A method and system for optimizing the structure of a vertical curing bin based on an energy consumption rate curve

Abstract

The present invention discloses a method and system for optimizing the structure of a vertical curing bin based on an energy consumption rate curve, the method comprising the following steps: optimizing the vertical curing bin structure to be optimized based on a pre-constructed energy consumption rate curve model to obtain the optimized vertical curing bin structure. Specifically, the present invention proposes a method for optimizing the structure of a vertical curing bin based on an energy consumption rate curve that takes into account energy saving and consumption reduction and internal flow field optimization, with respect to the problems of uneven temperature distribution and energy loss in the curing bin. The energy consumption rate curve is established through a heat transfer model and a fluid flow model to optimize the curing bin structure, thereby achieving the purpose of improving production efficiency while reducing energy loss, achieving quality improvement and energy reduction of prefabricated concrete components, and having important theoretical significance and engineering application value for achieving the dual carbon goals in the field of prefabricated buildings.

Description

Technical Field

[0001] The present invention belongs to the technical field of prefabricated buildings, relates to the field of vertical curing bin structure design, and particularly to a vertical curing bin structure optimization method and system based on an energy consumption rate curve. Background Art

[0002] Large-scale precast concrete (PC) vertical curing kiln is a key equipment that affects the production quality and energy loss of PC components in the field of prefabricated buildings. The vertical curing bin is the basic working unit of the curing kiln. On the PC component production line, the precast concrete components go through four process stages of "stationary stop, heating, constant temperature, and cooling" in the curing bin, and can meet the quality requirements more quickly.

[0003] The current maintenance systems of maintenance equipment mainly include hot air maintenance and steam curing. Steam maintenance has become the mainstream due to its easy operation and good robustness. Steam maintenance equipment mainly includes three types of structures: maintenance pits, tunnel-type maintenance kilns and vertical maintenance kilns. The maintenance pits have good thermal insulation, but low continuous productivity and low automation. The tunnel-type maintenance warehouse meets the needs of automated continuous production, but increases the floor space. The vertical maintenance kiln has a high degree of automation, high productivity and a small floor space, but the traditional maintenance warehouse is a flat-top multi-right-angle structure. The mixed fluid micro-groups composed of water vapor and air will deform after touching the wall, and it is easy to produce corner vortex phenomenon at the angle, which is not conducive to the effective circulation of the internal fluid, resulting in uneven temperature distribution inside the maintenance warehouse. Affected by thermal buoyancy, the temperature at the top of the maintenance warehouse is higher than that at the bottom, resulting in uneven temperature distribution and poor maintenance quality.

[0004] At present, the research on improving the quality and reducing consumption of curing silos is mostly focused on reducing steam leakage, improving concrete mix ratio, improving curing technology, etc., and there is little research on optimizing the structure of the curing silo. Summary of the invention

[0005] The purpose of the present invention is to provide a method and system for optimizing the structure of a vertical curing bin based on an energy consumption rate curve to solve one or more of the above-mentioned technical problems. The method provided by the present invention can be used to optimize the design of the curing bin structure and solve the problems of uneven temperature distribution and energy loss commonly found in existing vertical curing bin structures.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] The present invention provides a method for optimizing the structure of a vertical curing bin based on an energy consumption rate curve, comprising the following steps:

[0008] Based on the pre-built energy consumption rate curve model, the vertical curing bin structure to be optimized is optimized to obtain the optimized vertical curing bin structure;

[0009] Wherein, the expression of the pre-built energy consumption rate curve model is:

[0010]

[0011] Where x(t) means x is a function of the independent variable t, y(t) means y is a function of the independent variable t, t is the parameter, α is the curvature coefficient, β is the scale coefficient, C1 is the translation coefficient along the x-axis, and C2 is the translation coefficient along the y-axis.

[0012] A further improvement of the method of the present invention is that the step of constructing the pre-constructed energy consumption rate curve model comprises:

[0013] The heat transfer mathematical model related to the structure is established, and the expression is:

[0014]

[0015] In the formula, Φ represents the total heat flow through a point on the isothermal surface, “-” represents the direction, n represents the direction along the nth direction, including three directions: x, y, and z, and q n represents the heat flux along the nth direction, A n represents the actual heat transfer surface area along the nth direction, λ represents the thermal conductivity, T represents the temperature, i, j, k represent the direction vectors in three directions in space, θ1, θ2, θ3 represent the angles between the actual heat transfer surfaces and the value range is θ1, θ2, θ3∈(0,π];

[0016] The mathematical model of fluid flow related to the structure is established and expressed as,

[0017]

[0018] Where V r2 is the flow velocity vector of the fluid particle along the wall, V z1 is the velocity vector in the streamline direction, θ is the angle between the streamline direction and the wall;

[0019] The pre-constructed energy consumption rate curve model is obtained based on a heat transfer mathematical model associated with the structure and a fluid flow mathematical model associated with the structure.

