CN109886512A - Remaining emergency maintenance time evaluation method and method for early warning and its estimating system and early warning system - Google Patents
Remaining emergency maintenance time evaluation method and method for early warning and its estimating system and early warning system Download PDFInfo
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Abstract
The present invention discloses the remaining emergency maintenance time evaluation method and method for early warning of a kind of equipment, and corresponding estimating system and early warning system.The remaining emergency maintenance time evaluation method of equipment of the invention, comprising: the monitoring parameter, alarm threshold value and the bigger threshold value that endangers for configuring equipment store；The monitoring parameter value and its time of origin for obtaining equipment in real time carry out the collection of abnormal data according to real time monitoring parameter value and alarm threshold value；Remaining emergency maintenance time is generated according to the abnormal data information of collection record and the bigger threshold value that endangers.Pass through this method, can alarm threshold value be configured with equipment situation based on practical experience, and threshold value is endangered according to the configuration of manufacturer's technical manual is bigger, to realize the estimation for reaching the bigger remaining time for endangering threshold value to monitoring of tools parameter, accurately remaining emergency maintenance time is provided for user, in order to which user carries out respective handling according to calculated result in time, user time is saved, heavy losses are avoided.
Description
Technical field
The present invention relates to device management techniques field more particularly to medical equipment management technical fields, and in particular, to one
Remaining emergency maintenance time evaluation method and remaining emergency maintenance time method for early warning of the kind for equipment, and one kind are used to set
The estimating system and early warning system of standby remaining emergency maintenance time.
Background technique
Liquid helium pressure is the key parameter in nuclear magnetic resonance equipment, once liquid helium appearance of abnormal pressure fluctuates, it is likely that meeting
The serious consequences such as lead to liquid helium to be revealed, or even quench, brings about great losses to hospital.Therefore, it is necessary to the exceptions in liquid helium pressure
Fluctuation may result in liquid helium leakage when, notify related personnel to take treatment measures in time, thus avoid serious consequence and
Loss.
It is all that Maintenance Engineer reports for repairment according to hospital currently, whether may cause the judgement of liquid helium leakage to liquid helium pressure
When description, empirically estimate equipment there are also how long can occur liquid helium leakage, then determine which kind for the treatment of measures taken.It can
See, existing processing mode is all artificial inquiry and judgement, is completely dependent on the personal subjective judgement of engineer, but also need to cure
Institute arranges personnel to carry out on duty and guarantee, and therefore, cost of labor is relatively high, and treatment effeciency is not high.Therefore, it needs in the industry to propose
A kind of solution that is more effective, more timely and more acurrate can estimating the remaining time apart from liquid helium leakage.
Summary of the invention
According to an aspect of the invention, there is provided a kind of remaining emergency maintenance time of the monitoring parameter for equipment
Evaluation method, with solve in the prior art need by Maintenance Engineer's subjective judgement liquid helium pressure anomaly distance leakage when
Between, the problem that causes accuracy rate and efficiency not high.Method of the invention can be by the liquid helium pressure parameter of nuclear magnetic resonance equipment
Other monitoring parameters of other equipment are expanded to, are all the artificial judgment for relying on Maintenance Engineer at present to solve maintenance of equipment
Problem realizes that monitoring parameter data based on equipment realize the abnormal conditions for automatically analyzing monitoring parameter, and is based on abnormal conditions
The remaining emergency maintenance time of estimation device.
The remaining emergency maintenance time evaluation method of equipment of the invention, comprising: configure monitoring parameter, the warning level of equipment
Value and the bigger threshold value that endangers store；The monitoring parameter value and its time of origin for obtaining equipment in real time, according to real time monitoring parameter value
The collection of abnormal data is carried out with alarm threshold value；Residue is generated according to the abnormal data information of collection record and the bigger threshold value that endangers
Emergency maintenance time.In this way, alarm threshold value can be configured with equipment situation based on practical experience, and according to manufacturer's technology
Handbook configuration is bigger to endanger threshold value, thus realize the estimation for reaching the bigger remaining time for endangering threshold value to monitoring of tools parameter,
To provide accurately remaining emergency maintenance time for user, in order to which user carries out respective handling according to calculated result in time,
User time is saved, heavy losses are avoided.
In some embodiments, remaining emergency is generated according to the abnormal data information of collection record and the bigger threshold value that endangers
Maintenance time is realized by way of curve matching.By way of curve matching, can using multiple input datas into
Row fitting, obtained result are more accurate.
In some embodiments, include: according to the collection that real time monitoring parameter value and alarm threshold value carry out abnormal data
The real time monitoring parameter value that will acquire is compared with alarm threshold value, judges to monitor whether parameter value is to be intended to bigger danger in real time
Evil threshold value direction change exceptional value, when be judged as be intended to the bigger exceptional value for endangering threshold value direction change when, according to exception
Value and its time of origin generate abnormal data information record storage.When being abnormal, abnormal data is collected, is increased
As the radix for the abnormal data record for calculating basis, so that estimation result is more accurate.And since the abnormal data of collection is
It is intended to the bigger exceptional value for endangering threshold value direction change, thus remaining emergency maintenance time is carried out based on abnormal data record
Estimation, reference value is higher, and prediction result is more accurate.
In some embodiments, remaining emergency is generated according to the abnormal data information of collection record and the bigger threshold value that endangers
Maintenance time includes: the time of origin according to exceptional value, judge exceptional value whether be abnormal data information record in the same day cut
Only current extreme value, when for extreme value, according to the time of origin of exceptional value, abnormal data information record and it is bigger endanger threshold value,
Remaining emergency maintenance time is generated by way of curve matching；Or directly believed according to the time of origin of exceptional value, abnormal data
Breath record endangers threshold value with bigger, and remaining emergency maintenance time is generated by way of curve matching.Carry out remaining emergency maintenance
The estimation of time is directly based upon abnormal data record and is calculated either when being abnormal, be also possible to be extremely
(in the case that i.e. current value is extreme value, for being more than upper limit threshold and development just meeting in rising trend in the case where continuous worsening
Reach the bigger parameter for endangering threshold value, which corresponds to maximum value, and for being less than lower threshold and development on a declining curve
The bigger parameter for endangering threshold value can be reached, which corresponds to minimum value), it is estimated based on abnormal data record, when lasting
When being estimated in the case where deterioration, advanced optimizing for evaluation method may be implemented, that is, avoid the real time data ratio of acquisition
In the case where comparatively dense, calculating repeatedly to some Slight undulations exceptional values improves the reference value of estimation result, reduction is made an uproar
Sound.
In some embodiments, curve matching is linear fit, according to the time of origin of exceptional value, abnormal data information
Record endangers threshold value with bigger, and it includes: to judge that abnormal data is believed that remaining emergency maintenance time is generated by way of curve matching
In breath record is whether record quantity on the same day is not less than two with the time of origin of the exceptional value, if being not less than two
It is a, then according to the exceptional value and its time of origin recorded in abnormal data information record, calculated linearly by least square method
The value of fitting parameter；Acquisition is bigger to endanger threshold value, passes through linear fit formula according to linear fit parameter and the bigger threshold value that endangers
It calculates and generates remaining emergency maintenance time.In such a way that least square method is fitted, it is only necessary to two input data conducts
Basis, so that it may realize estimation, realize simple, and with the increase of data, carry out when the estimation of current residual time result more
Accurately, applicable data width is more extensive.
In some embodiments, according to the exceptional value and its time of origin recorded in abnormal data information record, pass through
The value that least square method calculates linear fit parameter includes: the information obtained from abnormal data information record as input data
Record passes through least square method using the exceptional value in the record of the information as input data as y value, time of origin as x value
Linear fit formula y=v*x+b, calculates the value of slope v and constant b；According to linear fit parameter and bigger endanger threshold value meter
Calculating and generating remaining emergency maintenance time includes: that bigger will endanger threshold value as y value according to the value of the slope v and constant b of acquisition,
Equipment, which is calculated, by least square method linear fit formula y=v*x+b reaches the bigger time of origin for endangering threshold value y；It obtains
The time of origin of current exceptional value, when according to the time of origin of current exceptional value and the calculated bigger generation for endangering threshold value y
Between calculate remaining emergency maintenance time.The rate that monitoring parameter currently changes, base are obtained by least square method linear fit
Estimated in rate of change, due to rate of change be it is calculated based on real time data dynamic, thus, calculated remaining emergency dimension
Repairing the time is also based on what current real time rate predicted, as a result accurately, realizes easy, thus the prediction technique is quickly high
Effect.
According to another aspect of the present invention, a kind of remaining emergency maintenance time method for early warning of equipment is additionally provided, is wrapped
It includes: configuring the monitoring parameter of equipment, alarm threshold value, bigger endangers threshold value and the storage of prediction policy information；Equipment is obtained in real time
Monitoring parameter value and its time of origin, according to the abnormal number of the real time monitoring parameter value and alarm threshold value collection monitoring parameter of acquisition
It is believed that breath storage；The prediction policy information for obtaining monitoring parameter is believed according to real time monitoring parameter value, alarm threshold value, prediction policy
Breath and the newest early-warning point of abnormal data acquisition of information collected；When getting newest early-warning point, according to the abnormal data of collection
Information record and the preset bigger threshold value that endangers generate remaining emergency maintenance time, and according to the remaining emergency maintenance time of generation
Warning message output is generated with the newest early-warning point of acquisition.Early-warning point detection is carried out by setting prediction policy, it can be according to need
It asks and detects qualified early-warning point, and when detecting newest early-warning point, just carry out the estimation of remaining emergency maintenance time,
Finally early-warning point information and remaining emergency maintenance time are exported collectively as warning message to user, which can both notify
User's unexpected message also can precisely inform user's residue emergency maintenance time, and user is facilitated to carry out respective handling.Moreover, the party
Under formula, moreover it is possible to formulate prediction policy according to demand, carry out prompting message based on prediction policy, reduce message noise, will really have
Important unexpected message highlights, and greatly improves user experience.Moreover, carrying out remaining emergency maintenance time based on early-warning point
Estimate, the system that also avoids frequently calculates remaining emergency maintenance time, reduces resource occupation.
