CN115598150A - Intelligent curve calibration method and device for measuring fly ash carbon content by microwave - Google Patents

Intelligent curve calibration method and device for measuring fly ash carbon content by microwave Download PDF

Info

Publication number
CN115598150A
CN115598150A CN202211275733.7A CN202211275733A CN115598150A CN 115598150 A CN115598150 A CN 115598150A CN 202211275733 A CN202211275733 A CN 202211275733A CN 115598150 A CN115598150 A CN 115598150A
Authority
CN
China
Prior art keywords
fly ash
carbon content
target parameter
curve
measurement
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202211275733.7A
Other languages
Chinese (zh)
Inventor
丁皓轩
宁新宇
陈小海
唐文
吴震坤
刘忠轩
李斌
赵昕熠
黄鉴
种西虎
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Clp Huachuang Suzhou Power Technology Research Co ltd
Nanjing Green Energy Electric Equipment Co ltd
Clp Huachuang Power Technology Research Co ltd
Original Assignee
Clp Huachuang Suzhou Power Technology Research Co ltd
Nanjing Green Energy Electric Equipment Co ltd
Clp Huachuang Power Technology Research Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Clp Huachuang Suzhou Power Technology Research Co ltd, Nanjing Green Energy Electric Equipment Co ltd, Clp Huachuang Power Technology Research Co ltd filed Critical Clp Huachuang Suzhou Power Technology Research Co ltd
Priority to CN202211275733.7A priority Critical patent/CN115598150A/en
Publication of CN115598150A publication Critical patent/CN115598150A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N22/00Investigating or analysing materials by the use of microwaves or radio waves, i.e. electromagnetic waves with a wavelength of one millimetre or more

Landscapes

  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Investigating Or Analyzing Non-Biological Materials By The Use Of Chemical Means (AREA)

Abstract

The invention relates to a curve intelligent calibration method and a curve intelligent calibration device for measuring fly ash carbon content by microwaves, wherein the method comprises the following steps: judging whether the coal variation exceeds a first threshold value, if so, calibrating a measurement curve, and measuring the carbon content of the fly ash based on the calibrated measurement curve; and if the coal variation does not exceed the first threshold, calibrating the target parameters, and measuring based on the calibrated measurement curve to obtain the carbon content of the fly ash. Compared with the prior art, the method has the advantages of strong adaptability of coal types, accurate measurement of carbon content in the fly ash and the like.