[0020] A further improvement of the method of the present invention is that, in the process of optimizing the vertical curing bin structure to be optimized based on the pre-built energy consumption rate curve model,

[0021] By adjusting the curvature coefficient α, different biased selections of heat loss and kinetic energy loss of the vertical curing bin structure to be optimized can be achieved; when the emphasis is placed on reducing heat loss, the value of the curvature coefficient α is reduced; when the emphasis is placed on reducing kinetic energy loss, the value of the curvature coefficient α is increased.

[0022] A further improvement of the method of the present invention is that, in the process of optimizing the vertical curing bin structure to be optimized based on the pre-built energy consumption rate curve model,

[0023] The span between the two walls of the vertical curing bin structure to be optimized is L, then The energy consumption rate curve is applied to the vertical curing chamber structure with a two-wall width of L through the scale coefficient β.

[0024] A further improvement of the method of the present invention is that, in the process of optimizing the vertical curing bin structure to be optimized based on the pre-built energy consumption rate curve model,

[0025] When a three-dimensional model of the vertical curing bin structure is established for numerical simulation to find the optimal curvature coefficient solution, the solution is obtained by adjusting the values ​​of α, β, C1, and C2.

[0026] The present invention provides a vertical curing bin structure optimization system based on an energy consumption rate curve, comprising:

[0027] An optimization module is used to optimize the vertical curing bin structure to be optimized based on a pre-built energy consumption rate curve model to obtain an optimized vertical curing bin structure;

[0028] Wherein, the expression of the pre-built energy consumption rate curve model is:

[0029]

[0030] Where x(t) means x is a function of the independent variable t, y(t) means y is a function of the independent variable t, t is the parameter, α is the curvature coefficient, β is the scale coefficient, C1 is the translation coefficient along the x-axis, and C2 is the translation coefficient along the y-axis.

[0031] A further improvement of the system of the present invention is that the steps of constructing the pre-constructed energy consumption rate curve model include:

[0032] The heat transfer mathematical model related to the structure is established, and the expression is:

[0033]

[0034] In the formula, Φ represents the total heat flow through a point on the isothermal surface, “-” represents the direction, n represents the direction along the nth direction, including three directions: x, y, and z, and q n represents the heat flux along the nth direction, A n represents the actual heat transfer surface area along the nth direction, λ represents the thermal conductivity, T represents the temperature, i, j, k represent the direction vectors in three directions in space, θ1, θ2, θ3 represent the angles between the actual heat transfer surfaces and the value range is θ1, θ2, θ3∈(0,π];

[0035] The mathematical model of fluid flow related to the structure is established and expressed as,

[0036]

[0037] Where V r2 is the flow velocity vector of the fluid particle along the wall, V z1 is the velocity vector in the streamline direction, θ is the angle between the streamline direction and the wall;

[0038] The pre-constructed energy consumption rate curve model is obtained based on a heat transfer mathematical model associated with the structure and a fluid flow mathematical model associated with the structure.

[0039] A further improvement of the system of the present invention is that, in the process of optimizing the vertical curing bin structure to be optimized based on the pre-built energy consumption rate curve model,

[0040] By adjusting the curvature coefficient α, different biased selections of heat loss and kinetic energy loss of the vertical curing bin structure to be optimized can be achieved; when the emphasis is placed on reducing heat loss, the value of the curvature coefficient α is reduced; when the emphasis is placed on reducing kinetic energy loss, the value of the curvature coefficient α is increased.

[0041] A further improvement of the system of the present invention is that, in the process of optimizing the vertical curing bin structure to be optimized based on the pre-built energy consumption rate curve model,

[0042] The span between the two walls of the vertical curing bin structure to be optimized is L, then The energy consumption rate curve is applied to the vertical curing chamber structure with a two-wall width of L through the scale coefficient β.

[0043] A further improvement of the system of the present invention is that, in the process of optimizing the vertical curing bin structure to be optimized based on the pre-built energy consumption rate curve model,

[0044] When a three-dimensional model of the vertical curing bin structure is established for numerical simulation to find the optimal curvature coefficient solution, the solution is obtained by adjusting the values ​​of α, β, C1, and C2.

