Method for constructing n-dimensional information model for characterizing arch dam warehouse surface micro-element pouring process

Abstract

The present application belongs to the technical field of concrete arch dam construction monitoring and digital characterization, and relates to a method for constructing an N-dimensional information model for characterizing the microelement pouring process of an arch dam's warehouse surface, comprising: 1) constructing a three-dimensional geometric information model of the arch dam; 2) dividing the three-dimensional geometric information model constructed in step 1) into microelement bodies to obtain the microelement bodies; 3) establishing an N-dimensional information model based on the pouring warehouse according to the microelement bodies obtained in step 2); 4) defining the updating rules of the microelement bodies obtained in step 2); and 5) updating the N-dimensional information model based on the pouring warehouse obtained in step 3) based on the updating rules in step 4) to obtain the N-dimensional information model for characterizing the microelement pouring process of the arch dam's warehouse surface. The present application has the advantages of being able to realize full-dimensional warehouse surface state and dynamic characterization.

Description

Technical Field

[0001] The present invention belongs to the technical field of construction monitoring and digital characterization of concrete arch dams, relates to a method for constructing a dynamic micro-element N-dimensional model, and in particular relates to a method for constructing an N-dimensional information model for characterizing the micro-element pouring process of an arch dam warehouse surface. Background Art

[0002] In the current arch dam construction process, accurate characterization of the pouring state of the warehouse surface has always been a key technical difficulty to ensure construction quality and safety. The existing technology mainly relies on binary static nodes indicating whether a single lift layer is entirely completed or not, or the percentage of the poured volume to the designed volume, and lacks the capability of real-time monitoring and dynamic updating of multi-dimensional details such as concrete thickness, vibration time and material specifications in different areas within the warehouse surface. This not only makes it difficult for construction personnel to grasp the actual construction progress of each area in time, but also limits the dynamic optimization of construction schemes and quality supervision, thereby causing problems such as poor controllability of the construction process and lagging investigation of quality hazards.

[0003] In the prior art, although some 3D modeling technologies are applied to arch dam construction, most of them focus on the overall shape modeling of the dam body, and do not carry out micro-element level refined characterization for the whole process of warehouse surface pouring; a few warehouse surface monitoring methods only focus on a single construction parameter (such as vibration time), and do not realize multi-dimensional information integration and linkage update. Therefore, developing a technical solution that can realize full-dimensional, refined and dynamic characterization of the warehouse surface state has become a key demand to solve the contradiction between the quality and efficiency of the current arch dam pouring construction. Contents of the Invention

[0004] In order to solve the above existing technical problems, the present invention provides a method for constructing an N-dimensional information model characterizing the micro-element pouring process of an arch dam warehouse surface, which can realize full-dimensional and dynamic characterization of the warehouse surface state.

[0005] In order to achieve the above purpose, the present invention adopts the following technical solution: A method for constructing an N-dimensional information model characterizing the micro-element pouring process of an arch dam warehouse surface, characterized in that: the method for constructing an N-dimensional information model characterizing the micro-element pouring process of an arch dam warehouse surface comprises the following steps: 1) Construct a three-dimensional geometric information model of the arch dam; 2) Perform micro-element division on the three-dimensional geometric information model constructed in step 1) to obtain micro-elements; 3) Establish an N-dimensional information model based on the pouring warehouse according to the micro-elements obtained in step 2); 4) Define the update rules for the micro-elements obtained in step 2); 5) Update the N-dimensional information model based on the pouring warehouse obtained in step 3) according to the update rules in step 4), so as to obtain the N-dimensional information model characterizing the micro-element pouring process of the arch dam warehouse surface.

[0006] Preferably, the specific implementation of step 2) in this invention is as follows: Based on the three-dimensional geometric information model constructed in step 1), a single pouring chamber is divided according to the height of the billet layer, and micro-element division is carried out on the basis of the first billet layer. The height of the divided micro-element is the same as the real-time pouring height of the concrete in each part of the chamber. Preferably, the micro-element partitioning is based on the control points of the casting silo surface, setting a minimum rectangular area that can include the entire area of ​​the silo surface, and using the real-world coordinate system as the coordinate system of the three-dimensional geometric information model; at the same time, in order to take into account the storage and updating of the casting silo surface information, the entire casting silo surface is divided into multiple square networks of the same area, and each network corresponds to a micro-element.

