CN109074528A - The formulation auxiliary system and formulation householder method of operation and maintenance knowledge information - Google Patents

Abstract

Make it possible to efficiently extract knowledge information relevant to operation and maintenance from existing system.Auxiliary system (1) is formulated using the information extracted from existing system (4), the formulation of knowledge information relevant to operation and maintenance is assisted.Formulate auxiliary system to have: information acquiring section (F10) obtains defined information relevant to existing system (4)；Key element extraction unit (F12), by analyzing acquired defined information, to extract the key element information for becoming key element relevant to the logic judgment of operation and maintenance；And operation and maintenance knowledge information extraction unit (F14), by carrying out sunykatuib analysis to extracted key element information, to extract knowledge information, that is, operation and maintenance knowledge information relevant to operation and maintenance and be saved.

Description

The formulation auxiliary system and formulation householder method of operation and maintenance knowledge information

Technical field

The present invention relates to the formulation auxiliary system of operation and maintenance knowledge information and formulate householder method.

Background technique

In the past, for example, in the various factories such as power plant, iron-smelter, laboratory, specific management company (network operator) is long Year responsible operation and maintenance make great efforts the quality for improving or improveing be included in equipment etc., improve operation and maintenance technology.All the year round to factory The management company run puts aside the intrinsic knowledge or operation method based on experience.

However it is appropriately combined by being carried out to the product bought from multiple suppliers in recent years, having, to seek factory The trend of the reduction of construction cost or operating cost.Supplier and product are not all defined, and sometimes, follow that customer's is desired Supplier or product are selected.In the past, possess product provided by the supplier of higher reliability and real achievement abundant (especially for example, the spy towards specific plant orders product, special product) more uses in the factory.But in recent years, Gu Kexi It hopes and the cheap universal product bought from the supplier of multiplicity is combined and constructs cheap factory.

It is made of in new factory product same as existing factory, by the management company of the operation and maintenance with existing factory Same management company is come in the case where running, the tricks of the trade for the operation and maintenance technology cultivated in existing factory can be answered substantially as former state For new factory.

But it is made cheap being combined to other Products or universal product for lacking on using real achievement New factory the case where or in the case that the management company that is newly added runs new factory, it is difficult to the fortune for being possessed existing factory The tricks of the trade of row maintenance technology are applied to new factory.

This is because: the most of of the tricks of the trade of operation and maintenance technology will not become explicit knowledge, and becomes mostly and implicitly know Know.The tricks of the trade of the operation and maintenance technology in existing factory cannot be applied flexibly in the case where new factory, it is difficult to stable operation or Safeguard new factory.However, it is very difficult to extract and become to the tricks of the trade for the operation and maintenance technology put aside in existing factory Explicit knowledge, anticipation cost are all difficult.

Here, the patent document 1 as the prior art is using working conditions such as the durations of runs of shop equipment and in factory The output signals of the multiple sensors being arranged in equipment detects exception.In patent document 1, according to job history or replacement portion The past countermeasure example such as part information, detected different constant sum game is associated, realizes the raising of diagnostic accuracy.

Existing technical literature

Patent document

Patent document 1:(Japan) special open 2013-41448 bulletin

Summary of the invention

Problems to be solved by the invention

According to the prior art of patent document 1, the maintenance service of experience or intuition based on operator can be made to automate, The tricks of the trade as implicit more educated operation and maintenance technology can be made to become explicit knowledge.But patent document 1 is following skill Art: premised on supervision object and operation object are specific, in the case where supervision object meets defined condition to behaviour Defined instruction is given as object.To may not apply to supervision object or the different factory of operation object.This is because: answering What is monitored and how should go what is operated, it is inherently indefinite.

The solution of the problem in cooperative enterprise be it is multiple, hardware provided by a large amount of manufacturer or software are combined and In the case where construction systems, become more difficult.

The present invention is completed in view of above-mentioned project, it is intended that providing can efficiently mention from existing system Take the formulation auxiliary system of the operation and maintenance knowledge information of knowledge information relevant to operation and maintenance.

Means for solving the problems

In order to solve the above problems, in accordance with the formulation auxiliary system use of operation and maintenance knowledge information of the invention from existing The information that system is extracted, assists the formulation of knowledge information relevant to operation and maintenance, have: information acquiring section obtains Information as defined in relevant to existing system；Key element extraction unit, by analyzing acquired defined information, from And extract the key element information for becoming key element relevant to the logic judgment of operation and maintenance；And operation and maintenance knowledge letter Extraction unit is ceased, by carrying out sunykatuib analysis to extracted key element information, to extract knowledge relevant to operation and maintenance Information, that is, operation and maintenance knowledge information is simultaneously saved.

Invention effect

According to the present invention, by extracting key element information relevant to the logic judgment of operation and maintenance simultaneously from existing system Sunykatuib analysis is carried out, so as to extract operation and maintenance knowledge information.

Detailed description of the invention

Fig. 1 is the explanatory diagram for indicating the whole summary of present embodiment.

Fig. 2 is the structure chart that auxiliary device is formulated in factory's operation knowledge (knowledge).

Fig. 3 is the structure chart of client terminal and operation and maintenance terminal.

Fig. 4 is the example of syslog data (input data).

Fig. 5 is the example of syslog data (output data).

Fig. 6 is the example of job logging data.

Fig. 7 is the example of external data.

Fig. 8 is the example of key element data.

Fig. 9 is the example of knowledge data.

Figure 10 is the flow chart that knowledge formulates aid in treatment.

Figure 11 is related to second embodiment, is the example of daily record data.

Figure 12 is the example of key element data.

Figure 13 is related to 3rd embodiment, is the flow chart for indicating to explore the processing of knowledge establishment condition.

Figure 14 is related to fourth embodiment, is the flow chart for collecting the processing of screen operation log.

Figure 15 is related to the 5th embodiment, is the explanation the case where knowledge extracted from existing factory is applied to new factory Figure.

Figure 16 is related to sixth embodiment, is to indicate to divide the knowledge extracted from existing factory by each customer's strategy The explanatory diagram of the situation of class.

Specific embodiment

The formulation auxiliary system of operation and maintenance knowledge information involved in present embodiment has to the system with factory etc. The relevant monitor log of operation and maintenance and control record analyzed function, by each logic judgment for being controlled Or action classify to analysis result function, change according to classification results the function of frequency relevant to monitoring or controlling The function of the simulation of factory's operation and maintenance, root can and be carried out based on the frequency after condition same as analysis result and change The condition of frequency relevant to monitoring needed for logic judgment or action or control is determined according to analog result.

