Method and system for monitoring ash deposition of furnace arch of W-shaped flame boiler

Abstract

The invention relates to the technical field of boiler ash deposition monitoring, in particular to a W-shaped flame boiler furnace arch ash deposition monitoring method and system. Comprising the steps of setting a plurality of monitoring points according to boiler flue parameters; according to a preset monitoring time node, obtaining a temperature value of each monitoring point, and according to all the temperature values, generating a dust deposition evaluation value of each monitoring point; whether a soot blowing instruction is generated or not is judged according to all the soot deposition evaluation values, and a soot blowing strategy is generated according to the soot blowing instruction; a plurality of monitoring points are established according to boiler flue parameters, a monitoring module is arranged at each monitoring point, a thermocouple is used for measuring the temperature change of the bottom of the furnace arch horizontal flue, the ash deposition condition of the furnace arch horizontal flue is indirectly reflected, and temperature data collected by each monitoring module are periodically obtained by setting monitoring time nodes. Real-time monitoring of ash deposition of the furnace arch horizontal flue is achieved, so that the ash blowing strategy is dynamically adjusted, and efficient ash blowing is conducted on the furnace arch horizontal flue.

Description

Technical Field

[0001] The present application relates to the technical field of boiler ash accumulation monitoring, and in particular to a method and system for monitoring ash accumulation at the flame corner of a W-type flame boiler. Background Art

[0002] W-type flame boilers have been widely used because they use long flames, graded air supply, coal powder concentration technology and other means, which makes the boiler unit have considerable advantages in coal adaptability, low-load stable combustion ability, fly ash burnout rate and other aspects. Its double cyclone separation burner is arranged on the arch, and the secondary air is supplied from the arch and below the arch in stages. A certain number of flame retardant belts are laid in the lower furnace to increase the furnace temperature and ensure the ignition and stable combustion of low-volatile coal. Operation practice shows that W-flame boilers are relatively good in combustion stability, low-load stable combustion ability and load performance, which ensures the stability and reliability of the unit operation. However, W-type flame boilers generally have a large amount of ash accumulation at the slope of the flame angle during operation. When the ash accumulation at the slope of the flame angle reaches a certain level, large-scale ash accumulation will occur.

[0003] The 2×600M “W” thermal power plant of Zhenxiong Power Plant adopts a “W” type flame boiler. The inclined wall of the horizontal flue at the folding angle of the flame is inclined at an angle of 35°. The small design slope of the inclined wall makes it easy for ash to accumulate in the horizontal flue. Since there is no means to monitor the ash accumulation in the horizontal flue at the folding angle of the flame, it is impossible to judge the severity of the ash accumulation. There have been cases where the horizontal flue at the folding angle has collapsed due to ash, resulting in the flameout of the boiler. There have also been cases where the soot blower has over-blown and damaged the heating surface of the water-cooled wall of the bottom wall of the horizontal flue, which has seriously threatened the safe and stable operation of the boiler. Summary of the invention

[0004] The purpose of this application is: to solve the above-mentioned technical problems, this application provides a method and system for monitoring ash accumulation at the flame break angle of a W-type flame boiler, aiming to improve the real-time monitoring of ash accumulation in the horizontal flue at the flame break angle, optimize the soot blowing strategy, and perform efficient soot blowing on the horizontal flue at the flame break angle.

[0005] In some embodiments of the present application, multiple monitoring points are established according to the boiler flue parameters, and a monitoring module is set at each monitoring point. Thermocouples are used to measure the changes in the bottom temperature of the horizontal flue at the flame fold angle, which indirectly reflects the ash accumulation in the horizontal flue at the flame fold angle. The operating personnel can make judgments based on the historical curves, thereby dynamically adjusting the soot blowing strategy and performing efficient soot blowing on the horizontal flue at the flame fold angle.

[0006] In some embodiments of the present application, by setting monitoring time nodes to periodically acquire temperature data collected by each monitoring module, real-time monitoring of ash accumulation in the horizontal flue at the flame fold angle is achieved, and by dynamically setting the data sampling period and acquisition times of a single monitoring time node at a single monitoring time node, interference from irrelevant data is eliminated, thereby improving the accuracy of judging the amount of ash accumulation inside the flue.

[0007] In some embodiments of the present application, a method for monitoring ash accumulation at the flame folding angle of a W-type flame boiler is provided, comprising:

[0008] Set multiple monitoring points according to boiler flue parameters;

[0009] Obtain the temperature value of each monitoring point according to the preset monitoring time node, and generate the dust accumulation evaluation value of each monitoring point according to all temperature values;

[0010] Determine whether to generate a soot blowing instruction according to all the soot accumulation evaluation values, and generate a soot blowing strategy according to the soot blowing instruction;

[0011] Among them, when multiple monitoring points are set, they include:

[0012] Establish a monitoring point sequence A, A = (a1, a2...ai...an), where ai is the i-th monitoring point and n is the number of monitoring points.

[0013] In some embodiments of the present application, when obtaining the temperature value of each monitoring point according to the preset monitoring time node, it includes:

[0014] Setting a sampling period for the current monitoring time node, wherein the sampling period includes multiple time intervals;

[0015] Establish a time interval sequence T, T = (t1, t2...ti...tm), where ti is the i-th time interval in the sampling period; m is the number of time intervals;

[0016] According to the monitoring point sequence A, set ai as the target monitoring point in sequence;

[0017] Generate a temperature value sequence B of the target monitoring point at the current monitoring time node, B = (b1, b2...bi...bm), where bi is the temperature value of the target monitoring point in the i-th time interval within the sampling period of the current monitoring time node;

[0018] Generate a series of temperature values ​​for each monitoring point at the current monitoring time node in sequence.

