CN108445845B - Intelligent boiler combustion stability judgment system and method suitable for large power station - Google Patents
Intelligent boiler combustion stability judgment system and method suitable for large power station Download PDFInfo
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Abstract
The invention discloses an intelligent boiler combustion stability judging system and method applicable to a large-scale power station.A data acquisition module acquires coal quality component data from an MIS system and boiler operation state data from a DCS system and transmits the data to a data processing module; the data processing module judges whether the received parameters are in the corresponding preset threshold range, eliminates data exceeding the corresponding preset threshold range, calculates characteristic quantity according to the data in the corresponding preset threshold range, and transmits the judgment result and the characteristic quantity to the data decision module; and the data decision module calculates a dimensionless combustion stability analysis criterion under the actual operation condition according to the received characteristic quantity, compares the dimensionless combustion stability analysis criterion under the actual operation condition with a set dimensionless combustion stability analysis criterion critical value, and judges whether the boiler combustion is stable. The method and the device judge the stable combustion condition of the boiler in real time according to the running state of the boiler, and are suitable for judging the low-load stable combustion condition.
Description
Technical Field
The invention belongs to the technical field of power station boilers, and particularly relates to an intelligent boiler combustion stability judgment system and method suitable for a large power station.
Background
At present, the electric power industry in China proves a new situation, the capacity of a power grid is continuously increased, an extra-high voltage power grid is gradually built, the proportion of new energy is rapidly increased, and the consumption pressure of the power grid on renewable energy and external power transmission is greatly increased; in addition, the power utilization structure is also obviously changed, namely the proportion of the domestic power utilization of residents is increased, the proportion of the industrial power utilization is decreased, and the load peak-valley difference of the power grid tends to be increased continuously. Therefore, the power system is insufficient in peak regulation capacity, the contradiction that the peak-to-valley deviation is large is increasingly prominent, meanwhile, the national environmental protection requirement is higher and higher, enterprises are encouraged to actively participate in energy conservation and emission reduction, and accordingly, as power generation, thermal power generating units must undertake more peak regulation tasks of the power grid, and particularly, deep peak regulation is carried out to relieve the contradiction of the peak-to-valley deviation of the power grid.
The pulverized coal combustion unit is still used as an absolute principal force in thermal power generation at the present stage of China, the deep peak regulation capacity of the pulverized coal combustion unit is determined by the lowest stable combustion capacity of a boiler, namely the lowest stable combustion load of the boiler under the condition of no combustion, each boiler has a design value of the lowest stable combustion load under the condition of no combustion in the design process of the boiler, the lowest scheduling load of the boiler is far higher than the design value of the lowest stable combustion load under the condition of no combustion in the actual operation process of the boiler, so that the deep peak regulation capacity of the unit is not fully exerted, whether the lowest stable combustion load of the boiler can reach the design value under the condition of no combustion in the actual operation of the boiler is also one of performance assessment items of the boiler, but the design value of the lowest stable combustion load is often not reached in the actual execution, the key factor is that the stable combustion condition of the boiler cannot be accurately judged, and the combustion condition of the boiler under the condition of low load cannot be accurately judged by the existing low-load lowest stable combustion test for determining the combustion condition of the boiler A master teacher who tests observes the burning situation in the boiler through light and fire hole scene at the scene to observe parameters such as flame TV and boiler furnace negative pressure in the centralized control room and judge, the burning situation in the boiler of artificial, qualitative judgement, because everyone experience and the psychological bearing capacity lead to the fact the judgement to burning situation in the boiler also is different, lead to that the boiler does not throw the minimum low-load steady burning test of supporting combustion and can not accurately carry out.
At present, the documents about the judgment method of the low-load stable combustion of the boiler, such as Wangdong wind, Liuqian, Zhao Wenjie, and the like, fuzzy comprehensive judgment [ J ] of power engineering report, 2015,35(6)437 and 444 of the power station boiler combustion stability and economic state based on the measurement of a furnace parameter field are adopted to carry out fuzzy comprehensive judgment, and the measurement technologies of the three references have various types but have larger errors and uncertainties, so that the accuracy of the judgment method of the low-load stable combustion of the boiler made by the method is difficult to guarantee, and no reliable application case is found in the aspect of practical application.
Chinese patent 200910218387.7 discloses a method for characterizing and diagnosing combustion instability, which utilizes a color CCD camera and an image acquisition card to obtain a real-time pattern, performs gray processing on the pattern, extracts a sparse sample of a nonlinear time sequence, and then uses a nonlinear power system chaos 0-1TEST method to obtain a detection result to judge combustion instability.
Chinese patent 201210592575.8 discloses an automatic monitoring method for flame combustion stability, which extracts a blue image from a plurality of RGB mode flame images and enhances contrast to obtain a processed flame image, then performs segmentation to extract a destabilization region and a combustion critical region, and calculates a centroid distance between the two regions, when the centroid distance is greater than a critical value, the flame is stable, otherwise, the flame is unstable. It can be seen from the above two patents that, for the method for determining flame stability, the flame image is processed and analyzed, and then the mathematical tool is used for processing and determining the combustion stability, because the acquisition of the flame image and the mathematical processing of the pattern have large errors and uncertainties, the uncertainties and errors of the starting points are difficult to accurately determine and even quantify the combustion stability even if the subsequent mathematical processing is more accurate.
