directly initiated.Wherein, the mode of Quality Control scanning is manually started, can
To be that operating personnel are controlled by pressing corresponding start button or operating personnel in target device by remote control
The modes such as target device startup.
Require that operating personnel must reach target device site due to manually starting mode, just can be by manually grasping
Make to carry out Quality Control scanning to start target device, so, when operating personnel can not reach equipment place in time, it will delay matter
What control was scanned is normally carried out.
So, in order to ensure being normally carried out for Quality Control scanning, the present embodiment can also be started using intelligent starting mode
To the Quality Control of target device scanning, i.e., the step 103 in the intelligent control stage shown in Fig. 1 specifically, can be with before S201
Including：The default startup time of Quality Control scanning is detected, this presets startup time and target device is in off-mode if reaching,
Start the target device, and after the target device normally starts, triggering starts the request of Quality Control scanning；If reaching default start
The request of time and the target device in open state, then triggering startup Quality Control scanning.
In this intelligent starting mode, timing start-up module can be set in target device, and so, operating personnel can
To pre-set the default startup time by timing start-up module, i.e., step 101 in the reservation Quality Control stage shown in Fig. 1 and
Step 102, if target device is in off-mode, after the default startup time is reached, timing start-up module can be automatic
Control targe device power-up, and after target device enters open state, automatic start Quality Control scanning；If target device is in
Open state, after the default startup time is reached, timing start-up module directly initiates Quality Control scanning.It can be seen that, by target
One default startup time was set in the timing start-up module of equipment, target device can be made when reaching the default startup time, from
Dynamic start and automatic start Quality Control scanning, does sth. in advance to reach equipment room to target device progress Quality Control scanning without operating personnel,
So that starting Quality Control scanning more automation, intellectuality.
For ease of understanding, in the case that illustration the present embodiment is provided with timing start-up module in a device, how to open
Kinoplaszm control is scanned：Assuming that equipment user be hospital, Quality Control scanning operating personnel be technician, need carry out Quality Control scanning mesh
Marking device is PET device, wherein, timing start-up module is provided with PET device.Technician is in order to ensure PET device imaging effect
Expected requirement is attained by daily, is not influenceed the normal of PET device to use, can be set by the timing start-up module in PET device
It is certain moment before normal workday to install the standby default startup time.After the default startup time is reached daily, timing
Starting module can first detect whether PET device is in open state, if PET device is in open state, triggering starts Quality Control
The request of scanning, so that PET device starts Quality Control scanning；If PET device is in off-mode, first start PET device, until
PET device is in open state, and triggering starts the request of Quality Control scanning, so that PET device starts Quality Control scanning.
It should be noted that in addition to using above-mentioned several possible Quality Control sweep start modes, it can also be used
His Quality Control sweep start mode, is no longer repeated one by one here.
In the present embodiment, default Quality Control project and Quality Control order carry out Quality Control when can be dispatched from the factory based on target device
Scanning, the Quality Control project that can also be voluntarily selected based on equipment user and Quality Control order carry out Quality Control scanning, wherein, Quality Control
Order is the preset Quality Control flow in S201, and preset Quality Control flow can be set according to importance of Quality Control project etc.
Put, preset Quality Control flow is not defined here.
For example, when target device is PET device, the Quality Control project of PET device can include Gain tuning project, coding
Table adjusted iterm, energy scale adjusted iterm etc..Wherein, Quality Control scanning is carried out to Gain tuning project to refer to, detection PET device
Whether the yield value of each photomultiplier (Photomultiplier Tube, abbreviation PMT) is to specify yield value, if so, then
The PMT gains are normal, if it is not, then the PMT gains are abnormal；Carry out Quality Control scanning to coding schedule adjusted iterm to refer to, detection PET is set
Whether the group/cording quantity of each crystal unit is consistent with actual coding quantity in standby, if so, then crystal coding is normal, if it is not, then
Crystal coding is abnormal；Quality Control scanning is carried out to energy scale adjusted iterm to refer to, the energy that each PMT is exported in detection PET device
Whether amount scope is consistent with preset range, if so, then the output of PMT energy is normal, if it is not, then PMT energy output abnormality.
S202：The scanning result of the Quality Control scanning is analyzed, is judged at least one described Quality Control project with the presence or absence of different
Normal Quality Control project.