Description

Intelligent curve calibration method and device for measuring fly ash carbon content by microwave
Technical Field
The invention relates to fly ash carbon content curve calibration, in particular to a curve intelligent calibration method and device for measuring fly ash carbon content by microwave.
Background
The coal-fired power plant is a main consumer of coal resources, and under the background of 'carbon peak reaching and carbon neutralization' at present, how to improve the coal utilization efficiency of a thermal power generating unit becomes a core problem of energy saving and carbon reduction. In the combustion process of a coal-fired power plant boiler, incomplete combustion heat loss is only one of the main energy losses of the boiler. The carbon content in the fly ash occupies most of the carbon content in the incomplete combustion, and the heat loss of the incomplete combustion is directly influenced. Especially, the current coal-fired power plants are limited by the problems of coal cost and transportation, most power plants adopt a mode of blending and burning coal, the quality of the actual burning coal is usually greatly deviated from a design value, the burning condition is poor, and incomplete burning sites are common. Therefore, the real-time detection of the carbon content of the fly ash is beneficial to guiding operators to adjust the operation parameters of the boiler timely and correctly, improving the combustion level of the boiler, reasonably controlling the index of the carbon content of the fly ash, improving the utilization rate of coal, reducing the power generation cost and improving the economical efficiency of unit operation.
At present, the measurement method of the fly ash carbon content of the coal-fired boiler mainly comprises an off-line method and an on-line method, wherein the off-line method is to measure the carbon content of a sample by adopting a burning method after proper sampling, but the data has serious hysteresis, cannot provide timely operation guidance for operators, and has little application significance. The other method is to obtain the value of the carbon content in the fly ash on line through a measuring instrument, such as a microwave method or a burning method, wherein most of products on the market currently have a burning method measuring result which can achieve higher measuring precision, but the measuring speed is limited by the burning method, and the data output is slower; although the microwave method is fast in measurement, some components in the fly ash, such as alkali metal oxides, can generate great interference on microwave parameters, so that a final instrument cannot output an accurate measurement result. On one hand, under the background of the existing coal blending normalization, the coal quality fluctuation is large, so that the measured fly ash component is very easy to change greatly, the originally preset measuring method is not suitable for the changed coal types, and the adaptability of the coal types is poor; on the other hand, when some components in the fly ash interfere with the microwave parameters, the parameters received by the receiver are not necessarily parameters corresponding to the actual influence of carbon in the fly ash, that is, there may be some deviation in the measurement. Both of these factors can lead to inaccurate final output results of carbon content in fly ash.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide the intelligent calibration method and the intelligent calibration device for the curve for measuring the carbon content of the fly ash by the microwave.
The purpose of the invention can be realized by the following technical scheme:
an intelligent calibration method for a curve for measuring the carbon content of fly ash by microwaves comprises the following steps:
judging whether the coal type variable quantity exceeds a first threshold value, if so, calibrating a measurement curve, wherein the measurement curve is a functional relation of the fly ash carbon content on a target parameter and characteristic coefficients, the characteristic coefficients are n, the target parameter is 1, and the specific process of calibrating the measurement curve is as follows:
correcting each characteristic coefficient of the measurement curve into an original characteristic coefficient and an undetermined characteristic coefficient offset;
acquiring the carbon content of standard fly ash for n times continuously and corresponding actual target parameters for n times continuously, wherein the carbon content of the standard fly ash is a measurement result of measuring the carbon content of the fly ash by a burning method, the actual target parameters are measurement results of the target parameters, the carbon content of the standard fly ash and the corresponding actual target parameters are substituted into the corrected measurement curve, and the determined characteristic coefficient offset is obtained by solving;
substituting the characteristic coefficient offset into the corrected measurement curve to obtain a first calibration measurement curve;
measuring the carbon content of the fly ash based on the first calibration measurement curve;
if the coal type variation does not exceed the first threshold, performing target parameter calibration, wherein the specific process of the target parameter calibration is as follows:
correcting the target parameters of the measurement curve into original target parameters and undetermined target parameter offset;
acquiring the standard fly ash carbon content and corresponding actual target parameters, substituting the standard fly ash carbon content and the corresponding actual target parameters into the corrected measurement curve, and solving to obtain the determined target parameter offset;
repeatedly obtaining a plurality of target parameter offsets, and calculating the average value of the plurality of target parameter offsets as a result target parameter offset;
