Assembling and overhauling method of positive pressure hearth heat preservation structure

Abstract

The invention relates to the technical field of positive pressure hearths, in particular to an assembling and overhauling method of a positive pressure hearth heat preservation structure. Comprising the steps of establishing an operation simulation model according to historical operation parameters of the positive pressure hearth; generating a first-stage assembly strategy according to the operation simulation model and equipment parameters of the positive pressure hearth, and setting a plurality of monitoring sub-areas according to the first-stage assembly strategy; and generating a loss evaluation value of each monitoring sub-region according to a preset monitoring period, and judging whether a maintenance instruction is generated or not according to all the loss evaluation values. The thermal insulation structure is improved, hot flue gas is blocked and prevented from scouring a thermal insulation layer by adopting a lining plate, a plurality of operation risk points are selected according to a preset simulation model, so that a plurality of initial assembly strategies are generated, a corresponding first-stage assembly strategy is selected according to an optimization processing result, the assembly efficiency of the thermal insulation structure is improved, and the assembly efficiency of the thermal insulation structure is improved. Meanwhile, the heat preservation efficiency of all operation risk points is guaranteed, and stable operation of the positive pressure hearth is guaranteed.

Description

Technical Field

[0001] The present application relates to the technical field of positive pressure furnace, and particularly to an assembly and maintenance method for the thermal insulation structure of a positive pressure furnace. Background Art

[0002] The boiler of a gas - steam combined cycle power generation unit adopts a natural circulation waste heat boiler, which belongs to a positive pressure boiler. The boiler roof adopts the design of internal thermal insulation and external protection plate. The thermal insulation layer is fixed by thermal insulation hook nails welded on the external protection plate of the roof, and the seams of the thermal insulation layer are reinforced by glue. After the thermal insulation installation is completed, a stainless steel hexagonal mesh is installed at the bottom layer, and the stainless steel hexagonal mesh is fixed by self - locking pressure plates installed on the hook nails.

[0003] During operation, the long - term blowing of hot flue gas causes the internal thermal insulation of the roof to gradually become loose, resulting in the increasing temperature of the external protection plate of the roof. In addition, due to the frequent start - stop of the unit, the external protection plate of the roof frequently bears thermal alternating stress, leading to surface cracking. The hot flue gas escapes from the sealing cracks of the roof, aggravating the failure of the internal thermal insulation, and further accelerating the fatigue cracking of the external protection plate of the roof. The highest surface temperature of the area exceeds 400°C. Summary of the Invention

[0004] The purpose of the present application is: to solve the above - mentioned technical problems, the present application provides an assembly and maintenance method for the thermal insulation structure of a positive pressure furnace, aiming to ensure the operation efficiency of the positive pressure furnace, improve the service life of the thermal insulation structure, and avoid the direct scouring of the thermal insulation layer by hot flue gas.

[0005] In some embodiments of the present application, by improving the thermal insulation structure, an inner lining plate is used to block the hot flue gas, preventing the hot flue gas from scouring the thermal insulation layer. Multiple operation risk points are selected according to a preset simulation model, and multiple initial assembly strategies are generated. According to the optimization result, the corresponding primary assembly strategy is selected, improving the assembly efficiency of the thermal insulation structure, and at the same time ensuring the thermal insulation efficiency of each operation risk point and ensuring the stable operation of the positive pressure furnace.

[0006] In some embodiments of the present application, by establishing multiple monitoring sub - regions, the loss state of the internal thermal insulation structure in the positive pressure furnace is monitored in real time, and early warnings are given to the potential risks of the thermal insulation structure in a timely manner, facilitating the management personnel to formulate maintenance plans, thereby ensuring the safe operation of the positive pressure furnace.

[0007] In some embodiments of the present application, an assembly and maintenance method for the thermal insulation structure of a positive pressure furnace is provided, including:

[0008] Establishing an operation simulation model according to the historical operation parameters of the positive pressure furnace;

[0009] Generating a primary assembly strategy according to the operation simulation model and the equipment parameters of the positive pressure furnace, and setting multiple monitoring sub - regions according to the primary assembly strategy;

[0010] Generate the loss evaluation values of each monitoring sub - region according to the preset monitoring period, and determine whether to generate a maintenance instruction based on all the loss evaluation values.