In the present embodiment, sentenced according to monitoring data (sensing data) relevant to the operation and maintenance of factory, logic The action record of this 3 type of disconnected and director data, analyzes monitoring data and director data using big data analysis technology. As a result, in the present embodiment, the mechanical characteristic quantity being associated with logic judgment, specifically specific prison can be extracted Depending on data and director data.In the present embodiment, by these monitoring data and instruction data and logic judgment (abnormal omen Detection etc.) it saves as the knowledge of operation and maintenance.By the way that the knowledge extracted from existing factory is applied to new factory, from And the convenience or reliability of the operation and maintenance of new factory can be promoted with low cost.

As the technology from key element data extraction knowledge, such as it is able to use adaptive resonance theory (Adaptive Resonance Theory:ART).

In the present embodiment, change the frequency of extracted characteristic quantity and by each logic judgment, thus It is able to carry out logic judgment to confirm with simulator, determines the specification of characteristic quantity.For example, being distinguished by sunykatuib analysis in certain biography The number of value in the signal designation prescribed limit of sensor is able to detect abnormal omen when becoming stipulated number.In present embodiment In, it can determine the specification as the value of sensor signal and number for the characteristic quantity of logic judgment starting.

According to the present embodiment, the operation and maintenance buried in existing factory as implicit knowledge can automatically be extracted Knowledge (tricks of the trade) simultaneously becomes explicit knowledge.Also, according to the present embodiment, additionally it is possible to tie up the operation as explicit knowledge Shield knowledge is packaged and is applied to the operation and maintenance of new factory.

Fig. 1 shows the summaries of present embodiment.Degree of the Fig. 1 with understanding of the invention and needed for implementing shows embodiment party The summary of formula, the scope of the present invention are not limited to structure shown in FIG. 1.

The formulation auxiliary system 1 of operation and maintenance knowledge information is made of computer installation, is tieed up with client terminal 2 and operation Protecting system 3 connects.It formulates auxiliary system 1 and defined computer program is executed by microprocessor, to realize auxiliary as formulating Auxiliary system and desired each function.It indicates to formulate main function among function F10~F16 that auxiliary system 1 is realized in Fig. 1 F10, F12, F14 etc..

Client terminal 2 is the terminal used by a user such as system operator, inputs day to auxiliary system 1 is formulated The various data informations such as will data, or display is from the information for formulating auxiliary system 1.

Operation maintenance system 3 is the device for carrying out operation and maintenance to the existing system 4 for extracting object as knowledge, is Terminal.Operation maintenance system 3 in the later-described embodiments, referred to as operation and maintenance terminal 3.Operation maintenance system 3 from Monitoring data that existing system 4 obtains (also referred to as input data, sensing data, obtain data) or from operation maintenance system 3 The director data (also referred to as output data, control data) for giving existing system 4 is transferred into client computer from operation maintenance system 3 Terminal 2.According to circumstances, data can also be directly transmitted from operation maintenance system 3 to auxiliary system 1 is formulated.

Existing system 4 is constituted such as various factories power plant, iron-smelter, laboratory, upper and lower water course factory.It is existing System 4 has at least one sensor 41 and equipment 42.

In sensor 41, such as there are temperature sensor, pressure sensor, flow sensor, liquid level sensor, vibration inspection Survey sensor, rotation sensor, sonic transducer, flame detection sensor, imaging sensor, color sensor, Magnetic Sensor, electricity Flowmeter, potentiometer, hand switch, optoelectronic switch, mechanical limit switch, keyboard switch, touch panel etc..In equipment 42 In, such as have motor, turbine, cylinder, solenoid, valve, pump, heater, boiler, fan etc..

Operation maintenance system 3 is based on preset logic judgment (abnormity diagnosis and its answer equity), carries out existing system 4 Operation and maintenance.In turn, if the users such as operator dynamically detect abnormal omen from the signal of defined sensor 41, It gives and indicates from operation maintenance system 3 to defined equipment 42.Detected abnormal omen is quickly coped with as a result, is prevented In possibly preventing abnormal generation.User is saved to operation maintenance system as charge book to the operation of existing system 4 3, it is also communicated to client terminal 2.The data of operation maintenance system 3 are input to from sensor 41 and from operation and maintenance system The data that system 3 gives equipment 42 are also transmitted to client terminal 2.

Operation and maintenance knowledge formulates auxiliary system 1 by dividing data relevant to the operation and maintenance of existing system 4 Analysis, to extract the operation and maintenance knowledge as " operation and maintenance knowledge information " (hereinafter also referred to as knowledge or knowledge data).Institute The operation and maintenance knowledge extracted can be installed on the operation maintenance system 5 of the operation and maintenance of responsible new system 6.

Formulate auxiliary system 1 for example keep data acquisition F10, key element extraction unit F12, knowledge extraction unit F14 this The processing function and record data T10-T13, key element data T13, knowledge data T14 of sample.Formulate the detailed of auxiliary system 1 Thin structure carries out aftermentioned in Fig. 2 etc..

Data acquisition F10 corresponds to " information acquiring section ".Data acquisition F10 is tieed up from client terminal 2 and/or operation Protecting system 3 obtains the daily record data T10-T12 as " defined information ", and is saved.Data acquisition F10 will possess The data of various data formats are transformed to preset Uniform data format, and are saved.Data acquisition F10 can determine Phase or aperiodically obtain daily record data.For example, data acquisition F10 can at the time of being determined in advance, from system administration When having carried out certain upkeep operations when person etc. is instructed to, in operation maintenance system 3, when the structure change of existing system 4 it In any one or more timing, obtain daily record data simultaneously saved.

Key element extraction unit F12 is by analyzing daily record data, to extract the logic become with operation and maintenance Judge data (key element data) T13 of relevant key element, and is saved.In the logic judgment of this operation and maintenance It is, such as the logic in the operation and maintenance such as abnormal omen detection, failure precognition.In logic judgment, not only examined comprising omen Such pure judgement is surveyed, such as the action such as " setting value change " " system stopping " " path switching " can also be included.

Key element data T13 as " key element information " is by carrying out big data to daily record data T10-T12 Data of the analysis to extract, and it is considered as the data with the logic judgment close relation of operation and maintenance.

Knowledge extraction unit F14 is by carrying out sunykatuib analysis to key element data T13, to obtain as " operation and maintenance The knowledge data of knowledge information ".Knowledge extraction unit F14 judges whether key element data T13 and logic judgment have relationship, will have The key element data and logic judgment of relationship are corresponding and generate knowledge data T14, and are saved.

In turn, knowledge extraction unit F14 is by occurrence condition changing unit F141, to input data among key element data Occurrence condition changes.Knowledge extraction unit F14 either what kind of occurrence condition as a result, is all confirmed whether to execute and the pass The occurrence condition is added to knowledge data by the corresponding logic judgment of key factor data.

