A real-time online monitoring system for combustion efficiency of coal-fired boilers

Abstract

The present application provides a kind of for real-time online monitoring system of coal-fired boiler combustion efficiency, comprising: online monitoring module, for real-time online monitoring the current combustion parameter of coal-fired boiler and carry out division, obtain permission adjustment parameter and not allowed adjustment parameter;Curve prediction module, for allowing adjustment parameter and not allowing adjustment parameter analysis combustion stable trend section of coal-fired boiler at current time based on;Curve division module, for segment division to combustion stable trend section, determine efficiency qualified section, efficiency unqualified section;Parameter determination module, for locking the initial time point of efficiency unqualified section and determining the combustion adjustment parameter corresponding to all efficiency unqualified sections after initial time point;Efficiency compensation module, for when reaching the first future time of combustion stable trend section, based on the combustion adjustment parameter corresponding to all efficiency unqualified sections and in time corresponding efficiency compensation processing is carried out to coal-fired boiler.Effectively improve combustion efficiency.

Description

Technical Field

[0001] This invention relates to the field of online monitoring technology, and in particular to a real-time online monitoring system for the combustion efficiency of coal-fired boilers. Background Technology

[0002] A coal-fired boiler is a boiler that uses coal as fuel. It is a thermal power device that uses coal to burn in a furnace to release heat and heat water or other organic heat carriers (such as thermal oil) to a certain temperature (or pressure). The heat from burning coal is converted into steam or hot water. However, due to incomplete combustion of coal, the amount of steam or hot water produced during the heat conversion process is reduced. Furthermore, not all the heat generated by the coal is effectively converted, and some is wasted, which leads to efficiency issues.

[0003] Therefore, this invention proposes a real-time online monitoring system for the combustion efficiency of coal-fired boilers. Summary of the Invention

[0004] This invention provides a real-time online monitoring system for the combustion efficiency of coal-fired boilers. By monitoring different combustion parameters in the coal-fired boiler online, it determines the stable combustion trend segment and, by classifying whether the efficiency is qualified or not, realizes efficiency compensation for the coal-fired boiler at future times, thereby ensuring efficient combustion of the coal-fired boiler.

[0005] This invention provides a real-time online monitoring system for the combustion efficiency of coal-fired boilers, comprising:

[0006] The online monitoring module is used to monitor the current combustion parameters of the coal-fired boiler in real time, and to divide the current combustion parameters into parameters that can be adjusted and parameters that cannot be adjusted.

[0007] The curve prediction module is used to analyze the combustion stability trend segment of the coal-fired boiler at the current moment based on the allowable adjustment parameter and the disallowable adjustment parameter.

[0008] The curve segmentation module is used to segment the combustion stability trend segment and determine the efficiency qualified segment and the efficiency unqualified segment.

[0009] The parameter determination module is used to lock the initial time point of the efficiency failure segment and the combustion adjustment parameters corresponding to all efficiency failure segments after the initial time point.

[0010] The efficiency compensation module is used to perform corresponding efficiency compensation processing on the coal-fired boiler in a timely manner based on the combustion adjustment parameters corresponding to all efficiency non-compliance segments when the first future moment of the combustion stability trend segment is reached.

[0011] Preferably, the online monitoring module includes:

[0012] The index acquisition unit is used to acquire the initial indexes of the coal-fired boiler.

[0013] The set acquisition unit is used to set the initial state for the corresponding initial indicators according to the current combustion demand of the coal-fired boiler, and at the same time, to acquire the indicator setting set for each initial indicator related to the current combustion demand from the historical indicator database.

[0014] The counting unit is used to count the first number related to the variable state of the indicator and the second number related to the immutable state of the indicator in the indicator setting set corresponding to the same initial indicator.

[0015] The state setting unit is used to set a dual state to the corresponding initial index when the ratio of the first number to the second number is within a preset range, and to use it as a secondary state.

[0016] When the ratio of the first number to the second number is not within the preset range, if the ratio of the first number to the second number is greater than the maximum value of the preset range, set the variable state of the corresponding initial indicator as a secondary state.

[0017] Otherwise, set the corresponding initial indicator to an immutable state and treat it as a secondary state;

[0018] The parameter determination unit is used to match the relevant monitoring method to the corresponding initial index based on the comparison result between the secondary state and the initial state, and to perform corresponding online monitoring of the coal-fired boiler according to the monitoring method to obtain the current combustion parameters.

[0019] Preferably, the parameter determination unit includes:

[0020] A sequence building block is used to construct an indicator sequence based on a first indicator that is consistent with the initial state and the second state, and a second indicator that is inconsistent with the initial state and the second state.