[0011] In some embodiments of the present application, when generating the assembly strategy according to the operation simulation model and the equipment parameters of the positive - pressure furnace, it includes:

[0012] Construct a three - dimensional furnace model according to the equipment parameters of the positive - pressure furnace;

[0013] Generate multiple operation risk points according to the operation simulation model;

[0014] Generate multiple initial assembly strategies according to all the operation risk points and the three - dimensional furnace model;

[0015] Establish an initial assembly strategy sequence B, B=(b1, b2…b i …b m ), where b i is the i - th initial assembly strategy; m is the number of initial assembly strategies;

[0016] Generate the construction evaluation values of each initial assembly strategy;

[0017] Establish a construction evaluation value sequence C, C=(c1, c2…c i …c m ), where c i is the construction evaluation value of the i - th initial assembly strategy;

[0018] Set the initial assembly strategy corresponding to the maximum value c max in the construction evaluation value sequence C as the first - level assembly strategy.

[0019] In some embodiments of the present application, when generating the construction evaluation values of each initial assembly strategy, it includes:

[0020] Successively set the i - th initial assembly strategy in the initial assembly strategy sequence B as the target initial assembly strategy according to the sequence;

[0021] Generate an assembly sub - region sequence A of the target initial assembly strategy, A=(a1, a2…a i …a n1 ), where a i is the i - th assembly sub - region in the target initial assembly strategy; n1 is the number of assembly sub - regions in the target initial assembly strategy;

[0022] Obtain the expected thermal insulation structure parameters of each assembly sub - region and generate the expected assembly cost of each assembly sub - region;

[0023] Generate the connection cost U according to the assembly sequence in the target initial assembly strategy;

[0024] Generate the construction evaluation value c of the target initial assembly strategy based on the connection cost and the expected assembly costs of all individual assembly sub-regions;

[0025] Generate the construction evaluation values of each initial assembly strategy in sequence.

[0026] In some embodiments of the present application, when generating the construction evaluation value c of the target initial assembly strategy, it includes:

[0027]

[0028] Wherein, e1 is a preset first weight coefficient; e2 is a preset second weight coefficient; e3 is a preset third weight coefficient; Q1 is a preset first fixed coefficient; Q2 is a preset second fixed coefficient; Q3 is a preset third fixed coefficient; ji is the expected assembly cost of the i-th assembly sub-region in the target initial assembly strategy; U is the expected connection cost; μi is the influence factor of the i-th operation risk point; ki is the operation reference value of the i-th operation risk point in the target initial assembly strategy; θ is the number of operation risk points.

[0029] In some embodiments of the present application, when setting multiple monitoring sub-regions according to the first-level assembly strategy, it includes:

[0030] Set each assembly sub-region in the first-level assembly strategy as a monitoring sub-region;

[0031] Establish a monitoring sub-region sequence D, D = (d1, d2…d i …d n ), where d i is the i-th monitoring sub-region, and n is the number of assembly sub-regions in the first-level assembly strategy.

[0032] In some embodiments of the present application, when generating the loss evaluation value of each monitoring sub-region according to the preset monitoring period, it includes:

[0033] Set the i-th monitoring sub-region as the target monitoring sub-region in sequence according to the monitoring sub-region sequence D;

[0034] Set multiple sampling nodes within the current monitoring period;

[0035] Obtain the temperature values of the target monitoring sub-region at each sampling node;

[0036] Establish a temperature value sequence T of the target monitoring sub-region in the current monitoring period at the end time node of the current monitoring period;

[0037] T = T = (t1, t2…ti…tr), where r is the number of sampling nodes within the current monitoring period; ti is the temperature value of the target monitoring sub-region at the i-th sampling node within the current monitoring period;

[0038] Obtain the furnace operation parameters within the current monitoring period;

[0039] Generate the loss evaluation value g of the target monitoring sub-region in the current monitoring period according to the furnace operation parameters and the temperature value sequence T;

[0040] Establish the loss evaluation value sequence G of the current monitoring period, G=(g1, g2…gi…gn), where gi is the loss evaluation value of the i-th monitoring sub-region in the current monitoring period.

[0041] In some embodiments of the present application, when generating the loss evaluation value g of the target monitoring sub-region in the current monitoring period, it includes:

[0042]

[0043] Among them, e8 is a preset third weight coefficient; e4 is a preset fourth weight coefficient; e5 is a preset fifth weight coefficient; Q8 is a preset third fixed coefficient; Q4 is a preset fourth fixed coefficient; Q5 is a preset fifth fixed coefficient; t1' is the average value of all data in the temperature value sequence T; t2' is the safe temperature value; w is the number of loss evaluation indicators; ηi is the influence factor of the i-th loss evaluation indicator; hi is the reference value of the i-th loss evaluation indicator of the target monitoring sub-region in the current monitoring period.