The knowledge data T14 generated in this way automatically detects that existing system 4 is cultivated in operation and maintenance operation all the year round Implicit knowledge and become explicit knowledge.As operator experience or intuition and hiding operation and maintenance tricks of the trade at least A part becomes visually, to apply flexibly in the operation and maintenance of new system 6 by formulating auxiliary system 1.

[embodiment 1]

Illustrate first embodiment using Fig. 2~Figure 10.Fig. 2 is comprising formulating auxiliary system 1 involved in the present embodiment The structural example of total system.

Total system for example has factory's operation and maintenance knowledge and formulates auxiliary system (hereinafter referred to as knowledge formulation auxiliary system System) 1, multiple client terminals 2 and multiple operation and maintenance terminals 3, these computer systems 1~3 company via communication network CN1 It connects.

The operation and maintenance terminal 3 of factory's operation and maintenance is carried out via communication network CN2 and multiple sensors 41 and equipment 42 Connection.These sensors 41 and equipment 42 are contained in the existing system (existing factory) 4 in Fig. 1.Specifically, operation and maintenance Terminal 3 is connect with the plant maintenance operating system outside figure, is that instruction or the calculating of setting value are inputted to plant maintenance operating system Machine terminal.Hereinafter, for ease of description, having and not distinguishing especially plant maintenance operating system and operation and maintenance terminal 3 and use Situation.

Knowledge formulates auxiliary system 1 and for example has CPU11, memory (memory) 12, communication unit 13 and storage device 14. Knowledge formulates various programs possessed by auxiliary system 1 and is stored to storage device 14.CPU11 by these computer programs according to It needs and is read in, executed via memory 12.Hereby it is achieved that each function F10~F16.

Communication unit 13 is the function of being communicated for connecting with communication network CN1.Knowledge formulate auxiliary system 1 via Communication unit 13 and communication network CN1, are communicated with client terminal 2 and operation and maintenance terminal 3.

Storage device 14 is constituted such as by hard disk or flash memory, stores for realizing each function F10~F16's Computer program and data T10~T14.

As the computer program stored in storage device 14, such as there are data acquisition F10, big data analysis portion F11, key element extraction unit F12, sunykatuib analysis portion F13, knowledge extraction unit F14, picture control unit F15 and communication control unit F16。

Data acquisition F10 is the log that the log T20 possessed by the client terminal 2 obtains various data formats, and It is the function that knowledge formulates the unified format that auxiliary system 1 is capable of handling by the format conversion of acquired data.In general, each Client terminal 2 is respectively provided with equipment or system alone, and data format is that same situation is less.In order to dispose data format Different multiple data, need data acquisition F10.In addition, can be by the market by the function of standard data format The software of sale is realized, so do not refer to further in the present embodiment.

Big data analysis portion F11 be for example from syslog data T10, job logging data T11, external data T12 this 3 The log of type, the function of the possible associated project of acquisition.This function is able to use so-called data digging method to realize, also can The software by selling on the market is reached to realize, so omitting specific description.

Key element extraction unit F12 is chosen among the candidate by the collected associated item of big data analysis portion F11 For crucial element, save to key element data T13.About collection result, carry out in fig. 8 aftermentioned.Big data analysis portion F11 usually prompts multiple associated items according to relational size.For example, both can mechanically select preceding 3 associations Project is as key element, or can also carry out picture to collection result and show, for user in a manual fashion from shown Result select key element.

Sunykatuib analysis portion F13 is confirmation factory fortune among the various input datas stored from key element data T13 The function how row maintenance system is acted.In sunykatuib analysis function F13, such as it is able to use in operation and maintenance system of factory The training simulators installed in system.In the training simulators that operator develops to be trained in physical device, energy Enough will the data used in actual factory and precondition as input source, export same with the movement of actual operation and maintenance The result of sample.

Knowledge extraction unit F14 is according in sunykatuib analysis portion F13 as a result, being confirmed whether the input data of key element and defeated The combination of data can be such that the automatic logic judging function of the height such as the detection of abnormality detection or abnormal omen is moved out Make.In height and in the case that automatically logic judging function is acted, knowledge extraction unit F14 is by key element data T13 Input data and output data saved as knowledge data T14.

Picture control unit F15, which is made, formulates the picture that auxiliary system 1 is supplied to user by knowledge, keeps client terminal 2 aobvious Show.Picture control unit F15 can for example make syslog data T10, job logging data T11, external data T12, be critical to Prime number is shown in picture according to part or all of T13 these contents.In turn, picture control unit F15 can make big data point The analysis result of analysis portion F11 or the analysis result of sunykatuib analysis portion F13 are shown in picture.Picture control unit F15 by with visitor The client computer enforcement division F20 of family machine terminal 2 cooperates, so that made picture be shown on client terminal 2.Picture Control unit F15 can also detect the operation for the display picture and save.

Communication control unit F16 is to control communication unit 13, and carry out with client terminal 2 and operation and maintenance terminal 3 The function of communication.In the data transmitting and receiving that knowledge formulates auxiliary system 1 and each terminal 2,3, not only comprising daily record data It transmits and receives, also the transmitting and receiving including, for example, data used in being shown in the picture of remote desktop etc..In turn, communication control Portion F16 for example client terminal 2 quantity increase the case where etc. under, additionally it is possible to preferentially processing with specific client terminal Data between 2 transmit and receive.

Using Fig. 3, illustrate the structural example of client terminal 2 and operation and maintenance terminal 3.First illustrate the knot of client terminal 2 Structure.Client terminal 2 for example have CPU 21, memory (memory) 22, communication unit 23, storage unit 24 and user interface portion ( UI is expressed as in figure) 25.

CPU 21 is by reading in the computer program stored in storage unit 24 and execution via memory 22, to realize Each function F20~F22 required by client terminal 2.Client terminal 2 is connected via communication unit 23 and communication network CN1 It connects, formulates auxiliary device 1 with knowledge and communicated.

In storage unit 24, it is stored with for realizing client computer enforcement division F20, picture control unit F21, communication control unit Computer program and daily record data T20, the knowledge data T21 of F22.

Client computer enforcement division F20 is to formulate auxiliary system 1 as client computer with the knowledge as server to connect, and is used for Exchange the function of information.Client computer enforcement division F20 is also possible to web browser either dedicated program.

Picture control unit F21 is 2 institute of implementing result or client terminal that knowledge is formulated to each function of auxiliary device 1 The daily record data T20 and knowledge data T21 that possess are shown in the function in user interface portion 25.

User interface portion 25 has information input unit and information output part.Information input unit is whole to client computer for user The function of 2 input instruction of end etc., for example, have keyboard, instruction (pointing) equipment, touch panel, sound indicating device etc. it In at least any one.Information output part is that such as have display for from client terminal 2 to the function of user's output information Among device, speech synthesizing device, printer etc. at least any one.

Operation and maintenance terminal 3 has CPU31, memory 32, communication unit 33, storage unit 34 and user interface portion (UI) 35.