According to the analysis, the existing judgment of stable combustion of the boiler basically adopts artificial and qualitative judgment, the error is large, the number of artificial factors is large, different technicians have different scales and standards, and the stability of combustion is difficult to judge accurately and quantitatively due to the large error in the aspects of flame image processing and mathematical analysis.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides an intelligent boiler combustion stability judgment system and method suitable for a large power station, which are used for judging the stable combustion condition of a boiler in real time according to the running state of the boiler, can provide quantitative indexes, are particularly suitable for judging the stable combustion condition of low load, do not need operators and maintainers to observe the combustion condition on site according to experience to qualitatively judge the stable combustion condition, and realize the judgment on the intelligent and quantitative combustion stability of the boiler.
The technical scheme adopted by the invention is as follows:
the utility model provides an intelligent boiler combustion stability judges system suitable for large-scale power station, intelligent boiler combustion stability judges system suitable for large-scale power station includes the server, the server sets up in the workstation of transformer substation and with MIS system and DCS system intercommunication, the server includes:
the data acquisition module is configured to acquire the content of each air drying base component of the coal from the MIS system and acquire a primary air speed parameter, a primary air temperature parameter, the fire detection intensity of each combustor, the PSOD switch position of each primary air pipeline and a furnace pressure parameter from the DCS system, and transmit the primary air speed parameter, the primary air temperature parameter, the fire detection intensity of each combustor, and the PSOD switch position and the furnace pressure parameter to the data processing module;
the data processing module is configured to judge whether the received parameters are within a corresponding preset threshold range, eliminate data beyond the corresponding preset threshold range, calculate characteristic quantity according to the data within the corresponding preset threshold range, and transmit the judgment result and the characteristic quantity to the data decision module;
and the data decision module is configured to calculate a dimensionless combustion stability analysis criterion under the actual operation condition according to the received characteristic quantity, compare the dimensionless combustion stability analysis criterion under the actual operation condition with a set dimensionless combustion stability analysis criterion critical value and judge whether the boiler combustion is stable.
Further, the data processing module comprises:
the coal quality component processing module is configured to calculate the sum of the content of each air drying base component according to the content of each air drying base component of the received coal, judge whether the sum of the content of each air drying base component is within the content and the threshold of the preset air drying base component, eliminate data exceeding the content and the threshold of the preset air drying base component, calculate a coal quality combustion characteristic index according to the content and the data within the threshold of the preset air drying base component, calculate a coal quality factor based on the coal quality combustion characteristic index, and transmit the judgment result and the coal quality factor to the data decision module.
Further, the data processing module further includes:
a primary wind processing module configured to determine whether the primary wind speed and the primary wind temperature parameter are within a preset primary wind temperature and primary wind speed threshold range according to the received primary wind speed and primary wind temperature parameter, to reject data that exceed the preset primary wind temperature and primary wind speed threshold range, to calculate an average value of the primary wind speed and the primary wind speed according to the data within the preset primary wind temperature and primary wind speed threshold range, and to transmit the determination result and the average value of the primary wind speed and the primary wind speed to a data decision module;
the fire detection intensity processing module is configured to judge whether each combustor is put into operation according to whether the coal mill is in operation and the PSOD switch position of each primary air pipeline, judge whether the fire detection intensity parameter is within a preset fire detection intensity threshold range according to the received fire detection intensity parameter of each combustor under the condition that each combustor is put into operation, eliminate data beyond the preset fire detection intensity threshold range, select the minimum fire detection intensity value of each layer of the put-into-operation combustor according to the data within the preset fire detection intensity threshold range, calculate the average value of the minimum fire detection intensity values of each layer, and transmit the judgment result and the average value of the minimum fire detection intensity values of each layer to the data decision module;
and the furnace pressure fluctuation processing module is configured to smooth the fluctuation range of the received furnace pressure parameter, calculate the average value of the furnace pressure fluctuation range and transmit the average value of the furnace pressure fluctuation range to the data decision module.
Further, the method also comprises the following steps:
the input terminal is connected with the data acquisition module and is used for manually inputting the content data of each air drying base component of the coal;
and the output terminal is connected with the data decision module and is used for displaying the dimensionless combustion stability analysis criterion, the deviation degree of each parameter and the alarm information under the actual operation condition.
The working method of the intelligent boiler combustion stability judgment system suitable for the large power station comprises the following steps:
the data acquisition module acquires the content of each air drying base component of the coal from the MIS system, acquires a primary air speed parameter, a primary air temperature parameter, fire detection intensity of each combustor, PSOD switch position of each primary air pipeline and furnace pressure parameter from the DCS system, and sends the parameters to the data processing module;
the data processing module judges whether the received parameter data are in the corresponding preset threshold range, eliminates the data beyond the corresponding preset threshold range, calculates the characteristic quantity according to the data in the corresponding preset threshold range, and transmits the judgment result and the characteristic quantity to the data decision module;
and the data decision module calculates a dimensionless combustion stability analysis criterion under the actual operation condition according to the received characteristic quantity, compares the dimensionless combustion stability analysis criterion under the actual operation condition with a set dimensionless combustion stability analysis criterion critical value, and judges whether the boiler combustion is stable.
