CN109272599A - A kind of data processing method and relevant device - Google Patents
A kind of data processing method and relevant device Download PDFInfo
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- CN109272599A CN109272599A CN201811020400.3A CN201811020400A CN109272599A CN 109272599 A CN109272599 A CN 109272599A CN 201811020400 A CN201811020400 A CN 201811020400A CN 109272599 A CN109272599 A CN 109272599A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C3/00—Registering or indicating the condition or the working of machines or other apparatus, other than vehicles
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F18/24—Classification techniques
Abstract
The embodiment of the present application discloses a kind of data processing method and relevant device, the probability scenarios that the various events for fast and accurately investigating equipment occur.This method comprises: obtaining the operation data of the target component of target device within a preset period of time；Determine the target classification of the operation data；The value range of the target component is determined based on the target classification；The corresponding probability-distribution function of the target component is generated according to the value range of the operation data and the target component；The critical value of the operation data is determined according to the target classification, the critical value of the operation data corresponds to critical value of the critical value based on the operation data under preset operating state in the target device for the target component and divides to the corresponding probability-distribution function of the target component, obtain the corresponding parameter section of the target component, the operating status of the corresponding parameter section of target component and the target device has incidence relation.
Description
Technical field
This application involves internet of things field more particularly to a kind of data processing method and relevant devices.
Background technique
The maintenance of the operating status and equipment of equipment is closely bound up, however the parameters of equipment are in the different of equipment
Operating status can also change.
For the operating status of equipment, the various possible situations of equipment are calculated there is no good method at present, such as
How the speed conditions of rotor in equipment determine operation conditions (such as the rotor of rotor in equipment under each state of equipment
Whether run well or revolving speed be more than a threshold value etc. operation conditions) there is no a kind of particularly preferred methods at present to examine
Examine the possibility situation of equipment.
Apply for content
The embodiment of the present application provides a kind of data processing method and data processing equipment, for fast and accurately investigating
The probability scenarios that the various events of equipment occur.
The embodiment of the present application first aspect provides a kind of data processing method, specifically includes:
Obtain the operation data of the target component of target device within a preset period of time；
Determine the target classification of the operation data；
The value range of the target component is determined based on the target classification；
The corresponding probability of the target component is generated according to the value range of the operation data and the target component
Distribution function；
Determine that the critical value of the operation data, the critical value of the operation data are described according to the target classification
Target component corresponds to the critical value under preset operating state in the target device；
Critical value based on the operation data divides the corresponding probability-distribution function of the target component, obtains
To the corresponding parameter section of the target component, the operation in the target component corresponding parameter section and the target device
State has incidence relation.
Optionally, the target classification of the determination operation data includes:
Obtain the corresponding data classification of the target device；
The target classification is determined according to the operation data and the corresponding data classification of the target device.
Optionally, the corresponding data classification of the target device includes at least: state class data, event class data, failure
One of class data, alarm class data and setting class data.
Optionally, the expression formula of the probability-distribution function is as follows:
F (X)=P { X≤x }；
Wherein, X is continuous random variable or discrete random variable, and x is in the value range of the operation data
Any real number, the critical value based on the operation data draw the corresponding probability-distribution function of the target component
Point, obtaining the corresponding parameter section of the target component includes:
Critical value based on the operation data calculates the probability-distribution function by following formula and is divided, and obtains
To the corresponding parameter section of the target component:
Wherein X is continuous random variable, and t is intermediate variable；
Wherein X is discrete random variable, and n is that the discrete type is random
Variable number in variable, 1≤i≤n.
The embodiment of the present application second aspect provides a kind of server, comprising:
Acquiring unit, for obtaining the operation data of the target component of target device within a preset period of time；
First determination unit, for determining the target classification of the operation data；
Second determination unit, for determining the value range of the target component based on the target classification；
Generation unit, for generating the target according to the value range of the operation data and the target component
The corresponding probability-distribution function of parameter；
Third determination unit, for determining the critical value of the operation data, the operation number according to the target classification
According to critical value be that the target component in the target device corresponds to the critical value under preset operating state；
Processing unit, for the critical value based on the operation data to the corresponding probability distribution letter of the target component
Number is divided, and the corresponding parameter section of the target component, the corresponding parameter section of target component and the mesh are obtained
The operating status of marking device has incidence relation.