[0019] In some embodiments of the present application, when generating the dust accumulation evaluation value of each monitoring point according to all temperature values, it includes:

[0020] Generate a dust accumulation evaluation value c of the target monitoring point according to the temperature value series B of the target monitoring point;

[0021]

[0022] Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; e3 is the preset third weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; Q3 is the preset third fixed coefficient; b' is the standard temperature value of the target monitoring point; Δb is the average value of all data in the temperature value series B;

[0023] Generate dust accumulation evaluation values ​​of each monitoring point at the current monitoring time node in sequence;

[0024] A dust accumulation evaluation value sequence C of the current monitoring time node is established, C = (c1, c2...ci...cn), where ci is the dust accumulation evaluation value of the i-th monitoring point.

[0025] In some embodiments of the present application, when determining whether to generate a soot blowing instruction according to all the dust accumulation evaluation values, the method includes:

[0026] Generate a soot blowing evaluation value d according to the soot accumulation evaluation value sequence C at the current monitoring time node;

[0027]

[0028] Among them, e4 is the preset fourth weight coefficient; e5 is the preset fifth weight coefficient; Q4 is the preset fourth fixed coefficient; Q5 is the preset fifth fixed coefficient; Δc is the average value of all data in the dust accumulation evaluation value series C; g is the compensation coefficient;

[0029] Preset a first sootblowing evaluation value threshold D1 and a second sootblowing evaluation value threshold D2;

[0030] If d<D1, no soot blowing instruction is generated;

[0031] If D1≤d<D2, a first-level soot blowing instruction is generated, and the time interval between the current monitoring time node and the next monitoring time node is corrected according to the first-level soot blowing instruction;

[0032] If d>D2, a secondary sootblowing instruction is generated, and the sootblowing strategy is set according to the sootblowing evaluation value d at the current monitoring time node.

[0033] In some embodiments of the present application, when setting the compensation coefficient g, it includes:

[0034] Preset a first dust accumulation evaluation value threshold C1 and a second dust accumulation evaluation value threshold C2;

[0035] If C1≤ci<C2, set the i-th monitoring point as a first-level monitoring point at the current monitoring time node;

[0036] If ci ≥ C2, set the i-th monitoring point as a secondary monitoring point at the current monitoring time node;

[0037] Get the number of first-level monitoring points n1 and second-level monitoring points n2 at the current monitoring time node;

[0038] Generate a first reference evaluation value H1 according to the number n1 of first-level monitoring points;

[0039] Generate a second reference evaluation value H2 according to the number of secondary monitoring points n2;

[0040] Generate a compensation evaluation value k according to the first reference evaluation value H1 and the second reference evaluation value H2;

[0041] k = r1 * H1 + r2 * H2;

[0042] Wherein, r1 is the preset first weighting coefficient; r2 is the preset second weighting coefficient;

[0043] The compensation coefficient g is set according to the compensation evaluation value k.

[0044] In some embodiments of the present application, when setting a soot blowing strategy according to the soot blowing evaluation value d at the current monitoring time node, it includes:

[0045] According to the soot blowing evaluation value d, the initial soot blowing speed v and soot blowing duration of the current monitoring time node are set;

[0046] Set multiple feedback time nodes according to the soot blowing duration, and generate the expected temperature change curve for each monitoring point;

[0047] Obtain the real-time temperature value of each monitoring point according to the feedback time node, and determine whether to correct the initial soot blowing speed;

[0048] Among them, when setting the initial soot blowing speed v of the current monitoring time node, it includes:

[0049] Presetting a first sootblowing evaluation value interval (D2, D3) and a second sootblowing evaluation value interval (D3, D4);

[0050] If the sootblowing evaluation value d is within the preset first sootblowing evaluation value interval, the initial sootblowing speed v is set to the preset first sootblowing speed V1, that is, v=V1;

[0051] If the sootblowing evaluation value d is within the preset second sootblowing evaluation value interval, the initial sootblowing speed v is set to the preset second sootblowing speed V2, that is, v=V2; and V1<V2.

[0052] In some embodiments of the present application, a W-type flame boiler flame fold angle ash accumulation monitoring system is provided, comprising:

[0053] Central control unit, used to set multiple monitoring points according to boiler flue parameters;

[0054] The monitoring unit includes a plurality of monitoring modules, each of which is arranged at each monitoring point and is used to collect the temperature value of each monitoring point according to a preset monitoring time node;

[0055] A single monitoring module includes: a thermocouple, a compensation wire and an IDAS module, wherein the thermocouple is used to collect the temperature value of the monitoring point; the compensation wire is used to connect the thermocouple and the IDAS module; and the IDAS module is used to connect the central control unit;

[0056] The central control unit comprises:

[0057] The first processing module is used to generate dust accumulation evaluation values ​​of each monitoring point according to all temperature values;

[0058] The second processing module is used to determine whether to generate a soot blowing instruction according to all the dust accumulation evaluation values;

[0059] A third processing module is used to generate a soot blowing strategy according to the soot blowing instruction;

[0060] The first processing module is further used to establish a monitoring point sequence A, A=(a1, a2...ai...an), where ai is the ith monitoring point and n is the number of monitoring points.