[0007] Preferably, the expression for establishing the N-dimensional information model based on the casting silo in step 3) of the present invention is: A~(N,I,M,C,T,S,Q,f) in: A is a regular infinitesimal element in the model after the surface is reduced to infinitesimal elements; N is the dimension of the infinitesimal space; I is a set of identity features; M is a set of material characteristics; C is the set of construction features; T is a set of time features; S is a set of spatial features; Q is the quality control set; f is the raster attribute change rule; The term ~ represents the mapping relationship between the infinitesimal element A and the set of multi-dimensional attributes within the subsequent parentheses.

[0008] Preferably, the identity feature set I used in this invention is an identity identifier for entities within the construction system; the expression for the identity feature set I is: I={FA,PA,OA,RSA|fa,pa,oa,rsa=0,1} in: FA, PA, OA, and RSA are respectively the set of features of the template, casting, obstacle coverage, and reinforcement area of ​​the micro-element at the current position; The values ​​fa, pa, oa, and rsa represent the characteristic values ​​of the template, casting, obstacle coverage, and reinforcement area of ​​the micro-element, respectively.

[0009] Preferably, the material feature set M used in this invention records material information related to casting, and the expression for the material feature set M is: M = {m | m = cs, cg, rs, rsn} in: m is a material characteristic class; cs, cg, rs, and rsn represent the concrete strength grade, concrete gradation, steel reinforcement specifications, and steel reinforcement quantity of the micro-element at the current position, respectively.

[0010] Preferably, the construction feature set C used in this invention covers information about the pouring construction process, and the construction feature set C is as follows: C = {c | c = CM, VM, RA, SC} in: c is a construction feature class; CM, VM, RA, and SC represent the set of construction machinery operation modes, concrete vibration methods, resource allocation, and surface construction sets for the micro-element at the current location, respectively. in: CM = {cm | cm = L, V, C} L={l|l=l i , i=0, 1, 2, 3, 4} V={v|v=v j j=0, 1, 2, 3} C={c|c=c k k=0, 1, 2, 3 in: The cm refers to the motion mode class of construction machinery; L, V, and C are sets of operating modes determined by the operating modes of the leveling machinery, vibrating trolley, and cable crane lifting tank. The values ​​l, v, and c are the characteristic values ​​of the operating mode determined by the operating mode of the leveling machinery, the vibrating trolley, and the cable crane hoisting tank. When l is l0, l1, l2, l3, and l4, the corresponding modes are no corresponding machinery, stationary waiting, driving adjustment, forward working cycle, and backward working cycle, respectively. When v is v0, v1, v2, and v3, the corresponding modes are no corresponding machinery, stationary waiting, driving adjustment, and vibrating working cycle, respectively. When c is c0, c1, c2, and c3, the corresponding modes are no corresponding machinery, hoisting tank descending, unloading, and hoisting tank ascending, respectively. VM = {vm | vm = 0, 1} RA={ra|ra=ccn,lmn,vmn,mn} in: vm is the characteristic value of the vibration mode of the current micro-element; ra is a resource configuration class; The numbers ccn, lmn, vmn, and mn represent the number of cable cranes, leveling machinery, vibrating trolleys, and construction personnel currently configured in the pouring silo. SC = {sc | sc = s1, s2, s3, s4} in: The sc is a characteristic value of the pouring state of the sump. When the sc value is s1, s2, s3, and s4, it represents the foundation state, unloading state, leveling state, and vibration state, respectively.

[0011] Preferably, the time feature set T used in this invention incorporates construction progress information into the model, displaying the start time, end time, duration, and connection between different construction stages of each pouring section through a time series. The expression for the time feature set T is: T = {t | t = st, ft, dt, cp} in: t is a time feature class; st, ft, dt, and cp represent the start time, end time, duration, and completion progress of the current pouring chamber, respectively.