Optionally, second determination unit is specifically used for:
Obtain the corresponding data classification of the target device；
The target classification is determined according to the operation data and the corresponding data classification of the target device.
Optionally, the corresponding data classification of the target device includes at least: state class data, event class data, failure
One of class data, alarm class data and setting class data.
Optionally, the expression formula of the probability-distribution function is as follows:
F (X)=P { X≤x }；
Wherein, X is continuous random variable or discrete random variable, and x is in the value range of the operation data
Any real number, the processing unit are specifically used for:
Critical value based on the operation data calculates the probability-distribution function by following formula and is divided, and obtains
To the corresponding parameter section of the target component:
Wherein X is continuous random variable, and t is intermediate variable；
Wherein X is discrete random variable, and n is that the discrete type is random
Variable number in variable, 1≤i≤n.
The embodiment of the present application third aspect provides a kind of processor, and the processor is for running computer program, institute
Data processing method described in above-mentioned any one is executed when stating computer program operation.
The embodiment of the present application fourth aspect provides a kind of computer readable storage medium, is stored thereon with computer journey
Sequence, it is characterised in that: the side as described in any one of claim 1 to 7 is realized when the computer program is executed by processor
The step of method.
In view of the foregoing it is apparent that the parameter space of equipment is obtained by calculation, is set comprising this in the embodiment of the present application
Standby all parameter spaces are sample space, after obtaining sample space, can both use probability theory, each to target device
Kind of event carries out the analysis of possibility, for example, certain failure occur probability value, some parameter by be more than some threshold value probability
Value, it is possible thereby to the probability that various events quickly and accurately occur to equipment is investigated, while can also when operation one with
When the similar new equipment of target device, can also by the sample space to the probability of the various events of generation of the new equipment into
Row is investigated.
Detailed description of the invention
Fig. 1 is the embodiment schematic diagram of data processing method provided by the embodiments of the present application；
Fig. 2 is the embodiment schematic diagram of server provided by the embodiments of the present application；
Fig. 3 is the structural schematic diagram of server provided by the embodiments of the present application.
Specific embodiment
The embodiment of the present application provides a kind of data processing method and server, for fast and accurately investigating equipment
The probability scenarios that various events occur.
Term in the description and claims of this application and above-mentioned attached drawing " the first ", " the second ", " third ", " the
The (if present)s such as four " are to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should
Understand that the data used in this way are interchangeable under appropriate circumstances, so that the embodiments described herein can be in addition to herein
Sequence other than diagram or the content of description is implemented.In addition, term " include " and " have " and their any deformation, meaning
Figure be to cover it is non-exclusive include, for example, containing the process, method of a series of steps or units, system, product or setting
It is standby those of to be not necessarily limited to be clearly listed step or unit, but may include be not clearly listed or for these mistakes
The intrinsic other step or units of journey, method, product or equipment.
It, can be rule of thumb or according to the operation mechanism of equipment, by equipment it should be noted that for weighing device
It is divided into several working conditions, such as safe work state, critical excitation and overload work state etc., for equipment
Single parameter for, parameter can be divided into several sections, to correspond to the corresponding working condition of equipment, such as by equipment when
Data of the parameter in certain time are divided into three sections, and the first segment data corresponds to the safe work state of target device, second segment
Data correspond to the critical excitation of target device, the overload work state etc. of the corresponding target device of third segment data.
The application is illustrated from the angle of data processing equipment below, which can be server,
Or the service unit in server, it does not limit specifically.
Referring to Fig. 1, one embodiment of data processing method includes: in the embodiment of the present application
101, the operation data of the target component of target device within a preset period of time is obtained.
In the present embodiment, when needing to investigate the probability of the various events of generation of target device within a preset period of time, clothes
Business device can obtain the operation data of the target component of target device within a preset period of time first.Specifically, server can be with
The operation data for the target component that adapter by collecting target device in preset time period uploads, the preset time period example
It such as can be one month or other durations, the target component for example can be the rotor of target device, then target component
Corresponding target component is the revolving speed of rotor.
102, the target classification of operation data is determined.
In the present embodiment, server, can be true after getting the operation data of target component within a preset period of time
The target classification of the fixed operation data.Specifically, the corresponding data classification of the available target device of server；
Target classification is determined according to operation data and the corresponding data classification of target device.