In some embodiments, according to the abnormal data information of collection record and it is preset it is bigger endanger threshold value generate it is surplus
Remaining emergency maintenance time is realized by way of curve matching, comprising: judges that the record in abnormal data information record is
It is no to meet estimation condition, when meeting estimation condition, obtain the abnormal data within the scope of newest early-warning point certain time；Root
According to the abnormal data within the scope of the newest early-warning point certain time of the distance of acquisition, fitting parameter is calculated by curve matching；Root
According to it is preset it is bigger endanger threshold value and calculated fitting parameter, generate remaining emergency maintenance time.Pass through the side of curve matching
Formula carries out the estimation of remaining emergency maintenance time in early-warning point, realizes simply, and can pass through selected input data amount and guarantee knot
The precision of fruit, moreover it is possible to be estimated in due course, reduce resource occupation, avoid the wasting of resources.
In some embodiments, prediction policy information includes alarm strategy, alarm cycle and fluctuation range, alarm strategy
Alarm strategy is limited for continuous worsening alarm strategy, period restrictions alarm strategy or fluctuation range.Pass through continuous worsening alarm plan
It slightly can be realized and just alarm when data are continuous worsening, highlight important messages and can guarantee real-time；And pass through all time limits
Fixed alarm strategy can reduce noise jamming, be suitable for the lesser key parameter of data variation frequency；And fluctuation range limits report
Pithy is slightly the optimization of continuous worsening alarm strategy, does not instead of only judge the most value at a certain moment, is based on wave
Dynamic range carries out abnormal judgement, can more accurately embody the abnormal conditions of data.
In some embodiments, curve matching mode is linear fit, and when for linear fit, fitting parameter is slope
V and constant b, the fitting parameter are calculated by least square method.Therefore, it is estimated by linear fit, it both can be with
Achieve the effect that estimation result can be obtained based on two input datas, and can reach and improve estimation knot based on multiple input datas
The effect of the accuracy rate of fruit, adaptability is stronger, and the scope of application is wider.And in other implementations, as the case may be and
Demand, curve matching mode can also be index fitting, logistic fit or trigonometric function fitting, be based on other nonlinear fitting sides
Formula is estimated, then can satisfy the demand of different occasions, improves the accuracy of the estimation result under different situations.
According to a further aspect of the invention, a kind of remaining emergency maintenance time estimating system of equipment is additionally provided, is wrapped
Information collocation module is included, the monitoring parameter, alarm threshold value and the bigger threshold value that endangers for configuring equipment store；Abnormal data is collected
Module is configured to obtain the monitoring parameter value and its time of origin of equipment in real time, and according to the real time monitoring parameter value of acquisition and
Pre-set alarm threshold value collects the storage of abnormal data information；With remaining emergency maintenance time estimation block, it is configured to basis
Collection abnormal data information record and it is preset it is bigger endanger threshold value, remaining emergency maintenance is generated by way of curve matching
Time output.Pass through the estimating system, it can realize to the automatic processing of data acquisition and anomaly analysis, can also realize
To the automatic Prediction of emergency maintenance time, manpower dependence has been liberated, has reduced cost of labor, and can the more experience numbers of quick collecting
According to as a result accurately.Also, it may be implemented to carry out data collection and analysis estimation to multiple equipment simultaneously by the estimating system,
Efficiency is very high.
According to a further aspect of the invention, a kind of remaining emergency maintenance time early warning system of equipment is additionally provided, is wrapped
Include information acquisition module, system platform and user terminal, wherein information acquisition module is connected with equipment, sets for obtaining in real time
Standby monitoring parameter data；System platform can adopt respectively with information acquisition module and user terminal communication for obtaining information
The real time monitoring supplemental characteristic for collecting module acquisition is received according to preset alarm strategy, alarm threshold value and real time monitoring supplemental characteristic
Collect abnormal data information and carry out early warning point analysis, and equipment is calculated according to the abnormal data information of collection and the early-warning point of analysis
Remaining emergency maintenance time, generate warning message export to user terminal.By the early warning system, not only realize to equipment
Monitoring parameter it is automatic monitoring and abnormity early warning, moreover it is possible to accurately estimate the time that monitoring parameter distance reaches bigger harm, for
Family provides correct time reference data.And warning message and remaining time can also be notified what user bound by the early warning system
User terminal so that user check it is very convenient.Moreover, a user may be implemented to the prison of multiple equipment by the system
Control and management, greatly improve the working efficiency of user.
In some embodiments, system platform includes parameter setting module, early-warning point acquisition module, remaining emergency maintenance
Time estimation module and alarm module, parameter setting module are used for as device configuration monitoring parameter, alarm threshold value, bigger endanger threshold
Value and the storage of prediction policy information；Early-warning point obtains module and is used for according to real time monitoring supplemental characteristic, alarm threshold value, bigger harm
Threshold value and the newest early-warning point of prediction policy acquisition of information；Remaining emergency maintenance time estimation block includes abnormal data collector unit
And time calculating unit, abnormal data collector unit are used for raw according to real time monitoring supplemental characteristic and pre-set alarm threshold value
At abnormal data information record storage, time calculating unit is used for when early-warning point obtains module and gets newest early-warning point, root
According to newest early-warning point information, the abnormal data information of generation record and it is preset it is bigger endanger threshold value, pass through the side of curve matching
Formula generates remaining emergency maintenance time；Alarm module is used for according to the remaining emergency maintenance time of generation and the newest early warning of acquisition
Point generates warning message and exports to user terminal.By obtaining the collected real time monitoring parameter information of information acquisition module, base
Early warning analysis and remaining emergency maintenance are carried out in alarm threshold value, real time monitoring supplemental characteristic, bigger threshold value and the prediction policy of endangering
Time estimation, it is as a result more accurate.And the tactful filter analysis to early-warning point of alarming, so that the warning message that user terminal receives
It is all important, is valuable, avoiding the interference of message noise.And by the automatic of device real-time monitoring supplemental characteristic
Acquisition and analysis, so that monitoring and the analysis processing of any parameter or module to equipment, it is flat can be transplanted to remote system
Platform is monitored and is analyzed while realizing to based on a system platform to multiple equipment, greatly improves efficiency, reduces Supervision
Control and maintenance cost.
In some embodiments, user terminal be wechat, SMS, mail or client end AP P one of which or
Two or more combinations.Message early warning is carried out based on the common user terminal of user, facilitates user to check, and provide multiple choices
Approach can provide user experience significantly, and user is facilitated to carry out equipment management and maintenance monitoring.
Detailed description of the invention
Fig. 1 is the flow diagram of the remaining emergency maintenance time evaluation method of one embodiment of the present invention；
Fig. 2 is the method flow schematic diagram that remaining emergency maintenance time is generated in method shown in Fig. 1；
Fig. 3 is the flow diagram of the remaining emergency maintenance time method for early warning of one embodiment of the present invention；
Fig. 4 is the method flow schematic diagram that user terminal is bound to outlet terminal in method for early warning shown in Fig. 3；
Fig. 5 is the circuit theory schematic diagram of the remaining emergency maintenance time estimating system of one embodiment of the present invention；
Fig. 6 is the circuit theory schematic diagram of the remaining emergency maintenance time early warning system of one embodiment of the present invention；
Fig. 7 is the circuit theory schematic diagram of the remaining emergency maintenance time early warning system of another embodiment of the present invention；
Fig. 8 is the circuit theory schematic diagram of the remaining emergency maintenance time early warning system of a further embodiment of this invention.
Specific embodiment
It is monitored the embodiment of the invention provides the monitoring parameter to equipment and remaining according to monitoring parameter data estimation
Emergency maintenance time and the method and system that early warning is carried out to the exception of monitoring parameter and remaining emergency maintenance time are main logical
It crosses and monitoring parameter setting alarm threshold value and the bigger threshold value that endangers is realized.Wherein alarm threshold value refers to that deviation normal value, generation are different
Normal threshold value, and it is bigger endanger threshold value and refer to when the value of monitoring parameter reaches the value more great harm will occur, wherein report
Alert threshold value needs to combine practical experience to determine by Maintenance Engineer according to equipment actual conditions, and bigger endangers threshold value then by equipment
Manufacturer provides in service manual.The present invention is directed to alarm threshold value is arranged by the monitoring parameter for equipment and bigger endangers threshold
Value carries out anomaly analysis and remaining emergency maintenance time estimation by the real data situation of monitoring of tools parameter, and will estimation
Remaining emergency maintenance time out is sent to user, to carry out early warning, facilitate user combine remaining emergency maintenance time as early as possible into
Row respective handling avoids the generation of bigger harm.Wherein, the equipment in the embodiment of the present invention can be it is any can to monitoring join
Number provides alarm threshold values and the bigger equipment for endangering threshold value, such as Medical Devices, specifically for example can be nuclear magnetic resonance equipment,
CT, ultrasound etc., monitoring parameter for example can be that liquid helium pressure, cold head temperature, shielded layer temperature, water temperature, water flow etc. are any can
Set alarm threshold value and the bigger device parameter for endangering threshold value.The embodiment of the present invention is by emphasis with the liquid helium to nuclear magnetic resonance equipment
Pressure is described in detail for being monitored.It will be appreciated by persons skilled in the art that when equipment and monitoring parameter occur
When variation, it is only necessary to change setting alarm threshold value and it is bigger endanger threshold value, specific evaluation method and method for early warning
Basic conception is constant, therefore can refer to when equipment and monitoring parameter change and hereafter carry out adaptation, to realize to not
Monitoring parameter with equipment carries out abnormity early warning analysis and remaining emergency maintenance time estimation.