[0021] A function building block is used to construct a judgment function B1 based on the index sequence:

[0022] Among them, b i1 This represents the value of the i1th sequence in the index sequence. The value is 0 when the initial state and the secondary state are completely identical, 1 when the initial state and the secondary state are completely different, and 0.5 when the initial state and the secondary state are not completely identical. i1The index weight represents the initial index corresponding to the i1th sequence in the index sequence; n1 represents the total number of sequences in the index sequence, and each sequence value corresponds to an initial index; B1 represents the judgment function; N1(b i1 =1) represents all b i1 satisfy b i1 The number of sequences with a value of 1; ∝ i2 This indicates that b is satisfied. i1 The index weight of the initial index corresponding to the i2th sequence with =1;

[0023] Comparison blocks are used when Less than the first preset value N01 Less than the second preset value N02 and If the value is less than the third preset value N03, then the initial state set for each initial indicator will be used as the final state.

[0024] Otherwise, for as well as Perform difference standard transformation to obtain the final difference values ​​A1, A2, and A3;

[0025] The difference value determination block is used to obtain the maximum difference value based on max{A1,A2,A3}, filter the judgment type corresponding to the maximum difference value from the difference-type database, and obtain the modification method for the completely inconsistent state;

[0026] A state modification block is used to partially modify the relevant completely inconsistent states according to the modification method, and obtain the final state;

[0027] The parameter acquisition block is used to determine the monitoring method consistent with each initial indicator based on the indicator-state-monitoring mapping table, and to perform corresponding online monitoring of the coal-fired boiler according to the monitoring method to obtain the current combustion parameters.

[0028] Preferably, the online monitoring module further includes:

[0029] The label setting unit is used to determine the first parameter corresponding to each indicator, and to set whether the label can be adjusted or not, according to the final state of the corresponding indicator.

[0030] The division unit is used to divide the current combustion parameters into adjustable parameters and non-adjustable parameters based on the label setting results.

[0031] Preferably, the curve prediction module includes:

[0032] The first stabilization unit is used to monitor the first monitoring value of the same parameter that cannot be adjusted from the start of the coal-fired boiler to the present moment, and determine the corresponding first stability.

[0033] The second stabilization unit is used to monitor the second monitoring value of the same adjustable parameter from the start of operation of the coal-fired boiler to the present moment, determine the corresponding change time point, and then determine the second stability at the present moment.

[0034] The segment construction unit is used to determine the first stable point at the current moment based on the first stability of all parameters that are not allowed to be adjusted and the second stability of all parameters that are allowed to be adjusted based on the current moment. At the same time, based on the distribution of the variation period and the last variation time point of each allowed adjustable parameter, the left extension point and the right extension point are determined, and the combustion stability trend segment is constructed.

[0035] Preferably, the segment construction unit includes:

[0036] The distribution map building block is used to determine the distribution of the variation period and the last variation time point of each allowed adjustment parameter, and to build a variation distribution map based on the current moment.

[0037] The initial segment determination block is used to lock the third distribution point to the left and the third distribution point to the right at the current time according to the variation distribution map, so as to construct the initial combustion segment;

[0038] The left and right determination blocks are used to obtain the left stable point at each left time step based on the set of variables at each left time step between the third distribution point to the left and the current time step, and at the same time, determine the right stable point at each right time step.

[0039] The final segment determination block is used to construct the combustion stability trend segment based on the left stable point, the right stable point, and the first stable point.

[0040] Preferably, the curve division module includes:

[0041] The efficiency conversion unit is used to obtain the stable combustion efficiency at each moment in the combustion stability trend segment according to the stability-efficiency mapping table;

[0042] The efficiency comparison unit is used to compare the combustion efficiency at each moment with the preset efficiency to obtain the efficiency qualified segment and the efficiency unqualified segment.

[0043] Preferably, the efficiency compensation module includes:

[0044] The difference determination unit is used to determine the difference between the combustion parameters corresponding to each previous moment in the efficiency failure segment at the current moment;

[0045] Efficiency compensation processing is used to determine, based on all similarities and differences, the first parameter to be compensated for the current moment and the second compensation parameter for the first future moment based on the current moment, thereby realizing efficiency compensation processing for the coal-fired boiler.

[0046] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.

[0047] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0048] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0049] Figure 1 This invention provides a real-time online monitoring system for the combustion efficiency of a coal-fired boiler.

[0050] Figure 2 This is a structural diagram of the combustion stability trend segment in an embodiment of the present invention;

[0051] Figure 3 This is a variation distribution diagram in an embodiment of the present invention. Detailed Implementation

[0052] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0053] This invention provides a real-time online monitoring system for the combustion efficiency of coal-fired boilers, such as... Figure 1 As shown, it includes:

[0054] The online monitoring module is used to monitor the current combustion parameters of the coal-fired boiler in real time, and to divide the current combustion parameters into parameters that can be adjusted and parameters that cannot be adjusted.

[0055] The curve prediction module is used to analyze the combustion stability trend segment of the coal-fired boiler at the current moment based on the allowable adjustment parameter and the disallowable adjustment parameter.

[0056] The curve segmentation module is used to segment the combustion stability trend segment and determine the efficiency qualified segment and the efficiency unqualified segment.