In the present embodiment, the corresponding data classification of target device is included at least: state class data, event class data, failure
Class data, alarm class data and setting one of class data, below to the corresponding data classification of target device and each
The acquisition of data classification is illustrated:
1, STA, Status, state class data, the state class data are moment of the description target device in acquisition data,
Accessed target device state parameter data, such as electric current, voltage, temperature, pressure, frequency ..., etc..State class number
According to acquisition be carried out by the period, for example, each second obtain 1 time, every five seconds clock obtain 1 time, or per minute obtain 1 time
(can be obtained according to the actual situation, herein by way of example only), period determine view according to the specific feelings of target device
Depending on condition.
2, EVNT, Event, event class data, event refer to (internal or external) some behaviour occurred of an industrial equipment
Make or movement, for example, (outside) has been turned up the electric motor starting of equipment, some valve pass, some pressure in someone；
Or equipment autostop or automatically safety valve is opened (inside) etc..Event class data obtain in real time, also
It is that event i.e. acquisition event class data occurs.
3, FLT, Fault, failure classes data, failure classes data are the fault messages provided by equipment, for example, in equipment
The fault message of " control valve failure " is reported.Failure classes data are also to obtain in real time, that is to say, that equipment fault occurred
When generate and failure classes data and voluntarily reported by equipment.
4, ALT, Alert, class data of alarming, which refers to the warning message that equipment reports, for example, equipment
The warning message of " hypertonia " is reported, likewise, alarm class data are also to obtain in real time when alarm has occurred in equipment
It takes.
5, SET, Setting set class data, which refers to the setting data of equipment, for example, now empty
What tune was set is " refrigeration, 23 DEG C, medium wind speed, left and right pendulum wind ", is somebody's turn to do and " freezes, 23 DEG C, medium wind speed, left and right pendulum wind are to set
Determine class data ", it is to be understood that setting class data obtain primary when being initialization, change when obtains in real time.
It should be noted that above-mentioned 5 class data are by way of example only, it certainly also can also include other kinds of data,
It does not limit specifically.
103, the value range of target component is determined based on target classification.
In the present embodiment, server can be determined after determining the target classification of operation data based on the target classification
The value range of target component, such as the target classification are state class data, such as the corresponding data of target component are electric current,
Then it is known that in the preset time period electric current of target component value range, that is, the permission of target component has been determined most
High current value and minimum current value, the i.e. value range of electric current, in another example the revolving speed of target device rotor, is determining one section
After the revolving speed of time, that is, it may know that the maximum value and minimum value of revolving speed, the i.e. value range of revolving speed.
104, the corresponding probability-distribution function of target component is generated according to operation data.
In the present embodiment, when server gets the operation data of the target component of target device within a preset period of time
Later, that is, the value range of target component is determined, later, server can taking according to the operation data and target component
It is worth range and generates the corresponding probability-distribution function of target component.
Specifically, setting X is continuous random variable or discrete random variable, x is target component in preset time period
Any real number in the value range of interior operation data, density function are f (x), then its unitary distribution function is:
F (X)=P { X≤x }.
105, the critical value of operation data is determined according to target classification.
In the present embodiment, server can determine that the critical value of operation data, the operation data are faced according to target classification
Dividing value is critical value of the target component in the case where target device corresponds to preset operating state.It is understood that the critical value can be with
It is some indexs, index here is likely to be other status datas different from target classification, such as the operation of target classification
Data are state class data, then the index is possible to as failure classes data or alarm class data；The critical value is also likely to be one
The specific value etc. rule of thumb obtained a bit, is illustrated by taking rotor as an example, if the operating status of the rotor of target device
Including normal operation, slight precarious position, poor risk state and highly dangerous state, normal operation is corresponding
The revolving speed of rotor is 1000 turns/S, and the revolving speed of slight danger respective rotor is that 1000 turns/S-2000 turns/S, and poor risk is corresponding
The revolving speed of rotor be 2000 turns/S, the revolving speed of the corresponding rotor of highly dangerous state is 3000 turns/S, as long as can classify
The working condition of target device, does not limit specifically.
106, the corresponding probability-distribution function of target component is divided based on the critical value of operating status, obtains mesh
Mark the corresponding parameter section of parameter.
In the present embodiment, server is obtaining the critical of the corresponding probability-distribution function of target component and operation data
After value, can the critical value based on operating status the corresponding probability distribution of target component is divided, obtain target component
Corresponding parameter section.
