CN105809255B - A kind of thermal power plant's rotating machinery health control method and system based on Internet of Things - Google Patents
A kind of thermal power plant's rotating machinery health control method and system based on Internet of Things Download PDFInfo
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- CN105809255B CN105809255B CN201610127761.2A CN201610127761A CN105809255B CN 105809255 B CN105809255 B CN 105809255B CN 201610127761 A CN201610127761 A CN 201610127761A CN 105809255 B CN105809255 B CN 105809255B
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
The present invention provides a kind of thermal power plant's rotating machinery health control method and system based on Internet of Things, facilitates the maintenance cost for reducing rotating machinery, improves the service efficiency of rotating machinery.The described method includes: obtaining the basic information and status information of rotating machinery；The operating status of rotating machinery is monitored according to the basic information and status information that get, diagnose the incipient fault of rotating machinery and assesses the health status of rotating machinery, while predicting the remaining life of rotating machinery；According to the incipient fault diagnostic result of rotating machinery, the maintenance project of rotating machinery is generated.The present invention is suitable for thermal power plant's monitoring technical field.
Description
Technical field
The present invention relates to thermal power plant's monitoring technical fields, and it is strong to particularly relate to a kind of thermal power plant's rotating machinery based on Internet of Things
Health management method and system.
Background technique
Since thermal power plant's rotating machinery is mostly complicated Multivariable Coupling system, when being run with rotating machinery
Between and running environment change, the dynamic property of rotating machinery also changes at any time, in order to ensure thermal power plant's rotation
The safe operation of mechanical equipment, how accurately to understand the operating status of current rotating machinery, actual performance, health status,
Future life is the key that realize rotating machinery health control.
The health problem of rotating machinery already causes the concern of people, the research work of rotating machinery health control
Work is also in process always, currently, China has many enterprises using rotating machinery health control.But implement effect
Fruit be not it is highly desirable, have a certain distance with desired value, it is overall apparently, input-output ratio, the ratio of performance to price be not highly desirable.
Study carefully the main reason is that existing equipment it is health management system arranged function it is incomplete and practical.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of rotating machinery health control side, thermal power plant based on Internet of Things
Method and system, to solve the problems, such as that the health management system arranged function of equipment present in the prior art is incomplete and practical.
In order to solve the above technical problems, the embodiment of the present invention provides a kind of thermal power plant's rotating machinery health based on Internet of Things
Management method, comprising:
Obtain the basic information and status information of rotating machinery；
The operating status of rotating machinery is monitored according to the basic information and status information that get, is examined
The incipient fault of disconnected rotating machinery and the health status for assessing rotating machinery, while predicting rotating machinery
Remaining life；
According to the incipient fault diagnostic result of rotating machinery, the maintenance project of rotating machinery is generated.
Optionally, the basic data for obtaining rotating machinery and status information include:
It obtains the essential information of rotating machinery, fault message, repair message and stores to database, the basic letter
Breath include: rotating machinery device manufacturer provide equipment reliability maintainability and supportability information, device numbering,
Device name and/or model specification；
When rotating machinery operation, the real time status information of each default monitoring point of rotating machinery is obtained.
Optionally, the operating status of the basis is got the basic information and status information to rotating machinery
It is monitored, diagnoses the incipient fault of rotating machinery and assesses the health status of rotating machinery, while predicting to rotate
The remaining life of mechanical equipment includes:
Signal processing and feature extraction are carried out to the status information of the rotating machinery got, rotating machinery is generated and sets
Standby status monitoring information, and the status monitoring information is stored to database；
Secondary analysis is carried out to the information after feature extraction, diagnoses the incipient fault of rotating machinery, while will be potential
Fault diagnosis result is stored into database, and carries out early warning to the incipient fault of the rotating machinery, wherein described two
Secondary analysis includes: time-domain analysis, spectrum analysis, time series analysis, model analysis, statistical analysis and/or order ratio analysis；
According to the basic information and status information of the rotating machinery got, the performance for analyzing rotating machinery declines
It moves back trend, assess the health status of rotating machinery, while generating the health account of rotating machinery and storing to data
It in library, and determines the Health Category of rotating machinery, when the Health Category exceeds preset Health Category, issues rotation
Mechanical equipment health status warning information；
According to the health status of rotating machinery, and combine preset equipment life prediction model to rotating machinery
Remaining life predicted, the preset equipment life prediction model include: grey forecasting model, proportional hazard model,
Artificial nerve network model and/or Kalman filter model.