Embodiments of the present invention are described in detail with reference to the accompanying drawing.
Fig. 1 schematically shows that the remaining emergency maintenance time for equipment under one embodiment of the present invention is estimated
The process of method alarm in embodiments of the present invention so that equipment is nuclear magnetic resonance equipment, monitoring parameter is liquid helium pressure as an example
Threshold value is liquid helium pressure alarm threshold value, bigger endanger leakage threshold value that threshold value is liquid helium pressure and (be higher than the value, liquid helium will be sent out
Raw leakage, generates more serious harm), as shown in Figure 1, this method comprises:
Step S101: being arranged the liquid helium pressure alarm threshold value of equipment and reveals threshold value and stores.
Setting of the user to liquid helium pressure alarm threshold value and leakage threshold value is received by the page, and will according to the setting of user
Liquid helium pressure alarm threshold value and leakage threshold value to the setting of each equipment are stored into database, that is, generating includes device id, liquid
The data list structure of helium pressure alarm threshold value and leakage threshold value, and stored the threshold value received as the content of respective field.
Wherein, liquid helium pressure alarm threshold value is the thresholding for starting early warning, and the value is by field engineer according to the liquid helium of equipment
Configuring condition is empirically arranged, including upper limit threshold and lower threshold, and upper limit threshold is used to indicate the upper limit of liquid helium pressure value
Value, lower threshold be used to indicate the lower limit value of liquid helium pressure value, when the liquid helium pressure value that actual acquisition arrives be more than upper limit threshold or
Lower than lower threshold, then it represents that liquid helium appearance of abnormal pressure, for example, the corresponding liquid helium pressure configuration of opening and closing heater is
3.9 and 4.1, then according to the configuring condition, engineer may set 3.85 for lower threshold, set upper limit threshold to
4.15.And reveal threshold value and be then used to indicate when liquid helium pressure reaches the value, liquid helium leakage will occur, by producer's magnet handbook
It provides, if the leakage pressure of GE nuclear-magnetism is 5.25, then sets 5.25 for the leakage threshold value of the equipment.
Step S102: the liquid helium pressure value and its time of origin of equipment are obtained in real time.
The step can be accomplished in several ways, such as by the way that liquid helium pressure sensor is arranged in equipment, by straight
The mode for connecing reading liquid helium pressure sensor data obtains the liquid helium pressure value and its time of origin of equipment；For another example, by real-time
The liquid helium pressure value and time of origin that display is read from equipment carry out real-time typing etc. according to result is read by professional.
In a preferred embodiment, the liquid helium pressure value of equipment and its implementation of time of origin are obtained in real time are as follows: obtain equipment in real time
Log parses the real-time liquid helium pressure value and its time of origin of each equipment from device log.Wherein, pass through device log
The mode for obtaining data specifically may be implemented are as follows: connect nuclear magnetic resonance equipment, with data acquisition module to be acquired by data
Module reads device log from the device, and uploads (such as sending by network) and store to server.Wherein, which acquires
Module can be set to a data acquisition box, and a data acquisition box is all arranged on each device, is read by data acquisition box
The device log in equipment is taken, network communication module (such as 3G/4G mould that the device log of reading is passed through into data acquisition box later
Block) it is sent on cloud server and is stored.Later, it traverses the device log transmitted on acquisition module to be parsed, mainly
To extract the key message in device log by Feature Correspondence Algorithm, the content of key message is determined according to specific equipment
Justice, such as the embodiment of the present invention, key message is liquid helium pressure value and its time of origin, then passes through timestamp respectively
Keyword corresponding with liquid helium pressure carries out characteristic matching to device log, and obtaining liquid helium pressure value and time of origin, these are crucial
The data value of information.After extracting key message, following step S103 both can be directly carried out, will can also first be extracted
Information storage, carry out following step S103 further according to the information of storage.Wherein, the behaviour of step S103 is directly carried out after extraction
Work is very intuitive, i.e., exports the liquid helium pressure value extracted and be compared to step S103, therefore, here without excessive
Elaboration.And the mode first stored after extracting, specifically: the key message extracted is stored in database as indexing units
In, to generate the liquid helium pressure information database of each nuclear magnetic resonance equipment.Specific implementation are as follows: acquisition is read from cloud server
The device log that module uploads, and formed according to preset key message using key message as the database knot of indexing units
Structure obtains history relevant to these key messages later by the log of Feature Correspondence Algorithm analyzing device from device log
Record includes liquid helium pressure value and timestamp, and then, device id based on equipment generates the liquid helium pressure data note of a certain equipment
Address book stored is into database.It is formed as a result, using device id, liquid helium pressure value and time of origin as the magnetic resonance equipment of field
Table structure, the content of the corresponding field extracted in device log is stored into the table structure, magnetic resonance is formed and sets
Standby liquid helium pressure information database, such as data-base content as shown in the table:
| Device id | Time of origin | Liquid helium pressure value |
Table 1
Step S103: different according to whether real-time liquid helium pressure value and pre-set liquid helium pressure alarm threshold decision occur
Often, abnormal data information record is generated according to judging result.
Obtaining when parsing real-time liquid helium pressure value or from liquid helium pressure information database real-time liquid helium pressure
After value, the preset liquid helium pressure alarm threshold value of storage is obtained, real-time liquid helium pressure value and liquid helium pressure alarm threshold value are carried out
Compare, judge whether it is greater than upper limit threshold or is less than lower threshold, if it is greater than upper limit threshold or is less than lower threshold, then says
Exception has occurred in bright current liquid helium pressure value.
When judging result is to be abnormal, it is necessary to generate abnormal data information record according to judging result.Wherein, it needs
It is noted that monitoring parameter is liquid helium pressure in the embodiment of the present invention, and for the liquid helium pressure of nuclear magnetic resonance equipment, only
There is the increase of liquid helium pressure just to have the risk of leakage, therefore, the liquid helium pressure anomaly data only based on increase carry out remaining dimension
The estimation for repairing the time is only reasonable and just can be more acurrate, therefore, is generated extremely according to judging result in embodiments of the present invention
When data information records, only the liquid helium pressure value beyond upper limit threshold is collected, i.e., only will be above the exception of upper limit threshold
Data are generated as abnormal data information record storage in the database.And in other embodiments, for the bigger of monitoring parameter
The producing method and feature of danger threshold are also possible to record all real time datas being abnormal, and generate abnormal number
It is believed that breath record, can also be and only record to the real time data lower than lower threshold, abnormal data information record is generated, this
Inventive embodiments are not intended as the limitation to the abnormal data feature of collection, and basic conception is: only to being intended to bigger endanger threshold
The abnormal data (i.e. to the abnormal data of the bigger direction change for endangering threshold value) of value is collected, and generates abnormal data information note
Record, to record the estimation for carrying out remaining emergency maintenance time based on abnormal data information.
Step S104: according to the abnormal data information of generation record and preset leakage threshold value, remaining emergency maintenance is generated
Time.
After having collected a certain number of abnormal datas, so that it may predict that liquid helium pressure deteriorates by way of curve matching
To the time of leakage threshold value, and thus obtain remaining emergency maintenance time.Wherein, residue is calculated by way of curve matching to answer
Anxious maintenance time can be to be estimated based on abnormal conditions real-time perfoming, i.e., ought detect in step s 103 more than upper limit threshold
After abnormal and storage, the calculating for carrying out remaining emergency maintenance time can be recorded based on abnormal data.And in a preferred embodiment,
It is also possible to just carry out the calculating of remaining emergency maintenance time in the case where abnormal data is occurs continuous worsening.Wherein, by
In the embodiment for being abnormal the calculating for carrying out remaining emergency maintenance time, to the calculating operation of remaining emergency maintenance time
May be very frequent, and since some exceptions are not especially severe, the resources occupation rate frequently calculated can compare
Height, user experience are not good enough.Based on this, in a preferred embodiment, the calculating for carrying out remaining emergency maintenance time is in abnormal number
It in the case where deterioration has occurred, is just calculated, wherein deterioration refers to that abnormal situation is increasingly severe, i.e., current is different
Normal liquid helium pressure value develops towards the direction more and more far away from liquid helium pressure alarm threshold value, more abnormal than last time further from liquid helium pressure
Therefore alarm threshold value after judging whether exception, will also judge whether exception deteriorates, if continuous worsening, just will do it surplus
Otherwise the calculating of remaining emergency maintenance time will not calculate, can only store abnormal data.Wherein, when judging result is hair
When raw abnormal, further judge whether exceptional value is that the modes of further deterioration data can be with are as follows: obtain current exceptional value and its
Time of origin, by database retrieval mode judge current exceptional value whether be abnormal data information record in the same day (i.e. with
The time of origin of current exceptional value is on the same day) maximum value until cut-off is current then illustrates the exception phase if it is maximum value
Deteriorated than exception before, if whether maximum value, illustrate that there is no deteriorate.Deteriorated when being judged as
In the case where, the calculating of remaining emergency maintenance time will be carried out, wherein specific calculation is by way of curve matching
Threshold value is recorded and revealed based on abnormal data information to be estimated.Curve matching can be linear fit, be also possible to non-linear
Fitting, such as exponential fitting, logistic fit and trigonometric function fitting, when passing through linear fit, can by least square method into
The calculating of row fitting parameter, and can be according to the characteristics of corresponding fit approach and the prior art is corresponding when passing through nonlinear fitting
Common fitting parameter realizes that algorithm is fitted the calculating of parameter.Since curve matching needs to have a certain number of input datas
It can just be exported, therefore, the quantity of the abnormal data information record of collection needs to meet certain amount and just meets and can calculate
Condition (meeting estimation condition), wherein the certain amount of collection according to the matched curve of selection determine.The embodiment of the present invention
It is illustrated so that curve matching selects linear fit as an example, other fit approach can such as input number in conjunction with implementation hereafter
According to method of determination, and combine corresponding fit approach under parameter and formula carry out appropriate adjustment realization.It is with linear fit
Example, since the input data that linear fit needs is minimum two, collected in the mode for selecting linear fit certain
The abnormal data of quantity refers to the item number of the abnormal data information record of collection not less than two.Fig. 2 is in a manner of curve matching
Least square method linear fit is the method for being illustrated the remaining emergency maintenance time of generation, as shown in Fig. 2, this method comprises:
Step S1041: judging whether the record number in abnormal data information record is not less than two, carries out when being not less than two
Step S1042.