It is divided, is obtained specifically, calculating probability-distribution function by following formula based on the critical value of operation data
The corresponding parameter section of target component:
In the present embodiment, which is continuous random variable, and t is intermediate variable, can be by the critical value band of operation data
Enter above-mentioned formula and obtain the corresponding data of target component in the probability value of target device difference operating status, is also just incited somebody to action
The parameter section that critical value divides on probability density function as label, can both find out parameter section and equipment state
Corresponding relationship, it is possible thereby to calculate the corresponding parameter section of all parameters in target device.
It is understood that above-mentioned be illustrated X for continuous random variable, it is below discrete random variable to X
It is illustrated:
When X is discrete random variable, X only takes the value of finite number or possible number, such as x1,x2,…xn, n
For the number of variable in discrete random variable, it may be assumed that
P { X=xi}=pi, (i=1,2,3 ... n)；
P { X=xi}=pi, (i=1,2,3 ... n) are also referred to as probability function, and X is taken some value xiProbability be denoted as pi, from
Type random probability distribution is dissipated to have the property that
pi>=0.
The probability value that each stochastic variable in discrete random variable is calculated by following formula, obtains target component
Corresponding parameter section:
It is understood that the value of i is to work as i=n less than or equal to n
When, the probability value summation of all variables in discrete random variable in X is 1.
It is understood that above-mentioned be illustrated by taking the single parameter (target component) of target device as an example, by above-mentioned
Mode, the parameter section of all parameters of available target device, and then obtain the work in all parameter sections and target device
Make the corresponding relationship of state, wherein the set comprising all parameter sections is sample space.
In view of the foregoing it is apparent that the parameter space of equipment is obtained by calculation, is set comprising this in the embodiment of the present application
Standby all parameter spaces are sample space, after obtaining sample space, can both use probability theory, each to target device
Kind of event carries out the analysis of possibility, for example, certain failure occur probability value, some parameter by be more than some threshold value probability
Value, it is possible thereby to the probability that various events quickly and accurately occur to equipment is investigated, while can also when operation one with
When the similar new equipment of target device, can also by the sample space to the probability of the various events of generation of the new equipment into
Row is investigated.
The embodiment of the present application is illustrated from the angle of data processing method above, below from the angle pair of server
The embodiment of the present application is illustrated.
Referring to Fig. 2, one embodiment of server includes: in the embodiment of the present application
Acquiring unit 201, for obtaining the operation data of the target component of target device within a preset period of time；
First determination unit 202, for determining the target classification of the operation data；
Second determination unit 203, for determining the value range of the target component based on the target classification；
Generation unit 204, for generating the mesh according to the value range of the operation data and the target component
Mark the corresponding probability-distribution function of parameter；
Third determination unit 205, for determining the critical value of the operation data, the fortune according to the target classification
The critical value of row data corresponds to the critical value under preset operating state in the target device for the target component；
Processing unit 206, for the critical value based on the operation data to the corresponding probability distribution of the target component
Function is divided, and obtains the corresponding parameter section of the target component, the corresponding parameter section of the target component with it is described
The operating status of target device has incidence relation.
Optionally, second determination unit 202 is specifically used for:
Obtain the corresponding data classification of the target device；
The target classification is determined according to the operation data and the corresponding data classification of the target device.
Optionally, the corresponding data classification of the target device includes at least: state class data, event class data, failure
One of class data, alarm class data and setting class data.
Optionally, the expression formula of the probability-distribution function is as follows:
F (X)=P { X≤x }；
Wherein, X is continuous random variable or discrete random variable, and x is in the value range of the operation data
Any real number, the processing unit 206 are specifically used for:
Critical value based on the operation data calculates the probability-distribution function by following formula and is divided, and obtains
To the corresponding parameter section of the target component:
Wherein X is continuous random variable, and t is intermediate variable；
Wherein X is discrete random variable, and n is that the discrete type is random
Variable number in variable, 1≤i≤n.
Data processing method described in the interactive mode of each unit and Fig. 1 in server provided by the embodiments of the present application
Embodiment is similar, and above-mentioned have been carried out illustrates, and specific details are not described herein again.