[0044] In some embodiments of the present application, when judging whether to generate a maintenance instruction according to all loss evaluation values, it includes:

[0045] Generate the maintenance evaluation value f of the current monitoring period according to the loss evaluation value sequence G of the current monitoring period;

[0046] Preset the first maintenance evaluation value threshold F1 and the second maintenance evaluation value threshold F2, and F1 < F2;

[0047] If f < F1, no maintenance instruction is generated;

[0048] If F1 ≤ f < F2, a first-level maintenance instruction is generated in the current monitoring period;

[0049] If f ≥ F2, a second-level maintenance instruction is generated in the current monitoring period.

[0050] In some embodiments of the present application, when generating the maintenance evaluation value f of the current monitoring period, it includes:

[0051]

[0052] Among them, e6 is a preset sixth weight coefficient; e7 is a preset seventh weight coefficient; Q6 is a preset sixth fixed coefficient; Q7 is a preset seventh fixed coefficient; g' is a preset loss evaluation value threshold; βi is the influence factor of the i-th monitoring sub-region.

[0053] Compared with the prior art, the assembly and maintenance method of a positive-pressure furnace lining thermal insulation structure in an embodiment of the present application has the beneficial effects that:

[0054] By improving the thermal insulation structure, using an inner lining plate to block hot flue gas, preventing the hot flue gas from scouring the thermal insulation layer, and selecting multiple operation risk points according to a preset simulation model, thereby generating multiple initial assembly strategies, and selecting corresponding primary assembly strategies according to the optimization processing results, the assembly efficiency of the thermal insulation structure is improved, and at the same time, the thermal insulation efficiency of each operation risk point is ensured, ensuring the stable operation of the positive-pressure furnace.

[0055] By establishing multiple monitoring sub-regions, the loss state of the thermal insulation structure in the positive-pressure furnace is monitored in real time, and potential risks of the thermal insulation structure are warned in time, facilitating the management personnel to formulate maintenance plans, thereby ensuring the safe operation of the positive-pressure furnace. Description of the Drawings

[0056] Figure 1 is a schematic flow chart of an assembly and maintenance method of a positive-pressure furnace lining thermal insulation structure in a preferred embodiment of an embodiment of the present application. Detailed Embodiments

[0057] The following further describes in detail the specific embodiments of the present application in conjunction with the drawings and embodiments. The following embodiments are used to illustrate the present application, but are not used to limit the scope of the present application.

[0058] In the description of the present application, it should be understood that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying 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 construed as limiting the present application.

[0059] The terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the present application, unless otherwise stated, the meaning of "a plurality" is two or more.

[0060] In the description of the present application, it should be noted that unless otherwise clearly specified and defined, the terms "installation", "connection", and "coupling" 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 an indirect connection through an intermediate medium, and it can be the communication inside two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific circumstances.

[0061] As Figure 1 shown, an assembly and maintenance method for a positive-pressure furnace hearth thermal insulation structure according to a preferred embodiment of an embodiment of the present application includes:

[0062] S101: Establish an operation simulation model based on the historical operation parameters of the positive-pressure furnace hearth;

[0063] S102: Generate a primary assembly strategy according to the operation simulation model and the equipment parameters of the positive-pressure furnace hearth, and set multiple monitoring sub-areas according to the primary assembly strategy;

[0064] S103: Generate a loss evaluation value for each monitoring sub-area according to a preset monitoring period, and determine whether to generate a maintenance instruction according to all the loss evaluation values.

[0065] Specifically, generate simulation data of the flue gas flow direction inside the furnace hearth according to the historical parameters of the positive-pressure furnace hearth, and construct an operation simulation model according to the simulation data of the flue gas flow direction.