CPU31 is by reading in the computer program stored in storage unit 34 and execution via memory 32, to realize Each function F30~F32 required by operation and maintenance terminal 3.Operation and maintenance terminal 3 connects via communication unit 33 and communication network CN1 It connects, formulates auxiliary device 1 with knowledge and communicated.

In storage unit 34, it is stored with for realizing operation and maintenance portion F30, picture control unit F31, communication control unit F32 Computer program and daily record data T30, knowledge data T31.

Operation and maintenance terminal 3 is attached via communication unit 33 and communication network CN1, with knowledge formulate auxiliary device 1 into Row communication.In turn, operation and maintenance terminal 3 can also be carried out via communication network CN2 with multiple sensors 41 and multiple equipment 42 Communication.Operation and maintenance terminal 3 can be both attached via communication unit 33 and communication network CN2, can also be through not shown Other communication unit is attached with communication network CN2.

Operation and maintenance portion F30 is the function that the operation and maintenance of factory 4 are carried out for knowledge based data T31.Operation and maintenance Portion F30 executes abnormality detection or different based on the monitoring data obtained from sensor 41 and the data stored in knowledge data T31 The height such as detection often predicted and automatic logic judgment.Operation and maintenance portion F30 is according to the logic judgment of height as a result, selection Director data in knowledge data T31 is indicated by the director data to equipment 42.In this way, operation and maintenance terminal 3 is based on The state of the knowledge data T31 and factory that obtain from the real achievement of operation and maintenance carry out operation and maintenance to factory 4 in real time.

Picture control unit F31 is related possessed by implementing result or operation and maintenance terminal 3 by operation and maintenance portion F30 The daily record data T30 of factory's operation and maintenance or acquired knowledge data T31 are shown in the function in user interface portion 35.

Fig. 4 is indicated among the daily record data that factory 4 collects, syslog data T10A relevant to input data Example.The syslog data of input data is contained in syslog data T10 shown in Fig. 2.

Input data is to obtain the data of the state of factory 4, such as can also be known as sensing data, monitoring data, take Obtain data.Data detected by sensor 41 are input to knowledge from 4 side of factory and formulate auxiliary system 1, so in this implementation It is known as input data (monitoring data, sensing data) in example.

Data acquisition F10 unifies the data of format by the way that the input data of various data formats to be transformed to, thus raw At the syslog data T10A of input data.

Syslog data (input data) T10A such as date-time C100A, sensor comprising indicating date-time Obtained value C101A acquired by 41, expression are provided with the implementor name C102A of the equipment of sensor 41 and indicate sensor name The sensor name C103A of title.

Obtained value C101A has measured value C101A1 and corrected value C101A2.Corrected value C101A2 is by measured value C101A1 is transformed to the value in the case where unified format.If measured value C101A1 is set as the value for the original sample that sensor 41 is exported, Then corrected value C101A2 can be described as knowledge formulate auxiliary system 1 in order to uniformly calculate all data and to unit or precision into The value of row after reunification.

Fig. 5 indicates among syslog data T10, the example of syslog data T10B relevant to output data.Output Data are the data that the equipment 42 for including exports into factory 4, additionally it is possible to be known as director data or control data.Output data Syslog data T10B can also be known as driver director data.Driver is equipment 42, is include active in factory 4 Mechanicalness element.

Syslog data (output data) T10B is for example comprising indicating the date-time C100B of date-time, to driving Device carries out specified designated value C101B, indicates the implementor name C102B for being provided with the equipment of driver and indicates drive letter The drive letter C103B of title.

Instruction value C101B has designated value C101B1 and corrected value C101B2.Corrected value C101B2 is to designated value Value in the case where after C101B1 progress format conversion.If designated value C101B1 is set as the value of original sample, corrected value C101B2 is Knowledge formulates auxiliary system 1 to uniformly calculate all data and carries out value after reunification to unit or pattern.After reunification Format under, if for example " connect switch " is illustrated as " 1 ", " disconnecting switch " is illustrated as " 0 ".Actual instruction value is according to setting Standby 42 specification and it is different.Designated value C101B1 is stored to according to the actual instruction value of the specification of equipment 42.

The example of Fig. 6 expression job logging data T11.Job logging data T11 is work relevant to the operation and maintenance of factory 4 The data of industry record.Data acquisition F10 is by being unified format by various Data Transforms, so that job logging number be made According to T11.

Job logging data T11 is for example comprising indicating the date-time C110 of date-time, indicating to have carried out at what kind of Identifier, that is, operation ID C111 of operation is managed, the job title C112 of its job content is indicated and indicates to which equipment 42 The implementor name C113 handled.

The example of Fig. 7 expression external data T12.External data T12 is the gas from the outside for formulating auxiliary system 1 in knowledge The data obtained as external systems such as forecast systems.Data acquisition F10 by being unified format by various Data Transforms, To which external data T12 be made.

External data T12 is for example comprising indicating the date-time C120 of date-time, indicating the identification of external data classification Symbol is external data ID C121, the data name C122 for indicating its content, the value C123 as its value.

As external data, such as there is meteorological data, indicates the working day of factory or the opening history of maintenance test day etc. The predicted value etc. that data, production forecast system are exported.

Fig. 8 shows the examples of key element data T13.Key element data T13 is made of key element extraction unit F12.

Key element data T13 is for example comprising indicating movement ID C130 of the identifier of key element, becoming related operation Or maintenance logic judgment basis acquirements data C131 and indicate as logic judgment result and to equipment 42 progress The director data C132 of the content of instruction.

Obtaining data C131 includes to indicate to achieve the implementor name C1311 of data from which equipment 42 and indicate from which A sensor 41 achieves the sensor name C1312 of data.In fig. 8,1 type is only corresponded to a movement ID C130 to take Data C131 is obtained, but multiple acquirement data C131 can also be corresponded to a movement ID C130 and saved.

Director data C132 includes to indicate the implementor name C1321 that is instructed to which equipment 42 and to equipment 42 Which element has issued the control object C1322 of control instruction.Control object C1322 can also be known as the element of control object Name or drive letter.In fig. 8, the director data C132 that ID C130 only corresponds to 1 type is acted to one, but can also be right One movement ID C130 corresponds to multiple instruction data C132.

In fig. 8, it is that big data analysis portion F11 is judged as by excavating processing that movement ID C130, which is the record of " 001 ", Related example.In this case, "None" is all stored in implementor name C1311 and sensor name C1312.

In fig. 8, it is that big data analysis portion F11 is judged as by excavating processing that movement ID C130, which is the record of " 009 ", Other related examples.It in this embodiment, is " vibration detecting sensor " relative to the sensor name C1312 for obtaining data C131, Director data C132 becomes " external coordination ".That is, in this embodiment, not directly indicated to equipment 42, but to External system is instructed.For example, not dropping the revolving speed of turbine in the case where thinking that the vibration of turbine has abnormal omen It is low, but the replacement of equipment 42 is for example requested external maintaining-managing system (not shown), or the adjustment of request maintenance schedule.

In addition, due to all confirming the movement of equipment 42 before instruction and after instruction, not taken substantially in actual operation The case where data C131 is "None" is obtained, but here, is omitted to simplify the explanation.

The example of Fig. 9 expression knowledge data T14.Knowledge data T14 is generated by knowledge extraction unit F14.

Knowledge data T14 is for example comprising knowledge ID C140, logic judgment C141, association key element ID C142, acquirement Data C143 and director data C144.

Knowledge ID C140 is the identifier for determining knowledge relevant to the operation and maintenance of factory 4.Logic judgment C141 It is the judgement of the content as knowledge.As logic judgment, such as have abnormal detection, the detection of abnormal omen etc..Association is closed Key element ID C142 is for determining the identifier with the key element by the knowledge ID C140 knowledge connection determined.

Obtain the type of the input data (sensing data) of premise of the data C143 for being determined to become knowledge.Obtain number It include the implementor name C1431 for determining the equipment for being provided with sensor and the sensor name for determining sensor according to C143 C1432。

Director data C144 is used to be determined as the director data (output data, control data) using result of knowledge It is sent to destination etc..Director data C144 include for determine give instruction equipment implementor name C1441 and for determine to The control object C1442 of object for giving instruction and being controlled.Control object C1442 is one or more controls that equipment is included Among object element processed, as knowledge result and become the element name of control object.

Figure 10 is the flow chart for indicating the processing assisted the formulation of the knowledge of operation and maintenance.Present treatment is by knowledge system Determine the execution of auxiliary system 1.User can make knowledge formulate auxiliary system 1 and execute present treatment in timing appropriate.

As substantially distinguishing, knowledge formulates the processing that auxiliary system 1 carries out 2 type below in order.1st processing be Extract the processing (S10~S15) for becoming the data of key element.2nd processing is to extract the processing of knowledge data and determination (S16~S20).

Key element extraction process (S10~S15) is obtained for extracting the various data of key element data and being divided Analysis saves it and analyzes result.Knowledge determines that processing (S16~S20) uses extracted key element data to confirm height Logic judging function whether automatically acted, as knowledge obtained from key element data having confirmed that etc. has been determined Data save.The logic judgment whether key element data automatically carry out height can be confirmed by simulation process.

Initially, the daily record data T20 that data acquisition F10 is saved from each client terminal 2, which is obtained, generates knowledge data Required data (S10), by the standardized format (S11) of the data acquired by these.That is, data acquisition F10 will The data classification being collected into from each client terminal 2 is syslog data, charge book, external data, after these are classified Data format unification, storage is to syslog data T10, job logging data T11, external data T12 (S11).

Big data analysis portion F11 reads data from syslog data T10, job logging data T11, external data T12, Data mining processing is carried out to be analyzed (S12) to the data that these read.It is analyzed result and is displayed on client computer end In the user interface portion 25 at end 2 (S13).

The step S13 shown to analysis result is for example executed by key element extraction unit F12.Key element extraction unit Analysis result that big data analysis portion F11 is exported is shown the user in client terminal 2 by F12 via picture control unit F15 In interface portion 25.User is able to confirm that big data analysis result.In addition, this step S13 also can be omitted.

Key element extraction unit F12 may be to extract based on the data extracted in big data analysis processing (S12) For the candidate data of key element data, which is saved to key element data T13 (S14).

When selecting the candidate of key element data among the result handled from big data analysis, additionally it is possible to add user's Judgement.That is, user can also select one or more times for becoming key element data from the picture shown in step s 13 The data of choosing.Alternatively, the data of forward specified quantity are as key element among the result that big data analysis can also be handled The candidate data of data and automatically select.

Key element extraction unit F12 determines whether that the result handled from big data analysis is extracted and is likely to become key element The candidate total data (S15) of data.Key element extraction unit F12 is extracting the candidate's for finishing whole key element data In the case of (S15: yes) advance to next step S16, (S15: no) return step S13, determines it in the case where really not so He analyzes result.It is key element extraction process above.Next, executing knowledge determines processing.

In the step of knowledge determines in processing, includes the input data that simulation is made (S16), the step of progress sunykatuib analysis Suddenly (S17), judge whether the step of executing the automatic logic judgment of height such as abnormality detection (S18), key element data are (defeated Enter group formed by data and output data) it is corresponding with logic judgment and as knowledge data come (S19) the step of preservation, judgement The step of whether analyzing whole key element data (S20).

The input data that simulation is made the step of in (S16), by the data stored in key element data T13 it In input data (sensing data, monitoring data, obtain data) enter data to process as handle sunykatuib analysis.

In the step of carrying out sunykatuib analysis (S17), sunykatuib analysis portion F13 manufactured in step s 16 will input number In the case where being incorporated into factory's operation maintenance system as knowledge data according to the automatic logic judgment with the height such as abnormality detection, point How analysis factory's operation maintenance system is acted, its result is exported.In step s 16, it both can be used to be used for factory Operation and maintenance and pre-set training simulators, or the simulator using simple model also can be used.Alternatively, user The movement of operation maintenance system can be theoretically studied.

In judging whether the step of executing the automatic logic judgment of the height such as abnormality detection (S18), knowledge extraction unit F14 According in sunykatuib analysis portion F13 as a result, being confirmed whether to perform the automatic logic judgment of the height such as abnormality detection.

Knowledge extraction unit F14 (S18: yes) in the case where having executed the automatic logic judgment of height, at sunykatuib analysis Key element data and logic judgment used in reason as knowledge data T14 a part and be saved (S19).

In contrast, knowledge extraction unit F14 (S18: no) in the case where being not carried out the automatic logic judgment of height, sentences It is disconnected whether about whole key element data to be simulated analysis (S20).There is the key element for not yet carrying out sunykatuib analysis (S20: no), return step S16 in the case where data.It is simulated point about the whole key element data extracted In the case where analysis (S20: yes), terminate present treatment.

According to the present embodiment constituted in this way, can automatically extract used in the existing factory 4 as implicit knowledge Knowledge data.

According to the present embodiment, experience or intuition as operator can be made and the operation and maintenance tricks of the trade that are hidden at least A part, which formulates auxiliary system 1 by knowledge, to be become visually apply flexibly in the operation and maintenance of new factory 6.

To which the knowledge data if the present embodiment will be used as explicit knowledge is installed on new factory as software Operation maintenance system, even the then not no new network operator of factory's operation and maintenance tricks of the trade of height, is also able to carry out high reliablity Operation and maintenance.In addition, by being combined with factory application made of other unknown Products such as characteristic or real achievement Become the knowledge data of explicit knowledge, through this embodiment so as to provide the operation and maintenance of stable high quality.

In addition, in the present embodiment, as an example of knowledge, describe the height such as abnormality detection judges automatically function. But knowledge is not limited to the detection etc. of abnormality detection or abnormal omen.It is repertoire in relation to operation and maintenance, i.e. related specific A series of particular procedures involved in sensor 41 or the specific machinery of equipment 42 and the judgement of people are knowledge.

[embodiment 2]

Illustrate second embodiment using Figure 11, Figure 12.It is real that each embodiment below comprising the present embodiment is equivalent to first The variation of example is applied, so being illustrated centered on the difference with first embodiment.In the present embodiment, illustrate to knowledge into The case where row extension.In the present embodiment, the daily record data of factory 4 includes logic judgment or movement.

Figure 11 indicates the logic judgment/action schedule T10C example for including in the syslog data T10 of the present embodiment.

Logic judgment/action schedule T10C for example comprising indicate date-time date-time C100C, indicate carried out how Processing execution title C101C, indicate the reason of becoming the phenomenon of its reason title C102C, the executing subject of processing is led Body person C103C, the object-based device C104C that main body person C103C handles which equipment 42 is indicated.

Main body C103C has this 2 type of the case where the case where " machinery " and " people ".Main body C103C be " machinery " the case where be The case where automatically being handled based on pre-determined condition, the judgement not comprising people in processing.For example, being is being more than certain In the case where setting value, the processing of switch is automatically shut off.

In contrast, main body C103C is the case where processing via the judgement of people the case where being " people ".For example, be by Impart the processing for the obligation that must be handled with the judgement of people or the processing of failure or exception for burst.

The big data analysis portion F11 of the present embodiment is from syslog data T10, job logging data T11, external data The daily record data of this 3 type of T12, acquisition may be with the associated item of movement via mechanical logic judgment or the judgement of people Mesh.This function is able to use so-called data digging method to realize, so omitting further instruction.

Figure 11 indicates the example of the key element data T13_1 of the present embodiment.The key element data T13_1 needle of the present embodiment It also include the logic judgment/action schedule T10C content described in Figure 10 to the key element data T13 described in fig. 8.

That is, key element data T13_1 include indicate key element identification movement ID C130, indicate carried out why The logic judgment of sample or the movement C133 of action, represent reach the movement and the acquirement data C131 of the content that obtains, with And represent the director data C132 of content for initiating the movement and instructing.

Obtaining data C131 includes to indicate to achieve the implementor name C1311 of data from which equipment 42 and indicate from which A sensor 41 achieves the sensor name C1312 of data.In the present embodiment, C133 is acted to one only correspond to 1 type Data C131 is obtained, but not limited to this, multiple acquirement data C131 can also be corresponded to a movement C133.

Director data C132 includes the implementor name C1321 for indicating instruct which equipment 42 and expression to setting Standby 42 which control object possessed have issued the control object C1322 of control instruction.In the present embodiment, one is acted C133 only corresponds to the director data C132 of 1 type, but not limited to this, multiple instruction data can also be corresponded to a movement C133 C132。

The movement ID C130 for being conceived to Figure 12 is the record of " 001 ".It is " operation start " that this expression, which acts C133, is started The case where operating of equipment 42.Here, being set as not needing sensing data and being illustrated in operation start, so to acquirement Data C131 is not provided with value."None" is all stored in implementor name C1311 and sensor name C1312.

In contrast, needing director data C132 to start the operating of equipment 42.Therefore, to director data C132's Implementor name C1321 and control object name C1322, sets the value for determining the object of control instruction.

In addition, the movement of equipment 42 is all confirmed before instruction and after instruction, so not having substantially in actual operation The case where to data C131 setting "None" is obtained, but omitted to simplify the explanation herein.

In key element data T13_1, according at the acquirement of value and the setting method of value and have 5 type below.? In the following description, the case where no setting value, means to set "None" in Figure 12.

First is following situation: according to movement C133, not having setting value to data C131 is obtained, to director data C132's Value has been set separately in implementor name C1321 and control object name C1322.

Second is following situation: the implementor name C1311 and sensor name C1312 that obtain data C131 are set separately Value, does not have setting value to director data C132.

Third is following situation: value has been set separately to data C131 and director data C132 is obtained.

The fourth is that following situation: setting " external coordination " to the implementor name C1311 for obtaining data C131.In the situation Under, by obtaining data from external system, to cooperate with the external system.

Fifth is that following situation: setting " external coordination " to the implementor name C1321 of director data C132.In the situation Under, it is instructed by being issued to external system, to cooperate with the external system.

If executing the knowledge illustrated in the first embodiment using key element data 13_1 shown in Figure 12 and formulating auxiliary It handles (Figure 10), then other than the automatic logic judgment of the height such as abnormality detection, additionally it is possible to which auxiliary is also sentenced comprising general logic The formulation of knowledge data including disconnected.

The same function and effect that the present embodiment constituted in this way is also realized and described in the first embodiment.And then basis The present embodiment can obtain the extensive of automatic this both sides of logic judgment comprising general logic judgment and height from existing factory Knowledge.To by the way that the extensive knowledge to be applied to the operation maintenance system of new factory, thus even if not possessing tricks of the trade New network operator the case where or piece together unused sensor or equipment in the case where constructing new factory, also can be realized reliable The high operation and maintenance of property.

[embodiment 3]

Illustrate 3rd embodiment using Figure 13.In the present embodiment, determine that abnormality detection etc. is highly and automatic in order to obtain Logic judgment and required key element data (data obtained from sensor 41 and the data instructed to equipment 42) The frequency of acquirement.That is in the present embodiment, in order to realize operation and maintenance knowledge, investigate sensor 41 and equipment 42 is answered The performance having.

Figure 13 is the flow chart for the processing explored to the establishment condition of knowledge.Present treatment is known as knowledge establishment condition Exploration processing.Present treatment is executed by knowledge extraction unit F14.

Knowledge establishment condition explores processing as described later, by detect relevant to key element data period ( Moment and finish time) (S30), alteration command data or sensing data frequency (S31), simulation input data is made (S32), sunykatuib analysis (S33), judge whether to perform judge automatically function or based on the control (S34) judged automatically, save The condition (upper limit value/lower limit value etc.) (S35) of key element data judges whether to finish to analyze in whole key elements (S36) it constitutes.

In step s 30, the period in relation to key element data is set.Period is for example with start time at the end of It carves to define.In step S30, from the ID C142 of the associated key element data of knowledge data T14 inquiry agency, this is used ID C142 retrieves the ID C130 of key element data T13.