substituting the result target parameter offset into the corrected measurement curve to obtain a second calibration measurement curve;
and measuring the carbon content of the fly ash based on the second calibration measurement curve.
Further, the measurement curve is a linear function.
Further, in the process of calibrating the measurement curve, for the measurement curve of the linear function, each characteristic coefficient of the measurement curve is corrected into a specific expression of an original characteristic coefficient and an undetermined characteristic coefficient offset, wherein the specific expression is as follows:
f 3 (x)=(k+Δk)x+b+Δb
wherein, f 3 (x) For the corrected measurement curve, k is a first original characteristic coefficient, b is a second original characteristic coefficient, Δ k is a first characteristic coefficient offset, Δ b is a second characteristic coefficient offset, and x is a target parameter.
Further, in the process of calibrating the measurement curve, for the measurement curve of the linear function, solving to obtain the determined characteristic coefficient offset specifically is:
Figure BDA0003896515860000031
Figure BDA0003896515860000032
wherein y1 and y2 are the carbon content of the first standard fly ash and the carbon content of the second standard fly ash which are continuously carried out for 2 times, and x1 and x2 are the first actual target parameter and the second actual target parameter which are continuously carried out for 2 times and correspond to the carbon content of the standard fly ash.
Further, in the process of calibrating the target parameters, substituting the standard fly ash carbon content and the corresponding actual target parameters into the corrected measurement curve specifically comprises:
y3=k(x3+Δx3)+b
wherein y3 is the carbon content of the third standard fly ash, x3 is a third actual target parameter corresponding to the carbon content of the third standard fly ash, and Δ x3 is the offset of the target parameter.
Further, if the coal variation exceeds a first threshold value in the target parameter calibration process, the measurement curve is calibrated.
Further, the function relation of the fly ash carbon content with respect to the target parameter and the characteristic coefficient is a sine function.
Further, the target parameter is a microwave resonance frequency.
Further, the target parameter is microwave amplitude.
The curve intelligent calibration device for measuring the carbon content of fly ash by microwave comprises a memory and a processor, wherein a computer program is stored in the memory, and the processor realizes the method when executing the program.
Compared with the prior art, the invention has the following beneficial effects:
(1) When the coal variation exceeds the threshold, the measurement curve is calibrated to adapt to the condition of large coal quality fluctuation, when the coal variation does not exceed the threshold, the target parameter is calibrated, the deviated measurement curve is corrected to adapt to finer coal quality fluctuation, different calibration methods are executed for the fluctuation of different conditions, the measurement curve can be corrected efficiently, and the accurate result of the fly ash carbon content is ensured.
(2) The method can be suitable for various input and output one-to-one function measurement curves and target parameters including microwave resonance frequency and microwave amplitude, and has a wide application range.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a flow chart of the measurement curve calibration of the present invention;
FIG. 3 is a flowchart illustrating the calibration of target parameters according to the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. The present embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation manner and a specific operation process are given, but the scope of the present invention is not limited to the following embodiments.
Example 1:
the measurement principle of the microwave method is that a curve corresponding to the carbon content of the fly ash and certain microwave characteristic parameters is built in a system in advance, the measurement result of the carbon content of the fly ash can be quickly obtained by taking the ash and measuring the value of the characteristic parameters, and in order to simplify the description process of the method, the microwave resonance frequency is taken as a target parameter in the embodiment, and a series of target parameters applied to the measurement of the carbon content of the fly ash, such as the amplitude, the frequency and the like of microwaves, can be corrected by the method. The microwave resonance frequency is taken as a target parameter, and carbon in the fly ash has a certain attenuation effect on the microwave frequency, so that a database can be stored in advance to be used as a measurement curve of a microwave method. The measuring curve is a functional relation of the fly ash carbon content with respect to the target parameters and the characteristic coefficients. For the sake of simplicity, the linear function is taken as an example here, the data curve stored in advance can be in various forms, and power functions, exponential functions, logarithmic functions, polynomial functions, even trigonometric functions, and the like can be calculated by this method. Taking the first order function as an example, assuming that there is a calculated relationship of y = kx + b between the carbon in the fly ash and the resonant frequency of the microwaves received by the microwave receiver, the function f (x) of the carbon content of the fly ash output by the system can be expressed as:
f(x)=kx+b