Further, the characteristic quantity comprises a coal quality factor, a primary air temperature average value, a primary air speed average value, an average value of each layer of fire detection strength minimum values and an average value of hearth pressure fluctuation amplitude.
Further, the data processing module performs filtering processing on the received data, eliminates data exceeding a corresponding preset threshold range, calculates a characteristic quantity according to the data within the corresponding preset threshold range, and transmits the characteristic quantity to the data decision module, and the method includes:
the coal quality component processing module calculates the sum of the content of each air drying base component according to the content of each air drying base component of the received coal, judges whether the sum of the content of each air drying base component is within the range of the content of a preset air drying base component and a threshold value, eliminates data beyond the range of the content of the preset air drying base component and the threshold value, calculates a coal quality combustion characteristic index according to the content of the preset air drying base component and the data within the threshold value, calculates a coal quality factor based on the coal quality combustion characteristic index, and transmits the judgment result and the coal quality factor to the data decision module;
the primary wind processing module judges whether the primary wind speed and the primary wind temperature parameter are within a preset primary wind temperature and primary wind speed threshold range or not according to the received primary wind speed and the primary wind temperature parameter, eliminates data beyond the preset primary wind temperature and primary wind speed threshold range, calculates an average value of the primary wind speed and the primary wind speed according to the data within the preset primary wind temperature and primary wind speed threshold range, and transmits a judgment result and the average value of the primary wind speed and the primary wind speed to the data decision module;
the fire detection intensity processing module judges whether each combustor is put into operation or not according to whether the coal mill is in operation or not and the PSOD switch position of each primary air pipeline, judges whether the fire detection intensity parameter is within the range of a preset fire detection intensity threshold value or not according to the received fire detection intensity parameter of each combustor under the condition that each combustor is put into operation, rejects data beyond the range of the preset fire detection intensity threshold value, selects the minimum fire detection intensity value of each layer of the put-into-operation combustor according to the data within the range of the preset fire detection intensity threshold value, calculates the average value of the minimum fire detection intensity values of each layer, and transmits the judgment result and the average value of the minimum fire detection intensity values of each layer to the data decision module;
the hearth pressure fluctuation processing module carries out smooth processing on the fluctuation range of the received hearth pressure parameters, calculates the average value of the hearth pressure fluctuation range and transmits the average value of the hearth pressure fluctuation range to the data decision module.
Further, when any judgment result received by the data decision module is negative, the data decision module sends an alarm signal to the DCS system to give an alarm, and gives the deviation degree of each parameter. .
Further, the working method further comprises the following steps:
and the data decision module compares the average value of the received furnace pressure fluctuation amplitude with zero, rejects the average value of the furnace pressure fluctuation amplitude equal to zero and sends alarm information to the DCS.
Further, the comparing the dimensionless combustion stability analysis criterion under the actual operation condition with the dimensionless combustion stability analysis criterion critical value to judge whether the boiler combustion is stable includes:
analyzing β dimensionless combustion stability under actual operation condition1And a set critical value β of dimensionless combustion stability analysis criterioncrComparing;
if βcr＞β1And βcr-β1If the combustion temperature is more than 0.5, the combustion of the boiler is stable;
if 0 < βcr-β1< 0.5 or βcr＜β1If the boiler is not stable in combustion, the data decision module sends an alarm signal to the DCS to give an alarm, and the deviation degree of each parameter is given.
Compared with the prior art, the invention has the beneficial effects that:
(1) according to the invention, by acquiring coal quality component data and boiler operation data, judging and calculating characteristic quantity of the coal quality component data and the boiler operation data, calculating a dimensionless combustion stability analysis criterion under an actual operation condition according to the characteristic quantity, and judging the combustion stability state of the boiler by adopting the dimensionless combustion stability analysis criterion under the actual operation condition, the problems that the stable combustion condition can not be quantitatively evaluated and manually judged at present are solved;
(2) the intelligent boiler combustion stability judging system provided by the invention directly obtains data from the MIS system and the DCS system without additional equipment, and has the advantages of simple and reliable system structure, less overall investment and less maintenance work;
(3) the invention adopts the dimensionless criterion to judge the combustion stability of the boiler, the criterion comprises the coal quality condition, the running state parameters and the like, the combustion stability condition can be evaluated and judged by integrating all factors, the whole control process does not need any participation of operators, and the intelligent and quantitative combustion stability judgment is realized.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application.
FIG. 1 is a schematic diagram of an intelligent boiler combustion stability determination system suitable for large power plants;
FIG. 2 is an operational interface of an intelligent boiler combustion stability determination system suitable for large power plants;
the system comprises an MIS system, a DCS system, a data acquisition module, a coal quality component processing module, a primary air processing module, a fire detection intensity processing module, a furnace pressure fluctuation processing module, a data decision module, an input terminal, a data output terminal and a fire detection intensity processing module, wherein the MIS system, the DCS system, the data acquisition module, the coal quality component processing module, the primary air processing module, the fire detection intensity processing module, the furnace pressure fluctuation processing module, the data decision module.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
As described in the background art, the prior art has a disadvantage that it is difficult to accurately and quantitatively determine the combustion stability due to a large error in the processing and mathematical analysis of the flame image.
In a typical implementation manner of the present application, as shown in fig. 1, an intelligent boiler combustion stability determination system suitable for a large power station is provided, the intelligent boiler combustion stability determination system suitable for a large power station includes a server, and the server is disposed in a workstation of a substation and communicates with an MIS system 1 and a DCS system 2.