[0012] Preferably, the spatial feature set S used in this invention is based on three-dimensional space, further refining spatial information and taking into account its own spatial location and volume information. The spatial feature set is as follows: S = {s|sa = ci, ch, pr} in: The sa is a spatial feature class; ci, ch, and pr are the spatial position of the current micro-element, the thickness of the concrete, and the volume of the current pouring chamber, respectively. Preferably, the quality control set Q integrates quality inspection data during the pouring process, evaluating the quality of in-situ pouring using two types of time: the coverage time of a single layer and the duration of concrete vibration. The expression for the quality control set Q is: Q = {q | q = vt, ct} in: q represents a quality control feature class; vt is the concrete vibration time of the current micro-element; ct represents the concrete covering time.

[0013] Preferably, the update rule in step 4) of the present invention is specifically: 4.1) After dividing the material into infinitesimal elements, the positive half-axis of the Y-axis in a two-dimensional rectangular coordinate system is defined as the direction from upstream to downstream of the arch dam. The rectangular corner points of the cube projection in the control dam surface, which is a continuous structure, are taken as the origin of the coordinate system. The positive half-axis of the X-axis is defined as the direction from the left bank platform to the right bank platform of the arch dam. Each infinitesimal element obtains its corresponding coordinate c. i = (x ij y ij () represents the coordinate information of the center of the infinitesimal element in the i-th row and j-th column, and it will not be changed. 4.2) Set the corresponding feature value of the micro-element identity feature class to 1 for the three types of foundation areas: template, pouring, obstacle coverage, and reinforcement. Micro-elements in the area outside the pouring silo and in the obstacle coverage area of ​​similar pouring silos containing corridors cannot be unloaded, leveled, or vibrated. In addition, there are a large number of reinforcement areas in similar structural silos where unloading is possible, but leveling and vibrating operations cannot be performed. Therefore, for a single micro-element, it can only become a foundation area, and the feature value of the identity feature class corresponding to the micro-element is used as the identity information for screening areas within the silo that can be poured. 4.3) For the micro-elements of the pouring area, according to the different grade requirements of concrete strength and gradation, and steel reinforcement specifications and quantity in different pouring areas, assign the corresponding material characteristic class characteristic value to the corresponding pouring area; 4.4) During the pouring process; for the micro-elements in the pouring area, according to the corresponding operating modes of different positions of different construction machinery, assign characteristic values ​​(l) corresponding to their motion mode classes. i v j c k ); 4.5) During the pouring process, vibration can be divided into mechanical vibration and manual vibration according to the vibration method; for the micro-element of the pouring area, the vibration method characteristic value is assigned to the mechanically vibrated area as 1, otherwise it is 0; 4.6) During the pouring process; for the micro-elements in the pouring area, assign the corresponding quantity of resource allocation class to the micro-elements in the pouring area according to the current resource allocation of the pouring chamber; 4.7) Set a time step Δt. When pouring begins, assign the start time st=t0 to the pouring chamber in the time feature class of the micro-element; when pouring is completed, assign the completion time ft=t0+nΔt to the pouring chamber in the time feature class of the micro-element, and the duration dt=nΔt; preferably, the time step refers to the interval time between the start of the previous pouring step and the same pouring step in this time. 4.8) For the micro-element of the casting area, the volume of the casting hopper for spatial characteristics is: pr=n×w 2 ×h in: The n is the number of micro-elements in the current pouring chamber whose identity characteristic is the pouring area; w is the side length of the projected square; h is the height of the pouring trough; 4.9) The change in the pouring status of the silo surface caused by the cable crane unloading event is shown as follows: in: The s （x，y，t） The characteristic value of the pouring state of the slab surface at time t (x, y) represents the value of the pouring state at time t. The c （x，y，t） The mechanical operation mode characteristic value of the point (x, y) determined by the cable crane canister at time t is represented. The DLA represents the unloading area; The ch （x，y，t） It is the concrete thickness in the spatial feature class (x, y) at time t; The (x) i y i (i, j) represents the coordinates of the infinitesimal element at position (i, j); The (x) c y c () indicates the coordinates of the center of the unloading pile; The h dlc It is the height of the unloading pile; r is the radius of the unloading pile; S2 represents the characteristic value of the silo surface pouring at time t (x, y), which is the characteristic value when the silo surface is unloading. C2 represents the characteristic value of the mechanical operation mode of the point (x, y) determined by the cable crane at time t when the can is unloading material; △t represents the time step corresponding to the completion of one pouring step by the corresponding construction machinery; 4.10) When the closing machinery performs a closing operation and moves forward, the formula for the change in grid attributes caused by the closing operation is as follows: in: The l （x，y，t） The mechanical operation mode characteristic value of the point (x, y) determined by the closing machinery at time t is represented. LA represents the closing area of ​​the closing machinery within adjacent time steps; The V （t） This represents the volume of concrete material within the leveling blade at time t; the concrete height within the leveling area from time t-Δt to time t is updated to h. （t） ; S3 refers to the pouring state characteristic value of the silo surface at time t (x, y) being in the flat state. The l3 refers to the mechanical operation mode characteristic value of the point (x, y) determined by the closing machinery at time t, which is the operation mode characteristic value of whether the working cycle is forward or backward. 4.11) When the vibratory compaction trolley is performing vibration operation (v3 is the working vibration), the average thickness of the concrete after vibration is completed is equal to the sum of the concrete thicknesses after the previous adjacent vibration operation time divided by the number of micro-elements in the vibration area. Then, the sum of the average thicknesses of the concrete after vibration is divided by the thickness of the blank layer of the micro-elements existing in the pouring zone, rounded down, and then 1 is added to obtain the blank layer of the current zone. The specific formula for the grid attribute change caused by the vibration operation is expressed as follows: in: The S4 is the characteristic value of the surface pouring state at time t (x, y), which is the characteristic value when vibrating. The v （x，y，t） The mechanical operation mode characteristic value of the point (x, y) determined by the closing machinery at time t is represented. VA represents the vibration area of ​​the vibratory trolley within adjacent time steps; P represents the pouring silo zone area; The vt （x，y，t） The vibration time at point (x, y) at time t; The n(X) represents the number of infinitesimal elements within region X; The pl （t） This indicates the billet layer in which the partition is located at time t; d represents the thickness of the blank layer; The int （t） This indicates taking the integer part of x downwards; The ct （ch） The concrete covering time is defined as the concrete thickness ch. 4.12) The current progress of concrete pouring for the foundation layer is as follows: .