[0061] In some embodiments of the present application, the first processing module is further used to:

[0062] Setting a sampling period for the current monitoring time node, wherein the sampling period includes multiple time intervals;

[0063] Establish a time interval sequence T, T = (t1, t2...ti...tm), where ti is the i-th time interval in the sampling period; m is the number of time intervals;

[0064] According to the monitoring point sequence A, set ai as the target monitoring point in sequence;

[0065] Generate a temperature value sequence B of the target monitoring point at the current monitoring time node, B = (b1, b2...bi...bm), where bi is the temperature value of the target monitoring point in the i-th time interval within the sampling period of the current monitoring time node;

[0066] Generate a dust accumulation evaluation value c of the target monitoring point according to the temperature value series B of the target monitoring point;

[0067]

[0068] Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; e3 is the preset third weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; Q3 is the preset third fixed coefficient; b' is the standard temperature value of the target monitoring point; Δb is the average value of all data in the temperature value series B;

[0069] Generate dust accumulation evaluation values ​​of each monitoring point at the current monitoring time node in sequence;

[0070] A dust accumulation evaluation value sequence C of the current monitoring time node is established, C = (c1, c2...ci...cn), where ci is the dust accumulation evaluation value of the i-th monitoring point.

[0071] In some embodiments of the present application, the second processing module is further used for:

[0072] Generate a soot blowing evaluation value d according to the soot accumulation evaluation value sequence C at the current monitoring time node;

[0073]

[0074] Among them, e4 is the preset fourth weight coefficient; e5 is the preset fifth weight coefficient; Q4 is the preset fourth fixed coefficient; Q5 is the preset fifth fixed coefficient; Δc is the average value of all data in the dust accumulation evaluation value series C; g is the compensation coefficient;

[0075] Preset a first sootblowing evaluation value threshold D1 and a second sootblowing evaluation value threshold D2;

[0076] If d<D1, no soot blowing instruction is generated;

[0077] If D1≤d<D2, a first-level soot blowing instruction is generated, and the second processing module corrects the time interval between the current monitoring time node and the next monitoring time node according to the first-level soot blowing instruction;

[0078] If d>D2, a secondary soot blowing instruction is generated, and the third processing module sets the soot blowing strategy according to the soot blowing evaluation value d at the current monitoring time node;

[0079] Wherein, when the second processing module sets the compensation coefficient, it includes:

[0080] Preset a first dust accumulation evaluation value threshold C1 and a second dust accumulation evaluation value threshold C2;

[0081] If C1≤ci<C2, set the i-th monitoring point as a first-level monitoring point at the current monitoring time node;

[0082] If ci ≥ C2, set the i-th monitoring point as a secondary monitoring point at the current monitoring time node;

[0083] Get the number of first-level monitoring points n1 and second-level monitoring points n2 at the current monitoring time node;

[0084] Generate a first reference evaluation value H1 according to the number n1 of first-level monitoring points;

[0085] Generate a second reference evaluation value H2 according to the number of secondary monitoring points n2;

[0086] Generate a compensation evaluation value k according to the first reference evaluation value H1 and the second reference evaluation value H2;

[0087] k = r1 * H1 + r2 * H2;

[0088] Wherein, r1 is the preset first weighting coefficient; r2 is the preset second weighting coefficient;

[0089] The compensation coefficient g is set according to the compensation evaluation value k.

[0090] In some embodiments of the present application, when the third processing module sets the soot blowing strategy according to the soot blowing evaluation value d at the current monitoring time node, it includes:

[0091] According to the soot blowing evaluation value d, the initial soot blowing speed v and soot blowing duration of the current monitoring time node are set;

[0092] Set multiple feedback time nodes according to the soot blowing duration, and generate the expected temperature change curve for each monitoring point;

[0093] Obtain the real-time temperature value of each monitoring point according to the feedback time node, and determine whether to correct the initial soot blowing speed;

[0094] Among them, when setting the initial soot blowing speed v of the current monitoring time node, it includes:

[0095] Presetting a first sootblowing evaluation value interval (D2, D3) and a second sootblowing evaluation value interval (D3, D4);

[0096] If the sootblowing evaluation value d is within the preset first sootblowing evaluation value interval, the initial sootblowing speed v is set to the preset first sootblowing speed V1, that is, v=V1;

[0097] If the sootblowing evaluation value d is within the preset second sootblowing evaluation value interval, the initial sootblowing speed v is set to the preset second sootblowing speed V2, that is, v=V2; and V1<V2.

[0098] Compared with the prior art, the method and system for monitoring ash accumulation at the flame corner of a W-shaped flame boiler in the embodiment of the present application has the following beneficial effects:

[0099] Multiple monitoring points are established according to the boiler flue parameters, and monitoring modules are set up at each monitoring point. Thermocouples are used to measure the changes in the bottom temperature of the horizontal flue at the flame break angle, which indirectly reflects the ash accumulation in the horizontal flue at the flame break angle. The operating personnel can make judgments based on the historical curves, thereby dynamically adjusting the soot blowing strategy and performing efficient soot blowing on the horizontal flue at the flame break angle.

