CN115200033A - Rotary air preheater thermal monitoring system based on digital twinning technology - Google Patents
Rotary air preheater thermal monitoring system based on digital twinning technology Download PDFInfo
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- CN115200033A CN115200033A CN202210831234.5A CN202210831234A CN115200033A CN 115200033 A CN115200033 A CN 115200033A CN 202210831234 A CN202210831234 A CN 202210831234A CN 115200033 A CN115200033 A CN 115200033A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23L—SUPPLYING AIR OR NON-COMBUSTIBLE LIQUIDS OR GASES TO COMBUSTION APPARATUS IN GENERAL ; VALVES OR DAMPERS SPECIALLY ADAPTED FOR CONTROLLING AIR SUPPLY OR DRAUGHT IN COMBUSTION APPARATUS; INDUCING DRAUGHT IN COMBUSTION APPARATUS; TOPS FOR CHIMNEYS OR VENTILATING SHAFTS; TERMINALS FOR FLUES
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- F23L15/04—Arrangements of recuperators
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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- F28F—DETAILS OF HEAT-EXCHANGE AND HEAT-TRANSFER APPARATUS, OF GENERAL APPLICATION
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Abstract
The invention discloses a rotary air preheater thermodynamic monitoring system based on a digital twinning technology, which comprises a rotary air preheater physical entity, a real-time data acquisition and analysis module, a preheater digital twinning model construction module and a thermodynamic parameter state monitoring and soot deposition prediction module; the method utilizes a digital twinning technology to construct a rotary air preheater digital twinning model, dynamically acquires temperature parameter state data, realizes the calculation of thermodynamic parameters and the prediction of deposited ash through a temperature field, a pressure drop, air leakage calculation, a pre-processing module and a post-processing module, simultaneously displays the data in real time, continuously optimizes the accuracy of the calculation of the thermodynamic parameters and the prediction of the deposited ash, and realizes the autonomous determination and automatic adjustment of the ash blowing, thereby finally realizing the state monitoring and dynamic control of the thermodynamic calculation process of the air preheater and solving the problem that the deposited ash factor of the rotary air preheater in the existing power station influences the safe and reliable operation of a thermal power generating unit.
Description
Technical Field
The invention relates to the technical field of digital twin monitoring, in particular to a rotary air preheater thermodynamic monitoring system based on a digital twin technology.
Background
An important feature of the digital twinning technique is multi-source heterogeneous data fusion. Through three-dimensional modeling, the shape, material, texture details and complex internal structure of the device can be highly restored. And high-precision and ultra-fine visual presentation is realized. The device supports the full data drive display of the configuration structure and the complex action of the device, and can truly reproduce the position distribution, the type, the operating environment and the operating state of the device. Not only can the change outside the equipment be seen, but also more importantly, the working state, configuration, type, operating environment and digital twin of the operating state of each component inside the equipment can be seen.
The increased deposition can cause the blockage of the rotary air preheater, so that the normal operation cannot be realized, the production of the whole unit is stopped if the blockage is small, secondary combustion accidents can happen if the blockage is large, and the life safety of power station workers is threatened. According to the analysis, the ammonium bisulfate deposition area in the rotary air preheater is related to the temperature, namely the thermal parameters in the rotary air preheater are obtained, which is the key for judging the condition of the deposited dust in the rotary air preheater in the power station, so that the deposited dust is cleaned in time, and the engineering danger is reduced. In the aspect of the monitoring of the rotary air preheater, the automatic monitoring of the rotary air preheater in the early stage is realized by setting a limited measuring point and directly acquiring the thermal condition of a measuring point area by using a sensor.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a rotary air preheater thermodynamic monitoring system based on a digital twinning technology, which realizes real-time visual monitoring of the operation process of a rotary air preheater and realizes state monitoring and dynamic control of the thermodynamic calculation process of the air preheater.