In view of the foregoing it is apparent that the parameter space of equipment is obtained by calculation, is set comprising this in the embodiment of the present application
Standby all parameter spaces are sample space, after obtaining sample space, can both use probability theory, each to target device
Kind of event carries out the analysis of possibility, for example, certain failure occur probability value, some parameter by be more than some threshold value probability
Value, it is possible thereby to the probability that various events quickly and accurately occur to equipment is investigated, while can also when operation one with
When the similar new equipment of target device, can also by the sample space to the probability of the various events of generation of the new equipment into
Row is investigated.
Referring to Fig. 3, a kind of server architecture schematic diagram provided by the embodiments of the present application, which can be because of configuration
Or performance is different and generate bigger difference, may include one or more central processing units (central
Processing units, CPU) 301 (for example, one or more processors) and memory 302, one or one with
The storage medium 303 (such as one or more mass memory units) of upper storage application program 304 or data 305.Its
In, memory 302 and storage medium 303 can be of short duration storage or persistent storage.The program for being stored in storage medium 303 can
To include one or more modules (diagram does not mark), each module may include to the series of instructions in server
Operation.Further, central processing unit 301 can be set to communicate with storage medium 303, execute on server 300
Series of instructions operation in storage medium 303.
Server 300 can also include one or more power supplys 309, one or more wired or wireless nets
Network interface 307, one or more input/output interfaces 308, and/or, one or more operating systems 306, such as
Windows Server, Mac OS X, Unix, Linux, FreeBSD etc..
The step as performed by server can be based on the server architecture shown in Fig. 3 in above-described embodiment.
It is apparent to those skilled in the art that for convenience and simplicity of description, foregoing description is
System, the specific work process of device and unit can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
The embodiment of the present application provides a kind of storage medium, is stored thereon with program, real when which is executed by processor
The existing data processing method.
The embodiment of the present application provides a kind of processor, and the processor is for running program, wherein described program fortune
The data processing method is executed when row.
The embodiment of the present application provides a kind of equipment, equipment include processor, memory and storage on a memory and can
The program run on a processor, processor perform the steps of when executing program
Obtain the operation data of the target component of target device within a preset period of time；
Determine the target classification of the operation data；
The value range of the target component is determined based on the target classification；
The corresponding probability of the target component is generated according to the value range of the operation data and the target component
Distribution function；
Determine that the critical value of the operation data, the critical value of the operation data are described according to the target classification
Target component corresponds to the critical value under preset operating state in the target device；
Critical value based on the operation data divides the corresponding probability-distribution function of the target component, obtains
To the corresponding parameter section of the target component, the operation in the target component corresponding parameter section and the target device
State has incidence relation.
The processor, which executes program, can also realize the step in embodiment as described in Figure 1.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer journey
Sequence product.Therefore, complete hardware embodiment, complete software embodiment or combining software and hardware aspects can be used in the application
The form of embodiment.Moreover, it wherein includes the calculating of computer usable program code that the application, which can be used in one or more,
The computer program implemented in machine usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
The application is the flow chart of the method for reference the embodiment of the present application, equipment (system) and computer program product
And/or block diagram describes.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer journeys
Sequence instruct to general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices processor with
A machine is generated, so that generating use by the instruction that computer or the processor of other programmable data processing devices execute
In the function that realization is specified in one or more flows of the flowchart and/or one or more blocks of the block diagram
Device.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that instruction stored in the computer readable memory generation includes
The manufacture of command device, the command device are realized in one box of one or more flows of the flowchart and/or block diagram
Or the function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that
Series of operation steps are executed on computer or other programmable devices to generate computer implemented processing, thus calculating
The instruction executed on machine or other programmable devices is provided for realizing in one or more flows of the flowchart and/or side
The step of function of being specified in block diagram one box or multiple boxes.
In a typical configuration, calculate equipment include one or more processors (CPU), input/output interface,
Network interface and memory.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM)
And/or the forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is that computer can
Read the example of medium.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any side
Method or technology realize that information stores.Information can be computer readable instructions, data structure, the module of program or other numbers
According to.The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory
(SRAM), dynamic random access memory (DRAM), other kinds of random access memory (RAM), read-only memory
(ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory techniques, CD-ROM are read-only
Memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or
Other magnetic storage devices or any other non-transmission medium, can be used for storage can be accessed by a computing device information.According to
Herein defines, and computer-readable medium does not include temporary computer readable media (transitory media), such as modulation
Data-signal and carrier wave.