[0057] The parameter determination module is used to lock the initial time point of the efficiency failure segment and the combustion adjustment parameters corresponding to all efficiency failure segments after the initial time point.

[0058] The efficiency compensation module is used to perform corresponding efficiency compensation processing on the coal-fired boiler in a timely manner based on the combustion adjustment parameters corresponding to all efficiency non-compliance segments when the first future moment of the combustion stability trend segment is reached.

[0059] In this embodiment, the ratio of the actual heat generated during coal combustion to the theoretically complete heat generated during combustion is the combustion efficiency. Based on this, it is necessary to monitor the current combustion volume of the coal-fired boiler in real time to obtain information such as the amount of coal burned per unit time, the heat released by the coal combustion per unit time, the volume difference between the theoretical oxygen demand and the actual oxygen consumption of coal combustion, the amount of coal added per unit time, and the air intake of the blower. In the process of classifying the current combustion parameters, it is mainly based on the pre-set requirements for the coal-fired boiler. For example, if the requirements are related to the degree of combustion, such as the requirement to achieve 80% combustion completeness, then it is necessary to control the blower of the coal-fired boiler to maintain a certain air intake and ensure sufficient oxygen in the coal-fired boiler to obtain the combustion efficiency. At this time, the air intake and sufficient oxygen can be regarded as parameters that cannot be adjusted, and the remaining parameters can be regarded as parameters that can be adjusted.

[0060] In this embodiment, the combustion stability trend segment is constructed by including the point corresponding to the current moment and the points corresponding to the moments on the left and right sides. This combustion stability trend segment includes the stability situation corresponding to the current moment, past moments, and future moments. Each moment corresponds to a stable point. The stable point is obtained based on a comprehensive analysis of the parameters that can be adjusted and those that cannot be adjusted at that moment. The specific analysis process is as follows:

[0061] The stable point refers to the corresponding stable value. Because this combustion stability trend segment is a two-dimensional graph, the horizontal axis represents time, and the vertical axis represents the stable values ​​at different times. The stable values ​​are obtained as follows:

[0062] Stable value = the sum of the stable value of each adjustable parameter multiplied by its corresponding weight + the sum of the stable value of each non-adjustable parameter multiplied by its corresponding weight. The stable value of the non-adjustable parameter is obtained from the demand-mapping table under the non-adjustable parameter for the coal-fired boiler. The demand-mapping table contains different coal-fired boilers and various non-adjustable parameters that match the set demand of the coal-fired boiler, as well as the stable value of the parameter.

[0063] The stable value of the adjustable parameter is obtained based on the change of the adjustable parameter at the corresponding time according to the parameter period. It is obtained based on a pre-set parameter-period-time point-value mapping table. This table contains different adjustable parameters, the repeated participation period of the parameter, and the stable values ​​of the parameter in different states at different time points in the corresponding period.

[0064] For example, cycle 1 corresponds to time points 1, 2, and 3. At time point 1, the amount of coal used is a1; at time point 2, the amount of coal used is a2; and at time point 3, the amount of coal used is a3. Therefore, the stable value corresponding to the amount of coal used at time point 1 when the amount of coal used is a1 is b1; the stable value corresponding to the amount of coal used at time point 2 when the amount of coal used is a2 is b2; and the stable value corresponding to the amount of coal used at time point 3 when the amount of coal used is a3 is b3. Different amounts of coal used represent different states.

[0065] In this embodiment, the stable trend segment is also obtained by connecting some stable values ​​with curves, and there is a mapping relationship between the stable value and the corresponding combustion efficiency: the stable value is c1--combustion efficiency f1, the stable value is c2--combustion efficiency f2, etc. This mapping relationship is set in advance, and the larger the stable value, the higher the corresponding combustion efficiency.

[0066] like Figure 2 As shown, this represents the constructed combustion stability trend segment, including the current moment, two moments to the left, and two moments to the right. At this point, the stable value at each moment is mapped to obtain the mapped efficiency, which is then compared with a preset efficiency to determine the efficiency acceptable segment and the efficiency unacceptable segment. t1 is the first moment to the left, t2 is the second moment to the left, t1 is the first moment to the right, and t2 is the second moment to the right.

[0067] In this embodiment, if time t2 in the stable trend segment is the initial time point of the efficiency non-compliance segment, the combustion adjustment parameters for all efficiency non-compliance segments after the initial time are determined. That is, what parameters need to be adjusted to make the efficiency qualified, for example, the non-compliance corresponding to time t2.

[0068] The stable values ​​at the two moments on the right are predicted. They are obtained by taking the allowable adjustment parameters at each moment on the right as a basis and then taking them from the relevant mapping table. Each allowable adjustment parameter has its own participation period.

[0069] In this embodiment, the first future moment refers to the first of the two moments on the right.