this embodiment provides an intelligent calibration method for a curve for microwave measurement of fly ash carbon content, in which the method first needs to determine which type of calibration is to be performed by a system, mainly by determining the change of coal type, if the coal type variation exceeds a first threshold, it indicates that the current measurement curve cannot meet the current coal type, and the calibration of the measurement curve is needed, and if the coal type variation does not exceed the first threshold, it indicates that the current measurement curve substantially adapts to the coal type, but the receiving accuracy of the measurement parameter cannot be guaranteed, and the calibration of the target parameter needs to be performed, and a flow chart of the method is shown in fig. 1.
1. Calibration of measurement curves
The flow chart of the calibration of the measurement curve is shown in fig. 2.
When the coal type variable quantity exceeds a first threshold value, calibrating a measurement curve, wherein the specific process of calibrating the measurement curve is as follows:
1.1 correcting each characteristic coefficient of the measurement curve into an original characteristic coefficient and an undetermined characteristic coefficient offset.
When the coal variation exceeds the first threshold, the quality of the fire coal changes, and the ash content of the fly ash produced by the fire coal also changes, for example, the oxide of a certain metal in the fly ash suddenly increases or decreases, or the non-metal oxide of a certain component increases or decreases, which affects the resonant frequency of the microwave. That is, taking the example that the measured value of the microwave resonance frequency becomes smaller under the condition of the same carbon content in the fly ash due to the sudden change of the fly ash component, and the measured value of the microwave resonance frequency becomes smaller due to the fact that some components in the fly ash additionally interfere with the influence of carbon on the microwave resonance frequency, the measurement curve f (x) is corrected, and each characteristic coefficient of the measurement curve is corrected into the original characteristic coefficient and the undetermined characteristic coefficient offset. Taking the measurement curve as a linear function as an example:
and (3) correcting the slope k: if there is some interaction between the absorption of the carbon content to the microwave resonance frequency and the absorption of the substance to the microwave resonance frequency, then the k value in the formula needs to be corrected, and the functional expression becomes:
f 1 (x)=(k+Δk)x+b
and (3) correcting the parameter b: if the process is unrelated to carbon element and the microwave absorption resonant frequencies of the two microwave absorption resonant frequencies are completely independent, then b in the formula needs to be corrected, and the functional expression is:
f 2 (x)=kx+b+Δb
if both of the above two situations occur, the function expression is:
f 3 (x)=(k+Δk)x+b+Δb
1.2 the characteristic coefficients are 2, so that the carbon content of the standard fly ash for 2 continuous times and corresponding actual target parameters for 2 continuous times are obtained, the carbon content of the standard fly ash is the measurement result of measuring the carbon content of the fly ash by a burning method, the actual target parameters are the measurement results of the target parameters, the carbon content of the standard fly ash and the corresponding actual target parameters are substituted into the corrected measurement curve, and the determined characteristic coefficient offset is obtained by solving.
And (3) continuously measuring for two times, assuming that the microwave resonance frequency of the target parameter received by the instrument is x1 and x2, and calculating according to the original formula, wherein the carbon content of the fly ash output by the instrument is f (x 1) and f (x 2) respectively. However, since the coal quality changes at this time, the actual carbon content in the fly ash is y1 and y2, and measurement errors of f (x 1) -y1 and f (x 2) -y2 occur, respectively. At this time, it is necessary to establish a formula to solve the characteristic coefficient offsets Δ k and Δ b in the formula:
y1=(k+Δk)x1+b+Δb
y2=(k+Δk)x2+b+Δb
the characteristic coefficient offsets Δ k and Δ b can be calculated as:
Figure BDA0003896515860000061
Figure BDA0003896515860000062
and 1.3, substituting the characteristic coefficient offsets delta k and delta b into the corrected measurement curve to obtain a first calibration measurement curve.
f (1) (x)=(k+Δk)x+b
And 1.4, measuring the carbon content of the fly ash based on the first calibration measurement curve.
In this embodiment, the offset of the characteristic coefficient to be solved is 2, which is Δ k and Δ b, so that the accurate values y1 and y2 of the carbon content of the standard fly ash and the corresponding target parameters x1 and x2 of 2 consecutive times need to be provided twice in succession. If the linear function in this embodiment is not used as the calculation function of the microwave method, the number of parameters to be solved needs to be set according to a specific setting condition, and if the number of solving parameters is n, the accurate value of the carbon content of the fly ash needs to be provided n times, so that the correction result of the parameters can be obtained. The standard fly ash carbon content y1 and y2 are derived from the measurement result of measuring the fly ash carbon content by the burning method, the invention is used for describing the correction process of microwave method measurement, and the correction mode of the data by the burning method is not the description content of the invention, so the data y1 and y2 by the burning method can be considered to represent the true value without being described in the invention.
