CN111024920A - Real-time on-line monitoring system and method for coal quality in furnace - Google Patents
Real-time on-line monitoring system and method for coal quality in furnace Download PDFInfo
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- CN111024920A CN111024920A CN201911392100.2A CN201911392100A CN111024920A CN 111024920 A CN111024920 A CN 111024920A CN 201911392100 A CN201911392100 A CN 201911392100A CN 111024920 A CN111024920 A CN 111024920A
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- G01N25/00—Investigating or analyzing materials by the use of thermal means
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Abstract
The present disclosure provides a system and a method for real-time on-line monitoring of coal quality in a furnace. In the real-time on-line monitoring system for the coal quality entering the boiler, a data acquisition module is configured to acquire the operation data of the boiler and a coal pulverizing system; the coal quality component detection module is configured to perform real-time online detection on the coal quality index; the communication module is configured to send the data acquired by the data acquisition module and the real-time online detection result of the coal quality component detection module to the monitoring module; the monitoring module is configured to obtain the layered state of multiple coal types of the raw coal bunker, the current coal quality condition of entering the furnace and the change reminding information of the combustion coal type according to the operation data and the real-time online detection result; and the operation display module is configured to display the layered states of multiple coal types of the raw coal bunker, the current coal quality condition of the coal entering the furnace and the change reminding information of the combustion coal type. The method and the device are beneficial to improving the informatization capability and the operation optimization level of the coal quality of the unit, and further realize energy conservation and consumption reduction of the unit.
Description
Technical Field
The disclosure relates to the field of energy conservation and optimization of power station boilers, in particular to a system and a method for monitoring coal quality in a boiler in real time on line.
Background
The energy composition of China is mainly coal, and currently, thermal power occupies about 70% of all power generation scales. According to the latest prediction of long-term development in the power industry, the installed total capacity of China reaches 13.4 hundred million kilowatts in 2020, wherein the installed total capacity of coal and electricity is 9.1 hundred million kilowatts, and the power generation mode of a thermal power generating unit in China still accounts for 55-60% of all power generation modes in 2050. The coal-fired unit will develop towards high-efficient energy-conserving, mixing burning, ultralow emission etc. in the future. The method of burning low-price coal or mixed coal is the first measure taken by a thermal power generating unit when the cost is reduced.
At present, contact type material level meters such as a weight hammer type and a radio frequency admittance meter or non-contact type material level meters such as a radar type, a laser ray and an ultrasonic wave are generally installed in a coal powder bin of a coal-fired power plant, the height of coal powder can be monitored in real time, but the total height of the coal powder is monitored by the material level meters. Under the policy of blending coal and burning low-price coal as much as possible, multiple coal types may exist in the same raw coal bunker, and operators are more concerned about the coal types actually fed into the furnace at the lowest layer. The existing pulverized coal bunker is similar to a black box for operators, and the change of the coal in the bunker and the actual coal fed into the furnace are difficult to be mastered in real time and are not beneficial to operation adjustment.
Meanwhile, for the existing coal-fired unit, coal quality online detection equipment is installed successively, but if actual coal types entering the furnace of each mill are monitored in real time through the equipment, equipment needs to be installed on coal powder pipelines entering the furnace of each mill, for example, a 300MW tangential firing unit is taken as an example, 20 sets of equipment need to be installed on 5 coal mills, so that the investment is huge and the maintenance is difficult. For other units without coal quality on-line detection equipment, the coal quality is mostly detected by off-line sampling assay, the sampling frequency is 8-24 hours, and the large lag can not meet the requirements of real-time combustion adjustment and optimized operation of the boiler.
Disclosure of Invention
The utility model provides a scheme to going into stove coal quality real-time on-line monitoring can effectively promote unit coal quality informationization ability and operation optimization level.
According to a first aspect of the embodiments of the present disclosure, a system for real-time online monitoring of coal quality entering a furnace is provided, which includes: the data acquisition module is configured to acquire the operation data of the boiler and the pulverizing system; the coal quality component detection module is configured to perform real-time online detection on the coal quality index; the communication module is configured to send the data acquired by the data acquisition module and the real-time online detection result of the coal quality component detection module to the monitoring module; the monitoring module is configured to obtain the layering state of multiple coal types of the raw coal bunker, the current coal quality condition of entering the furnace and the change reminding information of the combustion coal type according to the operation data and the real-time online detection result; and the operation display module is configured to display the layered states of the multiple coal types of the raw coal bunker, the current coal quality condition of the raw coal bunker and the change reminding information of the combustion coal type.
In some embodiments, the coal quality indicators include coal ash, coal moisture, coal calorific value, coal volatile, and coal sulfur.