It is 2~n x value and y value since least square method linear fit method is input, exports as slope and constant, because
This, needs to first determine whether the data bulk in abnormal data information record meets the smallest input demand, works as data bulk
When not less than two, calculating operation is just carried out, otherwise under this time continuous worsening exception, without remaining emergency maintenance time
It calculates.When the data bulk in abnormal data information record meets condition, step S1052 is carried out, when being unsatisfactory for condition, after
It is continuous carry out data acquisition and judge real-time liquid helium pressure value whether Yi Chang processing.
Wherein, in a preferred embodiment, the item number of the abnormal data information record judged is the generation with current exceptional value
Time is record quantity on the same day, i.e. the exception record number on the same day is not less than two.
Step S1042: recording according to abnormal data, calculates slope and constant by least square method linear fit.
When being not less than two, using time of origin as x-axis, using liquid helium pressure value as the data of y-axis, abnormal data note is obtained
Liquid helium pressure value and time of origin in record are inputted respectively as y value and x value, to be obtained in y=v*x+b by linear fit
Slope v and constant b.In the linear fit curve, slope v has meant that the continuous worsening rate of rise of liquid helium pressure value.
Step S1043: it according to slope, constant, preset leakage threshold value and least square method linear formula, calculates and reaches
Reveal the time of origin of threshold value.
Pre-set leakage threshold value is obtained, according to the slope v and constant b acquired, using leakage threshold value as y value
The time of origin x of leakage threshold value is obtained, i.e., thus can calculate the time of origin that liquid helium pressure value reaches leakage threshold value.
Step S1044: obtaining current time, according to the time of origin and current time of leakage threshold value, calculates residue and answers
Anxious maintenance time.
Obtain the system in equipment location current time (due to monitored device be likely to be at from Cloud Server it is different
Therefore time zone will be subject to the equipment location time), then, the time of origin for revealing threshold value is subtracted into current time, so that it may
To obtain remaining emergency maintenance time, that is, can be obtained by the liquid helium pressure estimated by current trends reach leakage threshold value when
Between, and this period is the remaining emergency maintenance time for being available to maintenance personal.In other embodiments, the current time
It can not be the current time in system, but the currently time of origin of exceptional value.
In other embodiments, the mode of remaining emergency maintenance time is obtained also by least square method linear fit mode
It can be after acquiring slope v, leakage threshold value and current real-time liquid helium pressure value obtained, since slope v is the liquid estimated out
Therefore helium pressure rate of rise acquires remaining emergency maintenance by formula (the current real-time liquid helium pressure value of leakage threshold value -)/v
Time.
In a preferred embodiment, the y value and x value inputted in step S1042 can not also be complete in abnormal data record
Portion's exception information, but in the case where continuous worsening, a certain number of exception informations are obtained from abnormal data information record,
Such as it extracts different (in such as ten minutes or 20 minutes) nearby apart from current deterioration exceptional value (i.e. the last one needs early-warning point)
Often point as input (i.e. using within the scope of ten minutes or 20 minutes exception liquid helium pressure value as y value, time of origin as
The input of x value), to calculate slope and constant.In this case, since the input point of selection is current to need early-warning point (i.e.
It is current to deteriorate exceptional value) neighbouring exceptional value, the degradation rate v because obtained from is closer to actual conditions, so that calculated remain
Remaining emergency maintenance time is more accurate.The specific implementation of the preferred embodiment, is illustrated below: assuming that a certain nuclear-magnetism is set
The standby liquid helium pressure threshold upper limit is 6 o'clock sharps of on October 29th, 4.15,2017, the recording exceptional value in abnormal data information record
4.16, it is assumed that exceptional value do not occurred before this day, then being made whether current exceptional value for continuous worsening judgement
When, it is to end the condition of current maximum value on the same day, therefore be judged as continuous worsening value, as early warning value which, which meets,
At this point, carrying out the calculating of remaining emergency maintenance time, record quantity is obtained from abnormal data information record and is judged, due to
Only one exception record of the same day, is unsatisfactory for estimation condition, therefore, does not calculate remaining time.Then, it is assumed that 6 points 01 minute, different
Regular data information record in record second exceptional value 4.19, judge at this time second exceptional value whether be it is continuous worsening, by
End current maximum value in 4.19 for the same day, therefore, be judged as continuous worsening, as early warning value, carries out remaining emergency at this time
The calculating of maintenance time obtains record quantity from abnormal data information record and is judged, since the same day, there are two abnormal notes
Record, meets design conditions, therefore obtains the exceptional value and time of origin of this two records, and two time of origin points are converted into
Unix timestamp, i.e., respectively 1509228000 and 1509228060, corresponding liquid helium pressure value are respectively 4.16 and 4.19, are led to
It crosses linear fit and finds out v=0.0005, b=-7.546e+05, the substitution formula of liquid helium threshold value 5.25 is obtained into x=
1509230180, gaining UTC time is 36 minutes 6 points of October 29.Since exceptional value, that is, early warning value time of origin is October
29 days 6 points 01 minute, therefore, under the exceptional value, reach leakage threshold value remaining emergency maintenance time be just 35 minutes.Then,
Assuming that 6 points 02 minute, abnormal data information record in have recorded third exceptional value 4.18, then since third exceptional value is not
The maximum value of cut-off same day current time, therefore be the data of non-continuous deterioration, i.e., non-early warning value, therefore, although occurring at this time
It is abnormal, but the estimation without remaining emergency maintenance time.Assuming that then 6 points 03 minute, data exception information record in remember
Whether having recorded the 4th exceptional value is 4.21, be that continuous worsening data value judges to the exceptional value, due to the 4th exception
Value, that is, current exceptional value is to end current maximum value on the same day, therefore be judged as early warning value, when carrying out remaining emergency maintenance at this time
Between calculating, obtain this four exceptional value and (meet apart from current early warning value, i.e. the last one early warning value, within 10 minutes
Abnormal point) carry out linear fit, obtain v=0.00023, b=-3.521e+05, remaining emergency maintenance time be 1 hour 14 points
Clock.
Pass through above step, so that it may according to the deterioration of the liquid helium pressure value of current equipment, estimate in this evil
Change under rate, reaches time and the residue emergency maintenance time of leakage threshold value, the exception of itself of each equipment based on collection
Data carry out analytical calculation, and obtained result is more in line with actual conditions, and reference value is higher, more accurate.Moreover, by this
Automatically the mode estimated liberates the dependence to Maintenance Engineer individual's subjective judgement ability and avoids the bad of easy error,
Realize the informationization of plant maintenance detection.It, can also be with it will be appreciated by persons skilled in the art that the above this estimation mode
It is applied to other monitoring parameters of other equipment, it is only necessary to which liquid helium pressure alarm threshold value is changed into the warning level of corresponding monitoring parameter
Value changes leakage threshold value into corresponding monitoring parameter bigger and endangers threshold value, carries out information collection, abnormal judgement based on same idea
With the remaining emergency maintenance time for the monitoring parameter that other equipment can be obtained that carried out curve fitting based on abnormal data.And excellent
It selects in embodiment, calculates remaining emergency maintenance time, can be is being extremely continuous worsening data, that is, reaches early warning value Shi Caijin
Row calculates, and the input data of curve matching can be the abnormal point near early warning value.
Fig. 3 schematically shows the pre- police of remaining emergency maintenance time for equipment under an embodiment of the present invention
The method flow of method, as shown in figure 3, by taking equipment is nuclear magnetic resonance equipment, monitoring parameter is liquid helium pressure as an example, this method packet
It includes:
Step S301: liquid helium pressure alarm threshold value, leakage threshold value and the alarm strategy of equipment are set and stored.
Liquid helium pressure alarm threshold value, leakage threshold value and the alarm strategy of default equipment, and by preset liquid helium pressure alarm
Threshold value, leakage threshold value and alarm policy store are into the abnormal configuration information data-base recording of relevant device.Pass through User Page
Setting of the user to liquid helium pressure alarm threshold value, leakage threshold value and alarm strategy is received, mode and step S101's are provided with
Method is identical, and so it will not be repeated.And the setting of alarm strategy can be and inputted or selected by User Page, the present invention
Embodiment is illustrated for selecting.In embodiments of the present invention, optionally alarm strategy is configured to may include continuing evil
Change alarm strategy, period restrictions alarm strategy and fluctuation range and limit alarm strategy, the abnormal configuration information of generation includes equipment
ID, alarm threshold value, leakage threshold value, alarm strategy, alarm cycle and fluctuation range.It in other embodiments, can also be according to setting
The feature and actual conditions of standby and key parameter set other alarm strategies based on actual demand, the embodiment of the present invention to this not
It is limited, as long as based on certain optimisation strategy is set, to be filtered to alarm point, to reach reduction warning message
The design of noise and the modification and improvement made, are all considered as within the scope of present inventive concept.The main base of the embodiment of the present invention
Alarm strategy is limited in continuous worsening alarm strategy, period restrictions alarm strategy and fluctuation range to be described in detail.