[0045] Compared with the prior art, the present invention has the following beneficial effects:

[0046] In response to the problems of uneven temperature distribution and energy loss in the curing bin, the present invention proposes a vertical curing bin structure optimization method based on an energy consumption rate curve that takes into account energy saving and consumption reduction and internal flow field optimization. An energy consumption rate curve is established through a heat transfer model and a fluid flow model to optimize the curing bin structure, thereby achieving the purpose of improving production efficiency while reducing energy loss, achieving quality improvement and energy reduction of precast concrete components, and having important theoretical significance and engineering application value for achieving the dual carbon goals in the field of prefabricated buildings. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art; obviously, the drawings described below are some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0048] Figure 1 It is a flow chart of a method for optimizing the structure of a vertical curing bin based on an energy consumption rate curve according to an embodiment of the present invention;

[0049] Figure 2 is a schematic diagram of a three-dimensional surface heat transfer model in an embodiment of the present invention;

[0050] Figure 3 is a schematic diagram of a heat transfer control surface in an embodiment of the present invention;

[0051] Figure 4 is a schematic diagram of a deformation model of a fluid micro-group before and after contacting a wall in an embodiment of the present invention;

[0052] Figure 5 1 is a schematic diagram of energy consumption rate curves of three curvature coefficients in an embodiment of the present invention;

[0053] Figure 6 is a schematic diagram of the curing bin structure using the energy consumption rate curve optimization in an embodiment of the present invention, wherein: Figure 6 (a) is a schematic diagram when the curvature coefficient is 0. Figure 6 (b) is a schematic diagram when the curvature coefficient is 0.5. Figure 6 (c) is a schematic diagram when the curvature coefficient is 1;

[0054] Figure 7 is a schematic diagram of a curve showing a change in average temperature of a mixed fluid over time in an embodiment of the present invention;

[0055] Figure 8 1 is a schematic diagram of the average temperature difference after the curing bin structure is optimized in an embodiment of the present invention;

[0056] Fig. 9It is a dimensionless schematic diagram of the flow rate of the mixed fluid inside the curing bin before and after structural optimization in an embodiment of the present invention. DETAILED DESCRIPTION

[0057] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0058] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0059] The present invention is further described in detail below in conjunction with the accompanying drawings:

[0060] See also Figure 1 A method for optimizing the structure of a vertical curing bin based on an energy consumption rate curve according to an embodiment of the present invention comprises the following steps:

[0061] Step (1), establish a heat transfer mathematical model related to the structure:

[0062] When the curing chamber is working, it is filled with a mixed fluid composed of water vapor and air. Convection heat transfer is mainly used inside the curing chamber, and heat is dissipated to the outside in the form of heat conduction at the wall of the curing chamber.

[0063] When analyzing the convection heat transfer inside the curing chamber, it is assumed that the convection heat transfer is a heat conduction problem of multiple internal heat sources, and the temperature gradient between the internal heat sources and each heat transfer surface is the same. Based on the premise assumption, it can be established Figure 2The convective heat transfer model shown in the figure assumes that there is an internal heat source O in a three-dimensional space. The temperature difference drives the internal heat source to exchange heat with the outside atmosphere through the three surfaces ABC, ABD and ACD. According to Fourier's law, when the temperature difference is the same, the physical properties of the object itself and the contact area can affect the heat transfer. By studying the influence of structural factors on heat transfer, a wall heat transfer mathematical model related to the curing warehouse structure is established. According to Fourier's law, the total heat flow in three directions is:

[0064]

[0065] In the formula, Φ represents the total heat flow through a point on the isothermal surface, n represents the direction along the nth direction, and “-” represents the direction, which is x, y, and z. n represents the heat flux along the nth direction, A n represents the actual heat transfer surface area along the nth direction, λ represents the thermal conductivity, T represents the temperature, and i, j, k represent the direction vector.

[0066] In the heat transfer problem of the curing chamber, it is assumed that a heat transfer control body consisting of a virtual heat inflow surface and an actual heat outflow surface is Figure 3 The heat flow flows into the control volume PRQ from the virtual heat inflow surface PQ, and flows out from the two actual heat outflow surfaces PR and RQ with an included angle of θ. The relationship between the inflow and outflow areas can be expressed as:

[0067]

[0068] Where RQ and PR are the actual heat outflow surfaces of the heat transfer control body, PQ is the virtual heat inflow surface, and θ is the angle between the actual heat outflow surfaces of the control body;

[0069] Finally, the heat transfer mathematical model related to the wall structure of the curing chamber can be obtained:

[0070]

[0071] In the formula, Φ represents the total heat flow through a point on the isothermal surface, n represents the direction along the nth direction, and “-” represents the direction, which is x, y, and z. n represents the heat flux along the nth direction, A n represents the actual heat transfer surface area along the nth direction, λ represents the thermal conductivity, PQ represents the virtual heat transfer surface area, T represents the temperature, i, j, k represent the direction vectors, θ1, θ2, θ3 represent the angles between the actual heat transfer surfaces, and θ∈(0,π].