In some embodiments, the coal quality component detection module is configured to obtain the coal quality index by using an online coal quality detection device; the coal quality on-line detection equipment comprises: the coal ash analyzer is configured to detect the calorific value and the ash content of the coal entering the furnace on line; the coal moisture meter is configured to detect moisture of coal entering the furnace on line; and the coal sulfur analyzer is configured to detect the volatile components and the sulfur components of the coal entering the furnace on line.
In some embodiments, the coal ash analyzer and the coal moisture analyzer are installed at the coal conveying main belt of the power plant side by side in front and back; the coal sulfur analyzer is arranged at the belt of the sampling machine of the power plant.
In some embodiments, the coal ash meter, the coal moisture meter, and the coal sulfur meter sample at a predetermined sampling frequency; the data acquisition module extracts the average value of the sampling data of the coal ash content meter and the coal moisture content meter in a preset time period as detection data; and the data acquisition module acquires sampling data of the coal sulfur analyzer according to the preset frequency.
In some embodiments, the coal quality component detection module is further configured to determine whether the coal quality being fired in the furnace is changed according to any one of the coal quality indicators.
In some embodiments, the monitoring module is configured to record an initial time of the coal quality change as t according to the operation data and the real-time online detection result1Obtaining t1Coal level height H at the moment1Obtaining the height H of the coal level according to a preset H-M curve of the relationship between the height of the coal level and the coal amount1Corresponding coal amount M1(ii) a In the coal supply time period, periodically integrating the coal supply amount in each preset time interval for one time to obtain the coal discharge amount in the corresponding time interval; using the coal amount M1Subtracting the amount of coal to obtain a corresponding amount of coal M2Obtaining the coal quantity M according to a preset coal quantity-coal level height relation M-H curve2Corresponding coal level height H2So as to adjust the height H of the coal level2As an interface between two coal qualities.
In some embodiments, the monitoring module is configured to be at a coal level height H2And generating combustion coal type change reminding information when the combustion coal type is smaller than the preset value.
In some embodiments, the monitoring module is configured to find the demarcation coalbed height H of the cylindrical and conical sections according to the structure of the raw coal bunkerfenWherein the raw coal bunker has a structure that the upper part is a cylindrical section and the lower part is a conical section; finding a transformation section of the height of the coal level of the raw coal bunker according to the historical data, wherein in the transformation section, the maximum value HmaxGreater than HfenMinimum value HminIs less than Hfen(ii) a With HminThe time is the calculation starting point, and the height of the coal level at the corresponding moment is recorded as MminIntegrating the coal feeding amount in the conversion section to obtain the coal amount and MminThe variation △ M, then the coal level is inquired by the time point to obtain the height and H of the coal levelminThe variation △ H is obtained until the coal level reaches the maximum value, a data table of △ H- △ M is obtained, discrete coal level height variation and coal amount variation are obtained, a curve of △ H- △ M discrete data is interpolated to calculate the coal level height variation-coal amount variation △ H- △ M of the coal bunker in the conversion section, and the curves are respectively in a cylindrical section and a conical sectionAnd a section, extending the △ H- △ M curve to the full height and the empty height of the raw coal bin with a preset slope to obtain a coal level height-coal amount curve, namely an H-M curve, of the raw coal bin from the full height to the empty height, and transposing the H-M curve to obtain a coal amount-coal level height relation curve, namely an M-H curve.
According to a second aspect of the embodiments of the present disclosure, a method for monitoring coal quality in a furnace in real time on line is provided, which includes: collecting operation data of a boiler and a pulverizing system; performing real-time online detection on the coal quality index; obtaining the layered state of multiple coal types of a raw coal bunker, the current coal quality condition of entering a furnace and the change reminding information of the combustion coal type according to the operation data and the real-time online detection result; and displaying the layered state of multiple coal types of the raw coal bunker, the current coal quality condition of the raw coal bunker and the reminding information of the change of the combustion coal type.
In some embodiments, the coal quality indicators include coal ash, coal moisture, coal calorific value, coal volatile, and coal sulfur.
In some embodiments, the calorific value and the ash content of the coal entering the furnace are detected on line by using a coal ash analyzer; detecting the moisture of the coal entering the furnace on line by using a coal moisture meter; and (4) utilizing a coal sulfur analyzer to detect the volatile components and the sulfur components of the coal quality entering the furnace on line.
In some embodiments, the coal ash analyzer and the coal moisture analyzer are installed at the coal conveying main belt of the power plant side by side in front and back; the coal sulfur analyzer is arranged at the belt of the sampling machine of the power plant.
In some embodiments, the coal ash meter, the coal moisture meter, and the coal sulfur meter sample at a predetermined sampling frequency; extracting the average value of the sampling data of the coal ash content meter and the coal moisture content meter in a preset time period as detection data; and collecting sampling data of the coal sulfur analyzer according to a preset frequency.