If there is abnormal Quality Control project in target device, normal operation and the service behaviour of target device can be influenceed,
So, in order to check in Quality Control project with the presence or absence of abnormal Quality Control project, it is necessary to which the Quality Control project to target device carries out Quality Control
Scanning, obtains the corresponding scanning result of each Quality Control project, determines which is abnormal Quality Control project by analyzing the scanning result,
The step 104 in the intelligent Quality Control stage i.e. shown in Fig. 1.
For the ease of determining whether it is abnormal Quality Control project by the corresponding scanning result of Quality Control project, it can export straight
The Quality Control scanning result of sight, for example, Quality Control scanning result can be exported in table form, can also be defeated in the form of images
Go out, the output form to scanning result is no longer repeated one by one here.
In a kind of embodiment of the application, S202 can include：The Quality Control figure of generation reflection scanning result, Yi Jifen
The Quality Control figure is analysed, is judged at least one Quality Control project with the presence or absence of abnormal Quality Control project.For ease of understanding present embodiment, under
Face is illustrated：
Assuming that target device is PET device, the number of rings of pet detector is 33, and each detector rings are by 24 modules
(Module) constitute, each module includes 6 blocks (block), each block includes 4 photomultiplier (Photomultiplier
Tube, abbreviation PMT).When a Quality Control project of PET device is Gain tuning project, it is necessary to enter to a specific sweep object
Row scanning, string figure is scanned when that can be produced after the Quality Control end of scan；It is abnormal with the presence or absence of gain in 33 detector rings in order to determine
PMT, it is necessary to read first 33 layers of string figure view data, PET scan string more corresponding than a wherein detector rings as shown in Figure 3
Diagram is intended to, and judges to whether there is the obvious filaments of sun and/or bright wisp in string figure view data, if the bright wisp or dark of whole piece
Bar, then it is abnormal Quality Control project to illustrate the Gain tuning project.It can be seen that, by generating Quality Control figure than scanning string figure as described above, with
And analyze the Quality Control figure, serve can it is more directly perceived, visually understand scanning result, and be more prone to, quickly determine
Go out the effect of abnormal Quality Control project, it is to avoid the error that operating personnel carry out artificial judgment to scanning result and caused, and then lead
Cause the problem of follow-up imaging effect is inaccurate.
S203：If there is the abnormal Quality Control project, the recovery scenario of the abnormal Quality Control project is obtained, and utilizes institute
State recovery scenario and abnormal reparation is carried out to the abnormal Quality Control project.
In traditional Quality Control mode, there is abnormal Quality Control project even if determining in Quality Control project, and just abnormal Quality Control
Mesh has been seeked advice from after the attendant of equipment supplier, does not still know how to repair exception or because without operating right leading to not
Repair abnormal, be merely able to wait attendant to carry out field repair, so that cause quickly and accurately exclude Quality Control exception,
The problem of causing Quality Control inefficiency.
Therefore, in the embodiment of the present application, due to having determined that in the presence of abnormal Quality Control project, that is, scanning result being determined and deposits
It is abnormal in Quality Control, according to the abnormal Quality Control project having determined, it can be inquired about from database and obtain that can to repair this different
The recovery scenario of normal Quality Control project.The recovery scenario being previously mentioned in the embodiment of the present application can be the attendant of equipment supplier
Experience is repaired according to history, the recovery scenario formulated for the abnormal Quality Control project that target device may or once occur, when
The operating personnel or third-party technical staff of right or equipment user repair experience also according to history and formulated
Recovery scenario, do not do any restriction to this herein.
For the recovery scenario of the abnormal Quality Control project that can in real time, easily obtain target device, a kind of optional
In implementation, the database for storing recovery scenario can be local data base, and specifically, local data base can be arranged on mesh
, can be directly from the sheet in target device in order to after determining in target device and there is abnormal Quality Control project in marking device
The recovery scenario of the abnormal Quality Control project is obtained in ground database, and it is different to abnormal Quality Control project progress using the recovery scenario
Often repair, i.e., the step 105 in intelligent repairing phase shown in Fig. 1.