[0072] The model of the present invention can link the heat transfer model with the structural shape of the wall of the curing bin through the three parameters θ1, θ2, and θ3, and provide guidance for its optimization; the angle values ​​formed by the three planes of a certain wall corner are θ1, θ2, and θ3. When the angle tends to be a flat angle, the heat flow of the wall structure of the curing bin to the outside is the smallest, that is, the heat loss is the smallest.

[0073] According to the established mathematical model of heat transfer on the wall of the curing chamber (3), it can be analyzed that under the conditions of the same thermal conductivity, temperature difference and heat dissipation surface area, the actual wall heat flow can be changed by changing the angles θ1, θ2, θ3 between the heat dissipation surfaces.

[0074] Since the angles θ1, θ2, and θ3 between the walls of the traditional curing bin structure are all 90°, based on the heat transfer mathematical model established related to the curing bin structure, the curing bin structure is optimized by increasing the angle of the curing bin wall to reduce the heat flow, thereby achieving the purpose of reducing the heat loss of the curing bin.

[0075] Step (2) Establishing a mathematical model of fluid flow related to the structure:

[0076] The flow of a mixed fluid composed of water vapor and air can affect the uniformity of temperature and humidity distribution inside the curing chamber, reduce kinetic energy loss, and improve the uniformity of flow field distribution, which is conducive to achieving quality improvement and consumption reduction.

[0077] The mixed fluid in the curing chamber moves under the action of wind pressure. The flow velocity and direction of the fluid particles change after contacting the wall. Corner vortices with small velocity pulsation are easily formed at the corners, causing heat flow to gather at the corners of the top of the curing chamber, resulting in heat and kinetic energy loss. The relationship between the fluid flow inside the curing chamber and the curing chamber structure is analyzed by combining the divergence term of the Navier-Stokes equation, such as Figure 4 As shown in the figure, suppose a fluid micro-group, set its height to dz and bottom area to dA. The fluid micro-group moves under wind pressure, and the angle between the streamline and the wall is θ. When the micro-group reaches the wall, it deforms. According to the Navier-Stokes equation:

[0078]

[0079] Where V is the velocity vector, t is the time, is the divergence, f is the volume force, ρ is the fluid density, p is the pressure, and μ is the dynamic viscosity;

[0080] The following derivation is made for the divergence term, assuming that the axial velocity of the fluid when it flows in is V z1 The vertical wall velocity after decomposition is:

[0081]

[0082] Where V z1is the velocity vector in the streamline direction, V z2 is the velocity vector component perpendicular to the wall, θ is the angle between the streamline direction and the wall;

[0083] Velocity along the wall V r2 By the inflow velocity V z1 The velocity change is composed of two parts: one component of the velocity change caused by the radial deformation of the fluid micro-group after it contacts the wall. According to the law of conservation of momentum, the displacement of the vertical surface is proportional to the displacement along the wall. After the time derivative, the value is 2 times, so the equation can be obtained:

[0084]

[0085] Where V r2 is the flow velocity vector of the fluid particle along the wall, V z1 is the velocity vector in the streamline direction, θ is the angle between the streamline direction and the wall;

[0086] Considering it as an increment, the vector relationship between the phase velocity along the wall and the inflow velocity of the fluid flow is:

[0087]

[0088] Where V r2 is the flow velocity vector of the fluid particle along the wall, V z1 is the velocity vector in the streamline direction, and θ is the angle between the streamline direction and the wall.

[0089] θ is the angle between the streamline direction of the fluid micro-group and the wall of the curing chamber, which is related to the structural shape of the curing chamber. Based on this model, the structural optimization guidance of the curing chamber is provided. There is a correlation between the change in the velocity of the fluid micro-group before and after contacting the wall and the wall structure. By adjusting the value of θ, the kinetic energy loss of the mixed fluid in the curing chamber can be improved.