The server comprises a data acquisition module 3, a data processing module and a data decision module 8.
Wherein, the data acquisition module 3 is configured to acquire each air drying base component content of the coal from the MIS system 1 and acquire a primary wind speed parameter, a primary wind temperature parameter, fire detection intensity of each combustor, PSOD switch position of each primary wind pipeline and furnace pressure parameter from the DCS system 2, and transmit the parameters to the data processing module.
The data processing module 3 is configured to determine whether the received parameters are within a corresponding preset threshold range, reject data exceeding the corresponding preset threshold range, calculate a characteristic quantity according to the data within the corresponding preset threshold range, and transmit the determination result and the characteristic quantity to the data decision module. The characteristic quantities comprise coal quality factors, primary air temperature average values, primary air speed average values, average values of minimum fire detection intensity values of all layers and average values of pressure fluctuation range of the hearth. The data processing module comprises:
and the coal quality component processing module 4 is configured to calculate the sum of the content of each air drying base component according to the content of each air drying base component of the received coal, judge whether the sum of the content of each air drying base component is within the range of a corresponding preset threshold value, reject data exceeding the content of the preset air drying base component and the threshold value, calculate a coal quality combustion characteristic index according to the data within the content of the preset air drying base component and the threshold value, calculate a coal quality factor based on the coal quality combustion characteristic index, and transmit the judgment result and the coal quality factor to the data decision module.
A primary wind processing module 5 configured to determine whether the primary wind speed and the primary wind temperature parameter are within a corresponding preset threshold range according to the received primary wind speed and the primary wind temperature parameter, reject data exceeding the preset primary wind temperature and the primary wind speed threshold, calculate an average value of the primary wind speed and the primary wind speed according to the data within the preset primary wind speed and the primary wind speed threshold, and transmit the determination result and the average value of the primary wind speed and the primary wind speed to the data decision module.
And the fire detection intensity processing module 6 is configured to judge whether each combustor is put into operation according to whether the coal mill is in operation and the PSOD switch position of each primary air pipeline, judge whether the fire detection intensity parameter is within a corresponding preset threshold range according to the received fire detection intensity parameter of each combustor under the condition that each combustor is put into operation, eliminate data exceeding the preset fire detection intensity threshold value and send alarm information to a DCS (distributed control system), select the minimum fire detection intensity value of each layer of put-into-operation combustor according to the data within the preset fire detection intensity threshold value, calculate the average value of the minimum fire detection intensity values of each layer, and transmit the judgment result and the average value of the minimum fire detection intensity values of each layer to the data decision module.
And the furnace pressure fluctuation processing module 7 is configured to smooth the fluctuation range of the received furnace pressure parameter, calculate the average value of the furnace pressure fluctuation range and transmit the average value of the furnace pressure fluctuation range to the data decision module.
And the data decision module 8 is configured to calculate a dimensionless combustion stability analysis criterion under the actual operation condition according to the received coal quality factor, the average value of the primary air temperature, the average value of the primary air speed, the average value of the minimum value of each layer of fire detection intensity and the average value of the furnace pressure fluctuation amplitude, compare the dimensionless combustion stability analysis criterion under the actual operation condition with a set dimensionless combustion stability analysis criterion critical value, and judge whether the boiler combustion is stable.
Further comprising:
and the input terminal 9 is connected with the data acquisition module and is used for manually inputting the content data of each air drying base component of the coal.
If the power plant has no MIS system or the coal quality analysis data does not enter, the coal quality component data needs to be manually input from the input terminal by a laboratory staff or an operator, and the data acquisition module acquires the content of each air drying base component of the coal from the input terminal.
And the output terminal 10 is connected with the data decision module and is used for displaying the dimensionless combustion stability analysis criterion, the deviation degree of each parameter and the alarm information under the actual operation condition.
According to the intelligent boiler combustion stability judging system applicable to the large-scale power station, the content of each air drying base component of coal entering a boiler is obtained from an MIS system through a data acquisition module, and boiler operation data is obtained from a DCS system; judging and processing the content of each air drying base component of the coal by a coal quality component processing module, calculating and outputting a coal quality factor; the primary wind processing module is used for judging, processing and calculating each primary wind speed and wind temperature parameter and outputting an average value of the primary wind speed and the primary wind temperature; judging the position of a PSOD switch in a fire detection intensity processing module, judging, processing and calculating the fire detection intensity of the PSOD at an open position, and outputting the average value of the minimum value of each layer of fire detection intensity and abnormal data; and judging and processing the hearth pressure in a hearth pressure fluctuation processing module, outputting the hearth pressure fluctuation range, calculating a dimensionless analysis criterion for judging the combustion stability of the boiler through a data decision module, judging the combustion stability and giving an abnormal alarm. The intelligent boiler combustion stability judging system is installed and operated by adopting the workstation of the transformer substation, is communicated with the DCS system and the MIS system, is convenient to debug or maintain, and does not have any influence on the DCS system.
The working method of the intelligent boiler combustion stability judgment system suitable for the large-scale power station comprises the following steps:
step 101: and collecting coal quality component data and boiler operation data.