[0100] By setting the monitoring time node to periodically obtain the temperature data collected by each monitoring module, the real-time monitoring of the horizontal flue ash accumulation at the flame fold angle is realized. By dynamically setting the data sampling cycle and collection times of a single monitoring time node, the interference of irrelevant data is eliminated, and the judgment accuracy of the ash accumulation inside the flue is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0101] Figure 1 It is a flow chart of a method for monitoring ash accumulation at the flame angle of a W-type flame boiler in a preferred embodiment of the present application. DETAILED DESCRIPTION

[0102] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0103] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0104] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0105] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0106] like Figure 1 As shown, a method for monitoring ash accumulation at the flame angle of a W-shaped flame boiler in a preferred embodiment of the present application includes:

[0107] S101: setting multiple monitoring points according to boiler flue parameters;

[0108] S102: acquiring the temperature value of each monitoring point according to a preset monitoring time node, and generating a dust accumulation evaluation value of each monitoring point according to all temperature values;

[0109] S103: judging whether to generate a soot blowing instruction according to all the soot accumulation evaluation values, and generating a soot blowing strategy according to the soot blowing instruction;

[0110] Among them, when multiple monitoring points are set, they include:

[0111] Establish a monitoring point sequence A, A = (a1, a2...ai...an), where ai is the i-th monitoring point and n is the number of monitoring points.

[0112] Specifically, the location of each ash accumulation capacity is set as a monitoring point according to the boiler flue parameters, and a thermocouple is installed at each monitoring point. The thermocouple is installed perpendicular to the horizontal flue at the flame folding angle, and the insertion depth should be 200mm. The IDAS module is connected through a compensation wire and then connected to the central control unit.

[0113] Specifically, since the smoke temperature of the horizontal flue at the flame angle is about 850℃, the temperature of the water-cooled wall at the bottom of the horizontal flue at the flame angle is about 400℃. The heat of the ash accumulation at the bottom of the horizontal flue at the flame angle will be absorbed by the water-cooled wall, and the temperature will gradually decrease. In other words, the ash accumulation temperature is higher than the water-cooled wall temperature and lower than the flue flue temperature. The more or thicker the ash accumulation, the lower the ash accumulation temperature, and the lower the temperature measured by the thermocouple, indicating that the ash accumulation is more serious.

[0114] Specifically, the temperature value of each monitoring point is obtained according to the preset monitoring time node, including:

[0115] Set the sampling period of the current monitoring time node, which includes multiple time intervals;

[0116] Establish a time interval sequence T, T = (t1, t2...ti...tm), where ti is the i-th time interval in the sampling period; m is the number of time intervals;

[0117] According to the monitoring point sequence A, set ai as the target monitoring point in sequence;

[0118] Generate a temperature value sequence B of the target monitoring point at the current monitoring time node, B = (b1, b2...bi...bm), where bi is the temperature value of the target monitoring point in the i-th time interval within the sampling period of the current monitoring time node;

[0119] Generate a series of temperature values ​​for each monitoring point at the current monitoring time node in sequence.

[0120] Specifically, when generating the dust accumulation evaluation value of each monitoring point based on all temperature values, it includes:

[0121] Generate a dust accumulation evaluation value c of the target monitoring point according to the temperature value series B of the target monitoring point;

[0122]

[0123]

[0124] Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; e3 is the preset third weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; Q3 is the preset third fixed coefficient; b' is the standard temperature value of the target monitoring point; Δb is the average value of all data in the temperature value series B;

[0125] Generate dust accumulation evaluation values ​​of each monitoring point at the current monitoring time node in sequence;

[0126] A dust accumulation evaluation value sequence C of the current monitoring time node is established, C = (c1, c2...ci...cn), where ci is the dust accumulation evaluation value of the i-th monitoring point.

[0127] Specifically, the model is normalized by presetting the first fixed coefficient, the second fixed coefficient and the third fixed coefficient, so that each indicator in the model is in the same value range.

[0128] Specifically, the standard temperature value can be set according to the historical operating parameters. The standard temperature value means that under the current state, there is no ash accumulation in the flue and the boiler operates well as a whole.

[0129] Specifically, the higher the ash accumulation evaluation value, the greater the ash accumulation at the current monitoring point, and the higher the risk of flue collapse. Soot blowing needs to be carried out in a timely manner. By generating the ash accumulation evaluation value of each monitoring point, comprehensive monitoring of the flue interior is achieved.

[0130] It can be understood that in the above embodiment, by setting the monitoring time node to periodically obtain the temperature data collected by each monitoring module, the real-time monitoring of the ash accumulation in the horizontal flue at the flame fold angle is realized, and by dynamically setting the data sampling cycle and the number of collection times at a single monitoring time node, the interference of irrelevant data is eliminated, and the judgment accuracy of the ash accumulation inside the flue is improved.

[0131] In a preferred embodiment of the present application, when judging whether to generate a soot blowing instruction according to all the dust accumulation evaluation values, it includes:

[0132] Generate a soot blowing evaluation value d according to the soot accumulation evaluation value sequence C at the current monitoring time node;

[0133]

[0134] Among them, e4 is the preset fourth weight coefficient; e5 is the preset fifth weight coefficient; Q4 is the preset fourth fixed coefficient; Q5 is the preset fifth fixed coefficient; Δc is the average value of all data in the dust accumulation evaluation value series C; g is the compensation coefficient;

[0135] Preset a first sootblowing evaluation value threshold D1 and a second sootblowing evaluation value threshold D2;

[0136] If d<D1, no soot blowing instruction is generated;

[0137] If D1≤d<D2, a first-level soot blowing instruction is generated, and the time interval between the current monitoring time node and the next monitoring time node is corrected according to the first-level soot blowing instruction;

[0138] If d>D2, a secondary sootblowing instruction is generated, and the sootblowing strategy is set according to the sootblowing evaluation value d at the current monitoring time node.