In some embodiments, it is determined whether the quality of the coal being fired in the furnace has changed based on any of the coal quality indicators.
In some embodiments, according to the operation data and the real-time online detection result, the initial time of the coal quality change is recorded as t1Obtaining t1Coal level height H at the moment1Obtaining the height H of the coal level according to a preset H-M curve of the relationship between the height of the coal level and the coal amount1Corresponding coal amount M1(ii) a In the coal supply time period, periodically integrating the coal supply amount in each preset time interval for one time to obtain the coal discharge amount in the corresponding time interval; using the coal amount M1Subtracting the amount of coal to obtain a corresponding amount of coal M2Obtaining the coal quantity M according to a preset coal quantity-coal level height relation M-H curve2Corresponding coal level height H2So as to adjust the height H of the coal level2As an interface between two coal qualities.
In some embodiments, at a coal level height H2And generating combustion coal type change reminding information when the combustion coal type is smaller than the preset value.
In some embodiments, the dividing coal level height H of the cylindrical section and the conical section is found according to the structure of the raw coal bunkerfenWherein the raw coal bunker has a structure that the upper part is a cylindrical section and the lower part is a conical section; finding a transformation section of the height of the coal level of the raw coal bunker according to the historical data, wherein in the transformation section, the maximum value HmaxGreater than HfenMinimum value HminIs less than Hfen(ii) a With HminThe time is the calculation starting point, and the height of the coal level at the corresponding moment is recorded as MminIntegrating the coal feeding amount in the conversion section to obtain the coal amount and MminThe variation △ M, then the coal level is inquired by the time point to obtain the height and H of the coal levelminThe variation △ H is obtained until the coal level reaches the maximum value, a data table of △ H- △ M of discrete coal level height variation and coal amount variation is obtained, a △ H- △ M curve of coal level height variation and coal amount variation of a coal bunker in a conversion section is calculated by adopting an interpolation mode for the △ H- △ M discrete data, △ H- △ M curves are extended to the full bunker height and the empty bunker height of the raw coal bunker respectively in a cylindrical section and a conical section by a preset slope to obtain a coal level height-coal amount curve of the whole height of the raw coal bunker from the full bunker to the empty bunker, namely an H-M curve, and the H-M curve is transposed to obtain a coal amount-coal level height relation curve, namely an M-H curve.
Other features of the present disclosure and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description, serve to explain the principles of the disclosure.
The present disclosure may be more clearly understood from the following detailed description, taken with reference to the accompanying drawings, in which:
FIG. 1 is a schematic structural diagram of a system for real-time on-line monitoring of coal quality in a furnace according to an embodiment of the present disclosure;
FIG. 2 is a schematic flow chart of a method for real-time online monitoring of coal quality in a furnace according to an embodiment of the present disclosure.
It should be understood that the dimensions of the various parts shown in the figures are not drawn to scale. Further, the same or similar reference numerals denote the same or similar components.
Detailed Description
Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. The description of the exemplary embodiments is merely illustrative and is in no way intended to limit the disclosure, its application, or uses. The present disclosure may be embodied in many different forms and is not limited to the embodiments described herein. These embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. It should be noted that: the relative arrangement of parts and steps, the composition of materials and values set forth in these embodiments are to be construed as illustrative only and not as limiting unless otherwise specifically stated.
The use of the word "comprising" or "comprises" and the like in this disclosure means that the elements listed before the word encompass the elements listed after the word and do not exclude the possibility that other elements may also be encompassed.
All terms (including technical or scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs unless specifically defined otherwise. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
FIG. 1 is a schematic structural diagram of a system for real-time online monitoring of coal quality in a furnace according to an embodiment of the present disclosure. As shown in FIG. 1, the system for monitoring the coal quality in the furnace in real time on line comprises a data acquisition module 11, a coal quality component detection module 12, a communication module 13, a monitoring module 14 and an operation display module 15.
The data acquisition module 11 is configured to acquire operational data of the boiler and pulverizing systems.
In some embodiments, the interface program for collecting real-time data of DCS (Distributed Control System) runs on the industrial personal computer of the coal quality real-time on-line monitoring System, collects data from the DCS database through Modbus communication protocol, and writes the data into the real-time database on the System operating machine by using the communication interface. The corresponding operational data may include: switch signals of coal ploughs of all raw coal buckets, coal level height of all raw coal buckets, rotating speed of all coal feeders, actual load and the like. Meanwhile, the data acquisition module acquires coal quality index information including ash content, moisture, heat productivity, volatile components, sulfur content and other data from the database of the coal quality component detection module, and stores the data in the system real-time database.