Wherein, continuous worsening alarm strategy refers to exceptional value and last time alarming value ratio, in the case where deteriorating (i.e. towards
Develop further from the direction of alarm threshold value), just alarm.The alarm strategy for example may be implemented are as follows: deposit after each alarm
Current exceptional value is compared, when detecting abnormal again with root by the alarming value of Chu Dangci with the early warning value of last time first
Judge whether to deteriorate according to comparison result, in case of deterioration just using current exceptional value as early warning value, that is, if exceptional value
Greater than upper limit threshold, and this time, exceptional value is higher than the early warning value of last time, and specification exception has happened deterioration, reported at this time
It is alert；If exceptional value be less than lower threshold, and this time exceptional value be lower than last time early warning value when, specification exception has happened evil
Change, alarms at this time；And if do not deteriorated, it would not alarm.
Period restrictions alarm strategy refers to specified alarm cycle, and each period does an abnormality detection, if when detection
Liquid helium pressure value (i.e. monitoring parameter value) is more than that alarm threshold value is just alarmed.The alarm strategy for example may be implemented are as follows: for week
Time limit alarm surely strategy setting alarm cycle, according to alarm cycle carry out timing, when reaching the time interval of alarm cycle, from
Storage unit obtains newest liquid helium pressure value, and this liquid helium pressure value and upper limit threshold and lower threshold are made ratio respectively
Compared with if the liquid helium pressure value is greater than upper limit threshold or is less than lower threshold, just using the value as early warning value, and by the hair of the value
The raw time as early-warning point, alarms.By taking the liquid helium pressure of nuclear magnetic resonance equipment as an example, the specific implementation example of the strategy
It such as may is that the liquid helium pressure key parameter setting period restrictions alarm strategy for certain nuclear magnetic resonance equipment, while alarm be set
Period is 30 minutes, obtains alarm strategy and is judged, when being judged as period restrictions alarm strategy, obtains alarm cycle and carries out
Timing read a liquid helium pressure value from storage unit every 30 minutes, therefrom obtains a newest liquid helium pressure data values,
And upper limit threshold corresponding with the liquid helium pressure of setting and lower threshold are compared respectively by this value, when occurring more than threshold value
The case where when, just alarm using the value point as early-warning point.In a preferred embodiment, period restrictions alarm strategy can also be real
It is now carried out abnormality detection for the alarm cycle based on variation, such as two alarm cycles of setting, i.e. the first alarm cycle and second
Alarm cycle, the first alarm cycle are set as longer time interval such as 30 minutes, when the second alarm cycle is set as shorter
Between be spaced such as 5 minutes, the abnormality detection of key parameter is switched between the first alarm cycle and the second alarm cycle,
I.e. a period of time is carried out abnormality detection based on the time interval of the first alarm cycle restriction, and next a period of time is based on second
The time interval that alarm cycle limits carries out abnormality detection, wherein the method switched over can be the frequency based on alarm, when
It when alert frequency is higher, is just carried out abnormality detection by shorter alarm cycle, when alert frequency is lower, just by longer
Alarm cycle carries out abnormality detection.Such as it can be implemented as being initially based on the progress of the first alarm cycle to a certain key parameter
Abnormality detection, i.e., detection in every 30 minutes is primary abnormal, if latest data value at that time is abnormal, just alarms；When out
It after now alarming (after alarming for the first time), is just switched to and is carried out abnormality detection based on the second alarm cycle, i.e., detection in every 5 minutes is primary
It is abnormal, if latest data value at that time is abnormal, just alarm；And under the shorter alarm cycle, it is continuous more
It is secondary as all do not needed alarm three times when, then be switched to and carried out abnormality detection based on the first alarm cycle, and so on, when alarm ratio
Relatively frequently, it is just carried out abnormality detection using short cycle, and when alarm than sparse, just carried out abnormality detection using long period.This
Under the implementation of kind period of change, after alarming, if it is threshold value is persistently exceeded, it can be become with more real-time monitoring parameters
Change situation, if only occurring exceeding individual numbers of threshold value once in a while, and long period can be reverted at once, avoid frequent early warning.
Fluctuation range limits alarm strategy and refers to when the undulating value of the monitoring parameter data in the specified period is more than fluctuation model
When enclosing threshold value, alarm.The strategy for example may be implemented are as follows: when fluctuation range restriction alarm strategy is arranged, setting alarm
The alarm strategy parameter information in period and fluctuation range obtains alarm cycle and wave after the mark for getting the alarm strategy
The parameter of dynamic range carries out timing according to alarm cycle, and when reaching the time interval of alarm cycle, obtaining from storage unit should
The maximum value and minimum value in monitoring parameter data record within the scope of alarm cycle time interval, and according to maximum value and minimum
Value calculates the undulating value of monitoring parameter, and undulating value is compared with the threshold value that fluctuation range limits, when undulating value is more than fluctuation
When the threshold value that range limits, just alarm.By taking the liquid helium pressure of nuclear magnetic resonance equipment as an example, the specific implementation of the strategy
Such as may is that the liquid helium pressure key parameter setting fluctuation range for certain nuclear magnetic resonance equipment limits alarm strategy, it sets simultaneously
Setting alarm cycle is 30 minutes, fluctuation range 10%, obtains alarm strategy and is judged, is reported when being judged as that fluctuation range limits
It is pithy slightly when, obtain alarm cycle and carry out timing, according to timing result every the abnormality detection of progress in 30 minutes, specially from
Storage unit obtains the maximum value Amax and minimum value Amin of the liquid helium pressure data in this 30 minutes, later by maximum value Amax
Subtraction is done with minimum value Amin, obtaining its absolute value is undulating value, then obtains the corresponding fluctuation of liquid helium pressure of the equipment
Range, upper limit threshold and lower threshold, the fluctuation range threshold value for calculating the liquid helium pressure of the equipment is (upper limit threshold-lower limit
Threshold value) * 10%, then undulating value is compared with fluctuation range threshold value, if undulating value is greater than fluctuation range threshold value, i.e., |
Amax-Amin | > (upper limit threshold-lower threshold) * 10% is alarmed just using the generation moment of maximum value as early-warning point.
Step S302: the liquid helium pressure value and its time of origin of equipment are obtained in real time.
The implementation method of the step is identical as the step S102 in Fig. 1, can refer to and describes above, details are not described herein.
Step S303: different according to whether real-time liquid helium pressure value and pre-set liquid helium pressure alarm threshold decision occur
Often, abnormal data information record is generated according to judging result.
The implementation method of the step can refer to the implementation of step S103, and this will not be repeated here.
Step S304: early warning value judgement is carried out according to alarm strategy, obtains newest early-warning point.
Alarm strategy is obtained, judges whether current exceptional value is early warning value based on alarm strategy, i.e., is sentenced according to alarm strategy
It is disconnected whether to need to carry out step S305 when it is early warning value that judging result, which is current exceptional value, to current abnormal progress early warning,
Remaining emergency maintenance time is calculated to continue when it is non-early warning value that judging result, which is current exceptional value, to next real-time liquid helium
Pressure value carries out above-mentioned anomaly analysis.Wherein, according to alarm strategy judge current exceptional value whether be early warning value specific reality
Existing method can be with are as follows: first according to the device id of current detection, the liquid of current device is obtained from abnormal configuration information database
Helium pressure corresponding alarm strategy, then carries out early-warning point detection according to alarm strategy, judge in current exceptional value whether
There are early warning values.Wherein, the method for obtaining alarm strategy is realized by database manipulation, i.e., configures device id and exception
Device id in information is matched, to get threshold type and alarm strategy, wherein threshold type is corresponding equipment
Corresponding monitoring parameter is liquid helium pressure in the embodiment of the present invention.And the place of corresponding early warning value judgement is carried out according to alarm strategy
Reason executes the pre- of corresponding strategy according to judging result specifically, being judged according to the mark content of the alarm strategy got
Alert value detection processing, includes the following three types situation:
Situation one, if the alarm policy content got is " continuous worsening alarm strategy ", from the liquid of current device
The acquisition same day ends current maximum value in the abnormal data information record of helium pressure, specifically can be traversal in step S303
The abnormal data information of generation records, and obtains the current abnormal data information of current device same day cut-off by database retrieval formula
The maximum value of liquid helium pressure in record.Then judge whether the maximum value is early warning value, if it is early warning value then without
Early warning again, therefore the calculating without remaining emergency maintenance time, if it is non-early warning value, the value is as continuous worsening
Exceptional value, i.e., carry out early warning as early warning value, carry out step S305 at this time, calculate remaining emergency maintenance time.Wherein, judge
Whether repetition of alarms was carried out, and can be the information that will be alarmed every time and all stored, matched when getting maximum value
Judgement is also possible to carry out status indication etc. to the record of alarm.By the way that the same day to be ended to current maximum value and early warning value
It is compared in the implementation of the newest early-warning point of determination, since what is detected every time is all the same day current extreme value, energy
Enough meet the continuous worsening policy mandates for just carrying out early warning, and due to being based on real to abnormal detection and to the judgement of early warning value
When data, therefore, be also able to satisfy the requirement of real-time of abnormal alarm, subtract in the case where uncompromising real-time to realize
Few alarm noise avoids repeatedly calculating the bad of remaining emergency maintenance time.