[0070] In this embodiment, the combustion adjustment parameter is used to adjust subsequent parameters to ensure that combustion efficiency can be improved. For example, the combustion adjustment parameter refers to ensuring sufficient coal replenishment to ensure efficient combustion and thus ensure combustion efficiency. Alternatively, after the furnace produces slag, it will block the discharge port, which will lead to a decrease in combustion efficiency. In this case, the slag can be used as an allowable adjustment parameter to clean the slag. For example, cleaning the slag at the current moment can ensure the efficiency compensation of the coal-fired boiler in the future.

[0071] The beneficial effects of the above technical solution are: by monitoring different combustion parameters in a coal-fired boiler online, the stable combustion trend segment can be determined, and by classifying whether the efficiency is qualified or not, efficiency compensation for the coal-fired boiler at future times can be achieved, thus ensuring the efficient combustion of the coal-fired boiler.

[0072] This invention provides a real-time online monitoring system for the combustion efficiency of a coal-fired boiler, the online monitoring module comprising:

[0073] The index acquisition unit is used to acquire the initial indexes of the coal-fired boiler.

[0074] The set acquisition unit is used to set the initial state for the corresponding initial indicators according to the current combustion demand of the coal-fired boiler, and at the same time, to acquire the indicator setting set for each initial indicator related to the current combustion demand from the historical indicator database.

[0075] The counting unit is used to count the first number related to the variable state of the indicator and the second number related to the immutable state of the indicator in the indicator setting set corresponding to the same initial indicator.

[0076] The state setting unit is used to set a dual state to the corresponding initial index when the ratio of the first number to the second number is within a preset range, and to use it as a secondary state.

[0077] When the ratio of the first number to the second number is not within the preset range, if the ratio of the first number to the second number is greater than the maximum value of the preset range, set the variable state of the corresponding initial indicator as a secondary state.

[0078] Otherwise, set the corresponding initial indicator to an immutable state and treat it as a secondary state;

[0079] The parameter determination unit is used to match the relevant monitoring method to the corresponding initial index based on the comparison result between the secondary state and the initial state, and to perform corresponding online monitoring of the coal-fired boiler according to the monitoring method to obtain the current combustion parameters.

[0080] In this embodiment, the initial indicators are related to the parameters corresponding to the coal-fired boiler. There are indicators related to the actual heat generated. At this time, it is necessary to determine the oxygen contact area, coal quantity, etc. of the coal-fired boiler.

[0081] In this embodiment, for example, initial index 1 corresponds to parameters 1 and 2, initial index 2 corresponds to parameters 3, 4 and 5, and initial index 3 corresponds to parameters 7 and 8. The initial index is set mainly to determine whether the parameters can be adjusted later.

[0082] In this embodiment, the current combustion demand refers to the requirement that the coal-fired boiler needs to meet a certain combustion probability, or that the amount of coal used is 1 ton, and the heat required to generate is y1. At this time, it is necessary to find a set of settings that are consistent with these demands. The historical index database contains combustion indices corresponding to different combustion demands.

[0083] In this embodiment, after obtaining the current combustion demand, the initial indicators for the current combustion demand will be automatically set to a state, that is, whether adjustment is allowed or not.

[0084] For example, there are initial indicators 1, 2, and 3:

[0085] Based on the results of the requirements settings: Initial indicator 1 - adjustable, Initial indicator 2 - adjustable, Initial indicator 3 - not adjustable;

[0086] Retrieve a set of indicator settings consistent with current combustion requirements from the historical indicator database:

[0087] Regarding the historical settings for initial indicator 1: Adjustment allowed, adjustment allowed, adjustment allowed, adjustment allowed;

[0088] Historical settings for initial indicator 2: Adjustment allowed, Adjustment not allowed, Adjustment allowed, Adjustment allowed;

[0089] Historical settings for initial indicator 3: Adjustment allowed, adjustment not allowed, adjustment not allowed, adjustment not allowed;

[0090] In this embodiment, the preset range is 0.8-1.2, and the dual state refers to setting both a variable state and an invariable state for the indicator.

[0091] In this embodiment, in order to determine the accuracy of the combustion efficiency of the subsequent mapping, and because under the same requirements, there may be systematic errors or the requirements may correspond to multiple feasible methods, it is necessary to first combine the current and historical indicators of the current coal-fired boiler according to the current requirements, so as to achieve effective setting of different indicators and ensure the accuracy of subsequent stable determination.

[0092] In this embodiment, the minimum value of the preset range is 0.8, and the maximum value of the preset range is 1.2.

[0093] In this embodiment, the comparison result refers to the consistency of the state corresponding to the same initial index.

[0094] In this embodiment, after determining that it is the final setting state of the indicator, the monitoring method is matched to the indicator according to the indicator type and setting state of the initial indicator.

[0095] In this embodiment, the monitoring method refers to what kind of equipment is needed to monitor the parameters corresponding to the initial indicators and at what time intervals the monitoring is performed. The results are obtained from the mapping table.