[0090] Step (3), establish energy consumption rate curve model:

[0091] According to the established mathematical model (3), when θ approaches 180°, the heat flux through the surface is the smallest, and vice versa. When the angle of the heat dissipation surface approaches 180°, it can be regarded as an arc, that is, the heat dissipation is smaller under the same volume. From the perspective of heat preservation, the heat preservation of a circle is better, and its mathematical expression is:

[0092]

[0093] Where x(t) means x is a function with respect to the independent variable t, y(t) means y is a function with respect to the independent variable t, r is the radius of the circle in the parametric equation, t is the parameter, a is the unit of translation along the x-axis, and b is the unit of translation along the y-axis;

[0094] Analyzing the mathematical model of fluid flow inside the curing chamber (7), it can be seen that the relationship between the inflow velocity and the outflow velocity is related to the angle between the streamline and the wall surface, and when V z1 When is a constant, the fastest descent line can be derived, that is:

[0095]

[0096] In the formula, x(t) means x is a function with respect to the independent variable t, y(t) means y is a function with respect to the independent variable t, r is the radius of the rotation circle of the brachistochrone in the parametric equation, t is the parameter, a is the distance translated along the x-axis, and b is the distance translated along the y-axis;

[0097] According to formula (7), when the ratio of the outflow velocity to the angle at a certain position is a constant, the curve can be deduced from the formula as the brachistocentre, that is, the fastest path curve to a certain point is the brachistocentre formula (9). In more extensive engineering, it is usually necessary to consider both thermal insulation and the fluidity of convective heat transfer at the same time, ignoring the constant term of the curve's translation along the axis, and the energy consumption rate curve expression can be derived:

[0098]

[0099] In the formula, x(t) means x is a function of the independent variable t, y(t) means y is a function of the independent variable t, α is the curvature variation coefficient of the curve, β is the lateral scale variation coefficient of the curve, and t is the parameter;

[0100] Considering a wider range of translation characteristics, we can obtain:

[0101]

[0102] Where x(t) means x is a function of the independent variable t, y(t) means y is a function of the independent variable t, t is a parameter, parameter t∈[0,2π], α is the curvature coefficient, β is the scale coefficient, C1 is the translation coefficient along the x-axis, and C2 is the translation coefficient along the y-axis.

[0103] The curvature coefficient α of the energy consumption rate curve can adjust the curvature of the curve. When α∈[0,0.5], the curvature variation range is small. When α=0, the curvature is a constant value and the curve degenerates into an arc. When α∈(0.5,1], the curvature variation range is large. When α=1, the curve degenerates into the fastest descent line. The scale coefficient β can adjust the span of the curve. In practical applications, assuming that the span of the two walls of the curing bin is L, then C1 and C2 are the translation coefficients along the x-axis and y-axis respectively. The values ​​of α and β can affect the shape of the energy consumption rate curve. Three different curvature coefficients, α = 0, α = 1 at the two end points and α = 0.5 in the middle, are compared and analyzed. Figure 5Shown is a comparison of energy consumption rate curves of three curvature coefficients when the scale coefficient β=1.

[0104] When optimizing the curing bin structure, the energy consumption rate curve can be used to adjust the curvature coefficient α to achieve different biased selections of heat loss and kinetic energy loss of the curing bin. When focusing on reducing heat loss, the value of the curvature coefficient α can be reduced, and when focusing on reducing kinetic energy loss, the value of the curvature coefficient α can be increased. The energy consumption rate curve can be applied to the curing bin structure with two walls of width L. When it is necessary to establish a three-dimensional model of the curing bin for numerical simulation to find the optimal curvature coefficient solution, the translation coefficients C1 and C2 values ​​can be adjusted to meet the modern design method of parametric modeling.

[0105] A specific embodiment of the present invention: a single curing unit of a 10-row, 10-layer curing bin in a precast concrete component production plant is taken as the research object, combined with the curing process of precast concrete components. It is 8.8m long, 5m wide, 7.958m high, and has a volume of 350.152m3; the finned radiator is 7m long and 2.9m wide, located at the bottom of the curing bin to heat the curing medium in the kiln; 32 steam spray holes with a diameter of 5mm, 400mm apart, are evenly distributed at 65% height on both sides of the curing bin, and the steam temperature is 180℃ and the humidity is 95%, which heats and humidifies the air in the bin; 3 SFG2-2 type high temperature resistant, oil-proof and moisture-proof axial flow fans are arranged 1.3m from the ground at the end of the bin to blow air vertically upward; the density of the cured composite board studied is 2500kg / m3.

[0106] In order to specifically study the advantages of the energy consumption rate curve, three coefficient curves with extreme values ​​at both ends and intermediate values ​​are compared according to its value range. The three different coefficient curves of a=0, a=0.5 and a=1 are applied to the curing bin structure. The specific operation steps are as follows:

[0107] (1) Determine the curvature coefficient α=0 that controls the curvature change rate (to verify the effect of optimizing the curing bin structure, where α ranges from [0, 1] and takes the endpoint value with the smallest heat loss for verification, which is an important parameter affecting the longitudinal shape of the optimization curve);

[0108] (2) Considering the actual span of the curing chamber is 5m, the transverse tensile coefficient β is determined, and we have Right now (When optimizing the curing bin for precast concrete components, β is an important parameter that affects the lateral shape of the optimization curve);