[0014] Preferably, step 5) of the present invention specifically involves: initializing the micro-element attributes according to the construction process of the arch dam surface and the corresponding construction events, updating the micro-element attributes according to the update rules in step 4), and finally obtaining an N-dimensional information model characterizing the micro-element pouring process of the arch dam surface. Preferably, the update process for updating the micro-element attributes in step 5) is as follows: 5.1) Based on the coordinates of the slab surface boundary and obstacles obtained from the on-site template inspection, establish the slab surface BLK, where the slab surface BLK refers to the pouring zone set up on the slab surface excluding obstacles; 5.2) Divide the warehouse surface micro-element mesh on the warehouse surface BLK according to the adjusted preset accuracy, generate micro-element A, and obtain the corresponding coordinates of the center point coordinates of each micro-element. 5.3) Initialize the state of the slab surface, that is, change the identity characteristics of the micro-element in the corresponding area to the corresponding characteristic value. When the micro-element is located in the pouring area, set its pouring state to the basic state s1; at the same time, round up the current layer number to pl=1, and set the concrete thickness ch and vibration time vt to 0. 5.4) Based on the occurrence of a state update event, update the microelement feature A according to steps 4.9)-4.12) of the update rules in step 4); 5.5) After updating A, determine whether the current billet layer has been updated. If it has been updated, record the current time t. i Then the total construction time of the previous layer is the current time t. i Subtract the last billet layer update time t i-1 If no update occurs, further verification is needed to determine whether the design thickness of the silo surface and the characteristic value of the pouring state are in the vibration state s4. 5.6) Based on whether the concrete thickness ch of the micro-element spatial characteristic class reaches the design thickness of the placement surface, and whether the pouring state characteristic value s is in the vibration state s4, a comprehensive judgment is made on whether the pouring operation is completed. 5.7) If the determination is negative, repeat steps 5.5)-5.6). If the determination is positive, the pouring status of the slab surface will stop updating.