[0066] Specifically, in order to prevent the hot flue gas from directly scouring the thermal insulation, an inner lining plate is used to block the hot flue gas, which can not only prevent the hot flue gas from scouring, but also play a role in heat insulation. The inner lining plate is installed above the furnace top header layer by welding in strict accordance with the direction of the hot flue gas flow to ensure an orderly installation process. Strictly control the elevation of the inner lining plate, which is 251 mm from the lower flange of the large plate beam, to ensure the flatness of the overall structure. Ensure that the position of the through-wall pipe has a certain concentricity, and the error should not be greater than 10 mm. The sealing plate of the through-wall pipe is placed above the inner lining plate and shall not be welded to the inner lining plate, and sealing treatment is carried out using materials such as sealant and gasket. The splicing of the inner lining plate adopts intermittent butt welding, which can fully absorb the thermal expansion amount. At the same time, pay attention to the overlap of the inner lining plate to ensure that the overlapping part is closely fitted without obvious gaps. The inner lining plate at the hanging position needs to be inserted into the stud at the bottom of the large plate beam.

[0067] All insulation layers cannot be directly scoured by flue gas and must be sealed with inner lining plates. It is strictly prohibited to have strip-shaped insulating cotton with a width less than 300 mm on a large-area insulation body. Insulation hooks are installed on the inner lining plate by welding. The pitch of the insulation grab nails is 300x300 mm, arranged in a staggered pattern. Ensure that the layout of the insulation grab nails is reasonable and can meet the strength requirements of the insulation layer. The installation of the insulation material should adopt the methods of staggering joints, pressing joints and squeezing joints to improve the insulation effect. The internal insulation of the first bin has a total of 6 layers, consisting of two specifications of insulation with thicknesses of 38 mm / 50 mm. The total thickness of the first bin is compressed to 260 mm. The internal insulation of the second bin has a total of 5 layers, consisting of two specifications of insulation with thicknesses of 38 mm / 50 mm. The total thickness is compressed to 200 mm. The self-locking pressure plates are arranged in a staggered pattern for each layer, and the insulation joints are reinforced with glue.

[0068] After the insulation installation is completed, the welding and installation work of the outer protection plate on the furnace top is carried out. The outer protection plate uses a material with a low expansion coefficient of 15crmo to reduce the deformation caused by thermal expansion.

[0069] Specifically, when generating an assembly strategy according to the operation simulation model and the equipment parameters of the positive-pressure furnace, it includes:

[0070] Construct a three-dimensional furnace model according to the equipment parameters of the positive-pressure furnace;

[0071] Generate multiple operation risk points according to the operation simulation model;

[0072] Generate multiple initial assembly strategies according to all operation risk points and the three-dimensional furnace model;

[0073] Establish an initial assembly strategy sequence B, B=(b1, b2…b i …b m ), where b i is the i-th initial assembly strategy; m is the number of initial assembly strategies;

[0074] Generate the construction evaluation values of each initial assembly strategy;

[0075] Establish a construction evaluation value sequence C, C=(c1, c2…c i …c m ), where c i is the construction evaluation value of the i-th initial assembly strategy;

[0076] Set the initial assembly strategy corresponding to the maximum value c max in the construction evaluation value sequence C as the first-level assembly strategy.

[0077] Specifically, the operation risk points are selected according to the simulation model at the points that are more affected by flue gas impact. Each operation risk point needs to be covered by the inner lining plate and cannot be in the middle of two inner lining plates.

[0078] Specifically, a single initial assembly strategy includes multiple assembly sub-regions, and a single assembly sub-region represents a lining board. Adjacent ones generate multiple initial assembly strategies by dividing multiple assembly sub-regions.

[0079] Specifically, when generating the construction evaluation value of each initial assembly strategy, it includes:

[0080] Set the i-th initial assembly strategy as the target initial assembly strategy in sequence according to the initial assembly strategy sequence B;

[0081] Generate the assembly sub-region sequence A of the target initial assembly strategy, A = (a1, a2...a i …a n1 ), where a i is the i-th assembly sub-region in the target initial assembly strategy; n1 is the number of assembly sub-regions in the target initial assembly strategy;

[0082] Obtain the expected heat preservation structure parameters of each assembly sub-region and generate the expected assembly cost of each assembly sub-region;

[0083] Generate the connection cost U according to the assembly sequence in the target initial assembly strategy;

[0084] Generate the construction evaluation value c of the target initial assembly strategy according to the connection cost and the expected assembly costs of all assembly sub-regions;

[0085] Generate the construction evaluation values of each initial assembly strategy in sequence.