In step s 30, about the acquirement data C131 (sensing data) and director data C132 with knowledge connection, inspection Cable system daily record data T10A, T10B, thus at the beginning of decision is corresponding with data C131 and director data C132 is obtained respectively Quarter and finish time.That is, in step s 30, (obtaining data and instruction about the data for extracting the basis of knowledge are become Data), determine the period that these data are detected.

In step S31, director data (output data) or the acquirement frequency for obtaining data (input data) are become More.In step S31, the Frequency (detection of director data and acquirement data in the period set in step s 30 is calculated Frequency), the frequency that setting reduces specified value compared with newest frequency (obtains frequency=newest acquirement frequency-regulation Value).

In step s 32, it is formed in input data used in simulation process.Step S32 is based on setting in step s 30 Key element data period and the acquirement frequency that is set in step S31, obtain institute from daily record data T10A, T10B Associated data (director data C101B and acquirement data C101A).Also, in step s 32, by the frequency tune of these data The whole frequency to be set in step S31.

In step S33, sunykatuib analysis portion F13 is according to manufactured various defeated when simulation input data (S32) is made Enter data to analyze how factory's operation maintenance system is acted, exports its result.Factory's fortune had both can be used in the simulator The training simulators of row maintenance also can be used the simulator that simple model is utilized, be also possible to theoretical research.

In step S34, judge whether also perform in the case where reducing the acquirement frequency of data and judge automatically function Can or based on the control judged automatically.In step S34, according to the analysis in sunykatuib analysis portion F13 as a result, being confirmed whether to execute Judge automatically function or based on the control judged automatically.In the case where performing them (S34: yes), it is back to step S31 further decreases frequency and is analyzed (S32, S33) again.In the case where being not carried out them (S18: no), make to locate Reason is advanced.

In step s 35, condition (upper limit or lower limit for obtaining frequency) and key element data knowledge reproduced It is corresponding, it saves to knowledge data T14.

In step S36, determine whether that (execution judges automatically function or base to its reproducing condition for the A to Z of data In the condition of the control judged automatically) it is analyzed.In the case where there is the knowledge that do not analyze (S36: no), it is back to step S30.In the case where finishing about the A to Z of analysis (S36: yes), terminate present treatment.

The present embodiment constituted in this way also realizes function and effect same as first embodiment.And then according to the present embodiment, It can determine that slave sensor needed for knowledge obtains the frequency of data or the instruction frequency to equipment (driver).According to this implementation Example, can determine in order to apply flexibly knowledge and the specification of required sensor 41 and equipment 42 in new factory 6, so can be realized Few operation and maintenance are wasted compared with first embodiment.It can make the present embodiment and first embodiment, any of second embodiment A combination.

[embodiment 4]

Illustrate fourth embodiment using Figure 14.In the present embodiment, it automatically extracts for formulating auxiliary system for knowledge System 1 is supplied to the operation history of the picture of client terminal 2, using the operation history as at least the one of job logging data T11 Part uses.

Figure 14 is the operation history and the processing that is saved for extracting user for the picture shown in client terminal 2 Flow chart.Present treatment is for example cooperated by knowledge formulation auxiliary system 1 with client terminal 2 or operation and maintenance terminal 3 to execute. Hereinafter, declarative knowledge formulates the operation for the display picture that auxiliary system 1 is obtained for operation and maintenance terminal 3, as screen operation Log is come the example that saves.

The user interface portion 35 of operation and maintenance terminal 3 shows picture (S40) relevant to operation and maintenance.User is in the picture The button shown in face click etc. and operate.For picture user's operation by operation and maintenance terminal 3 user interface 35 Detection is transferred into knowledge via communication unit 23 and formulates auxiliary system 1 (S41).

If the picture control unit F15 that knowledge formulates auxiliary system 1 receives screen operation data from operation and maintenance terminal 3 (S50), then (S51) is analyzed to the screen operation data.Data acquisition F10 is by the analysis knot in picture control unit F15 Fruit stores as screen operation log to screen operation daily record data T15 (S52).

Screen operation daily record data T15 is for example corresponding by operation ID, date of operation time, class of operation, operation content And it manages.Can also be further corresponding by the ID of user and manage.By referring to screen operation daily record data T15, so as to Enough what kind of operation confirmation user has carried out to which picture element (button, input field etc.).

Knowledge extraction unit F14 uses screen operation daily record data T15, at least part as job logging data T11. Knowledge extraction unit F14 extracts the key element data that may constitute knowledge as a result,.

The present embodiment constituted in this way also realizes function and effect same as first embodiment.And then in the present embodiment, It automatically obtains the screen operation of user and analyzes, be made as the screen operation of a part of job logging data T11 Daily record data T15.It is therefore not required to which user records charge book in a manual fashion, ease of use is improved.It can make this reality Apply the combination of either one or two of example and first~3rd embodiment.

[embodiment 5]

Illustrate the 5th embodiment using Figure 15.In the present embodiment, it is applied to by the knowledge extracted from existing factory When the operation and maintenance of new factory, the viewpoint of the system structure of factory and the strategy of the customer runed factory are considered.

Figure 15 indicates the whole summary of the present embodiment.Multiple knowledge are extracted respectively from existing factory P1~P3.It is set as from work Factory P1 obtains knowledge N10~N1n, obtains knowledge N20~N2n from factory P2, obtains knowledge N30~N3n from factory P3.

It is not limited to that the A to Z of that extracted from each existing factory P1~P3 new factory P4 can be applied to as former state.Sometimes New factory P4 is different with existing factory P1~P3 system structure, and then the tactful also difference of the customer runed factory.Cause Whether this is compared by the structure of structure and new factory to existing factory in the present embodiment, therefore, it is determined that can incite somebody to action The knowledge extracted from existing factory is applied to new factory.

In turn, in the present embodiment, about the knowledge for being judged to being suitble in system structure, determine whether to accord with to new The strategy for the customer that factory is runed.In the case where Figure 15, the suitable possibility and the customer that will only meet in system structure Knowledge N1n, N21, N30, N32 of this tactful both sides is applied to new factory P4.

According to the present embodiment constituted in this way, can be selected from from the knowledge that multiple existing factory P1~P3 are extracted It can be applied to the knowledge of new factory P4, and be applied to new factory P4.It can make the present embodiment and first~fourth embodiment Any one is combined.

[embodiment 6]

Illustrate sixth embodiment using Figure 16.In the present embodiment, by the knowledge extracted from existing factory P5~P7 by It is pre-prepd it is each strategy and classify and saved.In the example shown in Figure 16, be set as from factory P5 obtain knowledge N50~ N5n, obtains knowledge N60~N6n from factory P6, obtains knowledge N70~N7n from factory P7.Among these knowledge, knowledge N51, N52, N60, N62, N70, N72 are classified as strategy as " safety is preferential ".Other knowledge N53, N5n, N63, N71, N73, N7n is classified as strategy as " cost priority ".