[0139] Specifically, the model is normalized by presetting the fourth fixed coefficient and the fifth fixed coefficient, so that each indicator in the model is in the same value range.

[0140] Specifically, the larger the soot blowing evaluation value is, the greater the overall ash accumulation inside the flue is, and the greater the risk of flue ash collapse causing boiler flameout.

[0141] Specifically, the first-level sootblowing instruction refers to shortening the time interval between the current monitoring time node and the next monitoring time node according to the sootblowing evaluation value of the current monitoring time node, thereby timely warning of the risk of soot accumulation inside the flue and ensuring the safe operation of the boiler.

[0142] Specifically, when setting the compensation coefficient g, it includes:

[0143] Preset a first dust accumulation evaluation value threshold C1 and a second dust accumulation evaluation value threshold C2;

[0144] If C1≤ci<C2, set the i-th monitoring point as a first-level monitoring point at the current monitoring time node;

[0145] If ci ≥ C2, set the i-th monitoring point as a secondary monitoring point at the current monitoring time node;

[0146] Get the number of first-level monitoring points n1 and second-level monitoring points n2 at the current monitoring time node;

[0147] Generate a first reference evaluation value H1 according to the number n1 of first-level monitoring points;

[0148] Generate a second reference evaluation value H2 according to the number of secondary monitoring points n2;

[0149] Generate a compensation evaluation value k according to the first reference evaluation value H1 and the second reference evaluation value H2;

[0150] k = r1 * H1 + r2 * H2;

[0151] Wherein, r1 is the preset first weighting coefficient; r2 is the preset second weighting coefficient;

[0152] The compensation coefficient g is set according to the compensation evaluation value k.

[0153] Specifically, the first reference evaluation value and the second reference evaluation value have the same value range. The more the number of primary monitoring points is, the larger the corresponding first reference evaluation value is. The more the number of secondary monitoring points is, the larger the corresponding second reference evaluation value is.

[0154] Specifically, a functional relationship between the compensation coefficient and the compensation evaluation value is established, so as to dynamically adjust the corresponding compensation coefficient according to the real-time compensation evaluation value.

[0155] It can be understood that in the above embodiment, multiple monitoring points are established according to the boiler flue parameters, and a monitoring module is set at each monitoring point. Thermocouples are used to measure the changes in the bottom temperature of the horizontal flue at the flame folding angle, which indirectly reflects the ash accumulation in the horizontal flue at the flame folding angle. The operating personnel make judgments based on the historical curves, thereby dynamically adjusting the soot blowing strategy to efficiently blow soot on the horizontal flue at the flame folding angle.

[0156] In a preferred embodiment of the present application, when setting the soot blowing strategy according to the soot blowing evaluation value d at the current monitoring time node, it includes:

[0157] According to the soot blowing evaluation value d, the initial soot blowing speed v and soot blowing duration of the current monitoring time node are set;

[0158] Set multiple feedback time nodes according to the soot blowing duration, and generate the expected temperature change curve for each monitoring point;

[0159] Obtain the real-time temperature value of each monitoring point according to the feedback time node, and determine whether to correct the initial soot blowing speed;

[0160] Among them, when setting the initial soot blowing speed v of the current monitoring time node, it includes:

[0161] Presetting a first sootblowing evaluation value interval (D2, D3) and a second sootblowing evaluation value interval (D3, D4);

[0162] If the sootblowing evaluation value d is within the preset first sootblowing evaluation value interval, the initial sootblowing speed v is set to the preset first sootblowing speed V1, that is, v=V1;

[0163] If the sootblowing evaluation value d is within the preset second sootblowing evaluation value interval, the initial sootblowing speed v is set to the preset second sootblowing speed V2, that is, v=V2; and V1<V2.

[0164] Specifically, the corresponding initial sootblowing speed is set according to the real-time sootblowing evaluation value, and the sootblowing speed is dynamically adjusted by setting multiple feedback time nodes, so as to ensure the sootblowing efficiency while avoiding the sootblower from overblowing and damaging the horizontal flue, and realize the reasonable sootblowing of the horizontal flue with the folded flame angle, thus ensuring the stable operation of the boiler.

[0165] Based on another preferred embodiment of a method for monitoring ash accumulation at the flame folding angle of a W-type flame boiler in any of the above preferred embodiments, this preferred embodiment provides a method for monitoring ash accumulation at the flame folding angle of a W-type flame boiler, comprising:

[0166] Central control unit, used to set multiple monitoring points according to boiler flue parameters;

[0167] The monitoring unit includes a plurality of monitoring modules, each of which is arranged at each monitoring point and is used to collect the temperature value of each monitoring point according to a preset monitoring time node;

[0168] A single monitoring module includes: a thermocouple, a compensation wire and an IDAS module. The thermocouple is used to collect the temperature value of the monitoring point; the compensation wire is used to connect the thermocouple and the IDAS module; the IDAS module is used to connect the central control unit;

[0169] The central control unit includes:

[0170] The first processing module is used to generate dust accumulation evaluation values ​​of each monitoring point according to all temperature values;

[0171] The second processing module is used to determine whether to generate a soot blowing instruction according to all the dust accumulation evaluation values;

[0172] A third processing module is used to generate a soot blowing strategy according to the soot blowing instruction;

[0173] The first processing module is also used to establish a monitoring point sequence A, A = (a1, a2...ai...an), where ai is the ith monitoring point and n is the number of monitoring points.