Optionally, the incipient fault diagnostic result according to rotating machinery, generates the maintenance of rotating machinery
Plan includes:
According to the incipient fault diagnostic result of rotating machinery, the active repair and maintenance operation of rotating machinery is generated
Plan, maintenance and repair parts procurement plan, Maintenance Resource plan of distribution simultaneously carry out maintenance task scheduling and maintenance policy optimization；
According to maintenance as a result, storing repair message into database；
Wherein, the maintenance task scheduling includes: according to the importance of rotating machinery, reliability, maintainability, can supervise
The property surveyed, economy, maintainability are scheduled maintenance personal, maintenance and repair parts, maintenance fund, maintenance tool and maintenance time；
Maintenance policy optimization include: according to the importance of rotating machinery, reliability, maintainability, monitoring property,
Economy, maintainability carry out decision to maintenance mode, maintenance type, maintenance opportunity.
Optionally, the incipient fault diagnostic result according to rotating machinery, generates the active of rotating machinery
Repair and maintenance production plan includes:
The early stage processing method of incipient fault for rotating machinery is stored to database, and generates rotating machinery
The Dynamic Maintenance expert knowledge library of equipment incipient fault；
The pass of the incipient fault diagnostic result of current rotating machinery is analyzed by the Dynamic Maintenance expert knowledge library
Join parameter, determine the type for causing the rotating machinery incipient fault, and generates the active inspection of the rotating machinery
Repair upkeep operation plan and corresponding processing method.
It is health management system arranged that the embodiment of the present invention also provides a kind of thermal power plant's rotating machinery based on Internet of Things, comprising:
Information acquisition unit: for obtaining the basic information and status information of rotating machinery；
Health control unit: for the fortune according to the basic information and status information got to rotating machinery
Row state is monitored, and is diagnosed the incipient fault of rotating machinery and is assessed the health status of rotating machinery, while pre-
Survey the remaining life of rotating machinery；
Maintenance project generation unit: for the incipient fault diagnostic result according to rotating machinery, rotating machinery is generated
The maintenance project of equipment.
Optionally, the information acquisition unit includes:
Basic information obtains module, for obtaining the essential information of rotating machinery, fault message, repair message and depositing
To database, the essential information includes: the reliability for the equipment that the device manufacturer of rotating machinery provides, maintenance for storage
Property, protection information, device numbering, device name and/or model specification；
State information acquisition module, for when rotating machinery operation, obtaining each default of rotating machinery
The real time status information of monitoring point.
Optionally, the health control unit includes:
Monitoring information generation module carries out signal processing and spy for the status information to the rotating machinery got
Sign is extracted, and generates the status monitoring information of rotating machinery, and the status monitoring information is stored to database；
Fault diagnosis module diagnoses the latent of rotating machinery for carrying out secondary analysis to the information after feature extraction
In failure, wherein the secondary analysis includes: time-domain analysis, spectrum analysis, time series analysis, model analysis, statistical analysis
And/or order ratio analysis；
Fault pre-alarming module carries out early warning for the incipient fault to the rotating machinery；
Health evaluating module, for the basic information and status information according to the rotating machinery got, analysis rotation
Turn the performance degradation trend of mechanical equipment, assess the health status of rotating machinery, while generating the strong of rotating machinery
Health archives are simultaneously stored into database, and determine the Health Category of rotating machinery, when the Health Category is beyond preset
When Health Category, rotating machinery health status warning information is issued；
Life prediction module for the health status according to rotating machinery, and combines preset equipment life to predict
Model predicts that the remaining life of rotating machinery, the preset equipment life prediction model includes: gray prediction
Model, proportional hazard model, artificial nerve network model and/or Kalman filter model.
Optionally, the maintenance project generation unit includes:
Maintenance project generation module generates rotating machinery for the incipient fault diagnostic result according to rotating machinery
The active repair and maintenance production plan of equipment, maintenance and repair parts procurement plan, Maintenance Resource plan of distribution simultaneously carry out maintenance task tune
Degree and maintenance policy optimization；
Repair message memory module, for according to maintenance as a result, storing repair message into database；
Wherein, the maintenance task scheduling includes: according to the importance of rotating machinery, reliability, maintainability, can supervise
The property surveyed, economy, maintainability are scheduled maintenance personal, maintenance and repair parts, maintenance fund, maintenance tool and maintenance time；
Maintenance policy optimization include: according to the importance of rotating machinery, reliability, maintainability, monitoring property,
Economy, maintainability carry out decision to maintenance mode, maintenance type, maintenance opportunity.