Certainly, while recovery scenario in order in real time, easily obtain abnormal Quality Control project, target device is saved
Memory space, and can be with the shared abnormal Quality Control project of other equipment recovery scenario, in a kind of optional implementation
In, the database for storing recovery scenario can also be cloud database, and specifically, cloud database can be arranged in Cloud Server,
To wish when target device needs to obtain the recovery scenario of abnormal Quality Control project, and the exception is not stored in local data base
In the case of the recovery scenario of Quality Control project, the Cloud Server of equipment supplier can be connected, and from the cloud data of Cloud Server
The recovery scenario of the abnormal Quality Control project is obtained in storehouse, and abnormal repair is carried out to the abnormal Quality Control project using the recovery scenario
It is multiple, i.e., the step 106 in intelligent repairing phase shown in Fig. 1.
Based on the optional database implementation of above two, in a kind of embodiment of the application, " obtained in S203
The step of recovery scenario of the abnormal Quality Control project ", can include：If being stored with abnormal Quality Control project in local data base
Recovery scenario, then obtain the recovery scenario from the local data base；If abnormal Quality Control project is not stored with local data base
Recovery scenario, then the recovery scenario is obtained from the cloud database of Cloud Server.In the present embodiment, by by abnormal matter
The recovery scenario of control project is stored in the cloud database of local data base and/or Cloud Server, can play determination exist it is different
After normal Quality Control project, the reparation of the abnormal Quality Control project in real time, effectively, is quickly obtained from local data base or cloud database
Scheme, and abnormal reparation is carried out to the abnormal Quality Control project using the recovery scenario, so as to reach that being automatically performed intelligence repaiies
Multiple effect.
For ease of understanding above-mentioned embodiment, i.e., for the recovery scenario for how obtaining abnormal Quality Control project, and utilization should
Recovery scenario carries out abnormal reparation to the abnormal Quality Control project, is equally illustrated herein so that target device is PET device as an example
Explanation：
Continue the example of Gain tuning project in S202, calculate the corresponding abnormal PMT of light/dark bar in scanning string figure, lead to
Cross the actual gain value for analyzing the abnormal PMT and expected yield value determines recovery scenario.For example, it is assumed that the corresponding meters of certain PMT
Number scopes should be to be less than 100 and the corresponding yield value of the count range should be 0.6 more than 10, and in Quality Control scanning process
In, because the count value actual PMT is less than 10, cause the reduction of its yield value to be such as down to 0.3, it is seen then that due to the reality of the PMT
Border yield value is 0.3 and unexpected yield value 0.6, so as to cause PMT yield values abnormal；Because the exception of Gain tuning project is former
Therefore one is that certain PMT yield value is too small in pet detector, then inquires about the abnormal Gain tuning that whether is stored with local data base
Purpose recovery scenario, if so, then directly obtaining the recovery scenario from local data base, if not having, connects equipment supplier
Cloud Server, the recovery scenario is obtained from the cloud database of Cloud Server, by the recovery scenario, the abnormal PMT is increased
Beneficial value is adjusted to be expected the corresponding yield value of count range, such as, and the actual gain value of the PMT is 0.3, and the expection of the PMT
Yield value is 0.6, accordingly, it would be desirable to which the PMT yield values are adjusted into 0.6 by 0.3, have so just repaired and has been deposited in Gain tuning project
Abnormal PMT.
It can be seen that, can be after the enabling signal of Quality Control scanning be detected, according to preset Quality Control flow in the embodiment of the present application
At least one Quality Control project to target device carries out Quality Control scanning；Analysis quality control scanning result, determines at least one Quality Control
With the presence or absence of abnormal Quality Control project in mesh；If there is abnormal Quality Control project, the recovery scenario of the abnormal Quality Control project is obtained, and
Abnormal reparation is carried out to the abnormal Quality Control project using the recovery scenario.It can be seen that, automatic detection exception Quality Control project is simultaneously arranged automatically
Except Quality Control is abnormal, human cost is saved, and it is abnormal rapidly and accurately to eliminate Quality Control, so that Quality Control operating efficiency is improved,
And then ensure that the normal of target device is used.