Situation two, if the mark content of alarm strategy is " period restrictions alarm strategy ", according to setting for current detection
Standby device id obtains the corresponding upper limit threshold of liquid helium pressure, lower threshold and alarm week from abnormal configuration information database
Phase.Newest liquid helium pressure data values at that time are obtained from liquid helium pressure information database according to alarm cycle, according to newest number
Judge whether current device is abnormal according to value and upper limit threshold, lower threshold, in case of exception, just by newest number at that time
It is used as early warning value according to value, carries out step S305, calculates remaining emergency maintenance time.Specifically, after obtaining alarm cycle,
It is carried out abnormality detection based on alarm cycle, i.e., each alarm cycle does an abnormality detection, if liquid helium pressure data at that time
Value is more than that threshold value is judged as exception.For example, getting the liquid helium for the nuclear magnetic resonance equipment that device id is MR_000af77b8aa5
The alarm cycle of pressure is 30, then just reads a liquid helium pressure information database every 30 minutes, is therefrom obtained newest primary
Liquid helium pressure data values, the newest liquid helium pressure data values that will acquire make ratio with upper limit threshold and lower threshold respectively
Compared with if latest data value judges latest data value for early warning value greater than upper limit threshold or less than lower threshold.Wherein every
The calculation of the time interval of alarm cycle, which can be, carries out timing realization by setting timer.
Situation three: if the mark content of alarm strategy is " fluctuation range limits alarm strategy ", match confidence from abnormal
It ceases and obtains the corresponding upper limit threshold of liquid helium pressure value, lower threshold, alarm cycle and fluctuation range in database.According to alarm week
Phase carries out timing, when reaching the time interval of alarm cycle, obtains from liquid helium pressure information database in the alarm cycle time
The maximum value and minimum value of liquid helium pressure in interval, and maximum value and minimum value are made the difference into value and obtain the absolute value of its difference,
Undulating value using the absolute value as liquid helium pressure in alarm cycle time range.After obtaining undulating value, according to the liquid of acquisition
Upper limit threshold, lower threshold and the fluctuation range of helium pressure are calculated by formula (upper limit threshold-lower threshold) * fluctuation range
The fluctuation range threshold value of liquid helium pressure out.Such as obtain the liquid helium for the nuclear magnetic resonance equipment that device id is MR_000af77b8aa5
Alarm cycle, upper limit threshold, lower threshold and the fluctuation range of pressure, are respectively as follows: that alarm cycle is 10, upper limit threshold is
4.95, lower threshold 3.85, fluctuation range 10%.Early warning inspection is thus carried out to it according to the alarm cycle of liquid helium pressure
It surveys, specially just calculated a undulating value every 10 minutes: obtaining the maximum in this 10 minutes in liquid helium pressure information database
Value and minimum value by maximum value-minimum value and take absolute value to obtain undulating value of the liquid helium pressure in this 10 minutes, and incite somebody to action (on
Limit threshold value-lower threshold) * 10% fluctuation range threshold value is obtained, as (4.95-3.85) * 10%.Later, by calculated wave
Dynamic value is compared with fluctuation range threshold value, if undulating value beyond fluctuation range threshold value is greater than, judges currently as early warning
Point calculates remaining emergency maintenance time at this point, carrying out step S305.
Step S305: according to abnormal data information record and preset leakage threshold value, remaining emergency maintenance time is generated.
Wherein, according to the mode of abnormal data information record and preset leakage threshold calculations residue emergency maintenance time
It is to be realized by curve matching.Curve matching can be linear fit or nonlinear fitting, and wherein the embodiment of the present invention is preferably most
The implementation of small square law linear fit, specific implementation can refer to shown in Fig. 2 and describe above, and details are not described herein.This
The difference of the corresponding steps of step and Fig. 1 of inventive embodiments is that this step is to detect early warning according to alarm strategy
It is just carried out when point, and in the selection of input value, the embodiment of the present invention can be abnormal number when will test newest early-warning point
It is believed that input value of the total data in breath record as curve matching, to obtain the i.e. liquid helium pressure of fitting parameter slope v
Rate of change；It is also possible to take near the newest early-warning point detected (as within the scope of 10 minutes before early-warning point or 20 minutes)
Abnormal data records the input value as curve matching, to obtain fitting parameter slope v.Wherein, for continuous worsening alarm
Strategy, the same day ends current maximum value in the exception record detected when being non-early warning value, and maximum of points is newest pre-
Alert point；It alarms for period restrictions tactful, when the value of latest data at that time detected is exceptional value, latest data value point is most
New early-warning point；Alarm strategy is limited for fluctuation range, detects that undulating value is greater than fluctuation range threshold in alarm cycle at that time
When value, the maximum of points in the alarm cycle is newest early-warning point.After the input value of curve matching has been determined, others meter
Calculation process can refer to method shown in Fig. 2 and describe above.
It should be noted that period restrictions alarm strategy in, latest data value be exceptional value the case where, it is also possible to most
New data value is less than the case where lower threshold, and the time of origin of exceptional value can be taken to carry out the choosing of abnormal point nearby in this case
It takes, can also take away from the secondary recent high outlier (value for the case where i.e. exceptional value is greater than upper limit threshold of exceptional value
Point) it is used as newest early-warning point, to obtain the estimation that the exceptional value near high outlier carries out remaining emergency maintenance time.?
In preferred embodiment, period restrictions alarm strategy can only to upper limit threshold is greater than the case where, carry out remaining emergency maintenance time
Estimation.
Step S306: warning message output is generated according to newest early-warning point and the remaining emergency maintenance time of generation.
After obtaining remaining emergency maintenance time, by the information and residue of the newest early-warning point detected according to alarm strategy
Emergency maintenance time, generate warning message output, warning message can be set to include device id, early-warning point liquid helium pressure value
With time of origin, the time revealed threshold value, reach leakage threshold value from newest early-warning point by present trend, and remaining emergency dimension
It repairs the time, also may include other content, such as device name or address etc., the embodiment of the present invention is limited not to this, with
The warning message for facilitating maintenance personal's reading and understanding is preferred implementation.
In this way, can realize that real-time liquid helium pressure value and the alarm strategy based on nuclear magnetic resonance equipment are remained
The estimation of remaining maintenance time, and alarmed after estimating remaining time according to the alarm strategy of user setting.Thus may be used
Accurately to be estimated according to user demand and actual conditions, and by estimation result and alarm to user, with may
Before leaking, advance notice user's remaining time, user is facilitated to take timely measure, avoid losing.Also, the early warning
Artificial observation equipment liquid helium pressure condition is not needed, human cost is solved, improves efficiency.In other embodiments, above-mentioned core
Magnetic resonance equipment can extend to other equipment, and liquid helium pressure can be extended to other monitoring parameters, only need to according to equipment and
The feature of monitoring parameter, is based on above-mentioned basic conception, adaptive change alarm threshold value and bigger endangers threshold value and alarm is tactful
Specific implementation.
In an embodiment of the present invention, it generates warning message output and refers to the liquid helium generated including device identification, early-warning point
The information output of pressure value and its time of origin, leakage threshold value and remaining emergency maintenance time, which, which can be, is output to use
The family page, being also possible to be sent to user by SMS or lettergram mode, (cell-phone number and mail address can be in distribution accounts
Number when typing), can also be and be output to user terminal, which, which for example can be wechat or with the embodiment of the present invention, is
Unite corresponding client end AP P etc..Fig. 4 is schematically showed so that user terminal is wechat as an example and is exported warning message to use
The specific implementation of family terminal, as shown in figure 4, this method comprises:
Step S401: account information is distributed for user, and equipment is associated with account information.
Account information is distributed for each user, and to be assigned with the equipment that the user of account specifies its responsible, can be passed through
The newly-increased account information including username and password of User Page, and be that each account distributes the equipment being associated by the page
ID, being generated later according to page input includes user name-password-device id User Information Database.
Step S402: the account information of user is associated with the wechat of user.
User pays close attention to public platform by wechat, executes bindings by the page that public platform enters system, wherein execute
Bindings include: the system page login system of the username and password that is distributed first by step S401 from public platform, it
Bind request is sent afterwards to system, and system obtains bind request, and parses the user name in bind request, password and wechat
Number, first according to username and password carry out authentication, after being verified, by request account information and user it is micro-
Believe account relating, that is, generating includes user name-password-device id-WeChat ID User Information Database.
Step S403: the warning message of generation is exported to the wechat terminal of relative users.
Later, after generating warning message, the device id that system is just alarmed as needed is obtained from User Information Database
The WeChat ID for taking the user to bind, the warning message of generation is sent in the corresponding wechat terminal of the WeChat ID.
By above step, user can bind the method system of the wechat of oneself and the embodiment of the present invention, thus
It according to the habit of user, sends warning reminding on the common communication tool of user, realizes the timely prompting to user, improve
User experience, efficient quick.
The remaining emergency maintenance time for equipment that Fig. 5 schematically shows a kind of embodiment according to the present invention is estimated
The frame structure of calculation system.As shown in figure 5, the estimating system 1 includes storage unit 10, information collocation module 11, abnormal data
Collection module 12 and remaining emergency maintenance time estimation block 13.Wherein, information collocation module 11 is set for receiving user
Standby monitoring parameter, alarm threshold value and it is bigger endanger threshold value and store to storage unit 10, abnormal data collection module 12 is for obtaining
It takes real time monitoring supplemental characteristic, and according to real time monitoring parameter data values and pre-set alarm threshold value judges whether to occur different
Often, abnormal data information is collected according to judging result, generates abnormal data information record storage to storage unit 10, and residue is answered
Anxious maintenance time estimation block 13 according to abnormal data information record and the preset bigger threshold value generation residue that endangers then for answering
Anxious maintenance time.In the concrete realization, storage unit 10 can be database, is also possible to other storage modes such as file and deposits
Storage system or customized storage organization etc., preference database storage mode of the embodiment of the present invention.User or administrator pass through the page
Setting alarm threshold value and it is bigger endanger threshold value, information collocation module 11, which receives user and inputs, to be stored, and the information of storage includes
Device id, upper limit threshold, lower threshold and bigger endanger threshold value.And abnormal data collection module 12 then obtains monitoring parameter in real time
Data information is compared with alarm threshold value, and is to endanger threshold towards bigger when monitoring parameter data information is more than alarm threshold value
When value direction is developed (such as the bigger threshold value that endangers is to be greater than upper limit threshold at this time as the increase of monitoring parameter data occurs
Abnormal conditions be develop towards bigger threshold value direction of endangering；On the contrary, if the bigger threshold value that endangers is with monitoring parameter data
Reduction occur, at this time less than lower threshold abnormal conditions be develop towards bigger threshold value direction of endangering), obtain the monitoring
Parameter data information generates abnormal data information record storage, and wherein abnormal data information record includes device id, abnormal pass
Bond parameter value and time of origin.Wherein, abnormal data collection module 12 obtains real time critical supplemental characteristic and can be from storage list
It is obtained in member 10 and is also possible to read from equipment in real time, and the real time data in storage unit 10 can be real-time typing,
It can be timing typing, can also be and acquired in real time from equipment.When occur towards it is bigger endanger threshold value direction develop it is different
Chang Shi, remaining emergency maintenance time estimation block 13 obtain abnormal data information record, are calculated by way of curve matching
Remaining emergency maintenance time output, wherein specific calculation can refer to be described above, and details are not described herein for the present embodiment.
System through the embodiment of the present invention, so that it may realize using the real time critical supplemental characteristic of equipment to the monitoring parameter of equipment such as
Remaining emergency maintenance time is estimated and predicted to the deterioration of liquid helium, i.e. current monitor parameter value deteriorates speed according to current
Degree distance reaches the bigger time for endangering threshold value, and calculated result is accurate and processing speed is fast, and efficient, automation may be implemented in advance
It surveys.
Fig. 6 schematically shows that the remaining emergency maintenance time for equipment according to an embodiment of the present invention is pre-
Alert system, as shown in fig. 6, the early warning system 2 is estimated including storage unit 20, parameter setting module 21, remaining emergency maintenance time
Calculate module 22 and alarm module 23.Wherein, parameter setting module 21 is corresponding to set according to demand for receiving user's input
Parameter information, wherein user's setup parameter information may include monitoring parameter, alarm threshold value (including upper limit threshold and lower limit threshold
Value) and it is bigger endanger threshold value, in other embodiments, the parameter information of setting can also include alarm strategy, and the present invention is real
Apply example by only include alarm threshold value and it is bigger endanger threshold value for be illustrated.Parameter setting module 21 receives user to each
After the parameter information of equipment setting, by device id and corresponding parameter information, such as device id, upper limit threshold, lower threshold and
Threshold value is revealed, storage unit 20 is arrived in storage.Later, remaining emergency maintenance time estimation block 22 just obtains real time monitoring parameter value
The processing of remaining emergency maintenance time estimation is carried out, and exports remaining emergency maintenance time after treatment to alarm module 23.Report
For alert module 23 after receiving remaining emergency maintenance time, just to generate include current device id, current key parameter value, bigger
The warning message output of threshold value and remaining emergency maintenance time is endangered, wherein the output, which can be, is output to User Page, can also
To be to be output to short message of mobile telephone of user, it can also be and be output to mail, can also be and be output to leading on the intelligent terminal of user
Interrogate application software.Wherein, remaining emergency maintenance time estimation block 22 obtains real time critical parameter value and carries out remaining emergency maintenance
The specific processing method of time estimation is referred to describe above.
Fig. 7 schematically shows the remaining emergency maintenance time for equipment of another embodiment according to the present invention
Early warning system, using the liquid helium pressure data by acquiring nuclear magnetic resonance equipment in real time, (i.e. equipment is set the embodiment as nuclear magnetic resonance
Standby, monitoring parameter be liquid helium pressure), by user terminal receive warning message for be illustrated, as shown in fig. 7, the system 2
Including information acquisition module 25, user terminal 26 and system platform 24, wherein information acquisition module 25 is set with each nuclear magnetic resonance
Standby 1 is connected, for obtaining the real-time liquid helium pressure data of the output of equipment 1 in real time and its time of origin and uploading to system platform
24, system platform 24 is in communication with each other with user terminal 26, for warning message to be output to user terminal 26.The embodiment of the present invention
In system platform 24 include storage unit 240, parameter setting module 241, remaining emergency maintenance time estimation block 242,
User management module 244, terminal binding module 245 and alarm module 243, parameter setting module 241 is for receiving user's input
Parameter information storage to storage unit 240, including liquid helium pressure alarm threshold value and it is bigger endanger threshold value (i.e. leakage threshold value), it is surplus
The liquid helium pressure information data that remaining emergency maintenance time estimation block 242 is used to be uploaded in real time according to information acquisition module 25 carry out
Analysis processing generates remaining emergency maintenance time output, when alarm module 243 is used for according to facility information and remaining emergency maintenance
Between to generate include that the warning message of device id, current liquid helium pressure value, leakage threshold value and remaining emergency maintenance time is output to use
Family terminal 26.Wherein, remaining emergency maintenance time estimation block 242 includes abnormal data collector unit and time calculating unit
(not shown go out), abnormal data collector unit be used to obtain liquid helium pressure information data that information acquisition module 25 uploads in real time into
Row judges whether to be abnormal, and generates abnormal data information record according to judging result；And time calculating unit is used for basis
The abnormal data information record of generation and preset leakage threshold value generate remaining emergency maintenance time.Abnormal data collector unit
The specific processing method for carrying out abnormal judgement and generating abnormal data information record can refer to be described above, similarly, time meter
The method that unit generates remaining emergency maintenance time is calculated also to be referred to describe above.
In embodiments of the present invention in order to realize that warning message is directly output to user terminal 26 by alarm module 243,
When specifically used, need first to bind user terminal 26 and system platform 24.Specifically, user terminal 26 needs to manage by user
Manage module 244 and terminal binding module 245 and each user device association, specifically: setting user management module 244, with
In distributing account information for user, and be associated with corresponding facility information for the account information of distribution, and terminal binding module is set
245, with the bind request for receiving the transmission of user terminal 3, and according to bind request by user terminal 3 and user management module
The account information association of 244 distribution.User management module 244 be user distribution account information be include username and password,
The account information is generated as User Information Database and is stored in storage unit 240, and the account information of distribution is associated with corresponding
Facility information refer to device id associated with it be set in the corresponding record of user name, to be appointed as its point for each user
The equipment matched carries out accordingly it by specified user in this manner it is possible to which the warning message of equipment to be sent to specified user
Processing, such as maintenance etc..And the bind request that terminal binding module 245 is then sent according to user from its user terminal 3, therefrom
(user needs to input user name and close when carrying out binding by user terminal 3 to the account information and end message for obtaining user
Code), and authentication is carried out according to account information, each user to be tied up with the association of corresponding user terminal 3 when being verified
Fixed, association binding can be the user terminal information that will acquire and be saved in the User Information Database record of relative users,
Such as generate the user information data including the associated user terminal ID database structure of the associated device id-of user name-password-
Library record.System through the embodiment of the present invention, so that it may distribute account information and be that relative users refer to according to demand for user
The equipment of its fixed administration, its common user terminal can also be tied to of the invention real by user according to the convenience of itself later
Under the system platform for applying example offer, to realize the user terminal that warning message is output to binding, user is facilitated to check report at any time
Alert information realizes timely supervision and maintenance to equipment.In this way, alarm module 243 can be according to generation when being abnormal
Abnormal device id finds corresponding user and its user terminal, so that the warning message of generation to be output to the user of the user
The page or user terminal are realized the warning reminding of relevant device being output to designated user.The system of the embodiment of the present invention in this way
The communication for just realizing each equipment and user terminal simultaneously is that monitoring for monitoring parameter value is pre- with remaining emergency maintenance time
Police provides more convenient and fast implementation.Wherein, the specific implementation of the parameter setting module 241 in the embodiment of the present invention can
Referring to describing above, information acquisition module 25 then can realize that the data of acquisition can be by existing data acquisition box
Sensing data is also possible to equipment journal file.