[0096] The beneficial effects of the above technical solution are: by determining the initial indicators and setting variable or immutable states for different indicators according to current and historical needs, a basis is provided for determining the final state of the same initial indicator, ensuring the accuracy of the final state corresponding to the initial indicator, providing a basis for subsequent stability reminders, and effectively ensuring the rationality of online monitoring.

[0097] This invention provides a real-time online monitoring system for the combustion efficiency of coal-fired boilers, wherein the parameter determination unit includes:

[0098] A sequence building block is used to construct an indicator sequence based on a first indicator that is consistent with the initial state and the second state, and a second indicator that is inconsistent with the initial state and the second state.

[0099] A function building block is used to construct a judgment function B1 based on the index sequence:

[0100] Among them, b i1 This represents the value of the i1th sequence in the index sequence. The value is 0 when the initial state and the secondary state are completely identical, 1 when the initial state and the secondary state are completely different, and 0.5 when the initial state and the secondary state are not completely identical. i1 The index weight represents the initial index corresponding to the i1th sequence in the index sequence; n1 represents the total number of sequences in the index sequence, and each sequence value corresponds to an initial index; B1 represents the judgment function; N1 (bi1 = 1) represents all b i1 satisfy b i1 The number of sequences with a value of 1; ∝ i2 This indicates that b is satisfied. i1 The index weight of the initial index corresponding to the i2th sequence with =1;

[0101] Comparison blocks are used when Less than the first preset value N01 Less than the second preset value N02 and If the value is less than the third preset value N03, then the initial state set for each initial indicator will be used as the final state.

[0102] Otherwise, for as well as Perform difference standard transformation to obtain the final difference values ​​A1, A2, and A3;

[0103] The difference value determination block is used to obtain the maximum difference value based on max{A1, A2, A3}, filter the judgment type corresponding to the maximum difference value from the difference-type database, and obtain the modification method for the completely inconsistent state.

[0104] A state modification block is used to partially modify the relevant completely inconsistent states according to the modification method, and obtain the final state;

[0105] The parameter acquisition block is used to determine the monitoring method consistent with each initial indicator based on the indicator-state-monitoring mapping table, and to perform corresponding online monitoring of the coal-fired boiler according to the monitoring method to obtain the current combustion parameters.

[0106] In this embodiment, the index sequence contains only three values: 1, 0, and 0.5.

[0107] In this embodiment, for example, the sequence is [1 1 0 0 0.5 0.5 1 0 0 1]. This sequence is obtained by arranging the corresponding sequence values ​​one by one according to the arrangement order of the initial index.

[0108] In this embodiment, "not completely consistent" means that the corresponding initial index has two states, so there will always be one identical state and one different state.

[0109] In this embodiment, after determining the current combustion demand, weights are pre-set for different initial indicators. Different demands correspond to different weights for the initial indicators.

[0110] In this embodiment, the different preset values ​​are all pre-set: N01 is 0.3, N02 is 0.3, and N03 is 0.1n1.

[0111] Difference standardization refers to standardizing the corresponding differences to ensure the reasonableness of subsequent comparisons, and each case has its corresponding difference-standard mapping table:

[0112] for example, The value is 0.1, and based on the difference-mapping table in this case, A1 is 1;

[0113] The value is 0.06, and based on the difference-mapping table in this case, A2 is 1.2;

[0114] The value of A is 2. Based on the difference-mapping table in this case, A3 is 0.9. In this case, A2 is taken as the maximum difference value.

[0115] In this embodiment, the difference-type database includes different difference comparison scenarios and the corresponding correction types for each difference comparison scenario; that is, it determines the type. For example, it only needs to retrieve data containing "b" from the database. i1 The historical state setting scheme, including 1, is used to determine the final state of the indicator corresponding to the completely inconsistent state. This is equivalent to using a new method to reasonably verify the completely inconsistent state.

[0116] In this embodiment, for example, the initial state of the initial indicator is a variable state, and the secondary state is an immutable state. At this time, there is complete consistency. Then, the state of the initial indicator is finally verified by the above scheme, and the final state of the indicator is determined.

[0117] In this embodiment, for example, the historical state setting scheme retrieved (the scheme closest in time to the current moment) satisfies N1(b i1 Under the condition of 1), the state of the corresponding parameter is matched.

[0118] In this embodiment, the indicator-state-monitoring mapping table includes different initial indicators, the final state corresponding to the initial indicator, and the monitoring method matching the indicator and state to perform online monitoring of coal-fired boilers.

[0119] The beneficial effects of the above technical solution are: based on the state comparison results, an index sequence is constructed, and a judgment function is constructed. Different judgment conditions in the judgment function are compared with standard conditions to determine the final modification method. This enables the determination of the final state of the index under completely inconsistent states, effectively obtains the monitoring method that matches the index, and facilitates the accuracy of online monitoring.

[0120] This invention provides a real-time online monitoring system for the combustion efficiency of coal-fired boilers, wherein the online monitoring module further includes:

[0121] The label setting unit is used to determine the first parameter corresponding to each indicator, and to set whether the label can be adjusted or not, according to the final state of the corresponding indicator.