The invention is realized by the following technical scheme:
a rotary air preheater thermodynamic monitoring system based on digital twinning technology, comprising:
a. real-time data acquisition and analysis module, this module specifically includes:
the temperature data acquisition module measures temperature data in real time through sensors attached to each sub-bin of the rotary air preheater;
the pressure acquisition module is used for acquiring pressure difference information data comprising a primary sub-bin, a secondary sub-bin and a flue gas bin;
the data processing and storing module is used for analyzing the data collected by the preheater thermodynamic temperature data collecting module and the pressure collecting module and storing the data into a database;
b. the air preheater digital twin model building module is used for building a thermodynamic parameter calculation digital twin model based on the module, and the module specifically comprises:
the geometric model is used for respectively establishing a parameterized three-dimensional model of the rotary air preheater by utilizing three-dimensional modeling software and showing the shape, composition and assembly relation of the parameterized three-dimensional model;
the physical model is used for increasing physical attributes, constraints and characteristics of a physical entity on the basis of the established rotary air preheater parameterized three-dimensional model;
the behavior model is used for describing the actual operation state of the rotary air preheater under the coupling action of external interference and an internal operation mechanism;
the rule model is used for analyzing data in the database and summarizing the obtained calculation rule of the thermal parameters;
c. the rotary air preheater state monitoring and ash deposition predicting module specifically comprises:
the system comprises a rotary air preheater state monitoring module, a data processing module and a data processing module, wherein the rotary air preheater state monitoring module updates the size, the position relation and the motion state of a rotary air preheater parameterized three-dimensional model in an air preheater digital twin model on the basis of the air preheater state data and the thermal parameter information data acquired by the real-time data acquisition and analysis module; the visual display of the real-time state of the air preheater is realized, and important information data are converted into charts for visual display;
and the ash deposition prediction module takes the air preheater state data and the thermal parameter information data acquired by the real-time data acquisition and analysis module as initial conditions of the rotary air preheater, realizes the prediction of ash deposition through the thermal calculation and post-processing of the rotary air preheater based on a digital twin model, and continuously optimizes the accuracy of the thermal calculation and ash deposition prediction of the rotary air preheater based on the data in the database.
Furthermore, in the real-time data acquisition and analysis module, the sensors attached to each sub-bin comprise temperature sensors for measuring the flue gas bin and the air bin, and pressure sensors for measuring the fluid flue gas bin and the air bin; the temperature sensor measures the actual temperature information of the current sub-bin; the temperature sensor is arranged on the sub-bins and is used for acquiring the actual parameter information of the current air preheater in real time by reading the temperature of the corresponding single sub-bin during operation; the pressure sensor corresponding to the single sub-bin is internally provided with actual parameters of the air preheater.
Further, the actual parameters of the sub-bins comprise the inlet and outlet temperatures of the flue gas bin and the air bin, and the data are stored in a corresponding single sub-bin database after being accurately measured when the rotary preheater operates.
Further, in the air preheater digital twin model building module, the air preheater digital twin model is driven by real-time data collected by the real-time data collecting and analyzing module;
the parameterized three-dimensional model of the rotary air preheater dynamically adjusts the shape, the size and the relative position according to real-time data acquired by the real-time data acquisition and analysis module;
the physical attributes, constraints and characteristics of the physical entity are increased, and the physical attributes, the mechanical attributes and the assembly constraints are specifically included;
the actual operation state of the rotary air preheater is obtained according to the real-time data collected by the real-time data collecting and analyzing module;
and the summarized calculation rule of the air preheater comprises the rule of influence of external excitation, structural parameters, PLC system control parameters, air leakage and resistance on the calculation of the thermodynamic parameters of the air preheater.
Further, in the soot accumulation prediction module, the implementation method for continuously optimizing the accuracy of the thermal calculation and soot accumulation prediction of the rotary air preheater based on the data in the database comprises the following steps:
the method comprises the steps of taking initial-time rotary air preheater state data and ash deposition data stored in a database during operation as input, taking temperature calculation, resistance calculation and air leakage calculation data stored in the database as output, and identifying part of uncertain parameters in the rotary air preheater thermodynamic calculation based on a parameter identification method to continuously improve the thermodynamic parameter calculation precision; the method is characterized in that the method comprises the steps of taking parameter state data stored in a database when a bin is imported and exported as input, taking actual temperature data measured by a temperature sensor stored in the database as output, identifying partial uncertain parameters of accumulated dust in the rotary preheater based on a parameter identification method, and continuously improving the accuracy of accumulated dust calculation.