In actual operation, the standard fly ash carbon contents y1 and y2 are measured by a carbon content measuring instrument for measuring fly ash by a burning method, and the process has a certain time difference, generally more than 20 minutes. However, this correction process is continuous, that is, when the microwave method receives a measurement result of the burning method from any time, it automatically records it as y2, records the previous calculation result as y1, and calculates the required parameters rapidly by software. And (4) until the data of the burning method is received next time by the microwave method, the system outputs the data of the carbon content of the fly ash according to the current correction result. After the burning method data is received next time, the process is repeated to ensure that the measuring curve is in the latest state all the time.
2. Target parameter calibration
The flow chart of the target parameter calibration is shown in fig. 3.
When the coal type variation does not exceed the first threshold, performing target parameter calibration, wherein the specific process of the target parameter calibration is as follows:
2.1 correcting the target parameters of the measurement curve into original target parameters and undetermined target parameter offsets.
When the variation of the coal type does not exceed the first threshold, there is a case that the coal type used for the boiler at this stage is not necessarily the preset coal type of the measurement curve for measuring the carbon content in the fly ash by the microwave method. That is, the whole coal type deviates from the preset coal type, which causes interference of some components in the fly ash to the microwave measurement parameters, and causes deviation of the parameter receiving and measuring. Still taking the microwave resonance frequency as the target parameter as an example, the microwave resonance frequency actually measured by the instrument is x, but actually, the frequency at which the carbon in the fly ash actually causes the microwave resonance frequency to decay is x + Δ x, and here, there is a measurement deviation of the microwave resonance frequency, that is, the target parameter offset Δ x.
Still taking the measurement curve as a linear function as an example, assuming that the microwave resonance frequency measured by the microwave-based measurement instrument is x3, the carbon content of the fly ash output by the instrument is f (x 3), but at this time, the true microwave resonance frequency in the measurement instrument should be x3+ Δ x3. Correcting the value of x3 in the formula, the functional expression becomes:
f 4 (x)=k(x3+Δx3)+b
and 2.2, acquiring the carbon content of the standard fly ash and the corresponding actual target parameter, substituting the carbon content of the standard fly ash and the corresponding actual target parameter into the corrected measurement curve, and solving to obtain the determined target parameter offset.
The actual standard fly ash carbon content value should be y3 based on data transmitted by the burning method. The microwave resonant frequency corresponding to y3 should be x3+ Δ x3, and when y3 is substituted, the calculation formula should be expressed as:
y3=k(x3+Δx3)+b
the target parameter offset Δ x3 is then:
Figure BDA0003896515860000071
and 2.3, repeatedly obtaining a plurality of target parameter offsets, and calculating the average value of the target parameter offsets as the result target parameter offset.
In order to ensure the accuracy of the offset calculation, the calculation results of the burning method can be taken for multiple times, and the average value of the multiple times of calculation can be taken as correction. For example, if the calculation results of the double burning method are corrected, the above formula can be expressed as:
y3=k(x3+Δx3)+b
y4=k(x4+Δx4)+b
Figure BDA0003896515860000072
Figure BDA0003896515860000073
the original calculated curve f (x) can be corrected to:
Figure BDA0003896515860000074
and 2.4, substituting the result target parameter offset into the corrected measurement curve to obtain a second calibration measurement curve.
Figure BDA0003896515860000075
And 2.5, measuring the carbon content of the fly ash based on the second calibration measurement curve.
In actual operation, the standard fly ash carbon contents y3 and y4 are measured by a carbon content measuring instrument for measuring fly ash by a burning method, and the process has a certain time difference, generally more than 20 minutes. If the coal type does not fluctuate greatly, the correction process can be continuously executed when the coal type variation does not exceed the first threshold. The measurements of the previous n burns may be taken, the correction values for the offset are then calculated, and the average is finally taken. However, if the previous coal type is changed and the coal type variation exceeds the first threshold, the data of the previous burning method cannot represent the offset correction caused by burning the coal type at this moment any more, that is, the offset correction is recalculated from 1 measurement result, and the measurement curve calibration process is started, and the previous measurement result cannot participate in the calculation of the average value of the offset correction value.
Example 2:
in this embodiment, taking a sine function as an example and taking the microwave resonant frequency as a target parameter, assuming that there is a calculated relationship of the sine function between the carbon in the fly ash and the microwave resonant frequency received by the microwave receiver, the function f (x) of the carbon content of the fly ash output by the system can be expressed as:
Figure BDA0003896515860000081
1. calibration of measurement curves
And when the coal type variable quantity exceeds a first threshold value, the quality of the fire coal is changed, and the measurement curve is calibrated.
1.1, correcting each characteristic coefficient of the measuring curve into an original characteristic coefficient and an undetermined characteristic coefficient offset.
As in the first-order function correction, if a, ω, and ψ in the function change to some extent, the function expression after correction is:
Figure BDA0003896515860000082
