CN104766138A - Thermal power plant equipment property evaluation and early warning method and system based on industrial internet - Google Patents
Thermal power plant equipment property evaluation and early warning method and system based on industrial internet Download PDFInfo
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Abstract
The invention provides a thermal power plant equipment property evaluation and early warning method and system based on the industrial internet. The method and the system can solve the problem of the wide gap between original operating data of equipment and equipment property management. The method comprises the steps that an equipment data model is generated according to the historical operating data of the equipment, and by correcting the equipment data model in real time according to real-time operating data of the equipment, an equipment dynamic model is generated; the equipment dynamic model is used for analyzing the real-time operating data of the equipment to generate a predicated value, and the predicated value and a site measured value are analyzed and compared to evaluate the equipment property; early warning is carried out for potential faults of the equipment. The system comprises a dynamic model generating unit used for generating the equipment dynamic model, a property evaluation unit used for evaluating the equipment property, and a fault early warning unit used for carrying out early warning for the potential faults of the equipment. The method and the system are suitable for the technical field of communication.
Description
Technical field
The present invention relates to communication technical field, refer to a kind of Power Plant Equipment Performance Evaluation based on industry internet and method for early warning and system especially.
Background technology
In recent years, along with economic continuous high speed increases, new round power construction is just like a raging fire carrying out, simultaneously, along with the concentrated of newly-built thermal power plant puts into operation, plant level supervisory information system (Supervisory InformationSystem in plant level, SIS) also China thermal power plant popularize rapidly.By the construction of SIS system, the infosystem of thermal power plant can be dropped into and the production management of thermal power plant combines more closely, SIS system efficiently solves the wide gap between production control and production management.Due to the application that SIS system is towards level of factory, along with putting into operation of newly-built thermal power plant, the operational management of SIS system and the Continual Improvement of application will be the keys determining SIS viability, and the actual application value how improving SIS by ladder of management is also the problem that each investment SIS thermal power plant needs to pay attention to and consider.Along with popularizing of SIS, based on the application also gradual perfection in practice of SIS database, rise on June 1st, 2005 and formally issued and implemented " firepower ignition power plant level supervisory information system technical conditions " by National Development and Reform Committee, as the standard of power industry SIS system, this standard is that the development that following SIS applies specifies direction.Explicitly point out in this standard: the process equipment status monitoring of thermal power plant and Performance Evaluation are vital application of SIS system.
The equipment performance management of thermal power plant's level of factory or unit level comprises parametric degree, device level and system-level equipment on-line monitoring and performance diagnogtics, Power Plant Equipment comprises large fan, small-sized fan and pump, wherein, large fan comprises: induced draft fan, pressure fan, primary air fan, desulphurization devices etc.; Small-sized fan comprises: seal fan, oxidation fan, flame failure protection blower fan, the stalk exhaust fan etc.; Pump comprises: water circulating pump, condensate pump, feed pump etc., because thermal power plant also exists a large amount of slewings and non-rotating equipment, equipment or system object mostly are complicated Multivariable Coupling system, along with the change of operation hours and running environment, the dynamic property of equipment is also changing at any time, and running status and actual performance how accurately to understand current all devices are also the keys realizing level of factory equipment state performance management.At present, the equipment failure monitoring system that relative closure single-point runs cannot realize large-scale level of factory equipment dynamic modeling, owing to not reacting the dynamic model of current device state, the online evaluation of equipment performance is become very difficult, realize the management of level of factory equipment performance and also become very difficult.Large thermal power plant comprises advanced dcs (Distributed Control System in the input of Back ground Information, DCS), the level of factory of SIS in real time/history data storehouse system, enterprise asset management (Enterprise Asset Management, EAM) system and information management system (Management Information System, MIS) etc.The raw operational data of in store large number quipments is gathered in DCS and SIS database, and the equipment maintenance and management system such as equipment preventive management maintenance and equipment performance assessment experts system it is desirable that the dynamic performance data of equipment, at present, also lack a unified equipment performance management platform between the device data acquisition of thermal power plant and equipment state performance evaluation process, cause the on-line performance evaluate of level of factory equipment just to become very difficult.