Further, if it is determined that abnormal Quality Control project be that the Quality Control that never occurred of target device is abnormal, and equipment
Provider, equipment user and third-party technical staff do not formulate corresponding before the abnormal Quality Control project occurs
Recovery scenario, or when not yet making corresponding recovery scenario for the abnormal Quality Control project, target device is from local
The recovery scenario less than the abnormal Quality Control project will be obtained in database or cloud database.In this case, target device without
Method is automatic to carry out abnormal reparation to abnormal Quality Control project, is used so as to have impact on the normal of target device.So, the application's
, can be by abnormal Quality Control if the recovery scenario for the abnormal Quality Control project that is not stored with cloud database in a kind of embodiment
Purpose abnormal information is uploaded to Cloud Server, i.e., step 107 " upload result " part in the intelligent repairing phase shown in Fig. 1.
In this embodiment, equipment supplier can obtain the abnormal information of abnormal Quality Control project from Cloud Server, it is possible to
Abnormal cause present in abnormal Quality Control project is comprehensively analyzed according to the abnormal information, and formulates corresponding for the abnormal cause
Recovery scenario, to update the recovery scenario stored in cloud database or local data base.Wherein, the abnormal information can include
Exception object, anomaly of exception object etc., such as, exception object can be the marks of exception PMT in Gain tuning project
Information, the anomaly of exception object can be that yield value diminishes or become big etc..
Further, after it is determined that there is abnormal Quality Control project in the Quality Control project of target device, if obtained less than different
The recovery scenario of normal Quality Control project, leads to not automated intelligent and abnormal reparation is carried out to abnormal Quality Control project, can be used to target
The terminal device at family sends the acquisition failure notification of the recovery scenario, to notify reparation situation, i.e. Fig. 1 to equipment user in time
Step 107 " notifying staff " part in shown intelligent repairing phase.Wherein, targeted customer can be equipment user
It is responsible for the operating personnel of Quality Control scanning and/or the attendant of equipment supplier；The terminal device of targeted customer can be calculated
Machine or portable equipment, such as mobile phone, tablet personal computer；The mode for obtaining failure notification can be voice message, can also
It is text prompt, can also be picture cues, advice method is not defined here.
It can be seen that, in the case of the recovery scenario that is not stored with cloud database, the exception of abnormal Quality Control project can be believed
Breath is uploaded to Cloud Server, and sends the acquisition failure notification of recovery scenario to the terminal device of targeted customer, to wish to work as
Target device obtains the recovery scenario less than abnormal Quality Control project, leads to not automatic to the abnormal reparation of abnormal Quality Control project progress
When, equipment supplier can be facilitated to formulate recovery scenario according to abnormal information, and notify related personnel manually to be repaiied in time
It is multiple.
Further, in order to ensure successfully eliminating, Quality Control is abnormal, to ensure that the normal of target device is used, in this Shen
In a kind of embodiment please, S203, can also be right after abnormal reparation is carried out to abnormal Quality Control project using recovery scenario
Abnormal Quality Control project after reparation re-starts Quality Control scanning, to check whether abnormal repair succeeds, if repairing failure,
The abnormal information of abnormal Quality Control project before repairing and/or after reparation is uploaded to Cloud Server, to wish equipment supplier's energy
It is enough that the abnormal information is obtained from Cloud Server, and according to the reason for abnormal information discovery repairing failure, to allow to pin
The reason for repairing failure, reformulates corresponding recovery scenario, to update the reparation stored in cloud database or local data base
Scheme.
It should be noted that the abnormal Quality Control project after reparation is re-started Quality Control scanning process with it is mentioned above
Quality Control scanning process is similar, is no longer repeated herein.
Specifically, if abnormal Quality Control project is not present in re-starting the scanning result that Quality Control is scanned, it is considered that
Abnormal repair to abnormal Quality Control project is successful.Also exist equally if re-started in the scanning result of Quality Control scanning
Abnormal Quality Control project, then it is considered that abnormal repair to abnormal Quality Control project is failure.Adjusted for example, continuing gain in S203
The example of whole project, is being repaired present in the Gain tuning project of PET device after exception PMT, again to Gain tuning
Mesh carries out Quality Control scanning, obtains new scanning result, the new scanning result by analyzing, if being also to determine Gain tuning project
It is middle to there is exception PMT, then it is considered that abnormal repair to Gain tuning project is failure, that is to say, that pin in database
Recovery scenario to Gain tuning project is that invalid, mistake formulates new reparation side, it is necessary to be directed to Gain tuning project again
Case；If it is determined that exception PMT is not present in Gain tuning project, then it is considered that being into abnormal repair of Gain tuning project
Work(, that is to say, that the recovery scenario in database for Gain tuning project is effective, feasible.