Further, the database comprises MySQL, XML and Redis databases, and data stored in the MySQL database comprise parameters of air preheaters of various types, heat exchange resistance characteristics of heat storage elements and physical parameters of the heat storage elements of different plate types; the XML database sorts and classifies data into three parts, namely a bin dividing parameter, a layer parameter and other basic parameters, and the Redis database stores the data into a background data center of the online real-time monitoring system.
Furthermore, the predicted value of the ash deposition is an expected position of the generation of ammonium bisulfate after considering the operation time, and sulfide carried in the flue gas of the air preheater generates chemical reaction to generate acidic substances with viscosity to be attached to a low-temperature area of the heat storage element, so that the dust in the flue gas is comprehensively adsorbed over time.
Compared with the prior art, the invention has the following advantages:
the method comprises the steps of constructing a digital twin-based rotary air preheater thermal monitoring system, constructing a rotary air preheater digital twin model by using a digital twin technology, dynamically acquiring temperature parameter state data, calculating thermal parameters and predicting deposited ash by using a temperature field, a pressure drop and air leakage calculation module and a pre-processing module and a post-processing module, displaying data in real time, continuously optimizing the accuracy of thermal parameter calculation and deposited ash prediction, and realizing autonomous determination and automatic adjustment of ash blowing, so that the state monitoring and dynamic control of the air preheater thermal calculation process are finally realized, and the problem that the deposited ash factor of the rotary air preheater in the conventional power station influences the safe and reliable operation of a thermal power generating unit is solved.
The soft measurement method realizes real-time visual monitoring of the operation process of the rotary air preheater, can continuously improve the ash deposition prediction precision based on historical data mining, dynamically calculates and judges the ash deposition condition based on measured data, and is safer when a direct measurement means is limited, and a mathematical twinborn model is used for deducing or estimating a known constant to obtain a variable which is difficult to measure and is important.
Drawings
FIG. 1 is a schematic diagram of the system
FIG. 2 is a flow chart of the system
FIG. 3 is a schematic diagram of device communication
Detailed Description
The present invention will now be described in further detail with reference to specific examples, which are intended to be illustrative, but not limiting, of the invention.
As shown in FIG. 1, the thermodynamic monitoring system of the rotary air preheater based on the digital twinning technology of the present invention comprises the following modules arranged according to the physical entities of the rotary air preheater, including a wind bin, a stepping motor, a sector bin and a sealing device:
a. real-time data acquisition and analysis module, this module specifically includes:
the temperature data acquisition module is used for measuring data in real time through sensors attached to each sub-bin of the rotary air preheater; the pressure acquisition module comprises a primary sub-bin, a secondary sub-bin and a flue gas bin and is mainly used for acquiring differential pressure information data; the data processing and storing module is used for analyzing the data collected by the preheater thermodynamic parameter data collecting module and the pressure collecting module and storing the data into a database;
b. the air preheater digital twin model building module is used for building a thermodynamic parameter calculation digital twin model based on the module, and specifically comprises the following steps:
the geometric model is used for respectively establishing a parameterized three-dimensional model of the rotary air preheater by utilizing three-dimensional modeling software and showing the shape, composition and assembly relation of the parameterized three-dimensional model;
the physical model is used for increasing physical attributes, constraints and characteristics of a physical entity on the basis of the established rotary air preheater parameterized three-dimensional model;
a behavior model describing the actual operating state of the rotary air preheater under the coupling action of external interference and an internal operating mechanism;
the rule model is a calculation rule for analyzing data in the database and summarizing the obtained thermodynamic parameters;
c. the rotary air preheater state monitoring and ash deposition predicting module specifically comprises:
the rotary air preheater state monitoring module updates the size, the position relation and the motion state of a rotary air preheater parameterized three-dimensional model in the air preheater digital twin model based on the air preheater state data and the thermal parameter information data acquired by the real-time data acquisition and analysis module, realizes the visual display of the real-time state of the air preheater, and simultaneously converts important information data into a chart for visual display;