[0015] The beneficial effects of this invention are: This invention provides a method for constructing an N-dimensional information model representing the micro-element casting process of an arch dam's surface, comprising: 1) constructing a three-dimensional geometric information model of the arch dam to accurately represent the dam's shape, dimensions, and spatial foundation information such as the division of casting chambers; 2) dividing the three-dimensional geometric information model obtained in step 1) into micro-elements; 3) establishing an N-dimensional information model based on the casting chambers according to the micro-elements obtained in step 2); 4) defining update rules for the micro-elements obtained in step 2); and 5) updating the N-dimensional information model based on the casting chambers obtained in step 3) according to the update rules in step 4), thereby obtaining an N-dimensional information model representing the micro-element casting process of the arch dam's surface. Based on this information model, high-precision full-process state representation of the surface can be achieved, including feature information in six dimensions: identity, material, construction, time, space, and quality control. Simultaneously, based on the precision of the micro-element division and the mathematical update rules of the micro-element volume, high-precision multi-dimensional construction progress information can be obtained, including the current concrete thickness of each area of ​​the pouring surface, concrete coverage time, vibration time, current poured layer, construction time of each layer, and overall construction time of the pouring site. This achieves a complete representation of the pouring state of the pouring surface. It can provide real-time reference information for in-process control and post-process analysis of the pouring surface, thereby ensuring the normal and orderly progress of concrete pouring, guaranteeing concrete pouring quality, improving project management level, and achieving high-quality and efficient construction. This invention establishes a precise mapping between the pouring process and digital twin through micro-element discretization and six-dimensional feature integration, achieving a comprehensive and refined representation of the pouring surface state. This provides core technical support for real-time construction feedback, dynamic optimization of schemes, and quality monitoring, significantly improving the controllability of the pouring process and construction quality. Attached Figure Description

[0016] Figure 1 This is the overall framework of the method for constructing an N-dimensional information model characterizing the micro-element casting process of an arch dam surface provided by the present invention; Figure 2 This refers to the specific updating step of the micro-element of the casting chamber in step 4) of the present invention; Figure 3 This invention provides a mathematical update process for the micro-element of the casting silo. Detailed Implementation

[0017] This invention provides a method for constructing an N-dimensional information model characterizing the micro-element casting process of an arch dam surface, see [link to method]. Figure 1 As shown. Specifically, it includes the following steps: 1) Construct a three-dimensional geometric information model of the arch dam. Using the real-world coordinate system as the spatial coordinate system of the model, the three-dimensional geometric information model of the arch dam is divided into dam sections and casting chambers. Each casting chamber vertex is assigned its spatial coordinates. Each casting chamber is regarded as a continuous cubic structure, corresponding to a set containing 8 vertex coordinates.

[0018] 2) The casting silo is processed into micro-elements to form a micro-element network. The shape of each micro-element is square. An information model of the casting silo surface is established based on the template control points, and a minimum rectangular region that encompasses the entire surface area is set. Simultaneously, to accommodate the storage and updating of casting silo surface information, the size of each micro-element is set using micro-element precision parameters, dividing the entire casting silo into multiple square networks of the same size, with each network corresponding to one micro-element.

[0019] 3) Establish a warehouse information model. For each micro-element, assign it attribute classes, including identity feature classes, material feature classes, construction feature classes, time feature classes, spatial feature classes, quality control feature classes, and micro-element attribute change rules. The specific expressions are as follows: in: This is a regular infinitesimal element formed by the miniaturization of the warehouse surface in the model. Let be the dimension of the infinitesimal space; A set of identity features; A set of material characteristics; A set of construction features; It is a set of time features; It is a set of spatial features; For quality control sets; Change the rules for raster properties; Representing infinitesimal elements The mapping relationship with the multi-dimensional attribute set in the subsequent parentheses.

[0020] The elements in each set and their meanings are defined as follows: Identity feature set For entities within the construction system, such as formwork, pouring, structure, and reinforcement, their identities are clearly defined, specifying their roles and attributes during the construction process. The first three are the foundational areas, while the reinforcement area is an auxiliary area; their set of identity characteristics is as follows: in: These are the sets of features for the current micro-element, including the template, pouring, obstacle coverage, and reinforcement area. These are the characteristic values ​​of the template, pouring, obstacle coverage, and reinforcement areas of the corresponding micro-element.