Further, if repairing failure, repairing failure can also be sent to the terminal device of targeted customer and notified, to notify
Related personnel is manually repaired, it is to avoid influence because that can not repair abnormal Quality Control project in time the normal of target device to make
With.Wherein, targeted customer equally can be that equipment user is responsible for the operating personnel of Quality Control scanning and/or the clothes of equipment supplier
Business personnel；The terminal device of targeted customer can be computer or portable equipment, such as mobile phone, tablet personal computer；Repair
The mode of failure notification can be voice message or text prompt, picture cues be can also be, here not to notice side
Formula is defined.
It can be seen that, after reparation terminates extremely, scanned by re-starting Quality Control to the abnormal Quality Control project after reparation, can be with
Determine whether to have eliminated Quality Control exception.If abnormal repairing failure, notifies targeted customer in time, so as to targeted customer or
Related personnel is notified to reformulate corresponding recovery scenario for the abnormal Quality Control project by targeted customer, so as to ensure target
The normal of equipment is used.
Further, for S203 opposite situation, i.e. if being carried out to target device after Quality Control scanning, it is determined that being not present
Any abnormal Quality Control project, then can be shut down with control targe equipment, be started shooting again when target device is needed to use；In addition, may be used also
To send Quality Control scanning success notification to the terminal device of targeted customer, to inform Quality Control result to targeted customer.Wherein, target
User equally can be that equipment user is responsible for the operating personnel of Quality Control scanning and/or the attendant of equipment supplier；Target
The terminal device of user can be computer or portable equipment, such as mobile phone, tablet personal computer；Quality Control, which is scanned, successfully leads to
The mode known can be voice message or text prompt, can also be picture cues, advice method not carried out here
Limit.
Referring to Fig. 4, a kind of composition schematic diagram of the equipment Quality Control device provided for the embodiment of the present application, the device can be wrapped
Include：
First Quality Control scanning element 401, for the request in response to starting Quality Control scanning, according to preset Quality Control flow to mesh
At least one Quality Control project of marking device carries out Quality Control scanning；
Anomaly item determining unit 402, the scanning result for analyzing the Quality Control scanning, judges at least one described matter
With the presence or absence of abnormal Quality Control project in control project；
Recovery scenario acquiring unit 403, if for there is the abnormal Quality Control project, obtaining the abnormal Quality Control project
Recovery scenario；
Project repairs unit 404 extremely, for carrying out abnormal repair to the abnormal Quality Control project using the recovery scenario
It is multiple.
In a kind of embodiment of the application, the anomaly item determining unit 402 can include：
Quality Control figure generates subelement, the Quality Control figure for generating the reflection scanning result；
Quality Control map analysis subelement, for analyzing the Quality Control figure, judges whether deposited at least one described Quality Control project
In abnormal Quality Control project.
In a kind of embodiment of the application, the recovery scenario acquiring unit 403 can include：
Local judgment sub-unit, if for there is the abnormal Quality Control project, judging whether stored in local data base
There is the recovery scenario of the abnormal Quality Control project；
Scheme obtains subelement, if the recovery scenario for the abnormal Quality Control project that is stored with local data base,
The recovery scenario is obtained from the local data base；If the abnormal Quality Control project that is not stored with local data base is repaiied
Compound case, then obtain the recovery scenario from the cloud database of Cloud Server.
In a kind of embodiment of the application, described device can also include：First information uploading unit, if for institute
The recovery scenario that is not stored with cloud database is stated, then the abnormal information of the abnormal Quality Control project is uploaded into the cloud takes
Business device.
In a kind of embodiment of the application, described device can also include：First notifies transmitting element, if for institute
The recovery scenario that is not stored with cloud database is stated, then sends the acquisition of the recovery scenario to the terminal device of targeted customer
Failure notification.