According to the present embodiment constituted in this way, the knowledge extracted from existing factory is classified and carried out by each strategy It saves, so knowledge corresponding with the expectation of customer runed new factory can also be selected and be applied to new factory.Energy Enough combine either one or two of the present embodiment and first~fourth embodiment.

In addition, the present invention is not limited to above-mentioned embodiments.As long as those skilled in the art, it will be able in the present invention In the range of, carry out various additions or change etc..In the above-described embodiment, it is not limited to the illustrated structural example of attached drawing. In the range of reaching the purpose of the present invention, the structure or processing method of embodiment can be suitably changed.

In addition, each structural element of the invention can arbitrarily accept or reject selection, has the invention of the structure after accepting or rejecting selection Also it is contained in the present invention.And then structure documented by claims can also other than the combination expressed in claims Enough carry out other combinations.

Label declaration:

1: operation and maintenance knowledge formulates auxiliary system, and 2: client terminal, 3,5: (operation and maintenance are whole for operation maintenance system End), 4: existing system (existing factory), 6: new system (new factory), 41: sensor, 42: equipment, T10: syslog data, T11: job logging data, T12: external data, T13: key element data, T14: knowledge data, F10: data acquisition, F11: big data analysis portion, F12: key element extraction unit, F13: sunykatuib analysis portion, F14: knowledge extraction unit, F15: picture control Portion processed, F16: communication control unit.

Claims (12)

1. a kind of formulation auxiliary system of operation and maintenance knowledge information is tieed up using the information extracted from existing system to operation The formulation for protecting relevant knowledge information is assisted, and is had:

Information acquiring section obtains defined information relevant to the existing system；

Key element extraction unit, by analyzing the defined information of acquirement, so that extraction becomes and operation and maintenance The relevant key element of logic judgment key element information；And

Operation and maintenance knowledge information extraction unit, by carrying out sunykatuib analysis to the key element information of extraction, to extract Knowledge information relevant to operation and maintenance, that is, operation and maintenance knowledge information is simultaneously saved.

2. the formulation auxiliary system of operation and maintenance knowledge information as described in claim 1,

The information acquiring section obtains the input information inputted to the equipment for constituting the existing system, for the equipment The output information and charge book information relevant to operation and maintenance that are instructed are exported, as the defined information,

The key element extraction unit is extracted corresponding with the logic judgment among the input information and the output information Information as the key element information,

The operation and maintenance knowledge information extraction unit confirmed by the sunykatuib analysis the key element information with it is described With the presence or absence of relational between logic judgment, having confirmed that the key element information, there are relational with the logic judgment In the case of, the key element information and the logic judgment are extracted as the operation and maintenance knowledge information.

3. the formulation auxiliary system of operation and maintenance knowledge information as claimed in claim 2,

The operation and maintenance knowledge information extraction unit changes the input information for including in the key element information by one side Occurrence condition carries out the sunykatuib analysis on one side, therefore, it is determined that whether the output information for including in the key element information goes out It is existing, it extracts to make that the output information occurs and the occurrence condition of the required input information is known as the operation and maintenance The a part for knowing information, correspondingly saves with the key element information and the logic judgment.

4. the formulation auxiliary system of operation and maintenance knowledge information as claimed in claim 3,

Output is by the operation and maintenance knowledge information that the operation and maintenance knowledge information extraction unit is extracted to be applied to new system System.

5. the formulation auxiliary system of operation and maintenance knowledge information as claimed in claim 5,

The logic judgment includes judgement relevant to the omen that obstacle occurs.

6. the formulation auxiliary system of operation and maintenance knowledge information as claimed in claim 5,

The similarities and differences of system structure based on the existing system and the new system determine whether to know the operation and maintenance Information application is known in the new system, and the operation and maintenance knowledge information for being judged to apply only is applied to the new system.

7. the formulation auxiliary system of operation and maintenance knowledge information as claimed in claim 6,

Among the operation and maintenance knowledge information for being judged to can be applied to the new system, will only it be suitable for and the new system The operation and maintenance knowledge information of corresponding strategy is applied to the new system.

8. the formulation auxiliary system of operation and maintenance knowledge information as claimed in claim 5,

The operation and maintenance knowledge information is classified as preset multiple strategies.

9. the formulation auxiliary system of described in any item operation and maintenance knowledge informations such as claim 1~8,

In the defined information, history, that is, picture comprising the operation that the picture for existing system described in operation and maintenance carries out Face operational history.

10. a kind of formulation householder method of operation and maintenance knowledge information passes through computer using the information extracted from existing system The formulation of knowledge information relevant to operation and maintenance assisted,

Obtain defined information relevant to the existing system；

By analyzing the defined information of acquirement, so that extracting becomes relevant to the logic judgment of operation and maintenance The key element information of key element,

By carrying out sunykatuib analysis to the key element information extracted, to extract knowledge letter relevant to operation and maintenance Breath is operation and maintenance knowledge information and is saved.

11. the formulation householder method of operation and maintenance knowledge information as claimed in claim 10,

In the defined information, the input information comprising the equipment input to the composition existing system is directed to described The output information and charge book information relevant to operation and maintenance that the output of equipment is instructed,

It extracts and is critical to described in information conduct corresponding with the logic judgment among the input information and the output information Prime information,

Confirmed between the key element information and the logic judgment by the sunykatuib analysis with the presence or absence of relational, Have confirmed that the key element information and the logic judgment there are it is relational in the case where, extract the key element information It as the operation and maintenance knowledge information and is saved with the logic judgment.

12. a kind of computer program, for making computer play work as the formulation auxiliary system of operation and maintenance knowledge information Use the information extracted from existing system with the formulation auxiliary system of, the operation and maintenance knowledge information, to operation and maintenance phase The formulation of the knowledge information of pass is assisted,

The computer program makes to realize respectively on the computer:

Information acquiring section obtains the input information inputted to the equipment for constituting the existing system, for the defeated of the equipment The output information and charge book information relevant to operation and maintenance instructed out, as defined information；

Key element extraction unit, by acquirement it is described as defined in information analyze, thus extract the input information and Become the key element information of key element relevant to the logic judgment of operation and maintenance among the output information；And

Operation and maintenance knowledge information extraction unit is confirmed by sunykatuib analysis in the key element information and the logic judgment Between with the presence or absence of relational, have confirmed that the key element information and the logic judgment there are it is relational in the case where, The key element information and the logic judgment are extracted as the operation and maintenance knowledge information and is saved, in turn, is led to It crosses and carries out the sunykatuib analysis while changing the occurrence condition for the input information for including in the key element information, thus Determine whether the output information for including in the key element information occurs, extraction is required in order to the output information occur The input information a part as the operation and maintenance knowledge information of occurrence condition, with the key element information and The logic judgment correspondingly saves.