[0086] Specifically, when generating the construction evaluation value c of the target initial assembly strategy, it includes:

[0087]

[0088] Among them, 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; ji is the expected assembly cost of the i-th assembly sub-region in the target initial assembly strategy; U is the expected connection cost; μi is the influence factor of the i-th operation risk point; ki is the operation reference value of the i-th operation risk point in the target initial assembly strategy; θ is the number of operation risk points.

[0089] Specifically, normalize all the parameters in the model through the preset first fixed coefficient, second fixed coefficient and third fixed coefficient, so that each parameter in the model is within the same value range.

[0090] Specifically, the expected assembly cost of each assembly sub-region can be set according to the heat insulation material used in this assembly region, the area of the inner lining board, and the cost of the outer protection board. The expected connection cost can be set according to the connection construction cost between each assembly sub-region. The closer the Euclidean distance between the operation risk point and the center point of the corresponding assembly sub-region is, the greater the corresponding operation reference value is.

[0091] It can be understood that in the above embodiments, by optimizing multiple initial assembly strategies, the best assembly strategy is selected by comprehensively considering the construction cost and the later benefits, so as to improve the assembly efficiency of the heat insulation structure, and at the same time ensure the heat insulation efficiency of each operation risk point and ensure the stable operation of the positive pressure furnace chamber.

[0092] In the preferred embodiment of the embodiment of the present application, when setting multiple monitoring sub-regions according to the primary assembly strategy, it includes:

[0093] Setting each assembly sub-region in the primary assembly strategy as a monitoring sub-region;

[0094] Establishing a monitoring sub-region sequence D, D=(d1, d2…d i …d n ), where d i is the i-th monitoring sub-region, and n is the number of assembly sub-regions in the primary assembly strategy.

[0095] Specifically, when the assembly of the heat insulation structure is completed, multiple monitoring sub-regions are set according to the original assembly sub-regions, and the temperature data of each monitoring sub-region is monitored by setting multiple temperature sensors.

[0096] Specifically, when generating the loss evaluation value of each monitoring sub-region according to the preset monitoring period, it includes:

[0097] Successively setting the i-th monitoring sub-region as the target monitoring sub-region according to the monitoring sub-region sequence D;

[0098] Setting multiple sampling nodes within the current monitoring period;

[0099] Obtaining the temperature values of the target monitoring sub-region at each sampling node;

[0100] Establishing a temperature value sequence T of the target monitoring sub-region at the end time node of the current monitoring period within the current monitoring period;

[0101] T=T=(t1, t2…ti…tr), where r is the number of sampling nodes within the current monitoring period; ti is the temperature value of the target monitoring sub-region at the i-th sampling node within the current monitoring period;

[0102] Obtaining the furnace chamber operation parameters within the current monitoring period;

[0103] Generate the loss evaluation value g of the target monitoring sub-region in the current monitoring period according to the furnace operation parameters and the temperature value sequence T;

[0104] Establish a loss evaluation value sequence G for the current monitoring period, G=(g1, g2...gi...gn), where gi is the loss evaluation value of the i-th monitoring sub-region in the current monitoring period.

[0105] Specifically, when generating the loss evaluation value g of the target monitoring sub-region in the current monitoring period, it includes:

[0106]

[0107] Among them, e8 is a preset third weight coefficient; e4 is a preset fourth weight coefficient; e5 is a preset fifth weight coefficient; Q8 is a preset third fixed coefficient; Q4 is a preset fourth fixed coefficient; Q5 is a preset fifth fixed coefficient; t1' is the average value of all data in the temperature value sequence T; t2' is the safe temperature value; w is the number of loss evaluation indicators; ηi is the influence factor of the i-th loss evaluation indicator; hi is the reference value of the i-th loss evaluation indicator of the target monitoring sub-region in the current monitoring period.

[0108] Specifically, through the preset fourth fixed coefficient, fifth fixed coefficient and eighth fixed coefficient, all parameters in the model are normalized, so that each parameter is within the same value range.

[0109] Specifically, the loss evaluation indicators include but are not limited to generating the flue gas impact parameters, unit start-stop frequency and other parameters of each monitoring sub-region according to the flue gas simulation data of the current monitoring period.

[0110] Specifically, the larger the loss evaluation value, the greater the possibility of heat preservation structure loss in the corresponding monitoring sub-region.

[0111] It can be understood that in the above embodiments, by establishing multiple monitoring sub-regions, the loss state of the heat preservation structure in the positive-pressure furnace is monitored in real time, and the potential risks of the heat preservation structure are warned in time, which is convenient for the management personnel to formulate maintenance plans, so as to ensure the safe operation of the positive-pressure furnace.