In a kind of embodiment of the application, described device can also include：
Second Quality Control scanning element, after the abnormal reparation of reparation unit 404 terminates extremely in the project, after reparation
The abnormal Quality Control project re-start Quality Control scanning, to check whether abnormal repair succeeds；
Second information uploading unit, if for repairing failure, the abnormal Quality Control before repairing and/or after reparation
Purpose abnormal information is uploaded to Cloud Server.
In a kind of embodiment of the application, described device can also include：Second notifies transmitting element, if for repairing
Multiple failure, then send repairing failure to the terminal device of targeted customer and notify.
In a kind of embodiment of the application, described device can also include：
Start time detecting unit, the default startup time for detecting the Quality Control scanning；
First request trigger element, if being in shutdown shape for reaching the default startup time and the target device
State, then start the target device, and after the target device normally starts, triggers the request for starting Quality Control scanning；
Second request trigger element, if being in start shape for reaching the default startup time and the target device
State, then trigger the request of the startup Quality Control scanning.
The equipment Quality Control device that the embodiment of the present application is provided, by detect Quality Control scan enabling signal after, root
Quality Control scanning is carried out at least one Quality Control project of target device according to preset Quality Control flow；Analysis quality control scanning result, it is determined that
With the presence or absence of abnormal Quality Control project at least one Quality Control project；If there is abnormal Quality Control project, the abnormal Quality Control is obtained
Purpose recovery scenario, and abnormal reparation is carried out to the abnormal Quality Control project using the recovery scenario.It can be seen that, automatic detection exception matter
Control project simultaneously excludes Quality Control exception automatically, saves human cost, and rapidly and accurately eliminates Quality Control exception, so as to improve
Quality Control operating efficiency, and then ensure that the normal of target device is used.
Referring to Fig. 5, a kind of hardware architecture diagram of the equipment Quality Control device provided for the embodiment of the present application, the electronics
Equipment 500 includes memory 501 and receiver 502, and is respectively connected with the memory 501 and the receiver 502
Processor 503, the memory 501 is used to store batch processing instruction, and the processor 503 is used to call the memory
The programmed instruction of 501 storages performs following operation：
Request in response to starting Quality Control scanning, according at least one the Quality Control project of preset Quality Control flow to target device
Carry out Quality Control scanning；
The scanning result of the Quality Control scanning is analyzed, is judged at least one described Quality Control project with the presence or absence of abnormal Quality Control
Project；
If there is the abnormal Quality Control project, the recovery scenario of the abnormal Quality Control project is obtained, and repaiied described in
Compound case carries out abnormal reparation to the abnormal Quality Control project.
In a kind of embodiment of the application, the processor 503 is additionally operable to the journey for calling the memory 501 to store
Sequence instruction performs following operation：
The Quality Control figure of the generation reflection scanning result；
The Quality Control figure is analyzed, is judged at least one described Quality Control project with the presence or absence of abnormal Quality Control project.In this Shen
In a kind of embodiment please, the programmed instruction execution that the processor 503 is additionally operable to call the memory 501 to store is as follows
Operation：
If the recovery scenario for the abnormal Quality Control project that is stored with local data base, is obtained from the local data base
Take the recovery scenario；
If the recovery scenario for the abnormal Quality Control project that is not stored with local data base, from the cloud data of Cloud Server
The recovery scenario is obtained in storehouse.
In a kind of embodiment of the application, the processor 503 is additionally operable to the journey for calling the memory 501 to store
Sequence instruction performs following operation：
If not being stored with the recovery scenario in the cloud database, by the abnormal information of the abnormal Quality Control project
Reach the Cloud Server.
In a kind of embodiment of the application, the processor 503 is additionally operable to the journey for calling the memory 501 to store
Sequence instruction performs following operation：
If the recovery scenario is not stored with the cloud database, to targeted customer terminal device send described in repair
The acquisition failure notification of compound case.
In a kind of embodiment of the application, the processor 503 is additionally operable to the journey for calling the memory 501 to store
Sequence instruction performs following operation：
After reparation terminates extremely, Quality Control scanning is re-started to the abnormal Quality Control project after reparation, to check
State whether abnormal repair succeeds；
If repairing failure, the abnormal information of the abnormal Quality Control project before repairing and/or after reparation is uploaded to cloud
Server.
In a kind of embodiment of the application, the processor 503 is additionally operable to the journey for calling the memory 501 to store
Sequence instruction performs following operation：
If repairing failure, send repairing failure to the terminal device of targeted customer and notify.