[0109] (3) Determine that the translation characteristic along the x-axis C1=0 (when using 3D software for modeling, the lower left corner of the actual curing chamber is used as the origin of the rectangular coordinate system reference, and there is no left-right translation along the x-axis);

[0110] (4) The volume of the maintenance chamber studied by the control institute is 350.152m 3 , the translation characteristics along the y-axis are determined to correspond to C2 = 5760.36 mm (when using 3D software for modeling, the area enclosed by the control optimization curve and the x-axis is a fixed value of 39.79 m 2 , where the width is 5m, the curve is integrated, the integration domain is [0, 5], and the expression is: Solve for C2 = 5.76036m);

[0111] (5) The optimized structure of the curing chamber is obtained as follows: Figure 6 As shown in (a);

[0112] (6) Determine the curvature coefficient α=0.5 that controls the curvature change rate (to verify the effect of optimizing the curing bin structure, where α takes a value in the range of [0, 1] and takes an intermediate value for verification, which is an important parameter affecting the longitudinal shape of the optimization curve);

[0113] (7) Considering that the actual span of the curing chamber is 5 m, the transverse tensile coefficient β is determined as follows: Right now (When optimizing the curing bin for precast concrete components, β is an important parameter that affects the lateral shape of the optimization curve);

[0114] (8) Determine that the translation characteristic along the x-axis C1=0 (when using 3D software for modeling, the lower left corner of the actual curing chamber is used as the origin of the rectangular coordinate system reference, and there is no left-right translation along the x-axis);

[0115] (9) The volume of the maintenance warehouse studied by the control institute is 350.152m 3 , the translation characteristics along the y-axis are determined to correspond to C2 = 6372.96 mm (when using 3D software for modeling, the area enclosed by the control curve and the x-axis is a fixed value of 39.79 m 2 , where the width is 5m, the curve can be integrated, the integration domain is [0, 5], and the expression is:

[0116]

[0117] Solve for C2 = 6.37296);

[0118] (10) The optimized structure of the curing chamber is obtained as follows: Figure 6 As shown in (b).

[0119] (11) Determine the curvature coefficient α=1 that controls the curvature change rate (to verify the effect of optimizing the curing bin structure, where α ranges from [0, 1] and takes the endpoint value for verification, and is an important parameter that affects the longitudinal shape of the optimization curve);

[0120] (12) Considering that the actual span of the curing chamber is 5 m, the transverse tensile coefficient β is determined as follows: Right now

[0121] (13) Determine that the translation characteristic along the x-axis C1=0 (when using 3D software for modeling, the lower left corner of the actual curing chamber is used as the origin of the rectangular coordinate system reference, and there is no left-right translation along the x-axis);

[0122] (14) The volume of the maintenance warehouse studied by the control institute is 350.152m 3 , the translation characteristics along the y-axis are determined to correspond to C2 = 6763.37 mm (when using 3D software for modeling, the area enclosed by the control curve and the x-axis is a fixed value of 39.79 m 2 , where the width is 5m, the curve can be integrated, the integration domain is [0, 5], and the expression is:

[0123]

[0124] Solve for C2 = 6.76337m;

[0125] (15) The optimized structure of the curing chamber is obtained as follows: Figure 6 As shown in (c).

[0126] Combined with the actual curing process of the concrete precast component curing bin, the temperature is raised according to the curing system in the first two hours. After the time is up, the steam nozzles and finned radiators are closed to allow the temperature to cool naturally. The internal average temperature change trend and the dimensionless value of the flow velocity are used as evaluation indicators to determine the optimization effect of the structural optimization on the performance of the curing bin. Figure 7 The average temperature of the heat transfer medium in the curing bins with different structures varies with time. Figure 8 The average temperature difference inside the curing chamber after optimization compared to before optimization. Fig. 9 It is a dimensionless quantity of air flow velocity inside curing chambers with different structures.

[0127] It can be seen from the above actual computational fluid dynamics simulation results that the structural model for vertical precast concrete component curing bin established according to the method described in this embodiment optimizes the energy loss and temperature distribution problems of the precast concrete component curing bin. The curvature coefficient α of the structural model controls the curvature change of the energy consumption rate curve. The closer α is to 0, the smaller the heat loss is, and the closer α is to 1, the smaller the kinetic energy loss is. When α=0, at the end of the heating stage of the curing process, the average temperature can be increased by 17.70℃, the heat loss is reduced by 7.64MJ, the energy loss is reduced by 16.93%, and the average speed dimensionless quantity is 0.000277, which is increased by 2.22 times; when α=0.5, at the end of the heating stage of the curing process, the average temperature can be increased by 13.08℃, the heat loss is reduced by 5.65MJ, the energy loss is reduced by 12.56%, and the average speed dimensionless quantity is 0.000225, which is increased by 1.62 times; when α=1, at the end of the heating stage of the curing process, the average temperature can be increased by 4.78℃, the heat loss is reduced by 2.06MJ, the energy loss is reduced by 4.58%, and the average speed dimensionless quantity is 0.000283, which is increased by 2.29 times. By performing multi-objective optimization with different emphasis on reducing heat loss and reducing kinetic energy loss, specific solutions for specific structures can be further found; the curvature coefficient β can be controlled to make it more suitable for structures of different sizes, making it more universal.