1.2 the characteristic coefficients are 3, so that the carbon content of the standard fly ash for 3 times and corresponding actual target parameters for 3 times are obtained, the carbon content of the standard fly ash is the measurement result of measuring the carbon content of the fly ash by a burning method, the actual target parameters are the measurement results of the target parameters, the carbon content of the standard fly ash and the corresponding actual target parameters are substituted into the corrected measurement curve, and the determined characteristic coefficient offset is obtained by solving.
And (3) measuring for three times continuously, and if the microwave resonant frequency received by the instrument is x1, x2 and x3, calculating according to the original formula, wherein the carbon content of the fly ash output by the instrument is f (x 1), f (x 2) and f (x 3) respectively. However, since the coal quality changes at this time, the actual carbon content in the fly ash is y1, y2, and y3, and measurement errors of f (x 1) -y1, f (x 2) -y2, and f (x 3) -y3 occur, respectively. At this time, the formula is required to be established to solve the sum of Δ A, Δ ω and Δ ω in the formula
Figure BDA0003896515860000083
Figure BDA0003896515860000084
Figure BDA0003896515860000085
Figure BDA0003896515860000086
Three equations establish an equation set, and the sum of delta A, delta omega is solved
Figure BDA0003896515860000087
Solving the three unknowns by adopting a proper method to obtain the determined delta A, delta omega and
Figure BDA0003896515860000091
and 1.3, substituting the characteristic coefficient offsets delta k and delta b into the corrected measurement curve to obtain a first calibration measurement curve.
Figure BDA0003896515860000092
And 1.4, measuring the carbon content of the fly ash based on the first calibration measurement curve.
In actual operation, the standard fly ash carbon contents y1, y2 and y3 are measured by a carbon content measuring instrument for measuring fly ash by a burning method, and the process has a certain time difference, which is usually more than 20 minutes. However, this correction process is continuous, that is, when the microwave method receives a measurement result of the burning method from any time, it automatically records it as y3, records the previous calculation result as y2, records the next previous calculation result as y1, and calculates the required parameters rapidly by software. And (4) until the data of the burning method is received next time by the microwave method, the system outputs the data of the carbon content of the fly ash according to the current correction result. After the burning method data is received next time, the process is repeated to ensure that the measuring curve is in the latest state all the time.
2. Target parameter calibration
When the coal type variation does not exceed the first threshold, performing target parameter calibration, wherein the specific process of the target parameter calibration is as follows:
2.1 correcting the target parameters of the measurement curve into original target parameters and undetermined target parameter offsets.
Taking the sine function as an example, the microwave resonance frequencies measured by the microwave method measuring instrument are x4 respectively, and the fly ash carbon content output by the instrument is f (x 4) respectively, but at this time, the real microwave resonance frequency in the measuring instrument should be x4+ Δ x4. There is a measured deviation of the microwave resonance frequency, i.e. the target parameter offset deltax.
Correcting the value of x4 in the formula, the functional expression becomes:
Figure BDA0003896515860000093
and 2.2, acquiring the carbon content of the standard fly ash and the corresponding actual target parameter, substituting the carbon content of the standard fly ash and the corresponding actual target parameter into the corrected measurement curve, and solving to obtain the determined target parameter offset.
The actual standard fly ash carbon content value should be y4 based on data transmitted by the burning method. The microwave resonant frequency corresponding to y4 should be x4+ Δ x4, and when y4 is substituted, the calculation formula should be expressed as:
Figure BDA0003896515860000094
the target parameter offset Δ x4 is then:
Figure BDA0003896515860000095
and 2.3, repeatedly obtaining a plurality of target parameter offsets, and calculating the average value of the target parameter offsets as the result target parameter offset.
In order to ensure the accuracy of the offset calculation, the calculation results of the burning method can be taken for multiple times, and the average value of the multiple times of calculation can be taken as correction. For example, when correction is performed by taking the calculation result of the double burning method, the value Δ x5 is calculated by the same method, and then the final correction amount is set to be
Figure BDA0003896515860000101
In actual operation, the standard fly ash carbon contents y4 and y5 are measured by a fly ash carbon content measuring instrument by a burning method, and the process has a certain time difference, generally more than 20 minutes. If the coal type does not fluctuate greatly at this time, the correction process may be continued. The measurements of the previous n burns may be taken, the correction values for the offset are then calculated, and the average is finally taken. However, if the coal type has changed before, the data of the previous burning method cannot represent the offset correction caused by burning the coal type at the moment, that is, the offset correction needs to be recalculated from a new measurement result, and the previous measurement result cannot participate in the calculation of the average value of the offset correction value.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions that can be obtained by a person skilled in the art through logical analysis, reasoning or limited experiments based on the prior art according to the concepts of the present invention should be within the scope of protection determined by the claims.