[0122] The division unit is used to divide the current combustion parameters into adjustable parameters and non-adjustable parameters based on the label setting results.

[0123] In this embodiment, for example, index 1 corresponds to parameters 1, 2, and 3. At this time, index 1 is the adjustable label, and parameters 1, 2, and 3 are the adjustable parameters. When the index is in a variable state, the corresponding label is the adjustable label, and vice versa.

[0124] The beneficial effects of the above technical solution are: by determining the indicators and parameters, the variable and constant parameters can be determined, which facilitates the effective monitoring of combustion efficiency and improves the combustion efficiency of the boiler.

[0125] This invention provides a real-time online monitoring system for the combustion efficiency of coal-fired boilers, wherein the curve prediction module includes:

[0126] The first stabilization unit is used to monitor the first monitoring value of the same parameter that cannot be adjusted from the start of the coal-fired boiler to the present moment, and determine the corresponding first stability.

[0127] The second stabilization unit is used to monitor the second monitoring value of the same adjustable parameter from the start of operation of the coal-fired boiler to the present moment, determine the corresponding change time point, and then determine the second stability at the present moment.

[0128] The segment construction unit is used to determine the first stable point at the current moment based on the first stability of all parameters that are not allowed to be adjusted and the second stability of all parameters that are allowed to be adjusted based on the current moment. At the same time, based on the distribution of the variation period and the last variation time point of each allowed adjustable parameter, the left extension point and the right extension point are determined, and the combustion stability trend segment is constructed.

[0129] In this embodiment, the boiler starts to be used at time t01, and the current time is t(current). At this time, t01 to t(current) is the corresponding time period. Since the parameter cannot be adjusted, its role in the boiler combustion process should be constant. Therefore, its stability can be set to 1.

[0130] In this embodiment, the adjustable parameters are allowed to change continuously during the boiler combustion process, and there is generally a certain pattern of change. For example, in the coal adding process, a cycle is taken as 3 time points. The changing time points can be regarded as coal adding at time point 1, coal using a1 at time point 2, coal using a2 at time point 3, and coal adding again at time point 4.

[0131] In this embodiment, the determination of the second stability is to determine whether there is consistent behavior at different time points under the period. The more consistent the behavior, the stronger the corresponding stability.

[0132] In this embodiment, the first stable point at the current moment is calculated based on the stability of all parameters that are not allowed to be adjusted and all parameters that are allowed to be adjusted at the current moment, and the first stable point is consistent with the stable value.

[0133] In this embodiment, the change period is determined according to the change period of different variables based on historical online monitoring, and the change periods of different variables are different.

[0134] In this embodiment, the last change time point refers to the start or end point of the last cycle corresponding to the same adjustable parameter at the current moment, distributed on both sides of the current moment.

[0135] In this embodiment, the left extension point refers to the third distribution point distributed to the left at the current moment, and the right extension point refers to the third distribution point distributed to the right at the current moment. The number three is preset, mainly for short-term acquisition, so as to achieve high efficiency and short-term effectiveness in compensating for subsequent future combustion efficiency.

[0136] The beneficial effects of the above technical solution are: by determining the stability of parameters that cannot be adjusted and the stability of parameters that can be adjusted, the first stable point at the current moment can be effectively obtained, which facilitates the subsequent construction of the combustion stability trend segment and improves combustion efficiency.

[0137] This invention provides a real-time online monitoring system for the combustion efficiency of coal-fired boilers, wherein the segment construction unit includes:

[0138] The distribution map building block is used to determine the distribution of the variation period and the last variation time point of each allowed adjustment parameter, and to build a variation distribution map based on the current moment.

[0139] The initial segment determination block is used to lock the third distribution point to the left and the third distribution point to the right at the current time according to the variation distribution map, so as to construct the initial combustion segment;

[0140] The left and right determination blocks are used to obtain the left stable point at each left time step based on the set of variables at each left time step between the third distribution point to the left and the current time step, and at the same time, determine the right stable point at each right time step.

[0141] The final segment determination block is used to construct the combustion stability trend segment based on the left stable point, the right stable point, and the first stable point.

[0142] like Figure 3 The diagram shows the distribution, where adjustable parameters include parameter 1, parameter 2, and parameter 3. The dashed arrows represent the period of parameter 1, the solid arrows represent the period of parameter 2, and the bold arrows represent the period of parameter 3. The connection points of the same lines represent the corresponding time points of change.

[0143] In this embodiment, 001, 002, and 003 are three distribution points distributed to the left at the current moment, with 001 being the third distribution point; 004, 005, and 006 are three distribution points distributed to the right at the current moment, with 006 being the third distribution point on the right, thereby determining the time period in which the combustion segment exists.

[0144] In this embodiment, after determining the left and right time periods, the stable value at each moment is calculated based on the time points existing in different segments. This is the same as calculating the stable value at the current moment, and the right side is the predicted stable value, which is calculated based on the periodic changes.