Summary of the invention
In view of this, the embodiment of the present invention provides based on the Power Plant Equipment Performance Evaluation of industry internet and method for early warning and system, the wide gap between equipment raw operational data and equipment performance management can be solved, and then substantially increase reliability and the utilization factor of equipment.
For solving the problems of the technologies described above, the embodiment of the present invention provides a kind of Power Plant Equipment Performance Evaluation based on industry internet and method for early warning, comprising:
History data according to equipment generates device data model, and is revised in real time described device data model by the real-time running data of equipment, generates equipment dynamic model;
By described equipment dynamic model, analysis generation forecast value is carried out to the real-time running data of equipment, and described predicted value and field measurement value are carried out com-parison and analysis, assessment apparatus performance;
According to performance evaluation result, early warning is carried out to the incipient fault of equipment.
Alternatively, the described history data according to equipment generates device data model, and is revised in real time described device data model by the real-time running data of equipment, generates equipment dynamic model and comprises:
The history data of acquisition equipment, and described history data is stored;
By analyzing the described history data stored, generate device data model;
The real-time running data of acquisition equipment, and described real-time running data is stored;
Described real-time running data according to obtaining is revised in real time to described device data model, generates equipment dynamic model.
Alternatively, the real-time running data of described acquisition equipment comprises:
When the apparatus is in operation, the real-time running data of each default monitoring point of equipment is obtained.
Alternatively, describedly carry out analysis generation forecast value by described equipment dynamic model to the real-time running data of equipment, and described predicted value and field measurement value are carried out com-parison and analysis, assessment apparatus performance comprises:
Analyzed by the real-time running data of described equipment dynamic model to each the default monitoring point obtained, generate the predicted value for each default monitoring point;
The field measurement value of each default monitoring point of acquisition equipment;
Described predicted value and the described field measurement value corresponding with described predicted value are compared and statistical analysis, assessment apparatus performance.
Alternatively, describedly according to performance evaluation result, early warning is carried out to the incipient fault of equipment and comprises:
According to performance evaluation result, in conjunction with early warning constraint condition and the advanced warning grade classified information of the equipment performance preset, early warning is carried out to the incipient fault of equipment, and generates the incipient fault early warning information of equipment performance, wherein, described incipient fault early warning information comprises advanced warning grade classification.
On the other hand, the embodiment of the present invention also provides a kind of Power Plant Equipment Performance Evaluation based on industry internet and early warning system, comprising:
Generate dynamic model unit: generate device data model for the history data according to equipment, and by the real-time running data of equipment, described device data model is revised in real time, generate equipment dynamic model;
Performance Evaluation unit: for carrying out analysis generation forecast value by described equipment dynamic model to the real-time running data of equipment, and described predicted value and field measurement value are carried out com-parison and analysis, assessment apparatus performance;
Fault pre-alarming unit: for carrying out early warning according to performance evaluation result to the incipient fault of equipment.
Alternatively, described generation dynamic model unit comprises:
History data store module: for obtaining the history data of equipment, and described history data is stored;
Generate data model module: for by analyzing the described history data stored, generate device data model;
Real-time data memory module: for obtaining the real-time running data of equipment, and described real-time running data is stored;
Generate dynamic model module: for revising in real time described device data model according to the described real-time running data obtained, generate equipment dynamic model.
Alternatively, described real-time data memory module comprises:
Real time data acquisition submodule: for when the apparatus is in operation, obtain the real-time running data of each default monitoring point of equipment.
Alternatively, described Performance Evaluation unit comprises:
Real-time data analysis module: for being analyzed by the real-time running data of described equipment dynamic model to each the default monitoring point obtained, generate the predicted value for each default monitoring point;
Field measurement value acquisition module: for obtaining the field measurement value of each default monitoring point of equipment;
Performance estimation module: for described predicted value and the described field measurement value corresponding with described predicted value are compared and statistical analysis, assessment apparatus performance.
Alternatively, described fault pre-alarming unit: also for according to performance evaluation result, in conjunction with early warning constraint condition and the advanced warning grade classified information of the equipment performance preset, early warning is carried out to the incipient fault of equipment, and generate the incipient fault early warning information of equipment performance, wherein, described incipient fault early warning information comprises advanced warning grade classification.