Claims (10)

1. An intelligent calibration method for a curve for measuring the carbon content of fly ash by microwaves is characterized by comprising the following steps:
judging whether the coal type variable quantity exceeds a first threshold value, if so, calibrating a measurement curve, wherein the measurement curve is a functional relation of the fly ash carbon content on a target parameter and a characteristic coefficient, the characteristic coefficient is n, the target parameter is 1, and the specific process of calibrating the measurement curve is as follows:
correcting each characteristic coefficient of the measurement curve into an original characteristic coefficient and an undetermined characteristic coefficient offset;
acquiring the carbon content of standard fly ash for n times continuously and corresponding actual target parameters for n times continuously, wherein the carbon content of the standard fly ash is a measurement result of measuring the carbon content of the fly ash by a burning method, the actual target parameters are measurement results of the target parameters, the carbon content of the standard fly ash and the corresponding actual target parameters are substituted into the corrected measurement curve, and the determined characteristic coefficient offset is obtained by solving;
substituting the characteristic coefficient offset into the corrected measurement curve to obtain a first calibration measurement curve;
measuring the carbon content of the fly ash based on the first calibration measurement curve;
if the coal type variation does not exceed the first threshold, performing target parameter calibration, wherein the specific process of the target parameter calibration is as follows:
correcting the target parameters of the measurement curve into original target parameters and undetermined target parameter offset;
acquiring the carbon content of the standard fly ash and corresponding actual target parameters, substituting the carbon content of the standard fly ash and the corresponding actual target parameters into the corrected measurement curve, and solving to obtain the determined target parameter offset;
repeatedly obtaining a plurality of target parameter offsets, and calculating the average value of the plurality of target parameter offsets as a result target parameter offset;
substituting the result target parameter offset into the corrected measurement curve to obtain a second calibration measurement curve;
and measuring the carbon content of the fly ash based on the second calibration measurement curve.
2. The method for intelligently calibrating the curve for measuring the carbon content in fly ash by microwaves according to claim 1, wherein the measurement curve is a linear function.
3. The method for intelligently calibrating curves for microwave measurement of carbon content in fly ash according to claim 2, wherein in the calibration process of the measurement curves, for the measurement curves of the linear function, the specific expressions for correcting each characteristic coefficient of the measurement curves into the original characteristic coefficient and the undetermined characteristic coefficient offset are as follows:
f 3 (x)=(k+Δk)x+b+Δb
wherein, f 3 (x) For the corrected measurement curve, k is a first original characteristic coefficient, b is a second original characteristic coefficient, Δ k is a first characteristic coefficient offset, Δ b is a second characteristic coefficient offset, and x is a target parameter.
4. The method for intelligently calibrating curves for microwave measurement of fly ash carbon content according to claim 3, wherein in the process of calibrating the measurement curves, for the measurement curves of the linear function, the specific characteristic coefficient offset obtained by solving is as follows:
Figure FDA0003896515850000021
Figure FDA0003896515850000022
wherein y1 and y2 are the carbon content of the first standard fly ash and the carbon content of the second standard fly ash which are continuously carried out for 2 times, and x1 and x2 are the first actual target parameter and the second actual target parameter which are continuously carried out for 2 times and correspond to the carbon content of the standard fly ash.
5. The intelligent calibration method for the curve for measuring the carbon content of the fly ash by the microwave according to claim 2, wherein in the process of calibrating the target parameters, the step of substituting the standard carbon content of the fly ash and the corresponding actual target parameters into the corrected measurement curve specifically comprises the following steps:
y3=k(x3+Δx3)+b
wherein y3 is the carbon content of the third standard fly ash, x3 is a third actual target parameter corresponding to the carbon content of the third standard fly ash, and Δ x3 is the offset of the target parameter.
6. The method according to claim 1, wherein if the variation of the coal type exceeds a first threshold value during calibration of the target parameter, calibration of the measurement curve is performed.
7. The method according to claim 1, wherein the functional relationship of the fly ash carbon content with respect to the target parameter and the characteristic coefficient is a sinusoidal function.
8. The method for intelligently calibrating the curve for measuring the carbon content in fly ash by microwaves according to claim 1, wherein the target parameter is the microwave resonance frequency.
9. The method for intelligently calibrating the curve for measuring the carbon content in fly ash by microwaves according to claim 1, wherein the target parameter is the amplitude of microwaves.
10. An intelligent calibration device for a curve for measuring fly ash carbon content by microwave, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the method according to any one of claims 1 to 9 when executing the program.
CN202211275733.7A 2022-10-18 2022-10-18 Intelligent curve calibration method and device for measuring fly ash carbon content by microwave Pending CN115598150A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211275733.7A CN115598150A (en) 2022-10-18 2022-10-18 Intelligent curve calibration method and device for measuring fly ash carbon content by microwave