[0021] Material characteristic set It records material information related to the pouring process, including the strength grade and gradation of the concrete, as well as the specifications and quantity of the reinforcing steel. Its material characteristic set is as follows: in: For material characteristics; These represent the concrete strength grade, concrete mix design, steel reinforcement specifications, and steel reinforcement quantity of the micro-element at the current location.

[0022] Construction feature set It covers information on the pouring and construction process, including the working status of each construction machine, vibration methods, and resource allocation. Its material characteristics set is as follows: C = {c | c = CM, VM, RA, SC} in: For construction features; CM, VM, RA, and SC represent the set of construction machinery operation modes, concrete vibration methods, resource allocation, and surface construction sets for the micro-element at the current location, respectively.

[0023] in: This refers to the motion modes of construction machinery. These represent the sets of operating modes determined by the operating modes of the leveling machinery, vibrating trolley, and cable crane lifting tank; These represent the characteristic values ​​of the operating mode determined by the operating modes of the leveling machinery, vibrating trolley, and cable crane lifting tank, respectively. When Value The corresponding states are: no corresponding machinery, stationary waiting, driving adjustment, work cycle: forward, and work cycle: backward. Value These are respectively: no corresponding machinery, stationary waiting, driving adjustment, and working vibration; when Value The corresponding times are: no corresponding machinery, lowering of the hoist, unloading, and raising of the hoist.

[0024] in: The characteristic value of the vibration mode of the current micro-element; For resource allocation; The quantities of cable cranes, leveling machinery, vibratory compactors, and construction personnel currently configured in the pouring chamber are as follows: According to the construction process of the slab surface pouring, the grid pouring state set is as follows: SC = {sc | sc = s1, s2, s3, s4} Where: sc represents the characteristic value of the pouring state of the slab surface, when sc is a value of The states are respectively the basic state, the unloading state, the leveling state, and the vibration state.

[0025] Time feature set The model incorporates construction progress information, displaying the start time, end time, and duration of each pouring section, as well as the connection between different construction stages, through a time series representation. Its time characteristic set is as follows: in: For time-related features; These are the start time, end time, duration, and completion progress of the current pouring chamber, respectively.

[0026] The spatial feature set S, based on three-dimensional space, further refines spatial information, considering information such as its own spatial location and volume. Its temporal feature set is as follows: S = {s|sa = ci, ch, pr} Where: sa is the spatial feature class; These represent the current spatial location of the micro-element, the concrete thickness, and the current volume of the pouring chamber, respectively.

[0027] The quality control feature set Q integrates quality inspection data during the pouring process, including the covering time of a single layer and the duration of concrete vibration. Its time feature set is as follows: Q = {q | q = vt, ct} in: For quality control feature class; The current concrete vibration time for the micro-element is [time]. This indicates the time the concrete has been covered.

[0028] 4) Define the update rules for the properties of the infinitesimal element, see Figure 2 As shown. The specific update rules are as follows: (1) After meshing, define the direction from upstream to downstream as a two-dimensional rectangular coordinate axis. The positive half-axis of the axis controls the origin of the coordinate system, with the corner points of the cube (a continuous structure) in the control area as the coordinate origin, and the direction from the left bank platform of the arch dam to the right bank platform as... The positive semi-axis. Each infinitesimal element obtains its corresponding coordinates. For the first OK The coordinates of the center of the column element are retained and will not be changed.

[0029] (2) Set the corresponding feature value of the micro-element identity feature class of the template, pouring, obstacle coverage and reinforcement area to 1 respectively, that is Unloading, leveling, and vibration operations cannot be performed on micro-elements outside the casting chamber or in areas covered by obstacles. However, small-scale unloading, leveling, and vibration operations can still be performed on the reinforcing steel areas inside the casting chamber. Therefore, for the same micro-element, it can only serve as a basic area, i.e. .

[0030] (3) For the micro-element of the pouring area, according to the different grade requirements of concrete strength and gradation, and steel reinforcement specifications and quantity in different pouring areas, assign the corresponding material characteristic class characteristic value to the corresponding area.