[0112] In the preferred embodiment of the present application, when judging whether to generate a maintenance instruction according to all loss evaluation values, it includes:

[0113] Generate the maintenance evaluation value f of the current monitoring period according to the loss evaluation value sequence G of the current monitoring period;

[0114] Preset a first maintenance evaluation value threshold F1 and a second maintenance evaluation value threshold F2, and F1 < F2;

[0115] If f < F1, no maintenance instruction is generated;

[0116] If F1 ≤ f < F2, a first-level maintenance instruction is generated in the current monitoring period;

[0117] If f ≥ F2, a second-level maintenance instruction is generated in the current monitoring period.

[0118] Specifically, the first-level maintenance instruction means that there may be abnormal wear positions inside the current furnace, and during the inspection tour, key maintenance is required for each abnormal monitoring sub-region. The second-level maintenance instruction means that there are abnormal operations inside the current furnace, and immediate shutdown for maintenance is required. To avoid operating failures and ensure the safe operation of the positive-pressure furnace.

[0119] Specifically, when generating the maintenance evaluation value f for the current monitoring period, it includes:

[0120]

[0121] Among them, e6 is a preset sixth weight coefficient; e7 is a preset seventh weight coefficient; Q6 is a preset sixth fixed coefficient; Q7 is a preset seventh fixed coefficient; g' is a preset loss evaluation value threshold; βi is the influence factor of the i-th monitoring sub-region.

[0122] Specifically, all parameters in the model are normalized by the preset sixth fixed coefficient and seventh fixed coefficient, so that each parameter is within the same value range.

[0123] According to the first concept of the present application, by improving the thermal insulation structure, using a lining plate to block the hot flue gas, preventing the hot flue gas from scouring the thermal insulation layer, and selecting multiple operation risk points according to the preset simulation model, multiple initial assembly strategies are generated, and the corresponding first-level assembly strategy is selected according to the optimization result, improving the assembly efficiency of the thermal insulation structure, while ensuring the thermal insulation efficiency of each operation risk point and ensuring the stable operation of the positive-pressure furnace.

[0124] According to the second concept of the present application, by establishing multiple monitoring sub-regions, the loss state of the thermal insulation structure inside the positive-pressure furnace is monitored in real time, and potential risks of the thermal insulation structure are warned in time, facilitating the management personnel to formulate a maintenance plan, thereby ensuring the safe operation of the positive-pressure furnace.

[0125] The above are only the preferred embodiments of the present application. It should be noted that for those of ordinary skill in the art, without departing from the technical principle of the present application, several improvements and replacements can still be made, and these improvements and replacements should also be regarded as the protection scope of the present application.

Claims

1. A method for assembling and repairing a positive pressure furnace insulation structure, characterized in that: include: Establish an operation simulation model based on the historical operation parameters of the positive pressure furnace; Generate a first-level assembly strategy based on the running simulation model and the equipment parameters of the positive pressure furnace, and set multiple monitoring sub-areas based on the first-level assembly strategy; The loss evaluation value of each monitoring sub-area is generated according to the preset monitoring cycle, and it is determined whether to generate a maintenance instruction based on all the loss evaluation values.

2. The assembly and maintenance method of the positive pressure furnace insulation structure according to claim 1, characterized in that: When generating an assembly strategy based on the simulation model and the equipment parameters of the positive pressure furnace, it includes: Construct a three-dimensional furnace model based on the equipment parameters of the positive pressure furnace; Generate multiple operation risk points based on the operation simulation model; Generate multiple initial assembly strategies based on all operational risk points and the furnace 3D model; Establish the initial assembly strategy sequence B, B = (b1, b2…b i …b m ), where b i is the i-th initial assembly strategy; m is the number of initial assembly strategies; Generate construction evaluation values ​​for each initial assembly strategy; Establish a construction evaluation value sequence C, C = (c1, c2...c i …c m ), where c i is the construction evaluation value of the i-th initial assembly strategy; Set the maximum value c in the construction evaluation value sequence C max The corresponding initial assembly strategy is the first-level assembly strategy.

3. The assembly and maintenance method of the positive pressure furnace insulation structure according to claim 2, characterized in that: When generating the construction evaluation values ​​for each initial assembly strategy, it includes: According to the initial assembly strategy sequence B, the i-th initial assembly strategy is set as the target initial assembly strategy; Generate the assembly sub-area sequence A of the target initial assembly strategy, A = (a1, a2…a i …a n1 ), where a i is the i-th assembly sub-area in the target initial assembly strategy; n1 is the number of assembly sub-areas in the target initial assembly strategy; Obtaining expected insulation structural parameters of each assembly sub-area, and generating expected assembly costs of each assembly sub-area; Generate a connection cost U according to the assembly sequence in the target initial assembly strategy; Generate a construction evaluation value c of the target initial assembly strategy according to the connection cost and the expected assembly cost of all the assembly sub-areas; The construction evaluation value of each initial assembly strategy is generated in turn.

4. The assembly and maintenance method of the positive pressure furnace insulation structure according to claim 3, characterized in that: When generating the construction evaluation value c of the target initial assembly strategy, it includes: Among them, 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; ji is the expected assembly cost of the i-th assembly sub-area in the target initial assembly strategy; U is the expected connection cost; μi is the influencing factor of the i-th operation risk point; ki is the operation reference value of the i-th operation risk point in the target initial assembly strategy; θ is the number of operation risk points.

5. The assembly and maintenance method of the positive pressure furnace insulation structure according to claim 2, characterized in that: When multiple monitoring sub-areas are set according to the first-level assembly strategy, they include: Set each assembly sub-area in the first-level assembly strategy as a monitoring sub-area; Establish a monitoring sub-area sequence D, D = (d1, d2...d i …d n ), where d i is the ith monitoring sub-region, and n is the number of assembly sub-regions in the first-level assembly strategy.

6. The assembly and maintenance method of the positive pressure furnace insulation structure according to claim 5, characterized in that: When the loss evaluation value of each monitoring sub-area is generated according to the preset monitoring cycle, it includes: According to the monitoring sub-area sequence D, the i-th monitoring sub-area is set as the target monitoring sub-area in sequence; Set multiple sampling nodes in the current monitoring cycle; Obtain the temperature value of the target monitoring sub-area at each sampling node; At the end time node of the current monitoring cycle, a temperature value series T of the target monitoring sub-area in the current monitoring cycle is established; T = T = (t1, t2…ti…tr), where r is the number of sampling nodes in the current monitoring cycle; ti is the temperature value of the i-th sampling node in the target monitoring sub-area in the current monitoring cycle; Obtain furnace operation parameters within the current monitoring period; Generate the loss evaluation value g of the target monitoring sub-area in the current monitoring cycle according to the furnace operation parameters and temperature value series T; A loss evaluation value sequence G of the current monitoring period is established, G = (g1, g2...gi...gn), where gi is the loss evaluation value of the i-th monitoring sub-area in the current monitoring period.

7. The assembly and maintenance method of the positive pressure furnace insulation structure according to claim 6, characterized in that: When generating the loss evaluation value g of the target monitoring sub-area in the current monitoring period, it includes: Among them, e8 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; e5 is the preset fifth weight coefficient; Q8 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; Q5 is the preset fifth fixed coefficient; t1' is the average value of all data in the temperature value series T; t2' is the safe temperature value; w is the number of loss evaluation indicators; ηi is the influencing factor of the i-th loss evaluation indicator; hi is the reference value of the i-th loss evaluation indicator of the target monitoring sub-area in the current monitoring cycle.

8. The assembly and maintenance method of the positive pressure furnace insulation structure according to claim 6, characterized in that: When judging whether to generate a maintenance instruction based on the total loss evaluation value, it includes: Generate the maintenance evaluation value f of the current monitoring period according to the loss evaluation value sequence G of the current monitoring period; A first maintenance evaluation value threshold F1 and a second maintenance evaluation value threshold F2 are preset, and F1<F2; If f<F1, no maintenance instruction is generated; If F1≤f<F2, the first-level maintenance instruction is generated in the current monitoring cycle; If f≥F2, a secondary maintenance instruction is generated in the current monitoring cycle.

9. The assembly and maintenance method of the positive pressure furnace insulation structure according to claim 8, characterized in that: When generating the maintenance evaluation value f of the current monitoring cycle, it includes: Among them, e6 is the preset sixth weight coefficient; e7 is the preset seventh weight coefficient; Q6 is the preset sixth fixed coefficient; Q7 is the preset seventh fixed coefficient; g' is the preset loss evaluation value threshold; βi is the influencing factor of the i-th monitoring sub-area.

Images