[0174] Specifically, the location of each ash accumulation capacity is set as a monitoring point according to the boiler flue parameters, and a thermocouple is installed at each monitoring point. The thermocouple is installed perpendicular to the horizontal flue at the flame folding angle, and the insertion depth should be 200mm. The IDAS module is connected through a compensation wire and then connected to the central control unit.

[0175] Specifically, the first processing module is also used for:

[0176] Set the sampling period of the current monitoring time node, which includes multiple time intervals;

[0177] Establish a time interval sequence T, T = (t1, t2...ti...tm), where ti is the i-th time interval in the sampling period; m is the number of time intervals;

[0178] According to the monitoring point sequence A, set ai as the target monitoring point in sequence;

[0179] Generate a temperature value sequence B of the target monitoring point at the current monitoring time node, B = (b1, b2...bi...bm), where bi is the temperature value of the target monitoring point in the i-th time interval within the sampling period of the current monitoring time node;

[0180] Generate a dust accumulation evaluation value c of the target monitoring point according to the temperature value series B of the target monitoring point;

[0181]

[0182] Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; e3 is the preset third weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; Q3 is the preset third fixed coefficient; b' is the standard temperature value of the target monitoring point; Δb is the average value of all data in the temperature value series B;

[0183] Generate dust accumulation evaluation values ​​of each monitoring point at the current monitoring time node in sequence;

[0184] A dust accumulation evaluation value sequence C of the current monitoring time node is established, C = (c1, c2...ci...cn), where ci is the dust accumulation evaluation value of the i-th monitoring point.

[0185] In a preferred embodiment of the present application, the second processing module is also used for:

[0186] Generate a soot blowing evaluation value d according to the soot accumulation evaluation value sequence C at the current monitoring time node;

[0187]

[0188] Among them, e4 is the preset fourth weight coefficient; e5 is the preset fifth weight coefficient; Q4 is the preset fourth fixed coefficient; Q5 is the preset fifth fixed coefficient; Δc is the average value of all data in the dust accumulation evaluation value series C; g is the compensation coefficient;

[0189] Preset a first sootblowing evaluation value threshold D1 and a second sootblowing evaluation value threshold D2;

[0190] If d<D1, no soot blowing instruction is generated;

[0191] If D1≤d<D2, a first-level soot blowing instruction is generated, and the second processing module corrects the time interval between the current monitoring time node and the next monitoring time node according to the first-level soot blowing instruction;

[0192] If d>D2, a secondary soot blowing instruction is generated, and the third processing module sets the soot blowing strategy according to the soot blowing evaluation value d at the current monitoring time node;

[0193] Wherein, when the second processing module sets the compensation coefficient, it includes:

[0194] Preset a first dust accumulation evaluation value threshold C1 and a second dust accumulation evaluation value threshold C2;

[0195] If C1≤ci<C2, set the i-th monitoring point as a first-level monitoring point at the current monitoring time node;

[0196] If ci ≥ C2, set the i-th monitoring point as a secondary monitoring point at the current monitoring time node;

[0197] Get the number of first-level monitoring points n1 and second-level monitoring points n2 at the current monitoring time node;

[0198] Generate a first reference evaluation value H1 according to the number n1 of first-level monitoring points;

[0199] Generate a second reference evaluation value H2 according to the number of secondary monitoring points n2;

[0200] Generate a compensation evaluation value k according to the first reference evaluation value H1 and the second reference evaluation value H2;

[0201] k = r1 * H1 + r2 * H2;

[0202] Wherein, r1 is the preset first weighting coefficient; r2 is the preset second weighting coefficient;

[0203] The compensation coefficient g is set according to the compensation evaluation value k.

[0204] In a preferred embodiment of the present application, when the third processing module sets the soot blowing strategy according to the soot blowing evaluation value d at the current monitoring time node, it includes:

[0205] According to the soot blowing evaluation value d, the initial soot blowing speed v and soot blowing duration of the current monitoring time node are set;

[0206] Set multiple feedback time nodes according to the soot blowing duration, and generate the expected temperature change curve for each monitoring point;

[0207] Obtain the real-time temperature value of each monitoring point according to the feedback time node, and determine whether to correct the initial soot blowing speed;

[0208] Among them, when setting the initial soot blowing speed v of the current monitoring time node, it includes:

[0209] Presetting a first sootblowing evaluation value interval (D2, D3) and a second sootblowing evaluation value interval (D3, D4);

[0210] If the sootblowing evaluation value d is within the preset first sootblowing evaluation value interval, the initial sootblowing speed v is set to the preset first sootblowing speed V1, that is, v=V1;

[0211] If the sootblowing evaluation value d is within the preset second sootblowing evaluation value interval, the initial sootblowing speed v is set to the preset second sootblowing speed V2, that is, v=V2; and V1<V2.

[0212] According to the first concept of the present application, multiple monitoring points are established according to the boiler flue parameters, and a monitoring module is set at each monitoring point. Thermocouples are used to measure the changes in the bottom temperature of the horizontal flue at the flame folding angle, which indirectly reflects the ash accumulation in the horizontal flue at the flame folding angle. The operating personnel can make judgments based on the historical curves, thereby dynamically adjusting the soot blowing strategy and performing efficient soot blowing on the horizontal flue at the flame folding angle.

[0213] According to the second concept of the present application, by setting the monitoring time node to periodically acquire the temperature data collected by each monitoring module, the real-time monitoring of the ash accumulation in the horizontal flue at the flame fold angle is realized, and by dynamically setting the data sampling cycle and the number of collection times at a single monitoring time node, the interference of irrelevant data is eliminated, and the judgment accuracy of the ash accumulation inside the flue is improved.