[0128] The present invention takes into account multiple factors such as curing process, curing system, curing quality and curing energy consumption, and proposes a simple, effective and universal vertical curing bin structure model, so as to achieve the purpose of improving production efficiency while reducing energy loss, thereby achieving quality improvement and energy conservation of prefabricated concrete components, and having important theoretical significance and engineering application value for achieving the dual carbon goals in the field of prefabricated buildings. Based on the embodiments of the present invention, it can be seen that from the perspective of reducing the heat loss of the curing bin, the curing bin structure optimized by the proposed energy consumption rate curve can reduce the heat loss of the curing process, and can reduce the heat loss by 4.58% to 16.93% in the heating stage. From the perspective of uniform distribution of the temperature field and flow field inside the curing bin, after optimizing the traditional curing bin structure using the energy consumption rate curve, the flow rate of the mixed fluid in the curing bin can be increased by 1.22 to 2.29 times. The temperature in the area with slow flow rate in the curing chamber is lower. By improving the structure, the kinetic energy loss can be reduced and the flow field distribution can be improved. From the perspective of practical engineering application, the proposed energy consumption rate curve takes into account multiple influencing factors of energy loss and flow field distribution, and adjusts different curvature coefficients and scale coefficients to achieve a biased selection for different needs of heat loss and kinetic energy loss. The innovative optimization design of the curing chamber structure reduces the heat loss of the curing chamber, increases the flow velocity of the mixed fluid inside the curing chamber, and improves the uniformity of temperature distribution.

[0129] In summary, the embodiment of the present invention discloses a modeling method for a vertical curing bin structure based on an energy consumption rate curve, which specifically aims at the energy loss and temperature distribution problems of the curing bin during the production and curing process of precast concrete components. In combination with the heating stage of the curing process of precast concrete components, the energy loss problem of the curing bin is studied based on Fourier's law, and a wall heat transfer mathematical model related to the curing bin structure is established; considering the uniformity of the temperature field and flow field distribution inside the curing bin, the relationship between the flow velocity of the mixed fluid micro-group before and after the collision with the wall is discussed according to the NS equation and the law of conservation of momentum, and a mixed fluid flow mathematical model of the curing bin structure is established; based on the established heat transfer mathematical model related to the curing bin wall and the mixed fluid flow mathematical model, the curvature coefficient α and the scale coefficient β are introduced to propose an energy consumption rate curve, and the curing bin structure is optimized. The numerical simulation method was used to conduct a comparative analysis before and after the optimization of the curing bin structure. The results showed that after the proposed energy consumption rate curve was used to optimize the curing bin structure, the heat loss in the curing heating stage could be reduced by 16.93% when the curvature coefficient was α=0, and the mixed fluid velocity inside the curing bin could be increased by 2.29 times when the curvature coefficient was α=1. This study has important theoretical significance and engineering application value for achieving the dual carbon goals in the field of prefabricated buildings.

[0130] The following are device embodiments of the present invention, which can be used to perform method embodiments of the present invention. For details not disclosed in the device embodiments, please refer to the method embodiments of the present invention.

[0131] In yet another embodiment of the present invention, a vertical curing bin structure optimization system based on an energy consumption rate curve is provided, comprising:

[0132] An optimization module is used to optimize the vertical curing bin structure to be optimized based on a pre-built energy consumption rate curve model to obtain an optimized vertical curing bin structure;

[0133] Wherein, the expression of the pre-built energy consumption rate curve model is:

[0134]

[0135] Where x(t) means x is a function of the independent variable t, y(t) means y is a function of the independent variable t, t is the parameter, α is the curvature coefficient, β is the scale coefficient, C1 is the translation coefficient along the x-axis, and C2 is the translation coefficient along the y-axis.