In the process of executing step 101, the data collection module collects the content of each air drying base component of the coal from a MIS (Management information system) system of the power plant and collects a primary air speed parameter, a primary air temperature parameter, fire detection intensity of each burner, a PSOD switch position of each primary air duct and a furnace pressure parameter from a DCS (distributed Control system) system of the power plant, and sends the primary air speed parameter, the primary air temperature parameter, the fire detection intensity of each burner, and the PSOD switch position and the furnace pressure parameter to the data processing module.
If the power plant has no MIS system or the coal quality analysis data does not enter, the coal quality component data needs to be manually input from the input terminal by a laboratory staff or an operator, and the data acquisition module acquires the content of each air drying base component of the coal from the input terminal.
Step 102: and the data processing module is used for processing and analyzing the collected coal quality component data and boiler operation data and calculating a characteristic value.
Step 1021: and (3) coal quality component data processing:
the coal quality component processing module receives the content of each air drying base component of actual coal in real time, wherein the content of each air drying base component of the actual coal comprises Mad'，Vad'，FCad'，Aad', the air-drying-based component contents M of the design coal types of the boiler are obtained according to the design specifications of the boilerad"，Vad"，FCad"，Aad"; wherein, Vad"and Vad' air-dry basis volatile matter content of design and actual coal types, respectively, unit is%; cad"and Cad' air-dry basis fixed carbon content in units of design and actual coal types, respectively; a. thead"and Aad' air-dry basis ash content in units of design and actual coal types, respectively; mad"and Mad' air-dry basis composition in% of design and actual coal species, respectively.
In a coal quality analysis module, performing error analysis on the obtained content of each air drying base component of the actual coal type, and adopting an equation (1) as a preset content of the air drying base component and a threshold range:
In the formula, xi' is a coal industry analytical component, comprising Mad'，Vad'，FCad'，Aad', in%. And when the sum of the obtained content of each air drying base component of the actual coal type exceeds the preset air drying base component content and threshold value range formula (1), eliminating data exceeding the preset air drying base component content and threshold value range, storing the data within the preset air drying base component content and threshold value range, and sending the judgment result to the data decision module. And when the judgment result received by the data decision module is negative, the data decision module sends an early warning signal to the DCS for early warning.
Calculating the coal combustion characteristic index of the designed and actual coal types according to the preset air drying base component content and data in a threshold value, wherein the calculation formula of the coal combustion characteristic index is as follows:
Fz"＝(Vad"+Mad")2×Cad"×10-6(2)
Fz'＝(Vad'+Mad')2×Cad'×10-6(3)
Fz"and Fz' is the coal quality combustion characteristic index of the design and actual coal types, respectively.
Calculating a coal quality factor α according to the coal quality combustion characteristic indexes of the designed and actual coal types, wherein the calculation formula of the coal quality factor α is as follows:
the coal quality analysis module outputs the coal quality factor α and transmits the coal quality factor to the data decision module.
Step 1022: processing primary wind related data:
carrying out error analysis on the collected and received primary wind speed and primary wind temperature parameters in a primary wind processing module, and adopting formulas (5) and (6) as a preset primary wind temperature threshold range and a preset primary wind speed threshold range;
18＜ω＜38 (5)
45＜T＜130 (6)
in the formula, omega is a primary wind speed parameter and the unit is m/s; t is primary air temperature parameter, and the unit is ℃.
And when the primary wind speed or primary wind temperature parameter exceeds the primary wind temperature threshold range and the primary wind speed threshold range preset in the formulas (5) and (6), rejecting data exceeding the primary wind temperature and primary wind speed threshold range, storing the data within the primary wind temperature and primary wind speed threshold range, and transmitting a judgment result to the data decision module. And when the judgment result received by the data decision module is negative, the data decision module sends an early warning signal to the DCS for early warning.
Calculating the average value omega of the primary air temperature according to the data in the preset primary air temperature and the primary air speed thresholdaverageAnd the average value T of the primary wind speedaverageAnd the average value omega of the primary air temperature is calculatedaverageAnd the average value T of the primary wind speedaverageTransmitted to the data decision module
Step 1023: and (3) processing the fire detection intensity:
in the fire detection intensity processing module, the received fire detection intensity parameters of each combustor are subjected to error analysis, and the formula (7) is adopted as a preset fire detection intensity threshold range:
50＜Dij＜105 (7)
in the formula, D is a fire detection intensity parameter of the combustor, unit percent, i is the number of layers of the combustor, generally including an A layer, a B layer, a C layer, a D layer, an E layer and an F layer; j is the number of burners of each layer, the range of j is 1 to 4 for a boiler with tangential firing at four corners, the range of j is 1 to 5 for a boiler with opposed firing, for example, the fire detection intensity of a No. 3 burner of the B layer is DB3。
When the fire detection intensity parameters of the burners are judged, whether the burners of the layer are put into operation or not is judged according to whether the coal mill runs or not, then whether the burners are put into operation or not is judged according to the switch position of a primary air duct baffle plate PSOD (primary shed-off damper), whether the fire detection intensity parameters of the burners are in the range of the preset fire detection intensity threshold value or not is judged according to the formula (7) under the condition that the coal mill is put into operation and the PSOD switch is turned on, and when the fire detection intensity parameters exceed the range of the preset fire detection intensity threshold value, data exceeding the range of the preset fire detection intensity threshold value are removed, and the data within the range of the preset fire detection intensity threshold value are stored. And when the judgment result received by the data decision module is negative, the data decision module sends an early warning signal to the DCS for early warning.