[0145] In this embodiment, the left time period includes at least 3 time points, and the right time period includes at least 3 time points.

[0146] The beneficial effects of the above technical solution are: by constructing a variation distribution map and screening distribution points, a combustion segment is constructed, and by determining the stable point at each moment, a trend segment is effectively constructed, providing a foundation for improving combustion efficiency in the future.

[0147] This invention provides a real-time online monitoring system for the combustion efficiency of coal-fired boilers, wherein the curve division module includes:

[0148] The efficiency conversion unit is used to obtain the stable combustion efficiency at each moment in the combustion stability trend segment according to the stability-efficiency mapping table;

[0149] The efficiency comparison unit is used to compare the combustion efficiency at each moment with the preset efficiency to obtain the efficiency qualified segment and the efficiency unqualified segment.

[0150] In this embodiment, the stability-efficiency mapping table is preset, and the stability point at different times corresponds to different combustion efficiencies. The preset combustion efficiency is preset, generally 89%.

[0151] In this embodiment, the qualified segment refers to the time points that meet the combustion efficiency and the preset efficiency.

[0152] The beneficial effect of the above technical solution is that by obtaining the combustion efficiency at the corresponding time according to the mapping table, and then by comparing the efficiency, the qualified and unqualified segments can be effectively determined.

[0153] This invention provides a real-time online monitoring system for combustion efficiency of coal-fired boilers, wherein the efficiency compensation module includes:

[0154] The difference determination unit is used to determine the difference between the combustion parameters corresponding to each previous moment in the efficiency failure segment at the current moment;

[0155] Efficiency compensation processing is used to determine, based on all similarities and differences, the first parameter to be compensated for the current moment and the second compensation parameter for the first future moment based on the current moment, thereby realizing efficiency compensation processing for the coal-fired boiler.

[0156] In this embodiment, each previous moment refers to a moment prior to the current moment within the inefficiency-deficient segment.

[0157] For example: at time 1: parameter 1 is r1, parameter 2 is r2; at time 2: parameter 1 is r3, parameter 2 is r4; at the current time: parameter 1 is r5, parameter 2 is r6. At this time, by comparing r1 with r5, r3 with r5, r2 with r6, and r4 with r6, we can determine whether the corresponding parameters are the same or different.

[0158] In this embodiment, the first amount to be compensated is: parameter 1: the absolute value of the difference between r5 and r1, r5 and r3, and parameter 2: the absolute value of the difference between r6 and r2, and r6 and r4;

[0159] In this embodiment, the compensation parameter for the first future time is u1 for the predicted future time and u2 for parameter 1. At this time, the second compensation parameter is: parameter 1: the absolute value of the difference between u1 and r5, parameter 2: the absolute value of the difference between u2 and r6.

[0160] At this point, the final compensation result for the first future moment is: parameter 1: max{r1,r3,r5}-u1, parameter 2: max{r2,r4,r5}-u2. If the result is less than 0, no compensation is needed. If the result is greater than 0, compensation is only based on the difference.

[0161] The beneficial effect of the above technical solution is that by determining the differences in parameters at different times, the compensation amount at the current time and future time can be determined, thereby improving coal combustion efficiency.

[0162] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A real-time online monitoring system for combustion efficiency of coal-fired boilers, characterized in that, include: The online monitoring module is used to monitor the current combustion parameters of the coal-fired boiler in real time, and to divide the current combustion parameters into parameters that can be adjusted and parameters that cannot be adjusted. The curve prediction module is used to analyze the combustion stability trend segment of the coal-fired boiler at the current moment based on the allowable adjustment parameter and the disallowable adjustment parameter. The curve segmentation module is used to segment the combustion stability trend segment and determine the efficiency qualified segment and the efficiency unqualified segment. The parameter determination module is used to lock the initial time point of the efficiency failure segment and the combustion adjustment parameters corresponding to all efficiency failure segments after the initial time point. The efficiency compensation module is used to perform corresponding efficiency compensation processing on the coal-fired boiler in a timely manner based on the combustion adjustment parameters corresponding to all efficiency non-compliance segments when the first future moment of the combustion stability trend segment is reached. The online monitoring module includes: The index acquisition unit is used to acquire the initial indexes of the coal-fired boiler. The set acquisition unit is used to set the initial state for the corresponding initial indicators according to the current combustion demand of the coal-fired boiler, and at the same time, to acquire the indicator setting set for each initial indicator related to the current combustion demand from the historical indicator database. The counting unit is used to count the first number related to the variable state of the indicator and the second number related to the immutable state of the indicator in the indicator setting set corresponding to the same initial indicator. The state setting unit is used to set a dual state to the corresponding initial index when the ratio of the first number to the second number is within a preset range, and to use it as a secondary state. When the ratio of the first number to the second number is not within the preset range, if the ratio of the first number to the second number is greater than the maximum value of the preset range, set the variable state of the corresponding initial indicator as a secondary state. Otherwise, set the corresponding initial indicator to an immutable state and treat it as a secondary state; The parameter determination unit is used to match the relevant monitoring method to the corresponding initial index based on the comparison result between the secondary state and the initial state, and to perform corresponding online monitoring of the coal-fired boiler according to the monitoring method to obtain the current combustion parameters.