In a kind of embodiment of the application, the processor 503 is additionally operable to the journey for calling the memory 501 to store
Sequence instruction performs following operation：
Detect the default startup time of the Quality Control scanning；
If reaching the default startup time and the target device being in off-mode, start the target device,
And after the target device normally starts, trigger the request for starting Quality Control scanning；
If reaching the default startup time and the target device being in open state, trigger the startup Quality Control and sweep
The request retouched.
In some embodiments, the processor 503 can be central processing unit (Central Processing
Unit, CPU), the memory 501 can be the interior of random access memory (Random Access Memory, RAM) type
Portion's memory, the receiver 502 can include General Physics interface, and the physical interface can connect for ether (Ethernet)
Mouth or asynchronous transfer mode (Asynchronous Transfer Mode, ATM) interface.The processor 503, receiver 502
One or more independent circuits or hardware can be integrated into memory 501, such as：Application specific integrated circuit (Application
Specific Integrated Circuit, ASIC).
As seen through the above description of the embodiments, those skilled in the art can be understood that above-mentioned implementation
All or part of step in example method can add the mode of required general hardware platform to realize by software.Based on such
Understand, the part that the technical scheme of the application substantially contributes to prior art in other words can be in the form of software product
Embody, the computer software product can be stored in storage medium, such as ROM/RAM, magnetic disc, CD, including it is some
Instruction is to cause a computer equipment (can be the network services such as personal computer, server, or WMG
Equipment, etc.) perform method described in some parts of each embodiment of the application or embodiment.
It should be noted that the embodiment of each in this specification is described by the way of progressive, each embodiment emphasis is said
Bright be all between the difference with other embodiment, each embodiment identical similar portion mutually referring to.For reality
For applying device disclosed in example, because it is corresponded to the method disclosed in Example, so description is fairly simple, related part
Referring to method part illustration.
It should also be noted that, herein, such as first and second or the like relational terms are used merely to one
Entity or operation make a distinction with another entity or operation, and not necessarily require or imply between these entities or operation
There is any this actual relation or order.Moreover, term " comprising ", "comprising" or its any other variant are intended to contain
Lid nonexcludability is included, so that process, method, article or equipment including a series of key elements not only will including those
Element, but also other key elements including being not expressly set out, or also include being this process, method, article or equipment
Intrinsic key element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that
Also there is other identical element in process, method, article or equipment including the key element.
The foregoing description of the disclosed embodiments, enables professional and technical personnel in the field to realize or use the application.
A variety of modifications to these embodiments will be apparent for those skilled in the art, as defined herein
General Principle can in other embodiments be realized in the case where not departing from spirit herein or scope.Therefore, the application
The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one
The most wide scope caused.
Claims (10)
1. a kind of equipment quality control method, it is characterised in that including：
Request in response to starting Quality Control scanning, is carried out according to preset Quality Control flow at least one Quality Control project of target device
Quality Control is scanned；
The scanning result of the Quality Control scanning is analyzed, is judged at least one described Quality Control project with the presence or absence of abnormal Quality Control
Mesh；
If there is the abnormal Quality Control project, the recovery scenario of the abnormal Quality Control project is obtained, and utilize the reparation side
Case carries out abnormal reparation to the abnormal Quality Control project.
2. according to the method described in claim 1, it is characterised in that the scanning result of the analysis Quality Control scanning, judge
With the presence or absence of abnormal Quality Control project at least one described Quality Control project, including：
The Quality Control figure of the generation reflection scanning result；
The Quality Control figure is analyzed, is judged at least one described Quality Control project with the presence or absence of abnormal Quality Control project.
3. according to the method described in claim 1, it is characterised in that the recovery scenario for obtaining the abnormal Quality Control project,
Including：
If the recovery scenario for the abnormal Quality Control project that is stored with local data base, obtains institute from the local data base
State recovery scenario；
If the recovery scenario for the abnormal Quality Control project that is not stored with local data base, from the cloud database of Cloud Server
Obtain the recovery scenario.
4. method according to claim 3, it is characterised in that methods described also includes：
If not being stored with the recovery scenario in the cloud database, the abnormal information of the abnormal Quality Control project is uploaded to
The Cloud Server.