the ash accumulation prediction module takes the state data and the thermal parameter information data of the air preheater acquired by the real-time data acquisition and analysis module as initial conditions of the rotary air preheater, realizes the prediction of ash accumulation through thermal calculation and post-processing of the rotary air preheater on the basis of a digital twin model, and continuously optimizes the accuracy of the thermal calculation and the ash accumulation prediction of the rotary air preheater on the basis of the data in the database;
in the real-time data acquisition and analysis module, the sensors attached to the sub-bins comprise a smoke measuring bin, an air bin temperature sensor, a pressure sensor for measuring the fluid smoke bin and an air bin; the temperature sensor measures the actual temperature information of the current sub-bin; the temperature sensor is arranged on the sub-bin and is used for acquiring the actual parameter information of the current air preheater in real time by reading the temperature corresponding to the single sub-bin during operation; actual parameters of the air preheater are arranged in the temperature corresponding to the single sub-bin; the actual parameters of the sub-bins comprise the inlet and outlet temperatures of the flue gas bin and the air bin, and the data are stored in a corresponding single sub-bin database after being accurately measured when the rotary preheater operates.
In the air preheater digital twin model building module, the air preheater digital twin model is driven by real-time data collected by the real-time data collecting and analyzing module; the parameterized three-dimensional model of the rotary air preheater dynamically adjusts the shape, the size and the relative position according to real-time data acquired by the real-time data acquisition and analysis module; the physical attributes, constraints and characteristics of the physical entity are increased, and the physical attributes, the mechanical attributes and the assembly constraints are specifically included; the actual operation state of the rotary air preheater is obtained according to the real-time data collected by the real-time data collecting and analyzing module; and the summarized calculation rule of the air preheater comprises the influence rule of external excitation, structural parameters, PLC system control parameters, air leakage and resistance on the calculation of the thermodynamic parameters of the air preheater.
In the accumulated dust prediction module, the implementation method for continuously optimizing the accuracy of the thermal calculation and accumulated dust prediction of the rotary air preheater based on the data in the database comprises the following steps: the method comprises the steps of taking state data and dust deposition data of the rotary air preheater at the initial time of operation stored in a database as input, taking temperature calculation, resistance calculation and air leakage calculation data stored in the database as output, and identifying part uncertain parameters in the thermal calculation of the rotary air preheater based on a parameter identification method to continuously improve the accuracy of the thermal parameter calculation; the method is characterized in that the method comprises the steps of taking parameter state data stored in a database when a bin is imported and exported as input, taking actual temperature data measured by a temperature sensor stored in the database as output, identifying partial uncertain parameters of accumulated dust in the rotary preheater based on a parameter identification method, and continuously improving the accuracy of accumulated dust calculation.
The database comprises MySQL, XML and Redis databases, data stored in the MySQL database comprise air preheater parameters of various types, heat exchange resistance characteristics of heat storage elements and physical property parameters of the heat storage elements of different plate types, the XML database arranges the data into three parts of bin parameters, layer parameters and other basic parameters, and the Redis database stores the data in a background data center of the online real-time monitoring system.
The ash accumulation prediction is calculated based on a prediction module; the expected ash deposition value of the rotary air preheater is an expected position of the generation of ammonium bisulfate after considering the operation time, sulfide carried in flue gas of the rotary air preheater is subjected to chemical reaction to generate acidic substances with viscosity, the acidic substances are attached to a low-temperature area of the heat storage element, and the acidic substances are comprehensively determined by adsorbing dust in the flue gas along with time;
as shown in fig. 2, the flow of thermodynamic calculation is mainly divided into preprocessing, temperature field calculation, pressure drop calculation, air leakage calculation and post-processing, and the respective functions are realized by different modules respectively. As shown in fig. 3, the overall architecture of the communication device of the system includes a switch, an upper computer and a touch screen, and the PLC communicates with the upper computer and the touch screen through the switch to transmit information and data between the devices.