Then selecting the minimum fire detection intensity value in the burners put into operation on each floor, namely
Then averaging the minimum values of each layer
And taking the average value D of the minimum values of all layersminAnd transmitting the data to a data decision module.
Step 1024: and (3) processing the pressure fluctuation of the hearth:
the hearth pressure fluctuation processing module processes the acquired hearth pressure parameters, because the hearth pressure fluctuation is frequent, the hearth pressure fluctuation amplitude is smoothed, the processing method is to select the first five pressure fluctuation amplitudes and then calculate the average value of the hearth pressure fluctuation amplitudes, namely:
ΔPithe pressure fluctuation amplitude of the hearth is represented by i, 1,2,3,4 and 5; and the delta P is the average value of the pressure fluctuation amplitude of the hearth.
And the furnace pressure processing module outputs the average value delta P of the furnace pressure fluctuation amplitude to the data decision module.
Step 103: and the data decision module calculates a dimensionless combustion stability analysis criterion under the actual operation condition according to the received coal quality factor, the average value of the primary air temperature, the average value of the primary air speed, the average value of the minimum value of each layer of fire detection intensity and the average value of the pressure fluctuation range of the hearth, compares the dimensionless combustion stability analysis criterion under the actual operation condition with a set dimensionless combustion stability analysis criterion critical value, and judges whether the boiler combustion is stable.
And the data decision module compares the received average value of the hearth pressure fluctuation amplitude with 0, rejects the average value delta P of the hearth pressure fluctuation amplitude when delta P is 0, and calculates a dimensionless combustion stability analysis criterion according to the average value of the hearth pressure fluctuation amplitude which is not zero.
The invention adopts dimensionless analysis criterion β to judge the combustion stability of the boiler, and the definition formula of the dimensionless analysis criterion β is as follows:
firstly, according to the air dry basis component content of designed coal and previous operation data, in particular to the operation data in the furnace-stopping process and accident process, a dimensionless combustion stability analysis criterion β is calculated, and the calculation result is compared to determine a dimensionless combustion stability analysis criterion critical value βcr。
A dimensionless combustion stability analysis criteria β is then calculated for actual operating conditions1β will be1And βcrFor comparison, if βcr＞β1And βcr-β1If it is greater than 0.5, it indicates that the boiler is stable in combustion and its state is safe, if 0 is greater than βcr-β1If the combustion temperature is less than 0.5, indicating that the boiler combustion is unstable, the data decision module sends an alarm signal to the DCS system to give an alarm, and corresponding adjustment suggestions are given according to the deviation degree of each parameter, if βcr＜β1And the data decision module sends an alarm signal to the DCS to give an alarm and give the deviation degree of each parameter.
The following describes a system and method for determining combustion stability of a boiler according to an exemplary embodiment.
Example one
A #4 boiler of a power plant of Huaneng group is a subcritical, intermediate once reheating and forced circulation drum boiler with the evaporation capacity of 1025t/h, the combustion mode is a four-corner tangential circle combustion mode, six layers of pulverized coal burners are arranged at each corner and are arranged at intervals with secondary air nozzles, and a pulverizing system is a direct-blowing type matched with 6 medium-speed coal mills. At present, the peak regulation capability of an electric power system is insufficient, the contradiction that the peak-to-valley difference is large is increasingly prominent, relevant departments of the state also set corresponding policies, thermal power generating units are encouraged to carry out deep peak regulation to relieve the contradiction, the power plants actively participate in the deep peak regulation in order to adapt to new electric power forms, and in order to avoid the problem that the combustion stability of the units is difficult to accurately judge during the deep peak regulation of parameters, so that the combustion is unstable and even the boiler extinguishes, the power plants adopt an intelligent boiler combustion stability judgment system and method during the extended minor repair.
The MIS system data in the power plant is relatively perfect, the coal quality analysis data of the coal to be fired is complete, the content data of each air drying base component of the coal to be fired required by the combustion stability judging system can be directly collected from the MIS system, and meanwhile, in order to reduce the influence of the combustion stability judging system on the DCS system during debugging or running, the intelligent boiler combustion stability judging system adopts a mode of independently setting up a workstation and transmits data in a mode of communicating with the DCS system.
In the embodiment, the whole system operates through data of three levels of a data acquisition module, a data processing module and a data decision module, and then the final judgment result and the calculation result are sent to a DCS (distributed control system) for displaying and alarming.
In the data acquisition module, industrial analysis data of the coal quality in the furnace is directly acquired from the MIS system, and boiler operation data acquired from the DCS system comprise a furnace pressure parameter P (Pa), fire detection intensity parameters D (%), PSOD switch positions of primary air pipelines, and primary air speed parameters omega (m/s) and T (DEG C).
In the data processing module, the coal quality component processing module is used for judging, processing and calculating the content of each air drying base component of the coal entering the furnaceAnd outputting coal quality factor α and abnormal data, judging and calculating primary wind speed and primary wind temperature parameters in the primary wind processing module, and outputting primary wind speed average value omegaaverageAnd the primary air temperature average value TaverageAnd exception data; in the fire detection intensity processing module, the PSOD switch position of the primary air pipeline is judged at first, the fire detection intensity of the PSOD at the open position is judged, processed and calculated, and the average value of the minimum value of the fire detection intensity of each layer is output
And exception data; the hearth pressure fluctuation processing module judges and processes the hearth pressure and outputs the hearth pressure fluctuation range
And abnormal data, wherein the data output by the four modules are sent to a data decision module for operation, a dimensionless analysis criterion β for judging the combustion stability of the boiler is calculated in the data decision module, and then a β value, the judgment of the current combustion stability and operation guidance are output to a DCS for displaying, and abnormal data alarms of the four data processing modules (a coal quality component processing module, a primary air processing module, a fire detection intensity processing module and a furnace pressure fluctuation processing module) are reminded to run personnel.
In this embodiment, an interface is configured in the operating DCS system as shown in fig. 2, and two buttons in the interface are respectively a cut-in button and a cut-out button of the combustion stability determination system, a dimensionless analysis criterion β value, a determination result display of a current combustion condition according to a value β, an alarm display of an abnormal operating data, and an operation suggestion.
The system and the method for judging the combustion stability of the intelligent boiler suitable for the large-scale power station adopt the dimensionless criterion β to judge the combustion stability of the boiler, the dimensionless criterion β comprises the coal quality condition, the running state parameters and the like, the combustion stability condition can be evaluated and judged by integrating all factors, the system can automatically complete the whole control process without the participation of running personnel, and the intellectualization is realized.
According to the invention, according to the actual condition of the boiler combustion operation, the factors influencing the boiler combustion stability and the operation analysis data are subjected to fusion processing, so that the quantitative evaluation and judgment of the boiler combustion stability are realized, and the judgment can be carried out aiming at the influencing factors, so that the operator can obtain the quantitative judgment of the combustion stability in real time in the operation process.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.
Claims (10)
1. The utility model provides an intelligent boiler combustion stability judges system suitable for large-scale power station, characterized by, intelligent boiler combustion stability judges system suitable for large-scale power station includes the server, the server sets up in the workstation of transformer substation and with MIS system and DCS system intercommunication, the server includes:
the data acquisition module is configured to acquire the content of each air drying base component of the coal from the MIS system and acquire a primary air speed parameter, a primary air temperature parameter, the fire detection intensity of each combustor, the PSOD switch position of each primary air pipeline and a furnace pressure parameter from the DCS system, and transmit the primary air speed parameter, the primary air temperature parameter, the fire detection intensity of each combustor, and the PSOD switch position and the furnace pressure parameter to the data processing module;
the data processing module is configured to judge whether the received parameters are within a corresponding preset threshold range, eliminate data beyond the corresponding preset threshold range, calculate characteristic quantity according to the data within the corresponding preset threshold range, and transmit the judgment result and the characteristic quantity to the data decision module;
the data decision module is configured to calculate a dimensionless combustion stability analysis criterion under the actual operation condition according to the received characteristic quantity, compare the dimensionless combustion stability analysis criterion under the actual operation condition with a set dimensionless combustion stability analysis criterion critical value and judge whether the boiler combustion is stable;
dimensionless analysis criteria β is defined by the following formula:
wherein α is a coal quality factor DminThe average value of the minimum value of the fire detection intensity of each layer; delta P is the pressure fluctuation range of the hearth; omegaaverageThe average value of the primary wind speed is obtained; t isaverageAverage value of primary air temperature.
2. The intelligent boiler combustion stability determination system for large scale power plants of claim 1, wherein the data processing module comprises:
the coal quality component processing module is configured to calculate the sum of the content of each air drying base component according to the content of each air drying base component of the received coal, judge whether the sum of the content of each air drying base component is within the content and the threshold of the preset air drying base component, eliminate data exceeding the content and the threshold of the preset air drying base component, calculate a coal quality combustion characteristic index according to the content and the data within the threshold of the preset air drying base component, calculate a coal quality factor based on the coal quality combustion characteristic index, and transmit the judgment result and the coal quality factor to the data decision module.
3. The intelligent boiler combustion stability determination system for large scale power plants of claim 2, wherein the data processing module further comprises:
a primary wind processing module configured to determine whether the primary wind speed and the primary wind temperature parameter are within a preset primary wind temperature and primary wind speed threshold range according to the received primary wind speed and primary wind temperature parameter, to reject data that exceed the preset primary wind temperature and primary wind speed threshold range, to calculate an average value of the primary wind speed and the primary wind speed according to the data within the preset primary wind temperature and primary wind speed threshold range, and to transmit the determination result and the average value of the primary wind speed and the primary wind speed to a data decision module;
the fire detection intensity processing module is configured to judge whether each combustor is put into operation according to whether the coal mill is in operation and the PSOD switch position of each primary air pipeline, judge whether the fire detection intensity parameter is within a preset fire detection intensity threshold range according to the received fire detection intensity parameter of each combustor under the condition that each combustor is put into operation, eliminate data beyond the preset fire detection intensity threshold range, select the minimum fire detection intensity value of each layer of the put-into-operation combustor according to the data within the preset fire detection intensity threshold range, calculate the average value of the minimum fire detection intensity values of each layer, and transmit the judgment result and the average value of the minimum fire detection intensity values of each layer to the data decision module;
and the furnace pressure fluctuation processing module is configured to smooth the fluctuation range of the received furnace pressure parameter, calculate the average value of the furnace pressure fluctuation range and transmit the average value of the furnace pressure fluctuation range to the data decision module.
