CN108092816A - A kind of equipment running quality method for real-time monitoring - Google Patents
A kind of equipment running quality method for real-time monitoring Download PDFInfo
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- CN108092816A CN108092816A CN201711407683.2A CN201711407683A CN108092816A CN 108092816 A CN108092816 A CN 108092816A CN 201711407683 A CN201711407683 A CN 201711407683A CN 108092816 A CN108092816 A CN 108092816A
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- early warning
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0604—Management of faults, events, alarms or notifications using filtering, e.g. reduction of information by using priority, element types, position or time
- H04L41/0609—Management of faults, events, alarms or notifications using filtering, e.g. reduction of information by using priority, element types, position or time based on severity or priority
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- Computer Networks & Wireless Communication (AREA)
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Abstract
The present invention relates to a kind of equipment running quality method for real-time monitoring, including：Step S1：Receive and parse through the monitoring data of equipment operating parameter；Step S2：Judge whether the operating parameter meets default alarm conditions, and alerted when meeting default alarm conditions；Step S3：According to early warning index in alarm record information calculating cycle；Step S4：If early warning index reaches default early-warning conditions in the cycle, early warning is carried out.Compared with prior art, the present invention carries out real time monitoring analysis to equipment operation, improves equipment safety in operation.
Description
Technical field
The present invention relates to a kind of operation and monitoring method, more particularly, to a kind of equipment running quality method for real-time monitoring.
Background technology
The health degree of equipment state is related to the working effect of this equipment, and for some critical equipment, state is asked
The problem of topic can possibly even cause some secure contexts, the current common method for ensuring equipment running quality such as standard operation,
It inspects periodically, equipment fault analysis etc..
Such as Chinese patent CN 104627769A disclose a kind of elevator safety operation Internet of Things monitoring system, including elevator
Data collection station, maintenance unit monitors divide platform, elevator Internet of Things monitor supervision platform；Elevator data acquisition terminal is installed on elevator
Body, for gathering elevator related data；Maintenance unit monitors divide platform for monitoring the operating condition of corresponding elevator；Elevator object
Networking monitoring platform divides platform to be connected with multiple maintenance unit monitors, for elevator unified monitoring；Elevator data acquisition terminal
Divide platform by the Internet transmission to maintenance unit monitors, maintenance unit monitors divide platform and elevator Internet of Things monitor supervision platform phase
Even.By obtaining the various information of elevator in real time, realize to Elevator Monitoring management, emergency disposal, Risk-warning, fault management,
Maintenance management, statistical analysis, public notification of information etc. meet safety monitor, the needs for examining detection and public service.
However only with the above method, not only process is complicated, cumbersome, it is impossible to obtain comprehensive operating condition, can not grasp and set
Standby performance and changing rule, and cannot be to find out weak link, carry out risk profile, formulate the targetedly precautionary measures, guarantor
Safety and economic operation is demonstrate,proved, complete, reliable foundation is provided.
The content of the invention
It is an object of the present invention to overcome the above-mentioned drawbacks of the prior art and provide a kind of equipment running qualities
Method for real-time monitoring.
The purpose of the present invention can be achieved through the following technical solutions：
A kind of equipment running quality method for real-time monitoring, including：
Step S1：Receive and parse through the monitoring data of equipment operating parameter；
Step S2：Judge whether the operating parameter meets default alarm conditions, and carried out when meeting default alarm conditions
Alarm；
Step S3：According to early warning index in alarm record information calculating cycle；
Step S4：If early warning index reaches default early-warning conditions in the cycle, early warning is carried out.
The step S1 is specifically included：
Step S11：The monitoring data of receiving device operating parameter；
Step S12：It verifies the integrality of the monitoring data of operating parameter, and is solved when the monitoring data of operating parameter are complete
The monitoring data of desorption device operating parameter.
The default alarm conditions, which include soft alert, to transfinite scope and alerts the scope that transfinites firmly, and the step S2 is specifically wrapped
It includes：
When operating parameter be located at soft alarm transfinite in scope but be not located at hard alarm transfinite scope when, carry out soft alarm；
It transfinites in scope and when transfiniting scope positioned at hard alarm when operating parameter is located at soft alarm, is alerted firmly.
The early warning index is specially：
FQI=(M × r × qM+N×r×qN)×100/F
Wherein：FQI is early warning index, and M is alerts number firmly in the statistics phase, r is risk index, qMTo alert weight, N firmly
For soft alarm number, q in the statistics phaseNFor soft alarm number, F is the number of operation in the device statistics phase.
The default early-warning conditions include first order early-warning conditions and second level early-warning conditions,
The step S4 includes：
When early warning index meets first order early-warning conditions in the cycle, first order early warning is carried out,
When early warning index meets second level early-warning conditions, progress second level early warning in the cycle.