5. method according to claim 4, it is characterised in that methods described also includes：
If not being stored with the recovery scenario in the cloud database, the reparation side is sent to the terminal device of targeted customer
The acquisition failure notification of case.
6. according to the method described in claim 1, it is characterised in that described to utilize the recovery scenario to the abnormal Quality Control
Mesh is carried out after abnormal reparation, in addition to：
After reparation terminates extremely, Quality Control scanning is re-started to the abnormal Quality Control project after reparation, it is described different to check
Often repair and whether succeed；
If repairing failure, the abnormal information of the abnormal Quality Control project before repairing and/or after reparation is uploaded to cloud service
Device.
7. method according to claim 6, it is characterised in that methods described also includes：
If repairing failure, send repairing failure to the terminal device of targeted customer and notify.
8. the method according to any one of claim 1 to 7, it is characterised in that described in response to starting asking for Quality Control scanning
Before asking, in addition to：
Detect the default startup time of the Quality Control scanning；
If reaching the default startup time and the target device is in off-mode, start the target device, and
After the target device normally starts, the request for starting Quality Control scanning is triggered；
If reaching the default startup time and the target device being in open state, the startup Quality Control scanning is triggered
Request.
9. a kind of equipment Quality Control device, it is characterised in that including：
First Quality Control scanning element, for the request in response to starting Quality Control scanning, according to preset Quality Control flow to target device
At least one Quality Control project carry out Quality Control scanning；
Anomaly item determining unit, the scanning result for analyzing the Quality Control scanning, judges at least one described Quality Control project
In with the presence or absence of abnormal Quality Control project；
Recovery scenario acquiring unit, if for there is the abnormal Quality Control project, obtaining the reparation of the abnormal Quality Control project
Scheme；
Project repairs unit extremely, for carrying out abnormal reparation to the abnormal Quality Control project using the recovery scenario.
10. a kind of equipment Quality Control device, it is characterised in that including：Processor, memory, system bus；
The processor and the memory are connected by the system bus；
The memory is used to store one or more programs, and one or more of programs include instruction, and quilt is worked as in the instruction
Make method of the computing device as any one of claim 1-8 during the computing device.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710349120.6A CN107194168A (en) | 2017-05-17 | 2017-05-17 | A kind of equipment quality control method and device |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710349120.6A CN107194168A (en) | 2017-05-17 | 2017-05-17 | A kind of equipment quality control method and device |
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| CN107578394A (en) * | 2017-10-11 | 2018-01-12 | 上海联影医疗科技有限公司 | A kind of restorative procedure and device of image reconstruction failure |
| CN108231176A (en) * | 2017-12-28 | 2018-06-29 | 北京全域医疗技术有限公司 | The running quality of radiotherapy apparatus determines method, server and system |
| CN109115859A (en) * | 2018-10-23 | 2019-01-01 | 广东祥岳生物技术有限公司 | A kind of newborn's Screening for Thalassemia outcome quality control method |
| CN109408262A (en) * | 2018-09-26 | 2019-03-01 | 平安医疗健康管理股份有限公司 | A kind of business data processing method and relevant device |
| CN111126851A (en) * | 2019-12-25 | 2020-05-08 | 上海奥普生物医药股份有限公司 | Quality control method, system, server and storage medium |
| CN111551757A (en) * | 2019-06-26 | 2020-08-18 | 金寓润泽(北京)科技有限责任公司 | Quality control method and equipment for personalized clinical examination |
| CN114563991A (en) * | 2022-02-22 | 2022-05-31 | 中国医学科学院北京协和医院 | Intelligent overall process quality control system for nuclear medicine image examination |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114563991A (en) * | 2022-02-22 | 2022-05-31 | 中国医学科学院北京协和医院 | Intelligent overall process quality control system for nuclear medicine image examination |
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Address after: 110179 No. 177-1 Innovation Road, Hunnan District, Shenyang City, Liaoning Province Applicant after: DongSoft Medical System Co., Ltd. Address before: 110179 No. 177-1 Innovation Road, Hunnan District, Shenyang City, Liaoning Province Applicant before: Dongruan Medical Systems Co., Ltd., Shenyang |
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Application publication date: 20170922 |
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