4. The intelligent boiler combustion stability determination system for large scale power plants as claimed in claim 1, further comprising:
the input terminal is connected with the data acquisition module and is used for manually inputting the content data of each air drying base component of the coal;
and the output terminal is connected with the data decision module and is used for displaying the dimensionless combustion stability analysis criterion, the deviation degree of each parameter and the alarm information under the actual operation condition.
5. An operating method of the intelligent boiler combustion stability judging system suitable for the large-scale power station according to any one of claims 1 to 4, characterized by comprising the following steps:
the data acquisition module acquires the content of each air drying base component of the coal from the MIS system, acquires a primary air speed parameter, a primary air temperature parameter, fire detection intensity of each combustor, PSOD switch position of each primary air pipeline and furnace pressure parameter from the DCS system, and sends the parameters to the data processing module;
the data processing module judges whether the received parameter data are in the corresponding preset threshold range, eliminates the data beyond the corresponding preset threshold range, calculates the characteristic quantity according to the data in the corresponding preset threshold range, and transmits the judgment result and the characteristic quantity to the data decision module;
and the data decision module calculates a dimensionless combustion stability analysis criterion under the actual operation condition according to the received characteristic quantity, compares the dimensionless combustion stability analysis criterion under the actual operation condition with a set dimensionless combustion stability analysis criterion critical value, and judges whether the boiler combustion is stable.
6. The operating method of the intelligent boiler combustion stability judging system for the large-scale power plant as claimed in claim 5, wherein the characteristic quantities include a coal quality factor, an average value of primary air temperature, an average value of primary air speed, an average value of each layer of fire detection intensity minimum value and an average value of furnace pressure fluctuation amplitude.
7. The operating method of the intelligent boiler combustion stability judging system for large power plants as claimed in claim 5, wherein the data processing module performs filtering processing on the received data, eliminates data exceeding the corresponding preset threshold range, calculates the characteristic quantity according to the data within the corresponding preset threshold range, and transmits the characteristic quantity to the data decision module, and comprises:
the coal quality component processing module calculates the sum of the content of each air drying base component according to the content of each air drying base component of the received coal, judges whether the sum of the content of each air drying base component is within the range of the content of a preset air drying base component and a threshold value, eliminates data beyond the range of the content of the preset air drying base component and the threshold value, calculates a coal quality combustion characteristic index according to the content of the preset air drying base component and the data within the threshold value, calculates a coal quality factor based on the coal quality combustion characteristic index, and transmits the judgment result and the coal quality factor to the data decision module;
the primary wind processing module judges whether the primary wind speed and the primary wind temperature parameter are within a preset primary wind temperature and primary wind speed threshold range or not according to the received primary wind speed and the primary wind temperature parameter, eliminates data beyond the preset primary wind temperature and primary wind speed threshold range, calculates an average value of the primary wind speed and the primary wind speed according to the data within the preset primary wind temperature and primary wind speed threshold range, and transmits a judgment result and the average value of the primary wind speed and the primary wind speed to the data decision module;
the fire detection intensity processing module judges whether each combustor is put into operation or not according to whether the coal mill is in operation or not and the PSOD switch position of each primary air pipeline, judges whether the fire detection intensity parameter is within the range of a preset fire detection intensity threshold value or not according to the received fire detection intensity parameter of each combustor under the condition that each combustor is put into operation, rejects data beyond the range of the preset fire detection intensity threshold value, selects the minimum fire detection intensity value of each layer of the put-into-operation combustor according to the data within the range of the preset fire detection intensity threshold value, calculates the average value of the minimum fire detection intensity values of each layer, and transmits the judgment result and the average value of the minimum fire detection intensity values of each layer to the data decision module;
the hearth pressure fluctuation processing module carries out smooth processing on the fluctuation range of the received hearth pressure parameters, calculates the average value of the hearth pressure fluctuation range and transmits the average value of the hearth pressure fluctuation range to the data decision module.
8. The method as claimed in claim 7, wherein when the data decision module receives a negative decision, the data decision module sends an alarm signal to the DCS system to give an alarm and the deviation degree of each parameter.
9. The operating method of the intelligent boiler combustion stability judging system for large-scale power stations as set forth in claim 7, wherein the operating method further comprises:
and the data decision module compares the average value of the received furnace pressure fluctuation amplitude with zero, rejects the average value of the furnace pressure fluctuation amplitude equal to zero and sends alarm information to the DCS.
10. The method as claimed in claim 5, wherein the step of comparing the dimensionless combustion stability analysis rule under actual operation condition with the critical value of the dimensionless combustion stability analysis rule to determine whether the combustion of the boiler is stable comprises:
analyzing β dimensionless combustion stability under actual operation condition1And a set critical value β of dimensionless combustion stability analysis criterioncrComparing;
if βcr＞β1And βcr-β1If the combustion temperature is more than 0.5, the combustion of the boiler is stable;
if 0 < βcr-β1< 0.5 or βcr＜β1If the boiler is not stable in combustion, the data decision module sends an alarm signal to the DCS to give an alarm, and the deviation degree of each parameter is given.
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