The beneficial effect of technique scheme of the present invention is as follows:
In such scheme, by the real-time running data of equipment, the device data model utilizing the history data of equipment to generate is revised in real time, generation equipment dynamic model, and by described equipment dynamic model, analysis generation forecast value is carried out to the real-time running data of equipment, and described predicted value and field measurement value are carried out com-parison and analysis, assessment apparatus performance, then according to performance evaluation result, early warning is carried out to the incipient fault of equipment.Like this, by the equipment performance appraisal procedure based on equipment dynamic model, and equipment dynamic model and early warning operation are combined, wide gap between effective solution equipment raw operational data and equipment performance management, and then substantially increase reliability and the utilization factor of equipment, improve the actual production efficiency of whole thermal power plant.
Accompanying drawing explanation
Fig. 1 for the embodiment of the present invention provide based on the Power Plant Equipment Performance Evaluation of industry internet and the process flow diagram of method for early warning;
Fig. 2 is the specific implementation method process flow diagram of S102 in Fig. 1;
Fig. 3 for the embodiment of the present invention provide based on the Power Plant Equipment Performance Evaluation of industry internet and the structural representation of early warning system;
Fig. 4 is the detailed construction schematic diagram of in Fig. 3 102.
Embodiment
For making the technical problem to be solved in the present invention, technical scheme and advantage clearly, be described in detail below in conjunction with the accompanying drawings and the specific embodiments.
Embodiment one
Shown in Fig. 1, a kind of Power Plant Equipment Performance Evaluation based on industry internet that the embodiment of the present invention provides and method for early warning, comprising:
S101: the history data according to equipment generates device data model, and is revised in real time described device data model by the real-time running data of equipment, generates equipment dynamic model;
S102: analysis generation forecast value is carried out to the real-time running data of equipment by described equipment dynamic model, and described predicted value and field measurement value are carried out com-parison and analysis, assessment apparatus performance;
S103: early warning is carried out to the incipient fault of equipment according to performance evaluation result.
The Power Plant Equipment Performance Evaluation based on industry internet described in the embodiment of the present invention and method for early warning, by the real-time running data of equipment, the device data model utilizing the history data of equipment to generate is revised in real time, generation equipment dynamic model, and by described equipment dynamic model, analysis generation forecast value is carried out to the real-time running data of equipment, and described predicted value and field measurement value are carried out com-parison and analysis, assessment apparatus performance, then according to performance evaluation result, early warning is carried out to the incipient fault of equipment.Like this, by the equipment performance appraisal procedure based on equipment dynamic model, and equipment dynamic model and early warning operation are combined, wide gap between effective solution equipment raw operational data and equipment performance management, and then substantially increase reliability and the utilization factor of equipment, improve the actual production efficiency of whole thermal power plant.
In the embodiment of the present invention, Power Plant Equipment comprises large fan, small-sized fan and pump, and wherein, large fan comprises: induced draft fan, pressure fan, primary air fan, desulphurization devices etc.; Small-sized fan comprises: seal fan, oxidation fan, flame failure protection blower fan, the stalk exhaust fan etc.; Pump comprises: water circulating pump, condensate pump, feed pump etc.
Aforementioned based in the Power Plant Equipment Performance Evaluation of industry internet and the embodiment of method for early warning, alternatively, the described history data according to equipment generates device data model, and by the real-time running data of equipment, described device data model is revised in real time, generate equipment dynamic model and comprise:
The history data of acquisition equipment, and described history data is stored;
By analyzing the described history data stored, generate device data model;
The real-time running data of acquisition equipment, and described real-time running data is stored;
Described real-time running data according to obtaining is revised in real time to described device data model, generates equipment dynamic model.
In the embodiment of the present invention, for subsystems and the on-the-spot main auxiliary machine equipment run of power plant units, " the polynary modeling based on the similarity principle " technology of employing sets up the equipment dynamic model of whole thermal power plant, modeling process comprises: the history data first obtaining Power Plant Equipment, and described history data is stored, such as, described history data can be stored in database as Power Plant Equipment raw operational data, the bulk information that can react coupled relation between Power Plant Equipment moving law and device parameter is there is in these raw operational data, thus, the device data model obtained by carrying out analyzing and processing to the history data stored in database can react the coupled relation between the moving law of Power Plant Equipment and each parameter of equipment really, when the runnability of a certain equipment will be assessed, the real-time running data of this equipment need be obtained, and described real-time running data is stored, the real-time running data stored can as the raw operational data assessing this equipment performance next time, according to the described real-time running data obtained, described device data model is revised in real time again, generate equipment dynamic model.