Should be noted term " include ", " include " or its any other variant be intended to nonexcludability
It include so that the process, method, commodity or the equipment that include a series of elements not only include those elements, but also to wrap
Include other elements that are not explicitly listed, or further include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, by sentence " include one ... " element that limits, it is not excluded that including element
Process, method, there is also other identical elements in commodity or equipment.
It will be understood by those skilled in the art that embodiments herein can provide as the production of method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or implementation combining software and hardware aspects can be used in the application
The form of example.Moreover, can be used can in the computer that one or more wherein includes computer usable program code by the application
With the computer program product implemented in storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
Form.
The above is only embodiments herein, are not intended to limit this application.Those skilled in the art are come
It says, various changes and changes are possible in this application.All any modifications made within the spirit and principles of the present application are equal
Replacement, improvement etc., should be included within the scope of the claims of this application.
Claims (10)
1. a kind of data processing method characterized by comprising
Obtain the operation data of the target component of target device within a preset period of time；
Determine the target classification of the operation data；
The value range of the target component is determined based on the target classification；
The corresponding probability distribution of the target component is generated according to the value range of the operation data and the target component
Function；
Determine that the critical value of the operation data, the critical value of the operation data are target ginseng according to the target classification
Number corresponds to the critical value under preset operating state in the target device；
Critical value based on the operation data divides the corresponding probability-distribution function of the target component, obtains described
The corresponding parameter section of target component, the corresponding parameter section of the target component and the operating status of the target device have
Incidence relation.
2. the method according to claim 1, wherein the target classification of the determination operation data includes:
Obtain the corresponding data classification of the target device；
The target classification is determined according to the operation data and the corresponding data classification of the target device.
3. according to the method described in claim 2, it is characterized in that, the corresponding data classification of the target device includes at least:
One of state class data, event class data, failure classes data, alarm class data and setting class data.
4. the method according to claim 1, wherein the expression formula of the probability-distribution function is as follows:
F (X)=P { X≤x }；
Wherein, X is continuous random variable or discrete random variable, and x is any in the value range of the operation data
Real number, the critical value based on the operation data divide the corresponding probability-distribution function of the target component, obtain
Include: to the corresponding parameter section of the target component
Critical value based on the operation data calculates the probability-distribution function by following formula and is divided, and obtains described
The corresponding parameter section of target component:
Wherein X is continuous random variable, and t is intermediate variable；
Wherein X is discrete random variable, and n is the discrete random variable
In variable number, 1≤i≤n.
5. a kind of server characterized by comprising
Acquiring unit, for obtaining the operation data of the target component of target device within a preset period of time；
First determination unit, for determining the target classification of the operation data；
Second determination unit, for determining the value range of the target component based on the target classification；
Generation unit, for generating the target component pair according to the value range of the operation data and the target component
The probability-distribution function answered；
Third determination unit, for determining the critical value of the operation data according to the target classification, the operation data
Critical value corresponds to the critical value under preset operating state in the target device for the target component；
Processing unit carries out the corresponding probability-distribution function of the target component for the critical value based on the operation data
It divides, obtains the corresponding parameter section of the target component, the corresponding parameter section of target component and the target device
Operating status have incidence relation.
6. server according to claim 5, which is characterized in that second determination unit is specifically used for:
Obtain the corresponding data classification of the target device；
The target classification is determined according to the operation data and the corresponding data classification of the target device.
7. server according to claim 6, which is characterized in that the corresponding data classification of the target device is at least wrapped
It includes: one of state class data, event class data, failure classes data, alarm class data and setting class data.
8. server according to claim 5, which is characterized in that the expression formula of the probability-distribution function is as follows:
F (X)=P { X≤x }；
Wherein, X is continuous random variable or discrete random variable, and x is any in the value range of the operation data
Real number, the processing unit are specifically used for:
Critical value based on the operation data calculates the probability-distribution function by following formula and is divided, and obtains described
The corresponding parameter section of target component:
Wherein X is continuous random variable, and t is intermediate variable；
Wherein X is discrete random variable, and n is the discrete random variable
In variable number, 1≤i≤n.
9. a kind of processor, which is characterized in that the processor is for running computer program, when the computer program is run
It executes such as the step of any one of Claims 1-4 the method.
10. a kind of computer readable storage medium, is stored thereon with computer program, it is characterised in that: the computer program
It is realized when being executed by processor such as the step of any one of Claims 1-4 the method.
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