Optionally, the maintenance project generation module includes:
Expert knowledge library generates submodule, for depositing the early stage processing method for being directed to the incipient fault of rotating machinery
It stores up to database, and generates the Dynamic Maintenance expert knowledge library of rotating machinery incipient fault；
Failure mode determines submodule, for analyzing current rotating machinery by the Dynamic Maintenance expert knowledge library
Incipient fault diagnostic result relevant parameter, determine the type for causing the rotating machinery incipient fault；
Active repair and maintenance generation module, for generate the rotating machinery active repair and maintenance production plan and
Corresponding processing method.
The advantageous effects of the above technical solutions of the present invention are as follows:
In above scheme, by the basic information and status information according to the rotating machinery got to rotating machinery
The operating status of equipment is monitored, and is diagnosed the incipient fault of rotating machinery and is assessed the healthy shape of rotating machinery
State, while predicting the remaining life of rotating machinery；And according to the incipient fault diagnostic result of rotating machinery, rotation is generated
Turn the maintenance project of mechanical equipment.In this way, basic information and status information by integrating rotating machinery, to rotating machinery
The health status of equipment is assessed, and is predicted its remaining life, while to the potential of the rotating machinery of diagnosis
Failure determines reasonable maintenance time, so that can be repaired before failure generation, is ensureing rotating machinery reliability
Under the premise of reduce the maintenance cost of whole equipment system to the maximum extent, reduce maintenance workload, improve the work of plant maintenance
Make efficiency and equipment service efficiency.
Detailed description of the invention
Fig. 1 is the method stream of thermal power plant's rotating machinery health control method provided in an embodiment of the present invention based on Internet of Things
Cheng Tu；
Fig. 2 is that the performance state of thermal power plant's rotating machinery provided in an embodiment of the present invention changes schematic diagram；
Fig. 3 is the health status degenerative process schematic diagram of thermal power plant's rotating machinery provided in an embodiment of the present invention.
Specific embodiment
To keep the technical problem to be solved in the present invention, technical solution and advantage clearer, below in conjunction with attached drawing and tool
Body embodiment is described in detail.
The present invention problem incomplete and practical for the health management system arranged function of existing equipment, provides a kind of base
In the thermal power plant's rotating machinery health control method and system of Internet of Things
Embodiment one
Referring to shown in Fig. 1, thermal power plant's rotating machinery health control method provided in an embodiment of the present invention based on Internet of Things,
Include:
Obtain the basic information and status information of rotating machinery；
The operating status of rotating machinery is monitored according to the basic information and status information that get, is examined
The incipient fault of disconnected rotating machinery and the health status for assessing rotating machinery, while predicting rotating machinery
Remaining life；
According to the incipient fault diagnostic result of rotating machinery, the maintenance project of rotating machinery is generated.
Thermal power plant's rotating machinery health control method described in the embodiment of the present invention based on Internet of Things, by according to acquisition
To rotating machinery basic information and status information the operating status of rotating machinery is monitored, diagnosis rotation
The incipient fault of mechanical equipment and the health status for assessing rotating machinery, while predicting the remaining longevity of rotating machinery
Life；And according to the incipient fault diagnostic result of rotating machinery, the maintenance project of rotating machinery is generated.In this way, passing through
The basic information and status information for integrating rotating machinery, assess the health status of rotating machinery, and to it
Remaining life is predicted, while determining reasonable maintenance time to the incipient fault of the rotating machinery of diagnosis, so that
Failure can be repaired before occurring, and reduce whole equipment to the maximum extent under the premise of ensureing rotating machinery reliability
The maintenance cost of system reduces maintenance workload, improves the working efficiency and equipment service efficiency of plant maintenance.
In the specific embodiment of aforementioned thermal power plant's rotating machinery health control method based on Internet of Things, optionally,
The basic data for obtaining rotating machinery and status information include:
It obtains the essential information of rotating machinery, fault message, repair message and stores to database, the basic letter
Breath include: rotating machinery device manufacturer provide equipment reliability maintainability and supportability information, device numbering,
Device name and/or model specification；
When rotating machinery operation, the real time status information of each default monitoring point of rotating machinery is obtained.