[0031] (4) During the pouring process, for the micro-elements in the pouring area, according to the corresponding operating modes of different positions of different construction machinery, characteristic values ​​corresponding to their motion mode classes are assigned. .

[0032] (5) During the pouring process, vibration can be divided into mechanical vibration and manual vibration according to the method. For the micro-element of the pouring area, the characteristic value of the vibration method is assigned to the mechanically vibrated area as 1, and otherwise as 0, i.e. .

[0033] (6) During the pouring process, for the micro-elements in the pouring area, assign them the corresponding quantity of resource allocation class according to the current resource allocation of the pouring chamber.

[0034] (7) Set the time step At the start of pouring, assign the start time of the pouring chamber to the time characteristic class of the micro-element. ;Upon completion of pouring, assign the pouring chamber completion time to the micro-element time characteristic class. Duration .

[0035] (8) For the micro-element of the casting area, the volume of the casting hopper of the spatial feature class is: pr=n×w 2 ×h in, The number of micro-elements in the current pouring chamber whose identity is the pouring area; w is the side length of the projected square; This refers to the height of the pouring trough.

[0036] (9) The changes in the silo surface pouring status caused by the cable crane unloading incident are shown below: in: express Time point Characteristic values ​​of the pouring state of the slab surface; express The point of time is determined by the cableway and the canister. The characteristic values ​​of the mechanical operation mode; Indicates the unloading area; for Time point Concrete thickness in spatial feature classes; express The coordinates of the infinitesimal element at that location; Indicates the coordinates of the center of the unloading pile; This refers to the height of the unloading pile; The radius of the unloading pile.

[0037] Unloading range Determination: First, unloading the cable car's canister is a continuous process. When the cable car canister is in the unloading state, that is... Record the real-world coordinates of the discharge port under continuous discharge conditions, i.e., satisfy... The coordinates of the center of the stockpile are The average coordinates of the discharge port over a given time period. Then, based on on-site measurements, the shape of the discharge pile is approximately conical, and its height is measured. and radius The unloading range is determined based on the center coordinates of the unloading pile.

[0038] (10) The changes in grid attributes caused by the leveling operation performed by the leveling machinery are represented as follows: in: express The point at which the closing position is determined by the closing mechanism. The characteristic values ​​of the mechanical operation mode; This indicates the closing area of ​​the closing machinery within adjacent time steps; express The volume of concrete material inside the blade is constantly being leveled; from Time to The concrete height within the immediate clearing area is updated to... .

[0039] Single closing range The determination of: by The coordinates of the closing blade of the closing mechanism at any given time. The closed polygon formed by the coordinates of the closing blade of the closing machine at any given time is used as the range of a single closing operation.

[0040] Single closing height Determination: Similar to unloading, leveling is a continuous process. When the leveling machinery is in the working cycle: forward mode, that is... When satisfied The coordinates of the two points on the left and right sides of the bottom of the flattened blade are at... to The coordinate transformation at any given time can determine the area to be leveled during the process, and define the number of grid cells covered by the leveling operation within the leveling area as the coordinates of the grid center. This is then determined based on the unloading range. Once the total volume of concrete for this leveling and mechanical paving is determined, the leveling height can be calculated. The volume of concrete laid in this operation is divided by the number of grids within the leveling area during this process, multiplied by the unit grid area.

[0041] (11) The changes in grid attributes caused by the vibration operation of the vibration trolley are represented as follows: in: express The point at which the closing position is determined by the closing mechanism. The characteristic values ​​of the mechanical operation mode; This indicates the vibration area of ​​the vibratory trolley within adjacent time steps; Indicates the zone area of ​​the pouring chamber; express Point of time The vibration time; express The number of infinitesimal elements within the region; express The current blank layer in which the partition is located; Indicates the thickness of the blank layer; Indicates taking down The integer part; The concrete thickness is Concrete covering time.

[0042] Single vibration area Determination: Based on the coordinates of the vibrator and the actual measured radius of influence of the vibrator on site, the closed area formed by expanding the radius of influence of the vibrator from the coordinates of the vibrator is taken as the single vibration area.

[0043] (12) The current construction progress of the billet layer is as follows: 5) