CN110006484A - A kind of monitoring method and device of boiler fluctuation status - Google Patents
A kind of monitoring method and device of boiler fluctuation status Download PDFInfo
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Abstract
The present invention is suitable for boiler monitoring technical field, provides the monitoring method and device of a kind of boiler fluctuation status, this method comprises: operating normally the first amplitude of data acquisition mean value according to boilerAccording to boiler misoperation data acquisition the second amplitude mean valueAccording to the first amplitude mean valueWith the second amplitude mean valueObtain unusual fluctuations frequency domain amplitude confidence interval σ；Mean amplitude of tide is obtained according to the boiler real-time running data monitoredAccording to mean amplitude of tideFirst amplitude mean valueAnd unusual fluctuations frequency domain amplitude confidence interval σ judges boiler fluctuation status.Pass through mean amplitude of tideFirst amplitude mean valueAnd unusual fluctuations frequency domain amplitude confidence interval σ determines boiler fluctuation status, so that by the normal fluctuation of boiler operatiopn and unusual fluctuations, intuitively quantization is come out inside frequency domain, convenient for quickly recognizing whether boiler operatiopn is in unusual fluctuations state.
Description
Technical field
The invention belongs to boiler exam technical field more particularly to a kind of monitoring methods and device of boiler fluctuation status.
Background technique
Boiler is a kind of energy conversion, and the energy inputted to boiler has chemical energy, electric energy in fuel, and boiler is defeated
The steam, high-temperature water or organic heat carrier for providing certain thermal energy, now use in a variety of industrial occasions.Firstly, in existing,
The typically no progress efficient remote monitoring of miniature boiler, can only rely on artificial tours of inspection, cannot understand the operation of boiler in time
State.The burning and stopping of boiler are generally controlled by pressure switch, since pressure switch is generally mechanical switch, are used for a long time
Afterwards, it may appear that intermittent insensitive phenomenon keeps the steam pressure in boiler excessively high, safety valve is caused to be beated, due to pressure drop
After low, safety valve restores position automatically, and when such as safety valve bounce, scene can not just find that the intermittence is existing without personnel in time
As being unfavorable for early early avoid that scent a hidden danger.Also, it to run boiler health, during production operations, needs to boiler
The maintenance operation of rule is carried out, such as timing carries out upper blowdown and down blow to boiler, do not carry out to the time of blowdown operation
Record is not likely to result in operator often because busy, forgetting or different shift staff join carelessness etc., not to pot
Furnace strict implement maintenance operation as required, makes the actual life of boiler lower than projected life.
Secondly, water quality is affected to boiler, when the impurity in water quality is more, it is easy the structure on boiler inner wall,
And then vicious circle is formed, the service life of boiler can be also reduced, existing boiler water quality detection majority also relies on artificial regular
It is detected using reagent method, larger workload, real-time monitoring can not be carried out, and be easy to forget.And it is existing generally only to pay attention to
Water quality detection in boiler, and the water quality situation in clarifier-tank is had ignored, it is unfavorable for boiler operatiopn.
The Industrial Boiler in current China is there are numerous deficiencies, such as mechanization and the degree of automation is low, low efficiency, energy consumption
It is high, seriously polluted, meanwhile, the universal quality of boiler operator is not high, lacks a sense of responsibility, to the dynamic such as pressure, temperature, water level
The monitoring of parameter is not tight, is also easy to produce boiler breakdowns.From the point of view of existing regulatory measure, since Industrial Boiler capacity is small, quantity
Greatly, it layouts dispersion, it is difficult to which centralized supervisory, the essential information and energy-saving safe dynamic of all Industrial Boilers in regional scope are supervised
Pipe data are difficult to obtain, this brings certain difficulty to more fully safety monitor and energy consumption monitoring.
Judge whether the Normal practice of energy-saving run is live efficiency test to boiler at present.Service organization is according to test feelings
Condition outputs medical certificate, proposes boiler efficiency Promotion Transformation scheme.Since boiler operatiopn is dynamic process, debugs and improve through efficiency
Boiler afterwards after running for a period of time, and will appear the case where Energy Efficiency Ratio declines.Boiler is allowed to keep optimum operation shape for a long time
State must just reinforce the monitoring of day-to-day operation situation, handle and adjust the method for operation at any time.In addition, efficiency detection work is usual
Using artificial on-the-spot record data, there can be situations such as data record is discontinuous, imperfect, it is difficult to effectively acquisition boiler operatiopn
Dynamic data.
In addition, the Industrial Boiler product that China is formed at present seldom configures more complete field monitoring instrument, especially
It is some to be related to the key parameter of efficiency, such as oxygen content in exhaust smoke, exhaust gas temperature, a large amount of coal-burning boilers even even steam stripping temperature etc.
Conventional parameter can not all be shown.The shortage of field instrument causes fireman that can not really grasp the operating condition of boiler, Bu Nengji
When adjust boiler combustion so that the thermal efficiency is lower than design value for a long time.
Boiler operatiopn state remote supervision system based on technology of Internet of things is the important technology to solve the above problems
Scheme.By installation sensor, or the existing sensor of boiler is utilized, by the real-time status parameter acquisition of Industrial Boiler, analysis
It calculates, on the one hand carries out being encoded and transmitted to remote management platform, statisticallyd analyze further directed to safety and energy efficiency indexes, and
The operation feelings of boiler are monitored to government organs, using the real-time dynamic release such as unit, manufacturer using internet as carrier
Condition；On the other hand boiler real-time status parameter is shown to the stoker personnel of execute-in-place boiler by interactive man-machine interface, and
Effective suggestion of boiler safety and power-save operation is provided, stoker personnel is instructed targetedly to find the problem, optimization boiler fortune
Row, makes boiler keep optimum state for a long time.
Further, boiler is industry and civilian indispensable powering device, and safe operation is related to enterprise's peace
Full production and resident living.In use, will receive various internal and external factors influences boiler, and boiler plant is caused to occur
Various problems.Veteran engineer analyzes the failure that boiler occurs according to boiler operatiopn data, but this relies primarily on engineering
The time of teacher's individual skill level and cost is also longer；In addition, the data of boiler system various pieces have correlation, it is normal to transport
The data of various pieces are fluctuated in reasonable normal range (NR) when row, when in the event of failure, boiler corresponding portion operation data meeting
There is unusual fluctuations, this experienced relatively good identification of operator of fluctuation, but how to go to quantify and detect this fluctuation
Always difficult point.
To solve how to go to quantify and detect the difficult point of this fluctuation in current technology, it is necessary to propose a kind of new pot
The monitoring method of furnace fluctuation status.
Summary of the invention
In view of this, the present invention provides a kind of monitoring method of boiler fluctuation status, to solve to be difficult in the prior art
The problem of detecting boiler operatiopn state.
The first aspect of the embodiment of the present invention provides a kind of monitoring method of boiler fluctuation status, comprising:
The first amplitude of data acquisition mean value is operated normally according to boiler
According to boiler misoperation data acquisition the second amplitude mean value
According to the first amplitude mean valueWith the second amplitude mean valueObtain unusual fluctuations frequency domain amplitude confidence area
Between σ；
Mean amplitude of tide is obtained according to the boiler real-time running data monitored
According to the mean amplitude of tideFirst amplitude mean valueAnd unusual fluctuations frequency domain amplitude confidence interval σ judges pot
Furnace fluctuation status.
The second aspect of the embodiment of the present invention provides a kind of monitoring device of boiler fluctuation status, comprising:
First amplitude obtains module, for operating normally the first amplitude of data acquisition mean value according to boiler
Second amplitude obtains module, for according to boiler misoperation data acquisition the second amplitude mean value
Confidence interval obtains module, for according to the first amplitude mean valueWith the second amplitude mean valueIt obtains
Unusual fluctuations frequency domain amplitude confidence interval σ；
Mean amplitude of tide obtains module, for obtaining mean amplitude of tide according to the boiler real-time running data monitored
Boiler fluctuation status judgment module, for according to the mean amplitude of tideFirst amplitude mean valueAnd extraordinary wave
Dynamic frequency domain amplitude confidence interval σ judges boiler fluctuation status.
The third aspect of the embodiment of the present invention provides a kind of terminal device, including memory, processor and is stored in
In the memory and the computer program that can run on the processor, which is characterized in that described in the processor executes
The step of monitoring method of above-mentioned boiler fluctuation status is realized when computer program.
The fourth aspect of the embodiment of the present invention provides a kind of computer readable storage medium, described computer-readable to deposit
Storage media is stored with computer program, and the computer program realizes the prison of above-mentioned boiler fluctuation status when being executed by processor
The step of survey method.
Existing beneficial effect is the embodiment of the present invention compared with prior art: existing Diagnostic System for Boiler is mainly
According to boiler raw operational data, rule of thumb analyzed and determined by boiler maintenance personnel.Emphasis of the invention is by flat
Equal amplitudeFirst amplitude mean valueAnd unusual fluctuations frequency domain amplitude confidence interval σ determines boiler fluctuation status, thus will
Intuitively quantization comes out inside frequency domain for the normal fluctuation of boiler operatiopn and unusual fluctuations, does for boiler diagnosis and remote maintenance
Basis.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, embodiment or the prior art will be retouched below
Attached drawing needed in stating is briefly described, it should be apparent that, the accompanying drawings in the following description is only of the invention one
A little embodiments for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other attached drawings.
Fig. 1 is the flow chart of the monitoring method of boiler fluctuation status provided in an embodiment of the present invention；
Fig. 2 is the exemplary diagram that boiler of the embodiment of the present invention operates normally data or boiler misoperation data；
Fig. 3 is the exemplary diagram of the first frequency domain data or the second frequency domain data provided in an embodiment of the present invention；
Fig. 4 is the structural schematic diagram of the monitoring device of boiler fluctuation status provided in an embodiment of the present invention；
Fig. 5 is the structural schematic diagram of terminal device provided in an embodiment of the present invention.
Specific embodiment
In being described below, for illustration and not for limitation, the monitoring side of such as specific boiler fluctuation status is proposed
The detail of method, technology etc, to understand thoroughly the embodiment of the present invention.However, those skilled in the art should be clear
The present invention also may be implemented in Chu in the other embodiments without these details.In other situations, it omits to many institutes
The detailed description of the monitoring method of known boiler fluctuation status, in case unnecessary details interferes description of the invention.
In addition, to make the object, technical solutions and advantages of the present invention clearer, below in conjunction with specific embodiment and
Technical solution of the present invention is clearly and completely described in corresponding attached drawing.Obviously, described embodiment is only this hair
Bright a part of the embodiment, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art exist
Every other embodiment obtained under the premise of creative work is not made, shall fall within the protection scope of the present invention.
In order to illustrate technical solutions according to the invention, the following is a description of specific embodiments.
Boiler is industry and civilian indispensable powering device, safe operation be related to enterprise safety operation with
And resident living.In use, will receive various internal and external factors influences boiler, and boiler plant is caused various problems occur.
Veteran engineer analyzes the failure that boiler occurs according to boiler operatiopn data, but this relies primarily on engineer individual's skill
The time of art level and cost is also longer.The present invention proposes a kind of monitoring method of boiler fluctuation status, by boiler operatiopn data
Frequency domain is converted to from time domain, to quantify boiler normal operation and the data segment due to boiler failure unusual fluctuations out, realization pair
Boiler failure is quick, is accurately positioned.
Fig. 1 is a kind of flow chart of the monitoring method of boiler fluctuation status provided in an embodiment of the present invention.As shown in Figure 1,
The monitoring method of boiler fluctuation status provided in an embodiment of the present invention includes the following steps:
S1: data are operated normally according to boiler and obtain the first amplitude mean value
S2: the second amplitude mean value is obtained according to boiler misoperation data
S3: according to the first amplitude mean valueWith the second amplitude mean valueShow that unusual fluctuations frequency domain amplitude is set
Believe section σ；
S4: mean amplitude of tide is obtained according to the boiler real-time running data monitored
S5: according to the mean amplitude of tideFirst amplitude mean valueAnd unusual fluctuations frequency domain amplitude confidence interval σ sentences
Determine boiler fluctuation status.
Existing Diagnostic System for Boiler is mainly according to boiler raw operational data, rule of thumb by boiler maintenance personnel
It is analyzed and determined.The emphasis of the embodiment of the present invention is to convert frequency by time domain for boiler operatiopn data by Fourier transformation
Domain can only diagnose so that simply quantization comes out inside frequency domain by the normal fluctuation of boiler operatiopn and unusual fluctuations for boiler
Basis is done with remote maintenance.
The monitoring method of the boiler fluctuation status of the embodiment of the present invention by the historical data that is operated normally according to boiler and
Operation data under abnormality calculates unusual fluctuations frequency domain amplitude confidence interval σ, then real further according to the boiler monitored
When operation data obtain mean amplitude of tideObtain boiler when the last period runing time according to real-time monitoring boiler operatiopn data
Mean amplitude of tideFinally according to mean amplitude of tideFirst amplitude mean valueAnd unusual fluctuations frequency domain amplitude confidence interval σ
Boiler fluctuation status is intuitively determined, so that the normal fluctuation of boiler operatiopn and unusual fluctuations is simple inside frequency domain
Quantization comes out, and does basis for boiler diagnosis and remote maintenance.
In a specific embodiment, in step sl, boiler normal operation data are converted into the first frequency domain data,
The first amplitude mean value is obtained according to first frequency domain dataFrequency domain is converted to from time domain to which boiler is operated normally data,
It realizes and quantifies boiler normal operation and the data segment due to boiler failure unusual fluctuations out, realize quick to boiler failure, accurate
Positioning.In step s 2, boiler misoperation data are converted into the second frequency domain data, obtain according to the second frequency domain data
Two amplitude mean valuesI.e. to which boiler misoperation data are equally converted to frequency domain from time domain, quantify boiler out to realize
Operate normally and due to boiler failure unusual fluctuations data segment, realize to the monitoring of boiler failure quickly, be accurately positioned.Please
Refering to Fig. 3, in this example, when boiler normal operation data are converted to the first frequency domain data, and by boiler misoperation
When data are converted to the second frequency domain data, Fourier transformation method can be used, detailed process referring to being described in detail hereinafter.When
So, in other embodiments, operation data can also be converted into frequency domain data by other means, herein with no restrictions.
In a specific embodiment, unusual fluctuations frequency domain amplitude confidence interval σ and the second amplitude mean valueAbsolute value
With the first amplitude mean valueAbsolute value difference be in multiple relationship.In embodiments of the present invention, unusual fluctuations frequency domain amplitude
Confidence intervalSo as to show that unusual fluctuations frequency domain shakes according to the first amplitude mean value and the second amplitude mean value
Width confidence interval, convenient for quickly and accurately monitoring boiler failure.
The data of boiler system various pieces have a correlation, and the data of various pieces are reasonably just when normal operation
Fluctuation in normal range, when in the event of failure, boiler corresponding portion operation data will appear unusual fluctuations, this fluctuation is experienced
The relatively good identification of operator, but how to go to quantify and detect this fluctuation to be always difficult point.The present invention is by boiler operatiopn number
It is analyzed according to frequency domain is converted by time domain, to normal fluctuation and unusual fluctuations by the difference of amplitude in frequency domain come automatic, fast
Speed identifies unusual fluctuations data.
Tradition, usually from hardware, analyzes the frequency of trouble unit when boiler does accident analysis with spectrum analysis
Spectrum needs boiler maintenance personnel to go to carry out boiler attendance to scene in this way, takes time and effort.
Spectrum analysis is acted on the collected operation data of boiler by the embodiment of the present invention, by operation data in frequency domain
In atlas analysis boiler operatiopn it is whether normal, the analysis and fault diagnosis of long-range boiler data may be implemented in this way, overcome
It in the prior art must be by there is experience when the fluctuation and/or operation for analyzing boiler are in normal condition or abnormality
Operator dependence, having reached can intuitively, quickly and accurately identify that the fluctuation of boiler and/or operation are in
Normal condition or abnormality.
In a specific embodiment, in step s 5, when judging boiler fluctuation status, work as mean amplitude of tideThen confirm that boiler is in abnormality；When mean amplitude of tide is not in the range, then confirm at boiler
In normal operating conditions, taken appropriate measures convenient for subsequent according to the different judging results of boiler fluctuation status.
In a specific embodiment, boiler normal operation data are converted to by the first frequency using Fourier transformation method
Numeric field data；And/or boiler misoperation data are converted to by the second frequency domain data using Fourier transformation method.Fourier becomes
It is as follows to change principle:
Wherein, F (ω) indicates that the function of frequency domain, f (t) indicate the function of time domain.
F (t) and e-iωtWhen seeking inner product, only in time-domain function frequency be ω component just have inner product as a result,
The inner product of remaining component is 0.I.e. f (t) is in e-iωtOn projection, integral is infinite to just infinite from bearing, when being exactly that signal is each
Between stack up in the component of ω, the result of superposition forms map, and map horizontal axis is frequency, and the longitudinal axis is amplitude.In frequency domain
In, become the set of different sine wave freuqency values to the description of waveform.Each frequency component has relevant amplitude and phase
Position, is collectively referred to as the collection of all these frequency values and its range value the frequency spectrum of waveform.
In a specific embodiment, boiler misoperation data are voltage or the data that temperature changes over time；Boiler
Operate normally the data that data are similarly voltage or temperature changes over time.In the present embodiment, as shown in Fig. 2, boiler operatiopn
Data (operating normally data including boiler misoperation data and boiler) are the function that voltage changes over time, i.e. boiler is transported
Row data (including boiler misoperation data and boiler operate normally data) are time domain data.
Frequency domain data will be converted to by Fourier transformation for the boiler operatiopn data of time domain data, thus realize by
The first frequency domain data that boiler operates normally data conversion becomes amplitude data varying with frequency, and boiler is transported extremely
Second frequency domain data of row data conversion becomes amplitude data varying with frequency.In a specific embodiment, such as Fig. 2 and
Shown in Fig. 3, the time domain data that Fourier transformation changes over time voltage is converted into amplitude frequency domain data varying with frequency.
The data such as the data generated under boiler normal operation, such as pressure, temperature are not one fixed
Numerical value, but fluctuated in a certain zone of reasonableness, this fluctuation belongs to that normal phenomenon of equipment operation.Work as boiler plant
When failure, unusual fluctuations phenomenon is can be found that from its relevant portion operation data, those skilled in the art rule of thumb judge
Fluctuation is normal fluctuation or unusual fluctuations, if it is decided that is then unusual fluctuations carry out failure reason analysis to corresponding position.
Boiler time domain operation data is converted into frequency domain data with Fourier transformation, it, can be with by observing the amplitude variations of data segment
Quickly distinguish whether the fluctuation that boiler occurs is reasonable phenomenon, this quantization can be subsequent realization boiler failure remote analysis
It provides strong support with intelligent diagnostics.
Now a specific embodiment of the embodiment of the present invention is described in detail, the embodiment of the present invention is to make
The present invention is clearer, is not intended to limit the present invention.
Boiler operatiopn data by Fourier transformation method are converted to frequency-domain analysis by time-domain analysis, and steps are as follows:
(1) access time window T, boiler operatiopn data are analyzed as unit of the first data window T.
(2) data of each data window are converted into frequency domain F (ω), frequency domain by time domain f (t) with Fourier transformation
For data using frequency as horizontal axis, amplitude is the longitudinal axis；
(3) boiler is chosen according to time window T and operates normally data f (t1), frequency domain data is to obtain F (ω1), it calculates
The amplitude mean value that the mean amplitude of tide of frequency domain data obtains frequency domain data in the window is
(4) boiler misoperation data f (t is chosen according to time window T2), frequency domain data is to obtain F (ω2), it calculates
The amplitude mean value that the mean amplitude of tide of frequency domain data obtains frequency domain data in the window is
(5) unusual fluctuations frequency domain amplitude confidence interval σ is set, wherein
(6) boiler misoperation monitoring can be set according to step (5), pot is monitored with time window T at teledata end
Furnace operation data, by Fourier transformation by the boiler operatiopn data conversion of real-time monitoring at frequency domain data, according to frequency domain data
Obtain boiler when the mean amplitude of tide of the last period runing timeWhen the mean amplitude of tide of data of the boiler in frequency domainWhen, indicate boiler unusual fluctuations；Otherwise, it means that the fluctuation of boiler is in normal operation range
Fluctuation.
The embodiment of the present invention is frequency domain to be converted by time domain for boiler operatiopn data, thus by pot by Fourier transformation
Simply quantization comes out inside frequency domain for the normal fluctuation of furnace operation and unusual fluctuations, for boiler diagnosis and remote maintenance.To
It overcomes in the prior art when in the event of failure, boiler corresponding portion operation data will appear unusual fluctuations, this fluctuation has experience
The relatively good identification of operator, but how to go to quantify and detect the defect that this fluctuation is always difficult point.The present invention is by pot
Furnace operation data is converted into frequency domain by time domain and is analyzed, the difference for passing through amplitude in frequency domain to normal fluctuation and unusual fluctuations
Automatically, unusual fluctuations data are quickly recognized.
Referring to Fig. 4, the purpose of the embodiment of the present invention, which also resides in, provides a kind of monitoring device 1 of boiler fluctuation status, packet
It includes the first amplitude and obtains module 10, the second amplitude acquisition module 20, confidence interval acquisition module 30, mean amplitude of tide acquisition module
40 and boiler fluctuation status judgment module 50.Wherein the first amplitude obtains module 10 and is used to operate normally data according to boiler
Obtain the first amplitude mean valueSecond amplitude obtains module 20 for equal according to boiler misoperation the second amplitude of data acquisition
ValueConfidence interval obtains module 30 and is used for according to the first amplitude mean valueWith the second amplitude mean valueObtain unusual fluctuations frequency
Domain amplitude confidence interval σ, mean amplitude of tide obtain module 40 and are used to obtain average vibration according to the boiler real-time running data monitored
WidthBoiler fluctuation status judgment module 50 is used for according to mean amplitude of tideFirst amplitude mean valueAnd unusual fluctuations frequency
Domain amplitude confidence interval σ judges boiler fluctuation status.
In one embodiment, boiler, which operates normally data, can be the historical data of boiler normal operation, the first amplitude
The first frequency domain data can be converted to for boiler normal operation data using Fourier transformation method by obtaining module 10, according to this
First frequency domain data obtains the first amplitude mean valueSecond amplitude, which obtains module 20, to use Fourier transformation method by pot
Furnace misoperation data are converted to the second frequency domain data, obtain the second amplitude mean value according to second frequency domain dataBoiler
It operates normally data and boiler misoperation data can be voltage or the data that temperature changes over time.
Fourier transform principle is as follows:
Wherein, F (ω) indicates that the function of frequency domain, f (t) indicate the function of time domain.
F (t) and e-iωtWhen seeking inner product, only in time-domain function frequency be ω component just have inner product as a result,
The inner product of remaining component is 0.I.e. f (t) is in e-iωtOn projection, integral is infinite to just infinite from bearing, when being exactly that signal is each
Between stack up in the component of ω, the result of superposition forms map, and map horizontal axis is frequency, and the longitudinal axis is amplitude.In frequency domain
In, become the set of different sine wave freuqency values to the description of waveform.Each frequency component has relevant amplitude and phase
Position, is collectively referred to as the collection of all these frequency values and its range value the frequency spectrum of waveform.
In a specific embodiment, confidence interval acquisition module 30 can be equal according to the first amplitude mean value and the second amplitude
When value obtains unusual fluctuations frequency domain amplitude confidence interval σ, i.e.,Convenient for quickly and accurately monitoring boiler failure.
In one embodiment, the monitoring device of boiler fluctuation status further includes that operation data obtains module, for obtaining
The real-time running data of boiler, mean amplitude of tide obtain module 40 and then obtain mean amplitude of tide according to real-time running data
In one embodiment, boiler fluctuation status judgment module 50 works as mean amplitude of tide when judging boiler fluctuation statusThen confirm that boiler is in abnormality；When mean amplitude of tide is not in the range, then confirm at boiler
In normal operating conditions, taken appropriate measures convenient for subsequent according to the different judging results of boiler fluctuation status.
Fig. 5 is a kind of schematic diagram for terminal device that one embodiment of the invention provides.As shown in figure 5, the end of the embodiment
End equipment 6 includes: processor 60, memory 61 and is stored in the calculating that can be run in memory 61 and on processor 60
Machine program 62, such as the monitoring program of boiler fluctuation status.Processor 60 realizes above-mentioned each pot when executing computer program 62
Step in the monitoring method embodiment of furnace fluctuation status, such as step S1 shown in FIG. 1 to step S5.Alternatively, processor 60
The function of each module/unit in above-mentioned each Installation practice, such as module 10 shown in Fig. 4 are realized when executing computer program 62
To 50 function.
Illustratively, computer program 62 can be divided into one or more module/units, one or more mould
Block/unit is stored in memory 61, and is executed by processor 60, to complete the present invention.One or more module/units
It can be the series of computation machine program instruction section that can complete specific function, the instruction segment is for describing computer program 62
Implementation procedure in terminal device 6.
Terminal device 6 can be desktop PC, notebook, palm PC and cloud server etc. and calculate equipment.Eventually
End equipment 6 may include, but be not limited only to, processor 60, memory 61.It will be understood by those skilled in the art that Fig. 5 is only whole
The example of end equipment 6 does not constitute the restriction to terminal device 6, may include components more more or fewer than diagram, or
Certain components or different components are combined, such as the terminal device can also include input-output equipment, network insertion
Equipment, bus etc..
Alleged processor 60 can be central processing unit (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic device
Part, discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processing
Device etc..
Memory 61 can be the internal storage unit of terminal device 6, such as the hard disk or memory of terminal device 6.Storage
Device 61 is also possible to the plug-in type hard disk being equipped on the External memory equipment of terminal device 6, such as terminal device 6, intelligent storage
Block (Smart Media Card, SMC), secure digital (Secure Digital, SD) card, flash card (Flash Card) etc..
Further, memory 61 can also both including terminal device 6 internal storage unit and also including External memory equipment.Storage
Device 61 is for other programs and data needed for storing computer program and terminal device 6.Memory 61 can be also used for temporarily
When store the data that has exported or will export.
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by difference
Functional unit, module complete, i.e., the internal structure of described device is divided into different functional unit or module, with complete
All or part of function described above.Each functional unit in embodiment, module can integrate in a processing unit
In, it is also possible to each unit and physically exists alone, can also be integrated in one unit with two or more units, on
It states integrated unit both and can take the form of hardware realization, can also realize in the form of software functional units.In addition,
Each functional unit, module specific name be also only for convenience of distinguishing each other, the protection model being not intended to limit this application
It encloses.The specific work process of unit in above system, module, can refer to corresponding processes in the foregoing method embodiment,
This is repeated no more.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, is not described in detail or remembers in some embodiment
The part of load may refer to the associated description of other embodiments.
Those of ordinary skill in the art may be aware that described in conjunction with the examples disclosed in the embodiments of the present disclosure
Unit and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions
It is implemented in hardware or software actually, the specific application and design constraint depending on technical solution.Professional technique
Personnel can use different methods to achieve the described function each specific application, but this realization should not be recognized
It is beyond the scope of this invention.
In embodiment provided by the present invention, it should be understood that disclosed device/terminal device and method, it can be with
It realizes by another way.For example, device described above/terminal device embodiment is only schematical, for example,
The division of the module or unit, only a kind of logical function partition, there may be another division manner in actual implementation,
Such as multiple units or components can be combined or can be integrated into another system, or some features can be ignored, or not hold
Row.Another point, shown or discussed mutual coupling or direct-coupling or communication connection can be to be connect by some
Mouthful, the INDIRECT COUPLING or communication connection of device or unit can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, as unit
The component of display may or may not be physical unit, it can and it is in one place, or may be distributed over more
In a network unit.Some or all of unit therein can be selected to realize this embodiment scheme according to the actual needs
Purpose.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated module/unit is realized in the form of SFU software functional unit and sells as independent product
Or it in use, can store in a computer readable storage medium.Based on this understanding, the present invention realizes above-mentioned
All or part of the process in embodiment method can also instruct relevant hardware to complete by computer program, described
Computer program can be stored in a computer readable storage medium, which, can be real when being executed by processor
The step of existing above-mentioned each embodiment of the method.Wherein, the computer program includes computer program code, the computer
Program code can be source code form, object identification code form, executable file or certain intermediate forms etc..The computer
Readable medium may include: any entity or device, recording medium, USB flash disk, the shifting that can carry the computer program code
Dynamic hard disk, magnetic disk, CD, computer storage, read-only memory (ROM, Read-Only Memory), random access memory
Device (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It needs to illustrate
, content that the computer-readable medium includes can according to make laws in jurisdiction and the requirement of patent practice into
Row increase and decrease appropriate, such as do not include electricity according to legislation and patent practice, computer-readable medium in certain jurisdictions
Carrier signal and telecommunication signal.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although referring to aforementioned reality
Applying example, invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features；And these are modified
Or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of monitoring method of boiler fluctuation status, which is characterized in that the monitoring method of the boiler fluctuation status includes:
The first amplitude of data acquisition mean value is operated normally according to boiler
According to boiler misoperation data acquisition the second amplitude mean value
According to the first amplitude mean valueWith the second amplitude mean valueObtain unusual fluctuations frequency domain amplitude confidence interval σ；
Mean amplitude of tide is obtained according to the boiler real-time running data monitored
According to the mean amplitude of tideFirst amplitude mean valueAnd unusual fluctuations frequency domain amplitude confidence interval σ judges boiler wave
Dynamic state.
2. the monitoring method of boiler fluctuation status as described in claim 1, which is characterized in that described to be operated normally according to boiler
Data acquisition the first amplitude mean valueStep includes:
Boiler normal operation data are converted into the first frequency domain data, wherein first frequency domain data is amplitude with frequency
The data of variation；
The first amplitude mean value is obtained according to first frequency domain data
3. the monitoring method of boiler fluctuation status as described in claim 1, which is characterized in that described according to boiler misoperation
Data acquisition the second amplitude mean valueStep includes:
The boiler misoperation data are converted into the second frequency domain data, wherein second frequency domain data is amplitude with frequency
The data of variation；
The second amplitude mean value is obtained according to second frequency domain data
4. the monitoring method of boiler fluctuation status as claimed any one in claims 1 to 3, which is characterized in that the basis
The first amplitude mean valueWith the second amplitude mean valueIt obtains in unusual fluctuations frequency domain amplitude confidence interval σ step,
5. the monitoring method of boiler fluctuation status as described in claim 1, which is characterized in that described according to the mean amplitude of tideFirst amplitude mean valueAnd after unusual fluctuations frequency domain amplitude confidence interval σ determines boiler fluctuation status step further include:
When the mean amplitude of tideWhen, then confirm that boiler is in abnormality.
6. the monitoring method of boiler fluctuation status as described in claim 1, which is characterized in that the boiler misoperation data
The data changed over time including voltage or temperature.
7. a kind of monitoring device of boiler fluctuation status characterized by comprising
First amplitude obtains module, for operating normally the first amplitude of data acquisition mean value according to boiler
Second amplitude obtains module, for according to boiler misoperation data acquisition the second amplitude mean value
Confidence interval obtains module, for according to the first amplitude mean valueWith the second amplitude mean valueObtain extraordinary wave
Dynamic frequency domain amplitude confidence interval σ；
Mean amplitude of tide obtains module, for obtaining mean amplitude of tide according to the boiler real-time running data monitored
Boiler fluctuation status judgment module, for according to the mean amplitude of tideFirst amplitude mean valueAnd unusual fluctuations frequency
Domain amplitude confidence interval σ judges boiler fluctuation status.
8. the monitoring device of boiler fluctuation status as described in claim 1, which is characterized in that the prison of the boiler fluctuation status
Survey device further include:
Operation data obtains module, for obtaining the real-time running data of boiler.
9. a kind of terminal device, including memory, processor and storage are in the memory and can be on the processor
The computer program of operation, which is characterized in that the processor realizes such as claim 1 to 6 when executing the computer program
The step of monitoring method of any one boiler fluctuation status.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In the monitoring of realization boiler fluctuation status as described in any one of claim 1 to 6 when the computer program is executed by processor
The step of method.
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