The artillery launching state monitoring system based on the digital twin realizes the flow of real-time monitoring and calculation of thermal parameters as follows: the preprocessing module is responsible for calculating element parameters and setting the temperature and flow of the boundary; the temperature field calculation module calculates an initial temperature field, then calculates the rotor deformation, and solves the fluid temperature field and the metal temperature field of each layer by a catch-up method on the basis until the average error of each bin meets the error requirement to obtain a final result; the pressure drop calculation module calculates the pressure drop of each block according to the temperature field obtained by previous calculation, and then transfers the inlet and outlet pressure of each block between the same sub-bins, and finally obtains the outlet pressure of each bin; the air leakage calculating module calculates the specific heat ratio, and then calculates the air leakage rate carried by each bin and the direct air leakage rate until the total air leakage rate of each bin is obtained through calculation; the post-processing module is used for correcting the influence of air leakage on the temperature of the outlet flue gas and processing the influence of hot end temperature adjusting means and cold end protection measures on fluid parameters.
Claims (7)
1. A rotary air preheater thermodynamic monitoring system based on digital twinning technology is characterized by comprising:
a. real-time data acquisition and analysis module, this module specifically includes:
the temperature data acquisition module measures temperature data in real time through sensors attached to each sub-bin of the rotary air preheater;
the pressure acquisition module is used for acquiring pressure difference information data comprising a primary sub-bin, a secondary sub-bin and a flue gas bin;
the data processing and storing module is used for analyzing the data acquired by the preheater thermodynamic temperature data acquisition module and the pressure acquisition module and storing the data into a database;
b. the air preheater digital twin model building module is used for building a thermodynamic parameter calculation digital twin model based on the module, and the module specifically comprises:
the geometric model is used for respectively establishing a parameterized three-dimensional model of the rotary air preheater by utilizing three-dimensional modeling software and showing the shape, composition and assembly relation of the parameterized three-dimensional model;
the physical model is used for increasing physical attributes, constraints and characteristics of a physical entity on the basis of the established rotary air preheater parameterized three-dimensional model;
the behavior model is used for describing the actual operation state of the rotary air preheater under the coupling action of external interference and an internal operation mechanism;
the rule model is used for analyzing data in the database and summarizing the obtained calculation rule of the thermal parameters;
c. the rotary air preheater state monitoring and dust deposition predicting module specifically comprises:
the system comprises a rotary air preheater state monitoring module, a data processing module and a data processing module, wherein the rotary air preheater state monitoring module updates the size, the position relation and the motion state of a rotary air preheater parameterized three-dimensional model in an air preheater digital twin model on the basis of the air preheater state data and the thermal parameter information data acquired by the real-time data acquisition and analysis module; the visual display of the real-time state of the air preheater is realized, and important information data are converted into charts for visual display;
and the ash deposition prediction module takes the air preheater state data and the thermal parameter information data acquired by the real-time data acquisition and analysis module as initial conditions of the rotary air preheater, realizes the prediction of ash deposition through the thermal calculation and post-processing of the rotary air preheater based on a digital twin model, and continuously optimizes the accuracy of the thermal calculation and ash deposition prediction of the rotary air preheater based on the data in the database.
2. A rotary air preheater thermodynamic monitoring system based on a digital twinning technique, as claimed in claim 1, wherein: in the real-time data acquisition and analysis module, the sensors attached to each sub-bin comprise a temperature sensor for measuring a flue gas bin and an air bin, and a pressure sensor for measuring a fluid flue gas bin and an air bin; the temperature sensor measures the actual temperature information of the current sub-bin; the temperature sensor is arranged on the sub-bins and is used for acquiring the actual parameter information of the current air preheater in real time by reading the temperature of the corresponding single sub-bin during operation; the pressure sensor corresponding to the single sub-bin is internally provided with actual parameters of the air preheater.