[0214] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. A method for monitoring ash accumulation at the flame angle of a W-type flame boiler, characterized in that: include: Set multiple monitoring points according to boiler flue parameters; Obtain the temperature value of each monitoring point according to the preset monitoring time node, and generate the dust accumulation evaluation value of each monitoring point according to all temperature values; Determine whether to generate a soot blowing instruction according to all the soot accumulation evaluation values, and generate a soot blowing strategy according to the soot blowing instruction; Among them, when multiple monitoring points are set, they include: Establish a monitoring point sequence A, A = (a1, a2...ai...an), where ai is the i-th monitoring point and n is the number of monitoring points.

2. The method for monitoring ash accumulation at the flame angle of a W-shaped flame boiler according to claim 1, characterized in that: When obtaining the temperature value of each monitoring point according to the preset monitoring time node, it includes: Setting a sampling period for the current monitoring time node, wherein the sampling period includes multiple time intervals; Establish a time interval sequence T, T = (t1, t2...ti...tm), where ti is the i-th time interval in the sampling period; m is the number of time intervals; According to the monitoring point sequence A, set ai as the target monitoring point in sequence; Generate a temperature value sequence B of the target monitoring point at the current monitoring time node, B = (b1, b2...bi...bm), where bi is the temperature value of the target monitoring point in the i-th time interval within the sampling period of the current monitoring time node; Generate a series of temperature values ​​for each monitoring point at the current monitoring time node in sequence.

3. The method for monitoring ash accumulation at the flame angle of a W-shaped flame boiler according to claim 2, characterized in that: When generating dust accumulation evaluation values ​​for each monitoring point based on all temperature values, it includes: Generate a dust accumulation evaluation value c of the target monitoring point according to the temperature value series B of the target monitoring point; Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; e3 is the preset third weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; Q3 is the preset third fixed coefficient; b' is the standard temperature value of the target monitoring point; Δb is the average value of all data in the temperature value series B; Generate dust accumulation evaluation values ​​of each monitoring point at the current monitoring time node in sequence; A dust accumulation evaluation value sequence C of the current monitoring time node is established, C = (c1, c2...ci...cn), where ci is the dust accumulation evaluation value of the i-th monitoring point.

4. The method for monitoring ash accumulation at the flame angle of a W-shaped flame boiler according to claim 3, characterized in that: When judging whether to generate a soot blowing instruction based on all the soot accumulation evaluation values, it includes: Generate a soot blowing evaluation value d according to the soot accumulation evaluation value sequence C at the current monitoring time node; Among them, e4 is the preset fourth weight coefficient; e5 is the preset fifth weight coefficient; Q4 is the preset fourth fixed coefficient; Q5 is the preset fifth fixed coefficient; Δc is the average value of all data in the dust accumulation evaluation value series C; g is the compensation coefficient; Preset a first sootblowing evaluation value threshold D1 and a second sootblowing evaluation value threshold D2; If d<D1, no soot blowing instruction is generated; If D1≤d<D2, a first-level soot blowing instruction is generated, and the time interval between the current monitoring time node and the next monitoring time node is corrected according to the first-level soot blowing instruction; If d>D2, a secondary sootblowing instruction is generated, and the sootblowing strategy is set according to the sootblowing evaluation value d at the current monitoring time node.

5. The method for monitoring ash accumulation at the flame angle of a W-shaped flame boiler according to claim 4, characterized in that: When setting the compensation coefficient g, include: Preset a first dust accumulation evaluation value threshold C1 and a second dust accumulation evaluation value threshold C2; If C1≤ci<C2, set the i-th monitoring point as a first-level monitoring point at the current monitoring time node; If ci ≥ C2, set the i-th monitoring point as a secondary monitoring point at the current monitoring time node; Get the number of first-level monitoring points n1 and second-level monitoring points n2 at the current monitoring time node; Generate a first reference evaluation value H1 according to the number n1 of first-level monitoring points; Generate a second reference evaluation value H2 according to the number of secondary monitoring points n2; Generate a compensation evaluation value k according to the first reference evaluation value H1 and the second reference evaluation value H2; k = r1 * H1 + r2 * H2; Wherein, r1 is the preset first weighting coefficient; r2 is the preset second weighting coefficient; The compensation coefficient g is set according to the compensation evaluation value k.

6. The method for monitoring ash accumulation at the flame angle of a W-shaped flame boiler according to claim 4, characterized in that: When setting the soot blowing strategy according to the soot blowing evaluation value d at the current monitoring time node, it includes: According to the soot blowing evaluation value d, the initial soot blowing speed v and soot blowing duration of the current monitoring time node are set; Set multiple feedback time nodes according to the soot blowing duration, and generate the expected temperature change curve for each monitoring point; Obtain the real-time temperature value of each monitoring point according to the feedback time node, and determine whether to correct the initial soot blowing speed; Among them, when setting the initial soot blowing speed v of the current monitoring time node, it includes: Presetting a first sootblowing evaluation value interval (D2, D3) and a second sootblowing evaluation value interval (D3, D4); If the sootblowing evaluation value d is within the preset first sootblowing evaluation value interval, the initial sootblowing speed v is set to the preset first sootblowing speed V1, that is, v=V1; If the sootblowing evaluation value d is within the preset second sootblowing evaluation value interval, the initial sootblowing speed v is set to the preset second sootblowing speed V2, that is, v=V2; and V1<V2.