Fig. 8 schematically shows the remaining emergency maintenance time for equipment under another embodiment of the invention
The frame structure of early warning system.As shown in figure 8, the system of the embodiment of the present invention is similar to system shown in Fig. 7, difference is only
It is, the parameter information that parameter setting module is set in the embodiment of the present invention further includes alarm strategy, and the embodiment of the present invention is
It further include that early-warning point obtains module 247, and the information acquisition module 25 of the embodiment of the present invention is set as from connecting therewith in system platform
The device log of storage is obtained on the nuclear magnetic resonance equipment connect, and correspondingly also in system platform in the system of the embodiment of the present invention
Device log parsing module 246 is provided in 24, for parsing to the device log of upload.Equipment in the embodiment
The form of log can be the file being stored in the storage system of equipment itself, be also possible to other forms, as long as
, can be by external device access and utilization as equipment uses for continuous updating and is in extractable state, the present invention
Embodiment is without limitation.Data acquisition module 25 in the embodiment of the present invention can be data acquisition box, directly be arranged
In the equipment for needing to acquire device log, the device log in equipment is read by the data collection function of data acquisition box,
And device log is sent to by system platform 24 by network.System platform 24 can be realized by software programming mode, and portion
Administration (can be and be deployed on cloud server, be also possible on the server for being deployed in hospital local) on the server.System
After platform 24 receives device log by network, device log is stored in storage unit 240 first, later device log solution
Analysis module 246 can traverse the device log of storage unit 240, to parse to device log.Wherein, the method parsed
It can be and the key message needed, such as liquid are extracted by Feature Correspondence Algorithm (such as filtering algorithm based on regular expression)
Helium pressure value and its time of origin (i.e. timestamp) etc., key message can according to need it is customized with the type of equipment, but extremely
It needs to include time of origin and monitoring parameter value less.After parsing key message, extraction key message and the key that will be extracted
Information is remembered according to the data that the minimum index unit of " device id or title-time of origin-monitoring parameter value " is stored as database
Record.And remaining emergency maintenance time estimation block 242 is then by abnormal data collector unit in real time from the monitoring parameter of database
Monitoring parameter value is obtained in real time in information record such as liquid helium pressure information data record and is compared with preset alarm threshold value
Compared with, judge whether to be abnormal according to comparison result, when being abnormal generate abnormal data information record storage, wherein it is different
The abnormal needs stored in regular data information record are towards the bigger exception for endangering threshold value direction and developing.Early-warning point obtains module
It then obtains prediction policy information and is judged (such as when being abnormal or when collecting new real time monitoring supplemental characteristic),
To carry out early warning detection according to alarm strategy, thus under different alarm strategies, according to alarm threshold value, it is bigger endanger threshold value,
Prediction policy information and monitoring parameter data record determine newest early-warning point, and when newest early-warning point has been determined, notify the time
Computing unit carries out the calculating of remaining emergency maintenance time.Time calculating unit is then when having determined newest early-warning point, according to different
Regular data information record and curve-fitting method generate remaining emergency maintenance time and export to alarm module 243.Alarm module 243
To be generated according to newest early-warning point information and remaining emergency maintenance time include device id, newest early-warning point monitoring parameter value and its
Time of origin bigger endangers threshold value and the warning message of remaining emergency maintenance time is exported to user terminal 26.Wherein, early-warning point
The specific implementation process for obtaining module and time calculating unit, is referred to the narration of method part above.In this way, to equipment
The monitoring of monitoring parameter data is analyzed and estimation and early warning to remaining emergency maintenance time, so that it may through the embodiment of the present invention
System carry out, by the data acquisition module in the system of the embodiment of the present invention directly with corresponding equipment connect, acquire equipment
Log carries out log parsing and anomaly analysis by system platform, and calculates remaining emergency dimension under conditions of strategy of alarming meets
It repairs the time and generates warning message and be output to corresponding user terminal, and do not have to subtract by manually judging maintenance time
Few human cost.Moreover, the time estimation of the embodiment of the present invention is according to the threshold value and root for the setting of distinct device situation
Analytical calculation is carried out according to the real-time analysis result of device log, estimation result is more accurate, thus can be greatly by giving warning in advance
Ground avoids losing.
It will be appreciated by persons skilled in the art that outlet terminal in the embodiment of the present invention is with can be only wechat, hand
The one of which of machine short message, mail or client end AP P is also possible to two or more any combination.
It should be noted that the embodiment of the present invention does not limit the mode of the real-time monitoring parameter information data for obtaining equipment
System, no matter by which kind of mode, as long as the real time monitoring supplemental characteristic of equipment can be got, core of the invention design
It is to carry out analytical calculation to the real time monitoring supplemental characteristic got, remaining emergency is predicted based on real time monitoring supplemental characteristic
Maintenance time simultaneously carries out alarm.Each hospital may be implemented in oneself institute in method and system through the embodiment of the present invention
The monitoring and early warning of all Medical Devices can also be realized by a cloud system to each Medical Devices of all hospitals
Monitoring and early warning, it is only necessary to the monitoring parameter information data of each equipment can be obtained, and be it according to the case where each equipment
Be arranged threshold value and alarm strategy, so that it may according to its deterioration and it is bigger endanger threshold value more rapidly and accurately predict its away from
It from reaching the bigger time for endangering threshold value, and can timely and effectively alarm, effectively improve efficiency.
In addition, the method and system of the embodiment of the present invention can also be realized by a kind of electronic device, the electronic device is only
It needs to include storage medium and control unit, the method for realizing the embodiment of the present invention or systematic difference program is stored in and is deposited
In storage media, executing the application program by control unit can be realized the purpose of the present invention.This electronic device for example can be with
Be can carry with the intelligent terminal of executing application (such as smart phone, smartwatch), be also possible to tablet computer
Etc..
Above-described is only some embodiments of the present invention.For those of ordinary skill in the art, not
Under the premise of being detached from the invention design, various modifications and improvements can be made, these belong to protection model of the invention
It encloses.
Claims (10)
1. the remaining emergency maintenance time evaluation method of equipment, comprising:
The monitoring parameter, alarm threshold value and the bigger threshold value that endangers for configuring equipment store；
The monitoring parameter value and its time of origin for obtaining equipment in real time, carry out according to real time monitoring parameter value and the alarm threshold value
The collection of abnormal data；
Remaining emergency maintenance time is generated according to the abnormal data information of collection record and the bigger threshold value that endangers.
2. according to the method described in claim 1, wherein, endangering threshold value life with bigger according to the abnormal data information of collection record
It at remaining emergency maintenance time is realized by way of curve matching.
3. according to the method described in claim 2, wherein, it is described carried out according to real time monitoring parameter value and the alarm threshold value it is different
The collection of regular data includes:
The real time monitoring parameter value that will acquire is compared with alarm threshold value, judges whether the real time monitoring parameter value is trend
In the bigger exceptional value for endangering threshold value direction change, when be judged as be intended to the bigger exceptional value for endangering threshold value direction change when,
According to the exceptional value and its time of origin, abnormal data information record storage is generated.
4. according to the method described in claim 3, wherein, described recorded according to the abnormal data information of collection endangers threshold with bigger
Value generates remaining emergency maintenance time
According to the time of origin of the exceptional value, judge whether the exceptional value is same day cut-off in abnormal data information record
Current extreme value according to the time of origin of the exceptional value, abnormal data information record and bigger endangers threshold when for extreme value
Value, generates remaining emergency maintenance time by way of curve matching；Or
Directly according to the time of origin of the exceptional value, abnormal data information record and it is bigger endanger threshold value, pass through curve matching
Mode generate remaining emergency maintenance time.
5. described according to the exceptional value according to the method described in claim 4, wherein, the curve matching is linear fit
Time of origin, abnormal data information record and it is bigger endanger threshold value, remaining emergency maintenance is generated by way of curve matching
Time includes:
Judge whether not small for record quantity on the same day with the time of origin of the exceptional value in abnormal data information record
In two, if being not less than two, according to the exceptional value and its time of origin recorded in abnormal data information record, by most
Small square law calculates the value of linear fit parameter；
Obtain it is bigger endangers threshold value, according to linear fit parameter and it is bigger endanger threshold value by linear fit formula calculate generate remain
Remaining emergency maintenance time.
6. according to the method described in claim 5, wherein, it is described according to the exceptional value recorded in abnormal data information record and its
Time of origin includes: by the value that least square method calculates linear fit parameter
It obtains from abnormal data information record and is recorded as the information of input data, the information as input data is recorded
In exceptional value as y value, time of origin as x value, by least square method linear fit formula y=v*x+b, calculate tiltedly
The value of rate v and constant b；
It is described according to linear fit parameter and it is bigger endanger threshold calculations and generate remaining emergency maintenance time include:
According to the value of the slope v of acquisition and constant b, threshold value bigger will be endangered as y value, passes through least square method linear fit public affairs
Formula y=v*x+b calculates equipment and reaches the bigger time of origin for endangering threshold value y；
The time of origin for obtaining current exceptional value according to the time of origin of current exceptional value and calculated bigger endangers threshold value y
Time of origin calculate remaining emergency maintenance time.
7. the remaining emergency maintenance time method for early warning of equipment, comprising:
It configures the monitoring parameter of equipment, alarm threshold value, bigger endanger threshold value and the storage of prediction policy information；
The monitoring parameter value and its time of origin for obtaining equipment in real time, are received according to the real time monitoring parameter value and alarm threshold value of acquisition
Collect the abnormal data information storage of monitoring parameter；
The prediction policy information for obtaining monitoring parameter, according to real time monitoring parameter value, alarm threshold value, prediction policy information and collection
The newest early-warning point of abnormal data acquisition of information；
When getting newest early-warning point, according to the abnormal data information of collection record and it is preset it is bigger endanger threshold value generate it is surplus
Remaining emergency maintenance time, and it is defeated according to the remaining emergency maintenance time of generation and the newest early-warning point of acquisition generation warning message
Out.
8. described according to the abnormal data information of collection record and preset bigger according to the method described in claim 7, wherein
Endangering threshold value to generate remaining emergency maintenance time is realized by way of curve matching, comprising:
Judge whether the record in abnormal data information record meets estimation condition, when meeting estimation condition, obtains distance most
Abnormal data within the scope of new early-warning point certain time；
According to the abnormal data within the scope of the newest early-warning point certain time of the distance of acquisition, fitting ginseng is calculated by curve matching
Number；
According to it is preset it is bigger endanger threshold value and calculated fitting parameter, generate remaining emergency maintenance time.
9. method according to claim 7 or 8, wherein the prediction policy information include alarm strategy, alarm cycle and
Fluctuation range, the alarm strategy are that continuous worsening alarm strategy, period restrictions alarm strategy or fluctuation range limit alarm plan
Slightly.
10. according to the method described in claim 8, wherein, the curve matching mode is linear fit, and fitting parameter is slope
V and constant b, the fitting parameter are calculated by least square method.
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| CN201711269825.3A CN109886512B (en) | 2017-12-05 | 2017-12-05 | Residual emergency maintenance time estimation method, residual emergency maintenance time early warning method, residual emergency maintenance time estimation system and residual emergency maintenance time early warning system |
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| CN113408899A (en) | 2021-09-17 |
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