In the embodiment of the present invention, due to history data is carried out analyzing and processing model of creation method adopt be Non-parameter modeling mode, thus, can avoid traditional constraints parametric type static modelling cannot accurate consersion unit actual conditions and need the drawback of a large amount of expert's manual intervention, greatly improve efficiency and precision that equipment dynamic model creates.Non-parameter modeling mode almost can solve the modeling of all machinery or flow sheet equipment, without the need to the runnability assessment and the early warning that need newly-increased measuring equipment just can realize equipment in conventional monitoring methods, and can investment reduction greatly.In addition, in conjunction with thermal power plant's variable working condition (such as, start and stop equipment) time the equipment feature that easily breaks down, bimodulus concurrent (Twing-Modeling) technology can be adopted, the concurrent multimode realizing individual equipment is run, and namely realizes freely switching between distinct device model when steady working condition and variable working condition.
Aforementioned based in the Power Plant Equipment Performance Evaluation of industry internet and the embodiment of method for early warning, alternatively, the real-time running data of described acquisition equipment comprises:
When the apparatus is in operation, the real-time running data of each default monitoring point of equipment is obtained.
In the embodiment of the present invention, when the runnability of a certain equipment will be assessed, the real-time running data of each default monitoring point of this equipment can be obtained according to the time interval of presetting.
Shown in Fig. 2, aforementioned based in the Power Plant Equipment Performance Evaluation of industry internet and the embodiment of method for early warning, alternatively, describedly by described equipment dynamic model, analysis generation forecast value is carried out to the real-time running data of equipment, and described predicted value and field measurement value are carried out com-parison and analysis, assessment apparatus performance (S102) comprising:
S1021: analyzed by the real-time running data of described equipment dynamic model to each the default monitoring point obtained, generate the predicted value for each default monitoring point;
S1022: the field measurement value obtaining each default monitoring point of equipment;
S1023: described predicted value and the described field measurement value corresponding with described predicted value are compared and statistical analysis, assessment apparatus performance.
In the embodiment of the present invention, the equipment dynamic model produced by " the polynary modeling based on similarity principle " principle can be analyzed for the real-time running data of the default monitoring point of each of equipment, generate the predicted value for each default monitoring point, this predicted value not only depends on the running status of current device, also coupled relation complicated between Supervision measuring point and the history run rule of equipment is depended on, the predicted value of each default monitoring point generated is compared and statistical analysis with the field measurement value of the default monitoring point of the corresponding with this predicted value of acquisition, assessment apparatus runnability, wherein, described predicted value is dynamic property predicted value, described field measurement value is field performance measured value.
Aforementioned based in the Power Plant Equipment Performance Evaluation of industry internet and the embodiment of method for early warning, alternatively, describedly according to performance evaluation result, early warning is carried out to the incipient fault of equipment and comprises:
According to performance evaluation result, in conjunction with early warning constraint condition and the advanced warning grade classified information of the equipment performance preset, early warning is carried out to the incipient fault of equipment, and generates the incipient fault early warning information of equipment performance, wherein, described incipient fault early warning information comprises advanced warning grade classification.
In the embodiment of the present invention, according to performance evaluation result and the early warning constraint condition and the advanced warning grade classified information that are stored in advance in the equipment performance in early warning platform, early warning is carried out to the incipient fault of equipment, and generates the incipient fault early warning information of equipment performance.Like this, the reliability of equipment performance incipient fault early warning and actual operability can be improved.
In the embodiment of the present invention; can also by the relevant parameter of incipient fault in the incipient fault early warning information analytical equipment of equipment performance; determine the possible cause of potential initiation equipment failure; equipment initiatively repair and maintenance production plan is generated according to described reason; realize the condition based maintenance of equipment, improve reliability and the actual operating efficiency of equipment, contingent equipment failure is eliminated in rudiment; and then reduce the generation of non-programmed halt accident, improve the production efficiency of whole factory.
In the embodiment of the present invention, can also the incipient fault early-warning processing method of all equipment performances be entered in Power Plant Equipment performance management system, by the continuous accumulation of the incipient fault early-warning processing method of equipment performance, form the Dynamic Maintenance expert knowledge library for equipment performance gradually; Can analyze the incipient fault early warning information of current device performance according to described Dynamic Maintenance expert knowledge library, determine the reason causing equipment failure, and generate equipment initiatively repair and maintenance production plan and corresponding disposal route.
Embodiment two
The present invention also provides a kind of based on the Power Plant Equipment Performance Evaluation of industry internet and the embodiment of early warning system, due to the Power Plant Equipment Performance Evaluation based on industry internet provided by the invention and early warning system and aforementioned based on the Power Plant Equipment Performance Evaluation of industry internet and the embodiment of method for early warning corresponding, object of the present invention should can be realized by the process step performed in said method embodiment based on the Power Plant Equipment Performance Evaluation of industry internet and early warning system, therefore the explanation explanation in the above-mentioned Power Plant Equipment Performance Evaluation based on industry internet and method for early warning embodiment, also be applicable to provided by the invention based on the Power Plant Equipment Performance Evaluation of industry internet and the embodiment of early warning system, to repeat no more in embodiment below the present invention.
Shown in Fig. 3, the embodiment of the present invention also provides a kind of Power Plant Equipment Performance Evaluation based on industry internet and early warning system, comprising:
Generate dynamic model unit 101: generate device data model for the history data according to equipment, and by the real-time running data of equipment, described device data model is revised in real time, generate equipment dynamic model;
Performance Evaluation unit 102: for carrying out analysis generation forecast value by described equipment dynamic model to the real-time running data of equipment, and described predicted value and field measurement value are carried out com-parison and analysis, assessment apparatus performance;
Fault pre-alarming unit 103: for carrying out early warning according to performance evaluation result to the incipient fault of equipment.
Described in the embodiment of the present invention, by the real-time running data of equipment, the device data model utilizing the history data of equipment to generate is revised in real time, generation equipment dynamic model, and by described equipment dynamic model, analysis generation forecast value is carried out to the real-time running data of equipment, and described predicted value and field measurement value are carried out com-parison and analysis, assessment apparatus performance, then according to performance evaluation result, early warning is carried out to the incipient fault of equipment.Like this, by the equipment performance appraisal procedure based on equipment dynamic model, and equipment dynamic model and early warning operation are combined, wide gap between effective solution equipment raw operational data and equipment performance management, and then substantially increase reliability and the utilization factor of equipment, improve the actual production efficiency of whole thermal power plant.
Aforementioned based in the Power Plant Equipment Performance Evaluation of industry internet and the embodiment of early warning system, alternatively, described generation dynamic model unit comprises:
History data store module: for obtaining the history data of equipment, and described history data is stored;
Generate data model module: for by analyzing the described history data stored, generate device data model;
Real-time data memory module: for obtaining the real-time running data of equipment, and described real-time running data is stored;
Generate dynamic model module: for revising in real time described device data model according to the described real-time running data obtained, generate equipment dynamic model.
Aforementioned based in the Power Plant Equipment Performance Evaluation of industry internet and the embodiment of early warning system, alternatively, described real-time data memory module comprises:
Real time data acquisition submodule: for when the apparatus is in operation, obtain the real-time running data of each default monitoring point of equipment.
Shown in Fig. 4, aforementioned based in the Power Plant Equipment Performance Evaluation of industry internet and the embodiment of early warning system, alternatively, described Performance Evaluation unit 102 comprises:
Real-time data analysis module 1021: for being analyzed by the real-time running data of described equipment dynamic model to each the default monitoring point obtained, generate the predicted value for each default monitoring point;
Field measurement value acquisition module 1022: for obtaining the field measurement value of each default monitoring point of equipment;
Performance estimation module 1023: for described predicted value and the described field measurement value corresponding with described predicted value are compared and statistical analysis, assessment apparatus performance.
Aforementioned based in the Power Plant Equipment Performance Evaluation of industry internet and the embodiment of early warning system, alternatively, described fault pre-alarming unit: also for according to performance evaluation result, in conjunction with early warning constraint condition and the advanced warning grade classified information of the equipment performance preset, early warning is carried out to the incipient fault of equipment, and generate the incipient fault early warning information of equipment performance, wherein, described incipient fault early warning information comprises advanced warning grade classification.
The above is the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the prerequisite not departing from principle of the present invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (10)
1., based on Power Plant Equipment Performance Evaluation and the method for early warning of industry internet, it is characterized in that, comprising:
History data according to equipment generates device data model, and is revised in real time described device data model by the real-time running data of equipment, generates equipment dynamic model;
By described equipment dynamic model, analysis generation forecast value is carried out to the real-time running data of equipment, and described predicted value and field measurement value are carried out com-parison and analysis, assessment apparatus performance;
According to performance evaluation result, early warning is carried out to the incipient fault of equipment.
2. method according to claim 1, is characterized in that, the described history data according to equipment generates device data model, and is revised in real time described device data model by the real-time running data of equipment, generates equipment dynamic model and comprises:
The history data of acquisition equipment, and described history data is stored;
By analyzing the described history data stored, generate device data model;
The real-time running data of acquisition equipment, and described real-time running data is stored;
Described real-time running data according to obtaining is revised in real time to described device data model, generates equipment dynamic model.
3. method according to claim 2, is characterized in that, the real-time running data of described acquisition equipment comprises:
When the apparatus is in operation, the real-time running data of each default monitoring point of equipment is obtained.
4. method according to claim 2, is characterized in that, describedly carries out analysis generation forecast value by described equipment dynamic model to the real-time running data of equipment, and described predicted value and field measurement value are carried out com-parison and analysis, and assessment apparatus performance comprises:
Analyzed by the real-time running data of described equipment dynamic model to each the default monitoring point obtained, generate the predicted value for each default monitoring point;
The field measurement value of each default monitoring point of acquisition equipment;
Described predicted value and the described field measurement value corresponding with described predicted value are compared and statistical analysis, assessment apparatus performance.
5. method according to claim 4, is characterized in that, describedly carries out early warning according to performance evaluation result to the incipient fault of equipment and comprises:
According to performance evaluation result, in conjunction with early warning constraint condition and the advanced warning grade classified information of the equipment performance preset, early warning is carried out to the incipient fault of equipment, and generates the incipient fault early warning information of equipment performance, wherein, described incipient fault early warning information comprises advanced warning grade classification.
6., based on Power Plant Equipment Performance Evaluation and the early warning system of industry internet, it is characterized in that, comprising:
Generate dynamic model unit: generate device data model for the history data according to equipment, and by the real-time running data of equipment, described device data model is revised in real time, generate equipment dynamic model;
Performance Evaluation unit: for carrying out analysis generation forecast value by described equipment dynamic model to the real-time running data of equipment, and described predicted value and field measurement value are carried out com-parison and analysis, assessment apparatus performance;
Fault pre-alarming unit: for carrying out early warning according to performance evaluation result to the incipient fault of equipment.
7. system according to claim 6, is characterized in that, described generation dynamic model unit comprises:
History data store module: for obtaining the history data of equipment, and described history data is stored;
Generate data model module: for by analyzing the described history data stored, generate device data model;
Real-time data memory module: for obtaining the real-time running data of equipment, and described real-time running data is stored;
Generate dynamic model module: for revising in real time described device data model according to the described real-time running data obtained, generate equipment dynamic model.
8. system according to claim 7, is characterized in that, described real-time data memory module comprises:
Real time data acquisition submodule: for when the apparatus is in operation, obtain the real-time running data of each default monitoring point of equipment.
9. system according to claim 7, is characterized in that, described Performance Evaluation unit comprises:
Real-time data analysis module: for being analyzed by the real-time running data of described equipment dynamic model to each the default monitoring point obtained, generate the predicted value for each default monitoring point;
Field measurement value acquisition module: for obtaining the field measurement value of each default monitoring point of equipment;
Performance estimation module: for described predicted value and the described field measurement value corresponding with described predicted value are compared and statistical analysis, assessment apparatus performance.
10. system according to claim 9, it is characterized in that, described fault pre-alarming unit: also for according to performance evaluation result, in conjunction with early warning constraint condition and the advanced warning grade classified information of the equipment performance preset, early warning is carried out to the incipient fault of equipment, and generate the incipient fault early warning information of equipment performance, wherein, described incipient fault early warning information comprises advanced warning grade classification.
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