The coal quality component detection module 12 is configured to perform real-time online detection on the coal quality indicator.
In some embodiments, the coal quality indicators include coal ash, coal moisture, coal calorific value, coal volatile, and coal sulfur.
In some embodiments, the coal quality component detection module 12 is configured to obtain the coal quality indicator by using an online coal quality detection device. For example, the coal quality online detection equipment comprises a coal ash analyzer, a coal moisture analyzer and a coal sulfur analyzer. The coal ash analyzer is configured to detect the calorific value and the ash content of the coal entering the furnace on line; the coal moisture meter is configured to detect moisture of coal entering the furnace on line; the coal sulfur analyzer is configured to detect volatile components and sulfur components of coal entering the furnace on line.
In some embodiments, the coal ash content meter and the coal moisture content meter are arranged at the coal conveying main belt of the power plant side by side in front of and behind the power plant, and the calorific value, moisture content and ash content of the coal quality entering the furnace are detected on line. For example, the device can be installed on a main belt before the first coal plough in the power plant, the coal ash content meter and the coal moisture content meter are both below 1 meter along the length of the belt, and the two meters are installed in front of and behind each other. The coal sulfur analyzer is arranged at a belt of a sampling machine of a power plant and is used for detecting volatile components and sulfur components of coal entering a furnace on line. For example, the device can be arranged on small belts of the two-stage division of the A and B sampling machines.
In some embodiments, the coal ash meter, the coal moisture meter, and the coal sulfur meter sample at a predetermined sampling frequency (e.g., 1 second/time). The data acquisition module extracts an average value of sampling data of the coal ash meter and the coal moisture meter over a predetermined period of time (for example, 1 minute) as detection data. The data acquisition module acquires sampling data of the coal sulfur analyzer according to a preset frequency (for example, 3 minutes/time).
In some embodiments, the coal quality component detection module 12 is further configured to determine whether the coal quality being fired in the furnace has changed based on any of the coal quality indicators.
By selecting a characteristic component from ash content, moisture content, calorific value, volatile matter and sulfur content, a plurality of sections are divided in the range of the characteristic component, and the coal is divided into a plurality of coal qualities according to different sections. For example, the calorific value of the power plant is selected as a characteristic component, the calorific value range of the power plant is 30000-.
The communication module 13 is configured to send the data collected by the data collection module and the real-time online detection result of the coal quality component detection module to the monitoring module.
The monitoring module 14 is configured to obtain the layered state of multiple coal types of the raw coal bunker, the current coal quality condition of the coal entering the furnace and the change reminding information of the combustion coal type according to the operation data and the real-time online detection result.
In some embodiments, the monitoring module 14 is configured to record the initial time t of the coal quality change according to the operation data and the real-time online detection result1Obtaining t1Coal level height H at the moment1Obtaining the height H of the coal level according to a preset H-M curve of the relationship between the height of the coal level and the coal amount1Corresponding coal amount M1. Periodically feeding coal M in each preset time interval in the coal feeding time periodfAnd performing one-time integration to obtain the lower coal amount in the corresponding time interval. For example, using the amount of coal M1Minus from t1T from the moment to the end of each predetermined time interval2The coal amount is discharged at the moment to obtain the corresponding coal amount M2. For example, the corresponding formula is:
then, obtaining the coal quantity M according to a preset coal quantity-coal level height relation M-H curve2Corresponding coal level height H2So as to adjust the height H of the coal level2As an interface between two coal qualities.
In some embodiments, the monitoring module 14 is configured to be at a coal level height H2And generating combustion coal type change reminding information when the combustion coal type is smaller than the preset value.
In some embodiments, the H-M and M-H curves described above are obtained as follows:
(1) because the structure of the raw coal bunker is an upper cylindrical section and a lower conical section, the height H of the boundary coal position of the cylindrical section and the conical section needs to be found through the structure diagram of the raw coal bunkerfen。
(2) And finding a section of data with the coal level height of the raw coal bunker continuously and greatly changed in historical data. The maximum value of this variation region (denoted as H)max) Is greater than HfenMinimum value (denoted as H)min) Is less than HfenI.e. the variation section comprising a section from a conical section to a cylindrical sectionThe coal level height changes.
(3) With HminThe time is the calculation starting point, and the height of the coal level at the moment is recorded as MminIntegrating the coal feeding amount in the selected data segment to obtain the coal amount and MminThe variation △ M, then the coal level is inquired by the time point to obtain the height and H of the coal levelminThe variation △ H is obtained until the maximum coal level time, and a series of discrete coal level height variation and coal amount variation, namely, a data table of △ H- △ M, can be obtained.