[0136] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0137] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0138] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0139] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0140] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for optimizing the structure of a vertical curing bin based on an energy consumption rate curve, characterized in that: The following steps are involved: Based on the pre-built energy consumption rate curve model, the vertical curing bin structure to be optimized is optimized to obtain the optimized vertical curing bin structure; Wherein, the expression of the pre-built energy consumption rate curve model is: Where x(t) means x is a function of the independent variable t, y(t) means y is a function of the independent variable t, t is a parameter, α is the curvature coefficient, β is the scale coefficient, C1 is the translation coefficient along the x-axis, and C2 is the translation coefficient along the y-axis; In which, in the process of optimizing the vertical curing bin structure to be optimized based on the pre-built energy consumption rate curve model, the curvature coefficient α is adjusted to achieve different biased selections of heat loss and kinetic energy loss of the vertical curing bin structure to be optimized; when the focus is on reducing heat loss, the value of the curvature coefficient α is reduced; when the focus is on reducing kinetic energy loss, the value of the curvature coefficient α is increased; The span between the two walls of the vertical curing bin structure to be optimized is L, then The energy consumption rate curve is applied to the vertical curing chamber structure with two walls of width L through the scale factor β; When a three-dimensional model of the vertical curing bin structure is established for numerical simulation to find the optimal curvature coefficient solution, the solution is obtained by adjusting the values ​​of α, β, C1, and C2.

2. The vertical curing bin structure optimization method based on energy consumption rate curve according to claim 1 is characterized in that: The steps of constructing the pre-built energy consumption rate curve model include: The heat transfer mathematical model related to the structure is established, and the expression is: In the formula, Φ represents the total heat flow through a point on the isothermal surface, "-" represents the direction, n represents the direction along the nth direction, a total of three directions: x, y, and z, and q n represents the heat flux along the nth direction, A n represents the actual heat transfer surface area along the nth direction, θ represents the thermal conductivity, T represents the temperature, i, j, k represent the direction vectors in three directions in space, θ1, θ2, θ3 represent the angles between the actual heat transfer surfaces and the value range is θ1, θ2, θ3∈(0,π]; The mathematical model of fluid flow related to the structure is established and expressed as, Where V r2 is the flow velocity vector of the fluid particle along the wall, V z1 is the velocity vector in the streamline direction, θ is the angle between the streamline direction and the wall; The pre-constructed energy consumption rate curve model is obtained based on a heat transfer mathematical model associated with the structure and a fluid flow mathematical model associated with the structure.

3. A vertical curing bin structure optimization system based on energy consumption rate curve, characterized in that: include: An optimization module is used to optimize the vertical curing bin structure to be optimized based on a pre-built energy consumption rate curve model to obtain an optimized vertical curing bin structure; Wherein, the expression of the pre-built energy consumption rate curve model is: Where x(t) means x is a function of the independent variable t, y(t) means y is a function of the independent variable t, t is a parameter, α is the curvature coefficient, β is the scale coefficient, C1 is the translation coefficient along the x-axis, and C2 is the translation coefficient along the y-axis; In which, in the process of optimizing the vertical curing bin structure to be optimized based on the pre-built energy consumption rate curve model, the curvature coefficient α is adjusted to achieve different biased selections of heat loss and kinetic energy loss of the vertical curing bin structure to be optimized; when the focus is on reducing heat loss, the value of the curvature coefficient α is reduced; when the focus is on reducing kinetic energy loss, the value of the curvature coefficient α is increased; The span between the two walls of the vertical curing bin structure to be optimized is L, then The energy consumption rate curve is applied to the vertical curing chamber structure with two walls of width L through the scale factor β; When a three-dimensional model of the vertical curing bin structure is established for numerical simulation to find the optimal curvature coefficient solution, the solution is obtained by adjusting the values ​​of α, β, C1, and C2.

4. The vertical curing bin structure optimization system based on energy consumption rate curve according to claim 3 is characterized in that: The steps of constructing the pre-built energy consumption rate curve model include: The heat transfer mathematical model related to the structure is established, and the expression is: In the formula, Φ represents the total heat flow through a point on the isothermal surface, "-" represents the direction, n represents the direction along the nth direction, a total of three directions: x, y, and z, and q n represents the heat flux along the nth direction, A n represents the actual heat transfer surface area along the nth direction, λ represents the thermal conductivity, T represents the temperature, i, j, k represent the direction vectors in three directions in space, θ1, θ2, θ3 represent the angles between the actual heat transfer surfaces and the value range is θ1, θ2, θ3∈(0,π]; The mathematical model of fluid flow related to the structure is established and expressed as, Where V r2 is the flow velocity vector of the fluid particle along the wall, V z1 is the velocity vector in the streamline direction, θ is the angle between the streamline direction and the wall; The pre-constructed energy consumption rate curve model is obtained based on a heat transfer mathematical model associated with the structure and a fluid flow mathematical model associated with the structure.

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