7. A W-type flame boiler flame corner ash accumulation monitoring system, using the W-type flame boiler flame corner ash accumulation monitoring method described in any one of claims 1 to 6, characterized in that: include: Central control unit, used to set multiple monitoring points according to boiler flue parameters; The monitoring unit includes a plurality of monitoring modules, each of which is arranged at each monitoring point and is used to collect the temperature value of each monitoring point according to a preset monitoring time node; A single monitoring module includes: a thermocouple, a compensation wire and an IDAS module, wherein the thermocouple is used to collect the temperature value of the monitoring point; the compensation wire is used to connect the thermocouple and the IDAS module; and the IDAS module is used to connect the central control unit; The central control unit comprises: The first processing module is used to generate dust accumulation evaluation values ​​of each monitoring point according to all temperature values; The second processing module is used to determine whether to generate a soot blowing instruction according to all the dust accumulation evaluation values; A third processing module is used to generate a soot blowing strategy according to the soot blowing instruction; The first processing module is further used to establish a monitoring point sequence A, A=(a1, a2...ai...an), wherein ai is the ith monitoring point and n is the number of monitoring points.

8. The W-type flame boiler flame corner ash accumulation monitoring system according to claim 7, characterized in that: The first processing module is also used for: Setting a sampling period for the current monitoring time node, wherein the sampling period includes multiple time intervals; Establish a time interval sequence T, T = (t1, t2...ti...tm), where ti is the i-th time interval in the sampling period; m is the number of time intervals; According to the monitoring point sequence A, set ai as the target monitoring point in sequence; Generate a temperature value sequence B of the target monitoring point at the current monitoring time node, B = (b1, b2...bi...bm), where bi is the temperature value of the target monitoring point in the i-th time interval within the sampling period of the current monitoring time node; Generate a dust accumulation evaluation value c of the target monitoring point according to the temperature value series B of the target monitoring point; Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; e3 is the preset third weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; Q3 is the preset third fixed coefficient; b' is the standard temperature value of the target monitoring point; Δb is the average value of all data in the temperature value series B; Generate dust accumulation evaluation values ​​of each monitoring point at the current monitoring time node in sequence; A dust accumulation evaluation value sequence C of the current monitoring time node is established, C = (c1, c2...ci...cn), where ci is the dust accumulation evaluation value of the i-th monitoring point.

9. The W-type flame boiler flame angle ash accumulation monitoring system according to claim 8, characterized in that: The second processing module is also used for: Generate a soot blowing evaluation value d according to the soot accumulation evaluation value sequence C at the current monitoring time node; Among them, e4 is the preset fourth weight coefficient; e5 is the preset fifth weight coefficient; Q4 is the preset fourth fixed coefficient; Q5 is the preset fifth fixed coefficient; Δc is the average value of all data in the dust accumulation evaluation value series C; g is the compensation coefficient; Preset a first sootblowing evaluation value threshold D1 and a second sootblowing evaluation value threshold D2; If d<D1, no soot blowing instruction is generated; If D1≤d<D2, a first-level soot blowing instruction is generated, and the second processing module corrects the time interval between the current monitoring time node and the next monitoring time node according to the first-level soot blowing instruction; If d>D2, a secondary soot blowing instruction is generated, and the third processing module sets the soot blowing strategy according to the soot blowing evaluation value d at the current monitoring time node; Wherein, when the second processing module sets the compensation coefficient, it includes: Preset a first dust accumulation evaluation value threshold C1 and a second dust accumulation evaluation value threshold C2; If C1≤ci<C2, set the i-th monitoring point as a first-level monitoring point at the current monitoring time node; If ci ≥ C2, set the i-th monitoring point as a secondary monitoring point at the current monitoring time node; Get the number of first-level monitoring points n1 and second-level monitoring points n2 at the current monitoring time node; Generate a first reference evaluation value H1 according to the number n1 of first-level monitoring points; Generate a second reference evaluation value H2 according to the number of secondary monitoring points n2; Generate a compensation evaluation value k according to the first reference evaluation value H1 and the second reference evaluation value H2; k = r1 * H1 + r2 * H2; Wherein, r1 is the preset first weighting coefficient; r2 is the preset second weighting coefficient; The compensation coefficient g is set according to the compensation evaluation value k.

10. The W-type flame boiler flame corner ash accumulation monitoring system according to claim 9, characterized in that: The third processing module sets the soot blowing strategy according to the soot blowing evaluation value d at the current monitoring time node, including: According to the soot blowing evaluation value d, the initial soot blowing speed v and soot blowing duration of the current monitoring time node are set; Set multiple feedback time nodes according to the soot blowing duration, and generate the expected temperature change curve for each monitoring point; Obtain the real-time temperature value of each monitoring point according to the feedback time node, and determine whether to correct the initial soot blowing speed; Among them, when setting the initial soot blowing speed v of the current monitoring time node, it includes: Presetting a first sootblowing evaluation value interval (D2, D3) and a second sootblowing evaluation value interval (D3, D4); If the sootblowing evaluation value d is within the preset first sootblowing evaluation value interval, the initial sootblowing speed v is set to the preset first sootblowing speed V1, that is, v=V1; If the sootblowing evaluation value d is within the preset second sootblowing evaluation value interval, the initial sootblowing speed v is set to the preset second sootblowing speed V2, that is, v=V2; and V1<V2.

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