3. A rotary air preheater thermodynamic monitoring system based on a digital twinning technique as claimed in claim 2, wherein: the actual parameters of the sub-bins comprise the inlet and outlet temperatures of the flue gas bin and the air bin, and the data are stored in a corresponding single sub-bin database after being accurately measured when the rotary preheater operates.
4. A rotary air preheater thermodynamic monitoring system based on a digital twinning technique, as claimed in claim 1, wherein: in the air preheater digital twin model building module, the air preheater digital twin model is driven by real-time data collected by the real-time data collecting and analyzing module;
the parameterized three-dimensional model of the rotary air preheater dynamically adjusts the shape, the size and the relative position according to real-time data acquired by the real-time data acquisition and analysis module;
the physical attributes, constraints and characteristics of the physical entity are increased, and the physical attributes, the mechanical attributes and the assembly constraints are specifically included;
the actual operation state of the rotary air preheater is obtained according to real-time data collected by the real-time data collecting and analyzing module;
and the summarized calculation rule of the air preheater comprises the influence rule of external excitation, structural parameters, PLC system control parameters, air leakage and resistance on the calculation of the thermodynamic parameters of the air preheater.
5. A rotary air preheater thermodynamic monitoring system based on a digital twinning technique, as claimed in claim 1, wherein: in the accumulated dust prediction module, the implementation method for continuously optimizing the accuracy of the thermal calculation and accumulated dust prediction of the rotary air preheater based on the data in the database comprises the following steps:
the method comprises the steps of taking initial-time rotary air preheater state data and ash deposition data stored in a database during operation as input, taking temperature calculation, resistance calculation and air leakage calculation data stored in the database as output, and identifying part of uncertain parameters in the rotary air preheater thermodynamic calculation based on a parameter identification method to continuously improve the thermodynamic parameter calculation precision; the method is characterized in that the parameter state data stored in a database when the rotary preheater is divided into an inlet and an outlet is used as input, the actual temperature data stored in the database and measured by a temperature sensor is used as output, and the method is based on a parameter identification method to identify the partially uncertain parameters of the accumulated dust in the rotary preheater, so that the accuracy of accumulated dust calculation is continuously improved.
6. A rotary air preheater thermodynamic monitoring system based on a digital twinning technique as claimed in claim 1 wherein: the database comprises MySQL, XML and Redis databases, and data stored in the MySQL database comprise air preheater parameters of various types, heat exchange resistance characteristics of heat storage elements and physical parameters of the heat storage elements of different plate types; the XML database arranges the data into three parts, namely a sub-bin parameter, a layer parameter and other basic parameters, and the Redis database stores the data into a background data center of the online real-time monitoring system.
7. A rotary air preheater thermodynamic monitoring system based on a digital twinning technique as claimed in claim 6 wherein: the predicted value of the ash deposition is an expected position of the generation of the ammonium bisulfate after considering the operation time, and the predicted value is comprehensively determined by the fact that sulfides carried in the flue gas of the air preheater are subjected to chemical reaction to generate acidic substances with viscosity to be attached to a low-temperature area of the heat storage element and adsorb dust in the flue gas along with time.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117272480A (en) * | 2023-10-09 | 2023-12-22 | 武汉联合立本能源科技有限公司 | Mine return air waste heat recovery method, system, storage device and computing device |
| CN117339759A (en) * | 2023-12-04 | 2024-01-05 | 浙江大维高新技术股份有限公司 | Digital twin system and method for dust remover |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117272480A (en) * | 2023-10-09 | 2023-12-22 | 武汉联合立本能源科技有限公司 | Mine return air waste heat recovery method, system, storage device and computing device |
| CN117272480B (en) * | 2023-10-09 | 2024-05-28 | 武汉联合立本能源科技有限公司 | Mine return air waste heat recovery method, system, storage device and computing device |
| CN117339759A (en) * | 2023-12-04 | 2024-01-05 | 浙江大维高新技术股份有限公司 | Digital twin system and method for dust remover |
| CN117339759B (en) * | 2023-12-04 | 2024-04-09 | 浙江大维高新技术股份有限公司 | Digital twin system and method for dust remover |
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