In the embodiment of the present invention, in order to make the thermal power plant rotating machinery health control side provided by the invention based on Internet of Things
Method can play one's part to the full, and first have to the relevant information for guaranteeing to get sufficient rotating machinery, the related letter
Breath includes: essential information, repair message and the status information etc. for obtaining rotating machinery, and the essential information includes: rotation
The reliability maintainability and supportability information for the equipment that the device manufacturer of mechanical equipment provides, device numbering, device name and/
Or model specification etc. need to rely on the operating status letter of rotating machinery by taking the incipient fault for diagnosing rotating machinery as an example
Breath；For another example, when incipient fault occurs for rotating machinery, maintenance policy optimization and maintenance task scheduling require to rely on rotation
Importance, reliability, the maintainability information of mechanical equipment, fault data and maintenance history data.
In the embodiment of the present invention, it is, for example, possible to use data collecting instruments, in a wired or wireless manner rapidly with rotation
Sensor connection on mechanical equipment, acquires the running state information of rotating machinery, and be transmitted to master controller；It can be with
It can not be set by failure and situ characterization that electronic signal describes, such as purely mechanic failure using the acquisition of video and audio data collection instrument
Standby running environment etc. can be communicated by the video/audio at scene, such as the side described in camera picture, scene dialogue and picture character
Formula solves.
In the specific embodiment of aforementioned thermal power plant's rotating machinery health control method based on Internet of Things, optionally,
The basic information and status information that the basis is got are monitored the operating status of rotating machinery, diagnosis rotation
Turn the incipient fault of mechanical equipment and assess the health status of rotating machinery, while predicting the residue of rotating machinery
Service life includes:
Signal processing and feature extraction are carried out to the status information of the rotating machinery got, rotating machinery is generated and sets
Standby status monitoring information, and the status monitoring information is stored to database；
Secondary analysis is carried out to the information after feature extraction, diagnoses the incipient fault of rotating machinery, while will be potential
Fault diagnosis result is stored into database, and carries out early warning to the incipient fault of the rotating machinery, wherein described two
Secondary analysis includes: time-domain analysis, spectrum analysis, time series analysis, model analysis, statistical analysis and/or order ratio analysis；
According to the basic information and status information of the rotating machinery got, the performance for analyzing rotating machinery declines
It moves back trend, assess the health status of rotating machinery, while generating the health account of rotating machinery and storing to data
It in library, and determines the Health Category of rotating machinery, when the Health Category exceeds preset Health Category, issues rotation
Mechanical equipment health status warning information；
According to the health status of rotating machinery, and combine preset equipment life prediction model to rotating machinery
Remaining life predicted, the preset equipment life prediction model include: grey forecasting model, proportional hazard model,
Artificial nerve network model and/or Kalman filter model.
In the embodiment of the present invention, if the incipient fault of rotating machinery cannot diagnose accurately and in time, just can not yet
Carry out effective maintenance of equipment.The present invention uses time-domain analysis, spectrum analysis, time series analysis, model analysis, statistical analysis
And/or the methods of order ratio analysis diagnoses the incipient fault of rotating machinery, and fault diagnosis result is stored to number
According in library.
In the embodiment of the present invention, the incipient fault of rotating machinery refers to certain physical parameter tables of rotating machinery
The functional fault of bright equipment will occur.Referring to shown in Fig. 2, it is recognizable to illustrate that rotating machinery develops to for " P " point on figure
The degree of incipient fault, " F " point indicates incipient fault, and oneself has been developed to functional fault, and the interval P-F shows that rotating machinery is set
The standby time interval from incipient fault development and change to functional fault, P-F interval time length and rotating machinery
Type is related, and the interval P-F of each rotating machinery is different, can be by several seconds to several years, for catastrophic failure when P-F
Between be spaced it is just very short, it is longer for P-F interval explanation can there are more times to carry out prevention apparatus functional fault generation.
In the embodiment of the present invention, it show the degenerative process of the health status of rotating machinery referring to Fig. 3, with the time
Passage, the health status of rotating machinery drops to the process of disabler from normal condition.By rotating machinery
The degenerative process of health status is it is found that rotating machinery health control method should not only have the failure inspection of rotating machinery
Survey ability also wants the change procedure that can monitor the health status of rotating machinery, and can predict rotating machinery
Remaining life.
In the embodiment of the present invention, according to the status information of the rotating machinery got, and rotating machinery is combined
Essential information, fault message, repair message, the performance degradation that can periodically or non-periodically analyze rotating machinery becomes
Gesture makes assessment to the health status of rotating machinery, and turns the health account of mechanical equipment simultaneously according to assessment result generation
It stores into database, and determines the Health Category of rotating machinery, when the Health Category exceeds preset Health Category
When, issue rotating machinery health status warning information, that is to say, that when there is deterioration sign in rotating machinery, Xiang Xiangguan
The user of service of rotating machinery, maintenance personal or administrative staff issue warning information.
In the embodiment of the present invention, according to the health status of rotating machinery, pass through grey forecasting model, Proportional hazards mould
The remaining life of type, artificial nerve network model and/or Kalman filter model prediction rotating machinery or part of appliance,
Before rotating machinery major accident occurs, it is ensured that there is time enough to implement maintenance.
In the specific embodiment of aforementioned thermal power plant's rotating machinery health control method based on Internet of Things, optionally,
The incipient fault diagnostic result according to rotating machinery, the maintenance project for generating rotating machinery include:
According to the incipient fault diagnostic result of rotating machinery, the active repair and maintenance operation of rotating machinery is generated
Plan, maintenance and repair parts procurement plan, Maintenance Resource plan of distribution simultaneously carry out maintenance task scheduling and maintenance policy optimization；
According to maintenance as a result, storing repair message into database；
Wherein, the maintenance task scheduling includes: according to the importance of rotating machinery, reliability, maintainability, can supervise
The property surveyed, economy, maintainability are scheduled maintenance personal, maintenance and repair parts, maintenance fund, maintenance tool and maintenance time；
Maintenance policy optimization include: according to the importance of rotating machinery, reliability, maintainability, monitoring property,
Economy, maintainability carry out decision to maintenance mode, maintenance type, maintenance opportunity.
In the embodiment of the present invention, according to the incipient fault diagnostic result of rotating machinery, rotating machinery is generated
Dimension plan is repaired, is repairing dimension in the works, needs to generate specific active repair and maintenance production plan, maintenance and repair parts procurement plan, dimension
Repair allocation plan of physical resources and excite maintenance task scheduling feature and maintenance policy optimization function, try hard to keep rotating machinery from
Rotating machinery is repaired before incipient fault development and change to functional fault, to reduce maintenance cost, is improved
Equipment service efficiency obtains great economic benefit.
In the embodiment of the present invention, maintenance task scheduling feature needs the importance, reliability, dimension according to rotating machinery
Repairing property, monitoring property, economy, maintainability are to maintenance personal, maintenance and repair parts, maintenance fund, maintenance tool and maintenance time
Etc. information be scheduled；Maintenance policy optimize function need according to the importance of rotating machinery, reliability, maintainability, can
Monitoring property, economy, maintainability carry out decision to information such as maintenance mode, maintenance type, maintenance opportunitys, for example, according to rotation
The state and service condition for turning mechanical equipment determine its maintenance type (overhaul, in repair, light maintenance), maintenance range (overall, component),
When maintenance opportunity (repairs), and can optimize to maintenance mode.
In the specific embodiment of aforementioned thermal power plant's rotating machinery health control method based on Internet of Things, optionally,
The incipient fault diagnostic result according to rotating machinery generates the active repair and maintenance production plan of rotating machinery
Include:
The early stage processing method of incipient fault for rotating machinery is stored to database, and generates rotating machinery
The Dynamic Maintenance expert knowledge library of equipment incipient fault；
The pass of the incipient fault diagnostic result of current rotating machinery is analyzed by the Dynamic Maintenance expert knowledge library
Join parameter, determine the type for causing the rotating machinery incipient fault, and generates the active inspection of the rotating machinery
Repair upkeep operation plan and corresponding processing method.
In the embodiment of the present invention, the early stage processing method storage of the incipient fault of all rotating machineries can be arrived
In database, by the continuous accumulation of the early stage processing method of the incipient fault of rotating machinery, gradually form for rotation
The Dynamic Maintenance expert knowledge library of mechanical equipment incipient fault；It can be to current rotation according to the Dynamic Maintenance expert knowledge library
The relevant parameter of the diagnostic result of the incipient fault of mechanical equipment is analyzed, and is determined and is caused rotating machinery incipient fault
Type and incipient fault are by the time of generation, and generating device active repair and maintenance production plan and corresponding processing method,
Wherein, the type of the rotating machinery incipient fault includes: rotor unbalance, rotor misalignment, rotor bow, oil film whirlpool
Dynamic, oil whip, surge, static pieces friction, rotor crack, spinner support loosening etc..
Embodiment two
The health management system arranged specific embodiment of thermal power plant's rotating machinery based on Internet of Things that the present invention also provides a kind of,
Since thermal power plant's rotating machinery provided by the invention based on Internet of Things is health management system arranged and the aforementioned thermoelectricity based on Internet of Things
The specific embodiment of factory's rotating machinery health control method is corresponding, should thermal power plant's rotating machinery health pipe based on Internet of Things
Reason system can be achieved the object of the present invention by executing the process step in above method specific embodiment, therefore above-mentioned
Explanation in thermal power plant's rotating machinery health control method specific embodiment based on Internet of Things, is also applied for the present invention
The health management system arranged specific embodiment of the thermal power plant's rotating machinery based on Internet of Things provided is below specific in the present invention
It will not be described in great detail in embodiment.
It is health management system arranged that the embodiment of the present invention also provides a kind of thermal power plant's rotating machinery based on Internet of Things, comprising:
Information acquisition unit: for obtaining the basic information and status information of rotating machinery；
Health control unit: for the fortune according to the basic information and status information got to rotating machinery
Row state is monitored, and is diagnosed the incipient fault of rotating machinery and is assessed the health status of rotating machinery, while pre-
Survey the remaining life of rotating machinery；
Maintenance project generation unit: for the incipient fault diagnostic result according to rotating machinery, rotating machinery is generated
The maintenance project of equipment.
Thermal power plant's rotating machinery described in the embodiment of the present invention based on Internet of Things is health management system arranged, by according to acquisition
To rotating machinery basic information and status information the operating status of rotating machinery is monitored, diagnosis rotation
The incipient fault of mechanical equipment and the health status for assessing rotating machinery, while predicting the remaining longevity of rotating machinery
Life；And according to the incipient fault diagnostic result of rotating machinery, the maintenance project of rotating machinery is generated.In this way, passing through
The basic information and status information for integrating rotating machinery, assess the health status of rotating machinery, and to it
Remaining life is predicted, while determining reasonable maintenance time to the incipient fault of the rotating machinery of diagnosis, so that
Failure can be repaired before occurring, and reduce whole equipment to the maximum extent under the premise of ensureing rotating machinery reliability
The maintenance cost of system reduces maintenance workload, improves the working efficiency and equipment service efficiency of plant maintenance.
In the health management system arranged specific embodiment of aforementioned thermal power plant's rotating machinery based on Internet of Things, optionally,
The information acquisition unit includes:
Basic information obtains module, for obtaining the essential information of rotating machinery, fault message, repair message and depositing
To database, the essential information includes: the reliability for the equipment that the device manufacturer of rotating machinery provides, maintenance for storage
Property, protection information, device numbering, device name and/or model specification；
State information acquisition module, for when rotating machinery operation, obtaining each default of rotating machinery
The real time status information of monitoring point.
In the health management system arranged specific embodiment of aforementioned thermal power plant's rotating machinery based on Internet of Things, optionally,
The health control unit includes:
Monitoring information generation module carries out signal processing and spy for the status information to the rotating machinery got
Sign is extracted, and generates the status monitoring information of rotating machinery, and the status monitoring information is stored to database；
Fault diagnosis module diagnoses the latent of rotating machinery for carrying out secondary analysis to the information after feature extraction
In failure, wherein the secondary analysis includes: time-domain analysis, spectrum analysis, time series analysis, model analysis, statistical analysis
And/or order ratio analysis；
Fault pre-alarming module carries out early warning for the incipient fault to the rotating machinery；
Health evaluating module, for the basic information and status information according to the rotating machinery got, analysis rotation
Turn the performance degradation trend of mechanical equipment, assess the health status of rotating machinery, while generating the strong of rotating machinery
Health archives are simultaneously stored into database, and determine the Health Category of rotating machinery, when the Health Category is beyond preset
When Health Category, rotating machinery health status warning information is issued；
Life prediction module for the health status according to rotating machinery, and combines preset equipment life to predict
Model predicts that the remaining life of rotating machinery, the preset equipment life prediction model includes: gray prediction
Model, proportional hazard model, artificial nerve network model and/or Kalman filter model.
In the health management system arranged specific embodiment of aforementioned thermal power plant's rotating machinery based on Internet of Things, optionally,
The maintenance project generation unit includes:
Maintenance project generation module generates rotating machinery for the incipient fault diagnostic result according to rotating machinery
The active repair and maintenance production plan of equipment, maintenance and repair parts procurement plan, Maintenance Resource plan of distribution simultaneously carry out maintenance task tune
Degree and maintenance policy optimization；
Repair message memory module, for according to maintenance as a result, storing repair message into database；
Wherein, the maintenance task scheduling includes: according to the importance of rotating machinery, reliability, maintainability, can supervise
The property surveyed, economy, maintainability are scheduled maintenance personal, maintenance and repair parts, maintenance fund, maintenance tool and maintenance time；
Maintenance policy optimization include: according to the importance of rotating machinery, reliability, maintainability, monitoring property,
Economy, maintainability carry out decision to maintenance mode, maintenance type, maintenance opportunity.
In the health management system arranged specific embodiment of aforementioned thermal power plant's rotating machinery based on Internet of Things, optionally,
The maintenance project generation module includes:
Expert knowledge library generates submodule, for depositing the early stage processing method for being directed to the incipient fault of rotating machinery
It stores up to database, and generates the Dynamic Maintenance expert knowledge library of rotating machinery incipient fault；
Failure mode determines submodule, for analyzing current rotating machinery by the Dynamic Maintenance expert knowledge library
Incipient fault diagnostic result relevant parameter, determine the type for causing the rotating machinery incipient fault；
Active repair and maintenance generation module, for generate the rotating machinery active repair and maintenance production plan and
Corresponding processing method.
The above is a preferred embodiment of the present invention, it is noted that for those skilled in the art
For, without departing from the principles of the present invention, it can also make several improvements and retouch, these improvements and modifications
It should be regarded as protection scope of the present invention.
Claims (6)
1. a kind of thermal power plant's rotating machinery health control method based on Internet of Things characterized by comprising
Obtain the basic information and status information of rotating machinery；
The operating status of rotating machinery is monitored according to the basic information and status information that get, diagnosis rotation
Turn the incipient fault of mechanical equipment and assess the health status of rotating machinery, while predicting the residue of rotating machinery
Service life；
According to the incipient fault diagnostic result of rotating machinery, the maintenance project of rotating machinery is generated；
Wherein, the basic information for obtaining rotating machinery and status information include:
It obtains the essential information of rotating machinery, fault message, repair message and stores to database, the essential information packet
It includes: the reliability maintainability and supportability information for the equipment that the device manufacturer of rotating machinery provides, device numbering, equipment
Title and/or model specification；
When rotating machinery operation, the real time status information of each default monitoring point of rotating machinery is obtained；
Wherein, the basic information and status information that the basis is got supervise the operating status of rotating machinery
It surveys, diagnoses the incipient fault of rotating machinery and assess the health status of rotating machinery, while predicting that rotating machinery is set
Standby remaining life includes:
Signal processing and feature extraction are carried out to the status information of the rotating machinery got, generate rotating machinery
Status monitoring information, and the status monitoring information is stored to database；
Secondary analysis is carried out to the information after feature extraction, diagnoses the incipient fault of rotating machinery, while by incipient fault
Diagnostic result is stored into database, and carries out early warning to the incipient fault of the rotating machinery, wherein described secondary point
Analysis includes: time-domain analysis, spectrum analysis, time series analysis, model analysis, statistical analysis and/or order ratio analysis；
According to the basic information and status information of the rotating machinery got, the performance degradation for analyzing rotating machinery becomes
Gesture, the health status for assessing rotating machinery, while generating the health account of rotating machinery and storing into database,
And determine the Health Category of rotating machinery, when the Health Category exceeds preset Health Category, issue rotating machinery
Equipment health status warning information；
Rotating machinery is remained according to the health status of rotating machinery, and in conjunction with preset equipment life prediction model
The remaining service life predicted, the preset equipment life prediction model includes: grey forecasting model, proportional hazard model, artificial
Neural network model and/or Kalman filter model.
2. the method according to claim 1, wherein described diagnosed according to the incipient fault of rotating machinery is tied
Fruit, the maintenance project for generating rotating machinery include:
According to the incipient fault diagnostic result of rotating machinery, the active repair and maintenance operation meter of rotating machinery is generated
Draw, maintenance and repair parts procurement plan, Maintenance Resource plan of distribution and carry out maintenance task scheduling and maintenance policy optimization；
According to maintenance as a result, storing repair message into database；
Wherein, the maintenance task scheduling includes: according to the importance of rotating machinery, reliability, maintainability, can monitor
Property, economy, maintainability are scheduled maintenance personal, maintenance and repair parts, maintenance fund, maintenance tool and maintenance time；
The maintenance policy optimization includes: according to the importance of rotating machinery, reliability, maintainability, monitoring property, economy
Property, maintainability to maintenance mode, maintenance type, maintenance opportunity carry out decision.
3. according to the method described in claim 2, it is characterized in that, described diagnosed according to the incipient fault of rotating machinery is tied
Fruit, the active repair and maintenance production plan for generating rotating machinery include:
The early stage processing method of incipient fault for rotating machinery is stored to database, and generates rotating machinery
The Dynamic Maintenance expert knowledge library of incipient fault；
The association ginseng of the incipient fault diagnostic result of current rotating machinery is analyzed by the Dynamic Maintenance expert knowledge library
Number determines the type for causing the rotating machinery incipient fault, and generates the active maintenance dimension of the rotating machinery
Protect production plan and corresponding processing method.
4. a kind of thermal power plant's rotating machinery based on Internet of Things is health management system arranged characterized by comprising
Information acquisition unit: for obtaining the basic information and status information of rotating machinery；
Health control unit: for the operation shape according to the basic information and status information got to rotating machinery
State is monitored, and is diagnosed the incipient fault of rotating machinery and is assessed the health status of rotating machinery, while predicting to revolve
Turn the remaining life of mechanical equipment；
Maintenance project generation unit: for the incipient fault diagnostic result according to rotating machinery, rotating machinery is generated
Maintenance project；
Wherein, the information acquisition unit includes:
Basic information obtains module, for obtain the essential information of rotating machinery, fault message, repair message and store to
Database, the essential information include: reliability, the maintainability, guarantor for the equipment that the device manufacturer of rotating machinery provides
Barrier property information, device numbering, device name and/or model specification；
State information acquisition module, for obtaining each default monitoring of rotating machinery when rotating machinery operation
The real time status information of point；
Wherein, the health control unit includes:
Monitoring information generation module carries out signal processing for the status information to the rotating machinery got and feature mentions
It takes, generates the status monitoring information of rotating machinery, and the status monitoring information is stored to database；
Fault diagnosis module diagnoses the potential event of rotating machinery for carrying out secondary analysis to the information after feature extraction
Barrier, wherein the secondary analysis include: time-domain analysis, spectrum analysis, time series analysis, model analysis, statistical analysis and/
Or order ratio analysis；
Fault pre-alarming module carries out early warning for the incipient fault to the rotating machinery；
Health evaluating module analyzes whirler for the basic information and status information according to the rotating machinery got
The performance degradation trend of tool equipment, the health status for assessing rotating machinery, while generating the healthy shelves of rotating machinery
Case is simultaneously stored into database, and determines the Health Category of rotating machinery, when the Health Category exceeds preset health
When grade, rotating machinery health status warning information is issued；
Life prediction module for the health status according to rotating machinery, and combines preset equipment life prediction model
The remaining life of rotating machinery is predicted, the preset equipment life prediction model include: grey forecasting model,
Proportional hazard model, artificial nerve network model and/or Kalman filter model.
5. system according to claim 4, which is characterized in that the maintenance project generation unit includes:
Maintenance project generation module generates rotating machinery for the incipient fault diagnostic result according to rotating machinery
Active repair and maintenance production plan, maintenance and repair parts procurement plan, Maintenance Resource plan of distribution and carry out maintenance task scheduling and
Maintenance policy optimization；
Repair message memory module, for according to maintenance as a result, storing repair message into database；
Wherein, the maintenance task scheduling includes: according to the importance of rotating machinery, reliability, maintainability, can monitor
Property, economy, maintainability are scheduled maintenance personal, maintenance and repair parts, maintenance fund, maintenance tool and maintenance time；
The maintenance policy optimization includes: according to the importance of rotating machinery, reliability, maintainability, monitoring property, economy
Property, maintainability to maintenance mode, maintenance type, maintenance opportunity carry out decision.
6. system according to claim 5, which is characterized in that the maintenance project generation module includes:
Expert knowledge library generate submodule, for by the early stage processing method for being directed to the incipient fault of rotating machinery store to
Database, and generate the Dynamic Maintenance expert knowledge library of rotating machinery incipient fault；
Failure mode determines submodule, for analyzing the latent of current rotating machinery by the Dynamic Maintenance expert knowledge library
In the relevant parameter of fault diagnosis result, the type for causing the rotating machinery incipient fault is determined；
Active repair and maintenance generation module, for generating the active repair and maintenance production plan of the rotating machinery and corresponding
Processing method.
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