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211275733.7A CN115598150A (en) 2022-10-18 2022-10-18 Intelligent curve calibration method and device for measuring fly ash carbon content by microwave

Publications (1)

Publication Number Publication Date
CN115598150A true CN115598150A (en) 2023-01-13

Family

ID=84848267

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211275733.7A Pending CN115598150A (en) 2022-10-18 2022-10-18 Intelligent curve calibration method and device for measuring fly ash carbon content by microwave

Country Status (1)

Country Link
CN (1) CN115598150A (en)

Similar Documents

Publication Publication Date Title
CN111600193B (en) Optical module debugging method and device, electronic equipment and storage medium
CN110571171B (en) Calibration method and calibration system of gas flow controller and gas inlet device
CN101769800A (en) High-precision temperature checking method and instrument based on ARM
WO2020140188A1 (en) Intelligent mixed fertilizer control method and control system
CN116318449B (en) Temperature calibration method and device
CN110907881A (en) Current calibration method and system for power distribution network overhead line monitoring device
CN115598150A (en) Intelligent curve calibration method and device for measuring fly ash carbon content by microwave
CN101509433A (en) Oxygen sensor deterioration emulator control deviation calibrating method based on lambda closed-loop control
CN103092815A (en) Calibration device and method for carrying out calibration on transfer function in monitoring device
CN104568060A (en) Pulsing radar level meter, adjusting method of local vibration power of pulsing radar level meter, and controller
CN201680927U (en) High-precision temperature checking instrument based on ARM
RU2668231C1 (en) System for controlling instability of the internal plasma disruption in the real time mode in tokamak type plants
CN108905035B (en) Method for determining internal threshold resistance value of ion flame signal detection device through simulated flame signal
CN115241727B (en) Laser control method, laser and laser system
CN116404923B (en) Control parameter adjusting device and method of excitation system and storage medium
CN117038427A (en) Method for adjusting beam stability of double plasma ion sources
CN114879114B (en) Standing wave detection correction method, system, electronic equipment and storage medium
CN113917384B (en) Output harmonic parameter estimation method for capacitive voltage transformer
CN114110551B (en) Method and device for detecting operation state of auxiliary machine of boiler, electronic equipment and storage medium
CN118914956A (en) Remote self-calibration method for electromagnetic current transformer
CN118826065A (en) Primary frequency modulation performance index optimization method and device
WO1995008081A1 (en) Method for controlling a combustion process
CN113985756A (en) Method, device and storage medium for controlling pulse energy of continuous laser
CN117784860A (en) Deaerator-oriented control method and device, terminal equipment and storage medium
Zhang et al. Research on the Method of Measuring Equipment Calibration Period Adjustment Based on Reaction Method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination