CN110059359A - A kind of system and method for the control furnace body technique based on big data analysis - Google Patents
A kind of system and method for the control furnace body technique based on big data analysis Download PDFInfo
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Abstract
The system and method for the control furnace body technique based on big data analysis that the invention discloses a kind of, the system comprises data acquisition module, data memory module, data modeling module, model analysis module and simulation maintenance modules.The present invention is based on the various process parameters that the method for big data analysis runs true furnace body to carry out simulation model simulation, then the result that simulation model is simulated is applied on true furnace body.Repair and maintenance is time saving and energy saving to be conducive to improve production capacity, optimization production.
Description
Technical field:
The invention belongs to industrial furnace body process control technology field, in particular to a kind of control furnace based on big data analysis
The system and method for body technology.
Background technique:
Industrial furnace is mainly used in being heat-treated production field, and usually furnace body temperature is higher in heat treatment process, transports in furnace body
Maintenance and maintenance difficulties are larger in row situation, generally occur within subtle failure and just need to carry out furnace body halt production inspection and maintenance
On the one hand work influences to generate, on the other hand the difficulty of maintenance is larger, time-consuming and laborious.
The information disclosed in the background technology section is intended only to increase the understanding to general background of the invention, without answering
When being considered as recognizing or imply that the information constitutes the prior art already known to those of ordinary skill in the art in any form.
Summary of the invention:
The system and method for the control furnace body technique based on big data analysis that the purpose of the present invention is to provide a kind of, from
And overcome above-mentioned defect in the prior art.
To achieve the above object, the system for the control furnace body technique based on big data analysis that the present invention provides a kind of, packet
Include data acquisition module, data memory module, data modeling module, model analysis module and simulation maintenance modules；
Temperature, gas saturation, pressure, flow, revolving speed, material ratio when the data collecting module collected furnace body is run
The process parameter value of example；
Technological parameter and furnace when the furnace body of the data memory module storing data acquisition module acquisition is currently running
Technological parameter body is run in the past when, and technological parameter when running to furnace body in the past is classified, furnace body is run in the past when not
The corresponding technological parameter that breaks down is divided into one kind, and the corresponding technological parameter that breaks down furnace body is run in the past when is divided into one kind；
The data modeling module establishes the model of furnace body, and when the furnace body that data memory module stores is currently running
Technological parameter is applied on the furnace body model of foundation；
The model analysis module ran the furnace body that the technological parameter of furnace body model is stored with data memory module in the past
When the corresponding technological parameter that breaks down be compared, if the failure technological parameter of furnace body model and furnace body are run in the past when
Corresponding technological parameter issues fault pre-alarming when identical or close；
The simulation maintenance modules carry out analogue simulation maintenance to furnace body model according to fault pre-alarming, and analogue simulation is repaired
Result verification to true furnace body on.
The data acquisition module passes through mounting temperature sensor, gas saturation sensor, pressure sensing on furnace body
Device, flow sensor, speed probe come acquire furnace body operation when temperature, gas saturation, pressure, the work of flow, revolving speed
Skill parameter value, the process parameter value of material ratio when acquiring furnace body operation by self registering mode.
The technological parameter data memory module runs furnace body in the past when is finely divided, and is occurred not when furnace body is run
The same corresponding technological parameter of failure is classified, and establishes the trending analysis of technological parameter.
The data acquisition module, data memory module, data modeling module, model analysis module and simulation maintenance modules
Content shown by operating platform.
A method of the control furnace body technique based on big data analysis, comprising the following steps:
1) mounting temperature sensor, gas saturation sensor, pressure sensor, flow sensor and revolving speed on furnace body
Sensor, temperature sensor, gas saturation sensor, pressure sensor, flow sensor and speed probe are by induction
Temperature, gas saturation, pressure, flow and revolving speed process parameter value are transmitted to data acquisition module when furnace body is run, in furnace body
The ratio that various materials are launched is automatically logged into data acquisition module；
Technological parameter and furnace body when 2) collected furnace body is currently running by data acquisition module are run in the past when
Process parameter value is transmitted to data memory module；
3) technological parameter that the furnace body received is run is finely divided by data memory module, and makees trending analysis, will
Technological parameter when furnace body is currently running is transmitted to data modeling module；
4) data modeling module establishes the simulation model of furnace body, and by and technological parameter application when being currently running furnace body
On simulation model, the operation of furnace body is simulated；
5) furnace body that the technological parameter of model analysis modular simulation model running is stored with data memory module was run in the past
When the corresponding technological parameter that breaks down be compared, if the failure technological parameter of simulation model and furnace body are run in the past when
Corresponding technological parameter issues fault pre-alarming when identical or close, and warning information is transmitted to simulation maintenance modules；
6) simulation maintenance modules carry out simulation maintenance to furnace body simulation model according to fault pre-alarming, and operator ties up simulation
In the result verification repaired to true furnace body；
7) above step 1)-step 6) shows on the operational platform.
One aspect of the present invention has the beneficial effect that:
(1) the present invention is based on the various process parameters that the method for big data analysis runs true furnace body to carry out simulation model
Simulation, then the result that simulation model is simulated is applied on true furnace body, when small fault occurs in furnace body, pass through simulation model
Simulation maintenance is carried out, the technological parameter of true furnace body operation is adjusted further according to the result of simulation maintenance, is not necessarily to maintenance down,
It is time saving and energy saving；
(2) the present invention is based on the methods of big data analysis to collect the various process parameters that true furnace body was run in the past, goes forward side by side
The analysis of row trending, can effectively record that product yield is higher, every technique of production performance corresponding furnace body operation when stablizing
The technological parameter is applied directly in true furnace body operation by parameter, is conducive to improve production capacity, optimization production；
Detailed description of the invention:
Fig. 1 is a kind of schematic diagram of the system of control furnace body technique based on big data analysis of the invention；
Fig. 2 is a kind of flow chart of the method for control furnace body technique based on big data analysis of the invention；
Specific embodiment:
The specific embodiment of this practical invention is described in detail below, it is to be understood that protection scope of the present invention
It is not limited by the specific implementation.
Unless otherwise explicitly stated, otherwise in entire disclosure and claims, term " includes " or its change
Changing such as "comprising" or " including " etc. will be understood to comprise stated element or component, and not exclude other members
Part or other component parts.
As shown in Figs. 1-2, a kind of system of the control furnace body technique based on big data analysis, including data acquisition module,
Data memory module, data modeling module, model analysis module and simulation maintenance modules；
Temperature, gas saturation, pressure, flow, revolving speed, material ratio when the data collecting module collected furnace body is run
The process parameter value of example；
Technological parameter and furnace when the furnace body of the data memory module storing data acquisition module acquisition is currently running
Technological parameter body is run in the past when, and technological parameter when running to furnace body in the past is classified, furnace body is run in the past when not
The corresponding technological parameter that breaks down is divided into one kind, and the corresponding technological parameter that breaks down furnace body is run in the past when is divided into one kind；
The data modeling module establishes the model of furnace body, and when the furnace body that data memory module stores is currently running
Technological parameter is applied on the furnace body model of foundation；
The model analysis module ran the furnace body that the technological parameter of furnace body model is stored with data memory module in the past
When the corresponding technological parameter that breaks down be compared, if the failure technological parameter of furnace body model and furnace body are run in the past when
Corresponding technological parameter issues fault pre-alarming when identical or close；
The simulation maintenance modules carry out analogue simulation maintenance to furnace body model according to fault pre-alarming, and analogue simulation is repaired
Result verification to true furnace body on.
The data acquisition module passes through mounting temperature sensor, gas saturation sensor, pressure sensing on furnace body
Device, flow sensor, speed probe come acquire furnace body operation when temperature, gas saturation, pressure, the work of flow, revolving speed
Skill parameter value, the process parameter value of material ratio when acquiring furnace body operation by self registering mode.
The technological parameter data memory module runs furnace body in the past when is finely divided, and is occurred not when furnace body is run
The same corresponding technological parameter of failure is classified, and establishes the trending analysis of technological parameter.
The data acquisition module, data memory module, data modeling module, model analysis module and simulation maintenance modules
Content shown by operating platform.
A method of the control furnace body technique based on big data analysis, comprising the following steps:
1) mounting temperature sensor, gas saturation sensor, pressure sensor, flow sensor and revolving speed on furnace body
Sensor, temperature sensor, gas saturation sensor, pressure sensor, flow sensor and speed probe are by induction
Temperature, gas saturation, pressure, flow and revolving speed process parameter value are transmitted to data acquisition module when furnace body is run, in furnace body
The ratio that various materials are launched is automatically logged into data acquisition module；
Technological parameter and furnace body when 2) collected furnace body is currently running by data acquisition module are run in the past when
Process parameter value is transmitted to data memory module；
3) technological parameter that the furnace body received is run is finely divided by data memory module, and makees trending analysis, will
Technological parameter when furnace body is currently running is transmitted to data modeling module；
4) data modeling module establishes the simulation model of furnace body, and by and technological parameter application when being currently running furnace body
On simulation model, the operation of furnace body is simulated；
5) furnace body that the technological parameter of model analysis modular simulation model running is stored with data memory module was run in the past
When the corresponding technological parameter that breaks down be compared, if the failure technological parameter of simulation model and furnace body are run in the past when
Corresponding technological parameter issues fault pre-alarming when identical or close, and warning information is transmitted to simulation maintenance modules；
6) simulation maintenance modules carry out simulation maintenance to furnace body simulation model according to fault pre-alarming, and operator ties up simulation
In the result verification repaired to true furnace body；
7) above step 1)-step 6) shows on the operational platform.
The present invention is based on the various process parameters that the method for big data analysis runs true furnace body to carry out simulation model mould
It is quasi-, then the result that simulation model is simulated is applied on true furnace body, when there is small fault in furnace body, by simulation model into
Row simulation maintenance adjusts the technological parameter of true furnace body operation further according to the result of simulation maintenance, is not necessarily to maintenance down, saves
Shi Shengli；On the other hand the present invention is based on the methods of big data analysis to collect the various process parameters that true furnace body was run in the past,
And trending analysis is carried out, it can effectively record that product yield is higher, the items of production performance corresponding furnace body operation when stablizing
The technological parameter is applied directly in true furnace body operation by technological parameter, is conducive to improve production capacity, optimization production.
The aforementioned description to specific exemplary embodiment of the invention is in order to illustrate and illustration purpose.These descriptions
It is not wishing to limit the invention to disclosed precise forms, and it will be apparent that according to the above instruction, can much be changed
And variation.The purpose of selecting and describing the exemplary embodiment is that explaining specific principle of the invention and its actually answering
With so that those skilled in the art can be realized and utilize a variety of different exemplary implementation schemes of the invention and
Various chooses and changes.The scope of the present invention is intended to be limited by claims and its equivalents.
Claims (5)
1. a kind of system of the control furnace body technique based on big data analysis, it is characterised in that: including data acquisition module, data
Memory module, data modeling module, model analysis module and simulation maintenance modules；
Temperature, gas saturation, pressure, flow, revolving speed, material ratio when the data collecting module collected furnace body is run
Process parameter value；
Technological parameter and furnace body when the furnace body of data memory module storing data acquisition module acquisition is currently running with
Toward technological parameter when operation, and technological parameter when running to furnace body in the past is classified, and is not occurred furnace body is run in the past when
The corresponding technological parameter of failure is divided into one kind, and the corresponding technological parameter that breaks down furnace body is run in the past when is divided into one kind；
The data modeling module establishes the model of furnace body, and the technique when furnace body that data memory module stores is currently running
Parameter is applied on the furnace body model of foundation；
The model analysis module goes out when running the furnace body that the technological parameter of furnace body model is stored with data memory module in the past
The existing corresponding technological parameter of failure is compared, if it is corresponding to break down the technological parameter of furnace body model is run with furnace body in the past when
Technological parameter it is identical or close when issue fault pre-alarming；
The simulation maintenance modules carry out analogue simulation maintenance to furnace body model according to fault pre-alarming, the knot that analogue simulation is repaired
Fruit authenticates on true furnace body.
2. a kind of system of control furnace body technique based on big data analysis according to claim 1, it is characterised in that: institute
It states data acquisition module and passes through mounting temperature sensor, gas saturation sensor, pressure sensor, flow sensing on furnace body
Device, speed probe come acquire furnace body operation when temperature, gas saturation, pressure, the process parameter value of flow, revolving speed, lead to
Cross the process parameter value of material ratio when self registering mode acquires furnace body operation.
3. a kind of system of control furnace body technique based on big data analysis according to claim 1, it is characterised in that: institute
It states technological parameter data memory module runs furnace body in the past when to be finely divided, occurs different failures pair when furnace body is run
The technological parameter answered is classified, and establishes the trending analysis of technological parameter.
4. a kind of system of control furnace body technique based on big data analysis according to claim 1, it is characterised in that: institute
The content for stating data acquisition module, data memory module, data modeling module, model analysis module and simulation maintenance modules is logical
Operating platform is crossed to show.
5. a kind of method of the control furnace body technique based on big data analysis, it is characterised in that: the following steps are included:
1) mounting temperature sensor, gas saturation sensor, pressure sensor, flow sensor and revolution speed sensing on furnace body
Device, temperature sensor, gas saturation sensor, pressure sensor, flow sensor and speed probe are by the furnace body of induction
Temperature, gas saturation, pressure, flow and revolving speed process parameter value are transmitted to data acquisition module when operation, various in furnace body
The ratio that material is launched is automatically logged into data acquisition module；
2) technique technological parameter and furnace body when collected furnace body is currently running by data acquisition module are run in the past when
Parameter value is transmitted to data memory module；
3) technological parameter that the furnace body received is run is finely divided by data memory module, and makees trending analysis, by furnace body
Technological parameter when being currently running is transmitted to data modeling module；
4) data modeling module establishes the simulation model of furnace body, and by and technological parameter when being currently running furnace body apply imitative
On true mode, the operation of furnace body is simulated；
5) go out the furnace body that the technological parameter of model analysis modular simulation model running is stored with data memory module is run in the past when
The existing corresponding technological parameter of failure is compared, if it is corresponding to break down the technological parameter of simulation model is run with furnace body in the past when
Technological parameter it is identical or close when issue fault pre-alarming, and warning information is transmitted to simulation maintenance modules；
6) simulation maintenance modules carry out simulation maintenance to furnace body simulation model according to fault pre-alarming, and operator repairs simulation
In result verification to true furnace body；
7) above step 1)-step 6) shows on the operational platform.
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