(4) For the discrete data of △ H- △ M, a curve of coal level height variation-coal amount variation △ H- △ M of the coal bunker in the time period can be calculated by adopting an interpolation mode.
(5) The coal feeding rate of the raw coal bin is respectively constant in the cylindrical section and the conical section, so that the △ H- △ M curve is a piecewise function in theory, the curve slopes of the cylindrical section and the conical section are respectively constant, the curve slopes of the two piecewise functions are respectively calculated, the curve extends to the full bin height and the empty bin height of the raw coal bin in the cylindrical section and the conical section respectively with the constant slopes, and a coal level height-coal amount curve, namely an H-M curve, of the whole height of the raw coal bin from the full bin to the empty bin can be obtained.
(6) And (4) transposing the H-M curve to obtain a coal quantity-coal level height relation curve, namely an M-H curve.
The operation display module 15 is configured to display the layered state of multiple coal types of the raw coal bunker, the current coal quality condition of the furnace and the reminding information of the change of the combustion coal type.
In some embodiments, the operation display module 15 may provide the following display contents:
(1) displaying a DCS configuration page: a man-machine interaction interface which is set up by a DCS configuration function and is provided for power plant operators can display interface information of various coal quality components and various coal types related to a system in real time and can also provide information for reminding of coal type change in combustion.
(2) And (3) historical trend analysis: the method has the advantages that historical data query is carried out on coal quality components and interface changes of multiple coal types in a curve mode, multiple curves can be compared on the same graph to carry out historical trend analysis and comparison, and historical information of combustion coal type change reminding can be checked.
(3) And (3) displaying a real-time curve: and checking the real-time values and the variation trends of the coal quality components and the interface variation of the multiple coal types in a real-time curve mode.
FIG. 2 is a schematic flow chart of a method for real-time online monitoring of coal quality in a furnace according to an embodiment of the present disclosure. In some embodiments, the following steps of the method for monitoring the quality of the coal entering the furnace in real time on line are executed by a system for monitoring the quality of the coal entering the furnace in real time on line.
In step 201, operational data of the boiler and pulverizing system is collected.
In some embodiments, the interface program for acquiring the DCS real-time data runs on an industrial personal computer of the coal quality real-time on-line monitoring system entering the furnace, acquires data from a DCS database through a Modbus communication protocol, and writes the data into the real-time database on the system working condition machine by using the communication interface. The corresponding operational data may include: switch signals of coal ploughs of all raw coal buckets, coal level height of all raw coal buckets, rotating speed of all coal feeders, actual load and the like. Meanwhile, the data acquisition module acquires coal quality index information including ash content, moisture, heat productivity, volatile components, sulfur content and other data from the database of the coal quality component detection module, and stores the data in the system real-time database.
In step 202, the coal quality indicator is detected on line in real time.
In some embodiments, the coal quality indicators include coal ash, coal moisture, coal calorific value, coal volatile, and coal sulfur.
In some embodiments, the coal quality indicator is obtained by using an online coal quality detection device. For example, the coal quality online detection equipment comprises a coal ash analyzer, a coal moisture analyzer and a coal sulfur analyzer. The coal ash analyzer is configured to detect the calorific value and the ash content of the coal entering the furnace on line; the coal moisture meter is configured to detect moisture of coal entering the furnace on line; the coal sulfur analyzer is configured to detect volatile components and sulfur components of coal entering the furnace on line.
In some embodiments, the coal ash content meter and the coal moisture content meter are arranged at the coal conveying main belt of the power plant side by side in front of and behind the power plant, and the calorific value, moisture content and ash content of the coal quality entering the furnace are detected on line. For example, the device can be installed on a main belt before the first coal plough in the power plant, the coal ash content meter and the coal moisture content meter are both below 1 meter along the length of the belt, and the two meters are installed in front of and behind each other. The coal sulfur analyzer is arranged at a belt of a sampling machine of a power plant and is used for detecting volatile components and sulfur components of coal entering a furnace on line. For example, the device can be arranged on small belts of the two-stage division of the A and B sampling machines.
In some embodiments, the coal ash meter, the coal moisture meter, and the coal sulfur meter sample at a predetermined sampling frequency (e.g., 1 second/time). The data acquisition module extracts an average value of sampling data of the coal ash meter and the coal moisture meter over a predetermined period of time (for example, 1 minute) as detection data. The data acquisition module acquires sampling data of the coal sulfur analyzer according to a preset frequency (for example, 3 minutes/time).
In some embodiments, whether the coal quality being fired in the furnace is changed is determined according to any one of the coal quality indicators.
By selecting a characteristic component from ash content, moisture content, calorific value, volatile matter and sulfur content, a plurality of sections are divided in the range of the characteristic component, and the coal is divided into a plurality of coal qualities according to different sections. For example, the calorific value of the power plant is selected as a characteristic component, the calorific value range of the power plant is 30000-.
In step 203, according to the operation data and the real-time online detection result, the layered state of multiple coal types of the raw coal bunker, the current coal quality condition of the furnace and the change reminding information of the combustion coal type are obtained.
In some embodiments, the initial time of the coal quality change is recorded as t according to the operation data and the real-time online detection result1Obtaining t1Coal level height H at the moment1Obtaining the height H of the coal level according to a preset H-M curve of the relationship between the height of the coal level and the coal amount1Corresponding coal amount M1. Periodically feeding coal M in each preset time interval in the coal feeding time periodfAnd performing one-time integration to obtain the lower coal amount in the corresponding time interval. For example, using the amount of coalM1Minus from t1T from the moment to the end of each predetermined time interval2The coal amount is discharged at the moment to obtain the corresponding coal amount M2. For example, the corresponding formula is:
then, obtaining the coal quantity M according to a preset coal quantity-coal level height relation M-H curve2Corresponding coal level height H2So as to adjust the height H of the coal level2As an interface between two coal qualities.
In some embodiments, at a coal level height H2And generating combustion coal type change reminding information when the combustion coal type is smaller than the preset value.
In some embodiments, the H-M and M-H curves described above are obtained as follows:
(1) because the structure of the raw coal bunker is an upper cylindrical section and a lower conical section, the height H of the boundary coal position of the cylindrical section and the conical section needs to be found through the structure diagram of the raw coal bunkerfen。
(2) And finding a section of data with the coal level height of the raw coal bunker continuously and greatly changed in historical data. The maximum value of this variation region (denoted as H)max) Is greater than HfenMinimum value (denoted as H)min) Is less than HfenNamely, the change section comprises the height change of the coal level from the conical section to the cylindrical section.
(3) With HminThe time is the calculation starting point, and the height of the coal level at the moment is recorded as MminIntegrating the coal feeding amount in the selected data segment to obtain the coal amount and MminThe variation △ M, then the coal level is inquired by the time point to obtain the height and H of the coal levelminThe variation △ H is obtained until the maximum coal level time, and a series of discrete coal level height variation and coal amount variation, namely, a data table of △ H- △ M, can be obtained.
(4) For the discrete data of △ H- △ M, a curve of coal level height variation-coal amount variation △ H- △ M of the coal bunker in the time period can be calculated by adopting an interpolation mode.
(5) The coal feeding rate of the raw coal bin is respectively constant in the cylindrical section and the conical section, so that the △ H- △ M curve is a piecewise function in theory, the curve slopes of the cylindrical section and the conical section are respectively constant, the curve slopes of the two piecewise functions are respectively calculated, the curve extends to the full bin height and the empty bin height of the raw coal bin in the cylindrical section and the conical section respectively with the constant slopes, and a coal level height-coal amount curve, namely an H-M curve, of the whole height of the raw coal bin from the full bin to the empty bin can be obtained.
(6) And (4) transposing the H-M curve to obtain a coal quantity-coal level height relation curve, namely an M-H curve.
In step 204, the layered state of multiple coal types of the raw coal bunker, the current coal quality condition of the furnace and the change reminding information of the combustion coal type are displayed.
In some embodiments, the following display may be provided by operating the display module:
(1) displaying a DCS configuration page: a man-machine interaction interface which is set up by a DCS configuration function and is provided for power plant operators can display interface information of various coal quality components and various coal types related to a system in real time and can also provide information for reminding of coal type change in combustion.
(2) And (3) historical trend analysis: the method has the advantages that historical data query is carried out on coal quality components and interface changes of multiple coal types in a curve mode, multiple curves can be compared on the same graph to carry out historical trend analysis and comparison, and historical information of combustion coal type change reminding can be checked.
(3) And (3) displaying a real-time curve: and checking the real-time values and the variation trends of the coal quality components and the interface variation of the multiple coal types in a real-time curve mode.
The scheme for monitoring the coal quality in the furnace in real time on line can solve the problem of black boxes in the prior art and improve the informatization capability and the operation optimization level of the coal quality of the unit. By implementing the scheme provided by the disclosure, the layering condition of the coal bunker under various coal types is dynamically monitored by detecting ash content, calorific value, moisture, sulfur and volatile matters on line, so that operators can master the coal quality change in the furnace in real time and guide blending combustion and combustion adjustment of blended coal. And furthermore, the influence of unstable or diversified fuel resource quality on the safety of the boiler operation and pulverizing system in the thermal power plant is improved. The technology is comprehensively popularized in a coal-fired power plant, the automation operation and the visualization level of a unit can be improved, the energy is further saved, the consumption is reduced, and a new technical field is developed for the unit.
In some embodiments, the functional modules may be implemented as a general purpose Processor, a Programmable Logic Controller (PLC), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), or other Programmable Logic device, discrete Gate or transistor Logic device, discrete hardware components, or any suitable combination thereof for performing the functions described in this disclosure.
So far, embodiments of the present disclosure have been described in detail. Some details that are well known in the art have not been described in order to avoid obscuring the concepts of the present disclosure. It will be fully apparent to those skilled in the art from the foregoing description how to practice the presently disclosed embodiments.
Although some specific embodiments of the present disclosure have been described in detail by way of example, it should be understood by those skilled in the art that the foregoing examples are for purposes of illustration only and are not intended to limit the scope of the present disclosure. It will be understood by those skilled in the art that various changes may be made in the above embodiments or equivalents may be substituted for elements thereof without departing from the scope and spirit of the present disclosure. The scope of the present disclosure is defined by the appended claims.
Claims (18)
1. A real-time on-line monitoring system for coal quality entering a furnace comprises:
the data acquisition module is configured to acquire the operation data of the boiler and the pulverizing system;
the coal quality component detection module is configured to perform real-time online detection on the coal quality index;
the communication module is configured to send the data acquired by the data acquisition module and the real-time online detection result of the coal quality component detection module to the monitoring module;
the monitoring module is configured to obtain the layering state of multiple coal types of the raw coal bunker, the current coal quality condition of entering the furnace and the change reminding information of the combustion coal type according to the operation data and the real-time online detection result;
and the operation display module is configured to display the layered states of the multiple coal types of the raw coal bunker, the current coal quality condition of the raw coal bunker and the change reminding information of the combustion coal type.
2. The system of claim 1, wherein,
the coal quality indexes comprise coal ash, coal moisture, coal calorific value, coal volatile matter and coal sulfur.
3. The system of claim 2, wherein,
the coal quality component detection module is configured to obtain the coal quality index by utilizing coal quality online detection equipment;
the coal quality on-line detection equipment comprises:
the coal ash analyzer is configured to detect the calorific value and the ash content of the coal entering the furnace on line;
the coal moisture meter is configured to detect moisture of coal entering the furnace on line;
and the coal sulfur analyzer is configured to detect the volatile components and the sulfur components of the coal entering the furnace on line.
4. The system of claim 3, wherein,
the coal ash content meter and the coal moisture content meter are arranged at the position of a coal conveying main belt of the power plant in front and back side by side;
the coal sulfur analyzer is arranged at the belt of the sampling machine of the power plant.
5. The system of claim 4, wherein,
sampling by a coal ash content instrument, a coal moisture instrument and a coal sulfur content instrument at a preset sampling frequency;
the data acquisition module extracts the average value of the sampling data of the coal ash content meter and the coal moisture content meter in a preset time period as detection data;
and the data acquisition module acquires sampling data of the coal sulfur analyzer according to the preset frequency.
6. The system of claim 3, wherein,
the coal quality component detection module is further configured to judge whether the coal quality in the furnace combustion is changed according to any one of the coal quality indexes.
7. The system of any one of claims 1-6,
the monitoring module is configured to record the initial moment of coal quality change as t according to the operation data and the real-time online detection result1Obtaining t1Coal level height H at the moment1Obtaining the height H of the coal level according to a preset H-M curve of the relationship between the height of the coal level and the coal amount1Corresponding coal amount M1(ii) a In the coal supply time period, periodically integrating the coal supply amount in each preset time interval for one time to obtain the coal discharge amount in the corresponding time interval; using the coal amount M1Subtracting the amount of coal to obtain a corresponding amount of coal M2Obtaining the coal quantity M according to a preset coal quantity-coal level height relation M-H curve2Corresponding coal level height H2So as to adjust the height H of the coal level2As an interface between two coal qualities.
8. The system of claim 7, wherein,
the monitoring module is configured to be at a coal level height H2And generating combustion coal type change reminding information when the combustion coal type is smaller than the preset value.
9. The system of claim 7, further comprising:
the monitoring module is configured to find the boundary coal level height H of the cylindrical section and the conical section according to the structure of the raw coal bunkerfenWherein the structure of the raw coal bunkerThe upper part is a cylindrical section, and the lower part is a conical section; finding a transformation section of the height of the coal level of the raw coal bunker according to the historical data, wherein in the transformation section, the maximum value HmaxGreater than HfenMinimum value HminIs less than Hfen(ii) a With HminThe time is the calculation starting point, and the height of the coal level at the corresponding moment is recorded as MminIntegrating the coal feeding amount in the conversion section to obtain the coal amount and MminThe variation △ M, then the coal level is inquired by the time point to obtain the height and H of the coal levelminThe variation △ H is obtained until the coal level reaches the maximum value, a data table of △ H- △ M of discrete coal level height variation and coal amount variation is obtained, a △ H- △ M curve of coal level height variation and coal amount variation of a coal bunker in a conversion section is calculated by adopting an interpolation mode for the △ H- △ M discrete data, △ H- △ M curves are extended to the full bunker height and the empty bunker height of the raw coal bunker respectively in a cylindrical section and a conical section by a preset slope to obtain a coal level height-coal amount curve of the whole height of the raw coal bunker from the full bunker to the empty bunker, namely an H-M curve, and the H-M curve is transposed to obtain a coal amount-coal level height relation curve, namely an M-H curve.
10. A method for monitoring the quality of coal entering a furnace in real time on line comprises the following steps:
collecting operation data of a boiler and a pulverizing system;
performing real-time online detection on the coal quality index;
obtaining the layered state of multiple coal types of a raw coal bunker, the current coal quality condition of entering a furnace and the change reminding information of the combustion coal type according to the operation data and the real-time online detection result;
and displaying the layered state of multiple coal types of the raw coal bunker, the current coal quality condition of the raw coal bunker and the reminding information of the change of the combustion coal type.
11. The method of claim 10, wherein,
the coal quality indexes comprise coal ash, coal moisture, coal calorific value, coal volatile matter and coal sulfur.
12. The method of claim 11, wherein,
the calorific value and the ash content of the coal entering the furnace are detected on line by using a coal ash content meter;
detecting the moisture of the coal entering the furnace on line by using a coal moisture meter;
and (4) utilizing a coal sulfur analyzer to detect the volatile components and the sulfur components of the coal quality entering the furnace on line.
13. The method of claim 12, wherein,
the coal ash content meter and the coal moisture content meter are arranged at the position of a coal conveying main belt of the power plant in front and back side by side;
the coal sulfur analyzer is arranged at the belt of the sampling machine of the power plant.
14. The method of claim 13, wherein,
sampling by a coal ash content instrument, a coal moisture instrument and a coal sulfur content instrument at a preset sampling frequency;
extracting the average value of the sampling data of the coal ash content meter and the coal moisture content meter in a preset time period as detection data;
and collecting sampling data of the coal sulfur analyzer according to a preset frequency.
15. The method of claim 12, wherein,
and judging whether the coal quality in the furnace is changed or not according to any one of the coal quality indexes.
16. The method of any one of claims 10-15,
according to the operation data and the real-time online detection result, recording the initial moment of coal quality change as t1Obtaining t1Coal level height H at the moment1Obtaining the height H of the coal level according to a preset H-M curve of the relationship between the height of the coal level and the coal amount1Corresponding coal amount M1；
In the coal supply time period, periodically integrating the coal supply amount in each preset time interval for one time to obtain the coal discharge amount in the corresponding time interval;
using the coal amount M1Subtracting the amount of coal to obtain a corresponding amount of coal M2Obtaining the coal quantity M according to a preset coal quantity-coal level height relation M-H curve2Corresponding coal level height H2So as to adjust the height H of the coal level2As an interface between two coal qualities.
17. The method of claim 16, wherein,
at the coal level height H2And generating combustion coal type change reminding information when the combustion coal type is smaller than the preset value.
18. The method of claim 16, further comprising:
according to the structure of the raw coal bunker, the height H of the boundary coal level of the cylindrical section and the conical section is foundfenWherein the raw coal bunker has a structure that the upper part is a cylindrical section and the lower part is a conical section;
finding a transformation section of the height of the coal level of the raw coal bunker according to the historical data, wherein in the transformation section, the maximum value HmaxGreater than HfenMinimum value HminIs less than Hfen；
With HminThe time is the calculation starting point, and the height of the coal level at the corresponding moment is recorded as MminIntegrating the coal feeding amount in the conversion section to obtain the coal amount and MminThe variation △ M, then the coal level is inquired by the time point to obtain the height and H of the coal levelminThe variation △ H until the coal level reaches the maximum value, so that a data table of △ H- △ M, which is discrete coal level height variation and coal amount variation, is obtained;
calculating a curve of coal level height variation-coal amount variation △ H- △ M of a coal bunker in the conversion section by adopting an interpolation mode on discrete data of △ H- △ M;
respectively extending △ H- △ M curves to the full height and the empty height of the raw coal bunker at a preset slope in the cylindrical section and the conical section to obtain a coal level height-coal amount curve, namely an H-M curve, of the raw coal bunker from the full height to the empty height;
and (4) transposing the H-M curve to obtain a coal quantity-coal level height relation curve, namely an M-H curve.
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