The first order early-warning conditions are：
The early warning index of any one month be more than the sum of 3 standard deviations of setting desired value and previous year average or
Continuous bimestrial early warning index be more than the sum of setting desired value and 2 standard deviations of previous year average or
Continuous trimestral early warning index is more than the sum of 1 standard deviation of setting desired value and previous year average；
The second level early-warning conditions are：
The early warning index of any one month be more than the sum of 2 standard deviations of setting desired value and previous year average or
Continuous bimestrial early warning index is more than the sum of 1 standard deviation of setting desired value and previous year average.
Compared with prior art, the invention has the advantages that：
1) real time monitoring analysis is carried out to equipment operation, improves equipment safety in operation.
2) it is horizontal to the operation of equipment operator to carry out comprehensive assessment, operation short slab is found out, promotes operative skill.
3) trend is predicted using big data analysis, enterprise equipment service efficiency.
4) alarm and early warning are combined.On the one hand the single problem of equipment can be alerted, it on the other hand can be right
The equipment to go wrong for a long time carries out early warning.
5) alarm conditions, which include soft alert, transfinites scope and alerts the scope that transfinites firmly, can be to the small and big two kinds of situations that transfinite
Different alarms is provided, different power countermeasures is designed convenient for follow-up business.
6) design of early warning index has merged risk index and soft alarm and the weight alerted firmly, is accused firmly so as to promote him
The alert component in early warning judges identification.
7) early warning is divided into first order early warning and second level early warning, and different power countermeasures is designed convenient for follow-up business.
Description of the drawings
Fig. 1 is the key step flow diagram of the method for the present invention.
Specific embodiment
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.The present embodiment is with technical solution of the present invention
Premised on implemented, give detailed embodiment and specific operating process, but protection scope of the present invention is not limited to
Following embodiments.
A kind of equipment running quality method for real-time monitoring, the parameter information of real-time monitoring equipment in the process of running, passes through
The data storing frequencies of second grade, the obtain equipment working condition of each second in the process of running can be excluded using big data analysis
And potential equipment and operating safety risks are excavated, it makes prediction to some trend sex chromosome mosaicisms, for leader and the peace of relevant department
Full management provides reference.
As shown in Figure 1, including：
Step S1：The monitoring data of equipment operating parameter are received and parsed through, are specifically included：
Step S11：The monitoring data of receiving device operating parameter；
Step S12：It verifies the integrality of the monitoring data of operating parameter, and is solved when the monitoring data of operating parameter are complete
The monitoring data of desorption device operating parameter.
Step S2：Judge whether the operating parameter meets default alarm conditions, and carried out when meeting default alarm conditions
Alarm alerts the scope that transfinites wherein presetting alarm conditions and including the soft scope that transfinites that alerts with hard, and step S2 is specifically included：
When operating parameter be located at soft alarm transfinite in scope but be not located at hard alarm transfinite scope when, carry out soft alarm；
It transfinites in scope and when transfiniting scope positioned at hard alarm when operating parameter is located at soft alarm, is alerted firmly.
Step S3：According to early warning index in alarm record information calculating cycle, early warning index is specially：
FQI=(M × r × qM+N×r×qN)×100/F
Wherein：FQI is early warning index, and M is alerts number firmly in the statistics phase, r is risk index, qMTo alert weight, N firmly
For soft alarm number, q in the statistics phaseNFor soft alarm number, F is the number of operation in the device statistics phase.
By taking parameter " 50 feet long to ground distance " as an example,
Its alert code be 704, event is entitled 50 feet long to ground distance, it is soft warning transfinite scope be more than or equal to
750 meters, hard warning transfinites scope for more than or equal to 900 meters, risk index 60, soft or hard warning weight is respectively 0.1 and 0.9.
Step S4：If early warning index reaches default early-warning conditions in the cycle, early warning is carried out, wherein default early-warning conditions bag
First order early-warning conditions and second level early-warning conditions are included, step S4 includes：
When early warning index meets first order early-warning conditions in the cycle, first order early warning is carried out,
When early warning index meets second level early-warning conditions, progress second level early warning in the cycle.
Specifically, first order early-warning conditions are：
The early warning index of any one month be more than the sum of 3 standard deviations of setting desired value and previous year average or
Continuous bimestrial early warning index be more than the sum of setting desired value and 2 standard deviations of previous year average or
Continuous trimestral early warning index is more than the sum of 1 standard deviation of setting desired value and previous year average；
Second level early-warning conditions are：
The early warning index of any one month be more than the sum of 2 standard deviations of setting desired value and previous year average or
Continuous bimestrial early warning index is more than the sum of 1 standard deviation of setting desired value and previous year average.
Wherein for predetermined target value by business expert according to the mean set of previous year, previous year average is monthly thousand times
Rate and/actually have the moon numbers of thousand rates, standard deviation for thousand rates of upper 1 on monthly, average value；
Monitoring system is designed based on the application method, system module includes：Source data monitoring management, the detailed management of decoding,
Warning Event analysis, riding quality analysis, the key risk monitoring.
Source data monitoring management：By way of wireless transmission, monitor in real time and obtain all in equipment running process
Parameter file information, be data analysis basis,
Decoding management：By the source data file of acquisition into row decoding, the data message that layman can understand is compiled as,
Warning Event is analyzed：By the data after compiling, according to customized early warning rule, occur in identification equipment fortune
Super early warning event,
Riding quality point：The other factors such as analytical equipments operating personnel such as weather, operator's grade of bonding apparatus operation
Operation whether specification, find out the operation for not conforming to specification,
The key risk monitors：The high event of self-defined risk is (common, serious) to carry out key monitoring analysis.
Claims (6)
1. a kind of equipment running quality method for real-time monitoring, which is characterized in that including：
Step S1：Receive and parse through the monitoring data of equipment operating parameter；
Step S2：Judge whether the operating parameter meets default alarm conditions, and alerted when meeting default alarm conditions；
Step S3：According to early warning index in alarm record information calculating cycle；
Step S4：If early warning index reaches default early-warning conditions in the cycle, early warning is carried out.
A kind of 2. equipment running quality method for real-time monitoring according to claim 1, which is characterized in that the step S1 tools
Body includes：
Step S11：The monitoring data of receiving device operating parameter；
Step S12：It verifies the integrality of the monitoring data of operating parameter, and parses and set when the monitoring data of operating parameter are complete
The monitoring data of standby operating parameter.
A kind of 3. equipment running quality method for real-time monitoring according to claim 1, which is characterized in that the default alarm
Condition, which includes soft alert, to transfinite scope and alerts the scope that transfinites firmly, and the step S2 is specifically included：
When operating parameter be located at soft alarm transfinite in scope but be not located at hard alarm transfinite scope when, carry out soft alarm；
It transfinites in scope and when transfiniting scope positioned at hard alarm when operating parameter is located at soft alarm, is alerted firmly.
A kind of 4. equipment running quality method for real-time monitoring according to claim 3, which is characterized in that the early warning index
Specially：
FQI=(M × r × qM+N×r×qN)×100/F
Wherein：FQI is early warning index, and M is alerts number firmly in the statistics phase, r is risk index, qMTo alert weight firmly, N is system
Soft alarm number, q in the meter phaseNFor soft alarm number, F is the number of operation in the device statistics phase.
A kind of 5. equipment running quality method for real-time monitoring according to claim 4, which is characterized in that the default early warning
Condition includes first order early-warning conditions and second level early-warning conditions,
The step S4 includes：
When early warning index meets first order early-warning conditions in the cycle, first order early warning is carried out,
When early warning index meets second level early-warning conditions, progress second level early warning in the cycle.
6. a kind of equipment running quality method for real-time monitoring according to claim 5, which is characterized in that
The first order early-warning conditions are：
The early warning index of any one month be more than the sum of 3 standard deviations of setting desired value and previous year average or
Continuous bimestrial early warning index be more than the sum of setting desired value and 2 standard deviations of previous year average or
Continuous trimestral early warning index is more than the sum of 1 standard deviation of setting desired value and previous year average；
The second level early-warning conditions are：
The early warning index of any one month be more than the sum of 2 standard deviations of setting desired value and previous year average or
Continuous bimestrial early warning index is more than the sum of 1 standard deviation of setting desired value and previous year average.
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| CN201711407683.2A CN108092816A (en) | 2017-12-22 | 2017-12-22 | A kind of equipment running quality method for real-time monitoring |
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| CN201711407683.2A CN108092816A (en) | 2017-12-22 | 2017-12-22 | A kind of equipment running quality method for real-time monitoring |
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| CN110567515A (en) * | 2019-08-26 | 2019-12-13 | 珠海格力电器股份有限公司 | Fault early warning method and device and intelligent building control system |
| CN112783102A (en) * | 2019-11-06 | 2021-05-11 | 中国石油化工股份有限公司 | Memory, refining device operation risk early warning method, system and device |
| US11329863B1 (en) * | 2021-10-18 | 2022-05-10 | Amdocs Development Limited | System, method, and computer program for dynamic prioritization of monitoring system related alerts |
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Application publication date: 20180529 |