2. The real-time online monitoring system for combustion efficiency of coal-fired boilers as described in claim 1, characterized in that, The parameter determination unit includes: A sequence building block is used to construct an indicator sequence based on a first indicator that is consistent with the initial state and the secondary state, and a second indicator that is inconsistent with the initial state and the secondary state. A function building block is used to construct a judgment function B1 based on the index sequence: ;in, The value of the i1th sequence in the index sequence is 0 when the initial state and the secondary state are completely consistent, 1 when the initial state and the secondary state are completely inconsistent, and 0.5 when the initial state and the secondary state are not completely consistent. This represents the indicator weight of the initial indicator corresponding to the i1th sequence in the indicator sequence; n1 represents the total number of sequences in the indicator sequence, and each sequence value corresponds to an initial indicator; This represents a conditional function; Indicates all China satisfies The number of sequences; Indicates satisfaction The The index weights of the initial indicators corresponding to each sequence; Comparison blocks are used when Less than the first preset value Less than the second preset value as well as Less than the third preset value Then the initial state originally set for each initial indicator will be taken as the final state; Otherwise, for as well as Perform difference standard transformation to obtain the final difference values ​​A1, A2, and A3; The difference value determination block is used to obtain the maximum difference value based on max{A1,A2,A3}, filter the judgment type corresponding to the maximum difference value from the difference-type database, and obtain the modification method for the completely inconsistent state; A state modification block is used to partially modify the relevant completely inconsistent states according to the modification method, and obtain the final state; The parameter acquisition block is used to determine the monitoring method consistent with each initial indicator based on the indicator-state-monitoring mapping table, and to perform corresponding online monitoring of the coal-fired boiler according to the monitoring method to obtain the current combustion parameters.

3. The real-time online monitoring system for combustion efficiency of coal-fired boilers as described in claim 1, characterized in that, The online monitoring module also includes: The label setting unit is used to determine the first parameter corresponding to each indicator, and to set whether the label can be adjusted or not, according to the final state of the corresponding indicator. The division unit is used to divide the current combustion parameters into adjustable parameters and non-adjustable parameters based on the label setting results.

4. The real-time online monitoring system for combustion efficiency of coal-fired boilers as described in claim 1, characterized in that, The curve prediction module includes: The first stabilization unit is used to monitor the first monitoring value of the same parameter that cannot be adjusted from the start of the coal-fired boiler to the present moment, and determine the corresponding first stability. The second stabilization unit is used to monitor the second monitoring value of the same adjustable parameter from the start of operation of the coal-fired boiler to the present moment, determine the corresponding change time point, and then determine the second stability at the present moment. The segment construction unit is used to determine the first stable point at the current moment based on the first stability of all parameters that are not allowed to be adjusted and the second stability of all parameters that are allowed to be adjusted based on the current moment. At the same time, based on the distribution of the variation period and the last variation time point of each allowed adjustable parameter, the left extension point and the right extension point are determined, and the combustion stability trend segment is constructed.

5. The real-time online monitoring system for combustion efficiency of coal-fired boilers as described in claim 4, characterized in that, The segment construction unit includes: The distribution map building block is used to determine the distribution of the variation period and the last variation time point of each allowed adjustment parameter, and to build a variation distribution map based on the current moment. The initial segment determination block is used to lock the third distribution point to the left and the third distribution point to the right at the current time according to the variation distribution map, so as to construct the initial combustion segment; The left and right determination blocks are used to obtain the left stable point at each left time step based on the set of variables at each left time step between the third distribution point to the left and the current time step, and at the same time, determine the right stable point at each right time step. The final segment determination block is used to construct the combustion stability trend segment based on the left stable point, the right stable point, and the first stable point.

6. The real-time online monitoring system for combustion efficiency of coal-fired boilers as described in claim 1, characterized in that, The curve segmentation module includes: The efficiency conversion unit is used to obtain the stable combustion efficiency at each moment in the combustion stability trend segment according to the stability-efficiency mapping table; The efficiency comparison unit is used to compare the combustion efficiency at each moment with the preset efficiency to obtain the efficiency qualified segment and the efficiency unqualified segment.

7. The real-time online monitoring system for combustion efficiency of coal-fired boilers as described in claim 1, characterized in that, The efficiency compensation module includes: The difference determination unit is used to determine the difference between the combustion parameters corresponding to each previous moment in the efficiency failure segment at the current moment; Efficiency compensation processing is used to determine, based on all similarities and differences, the first parameter to be compensated for the current moment and the second compensation parameter for the first future moment based on the current moment, thereby realizing efficiency compensation processing for the coal-fired boiler.

Images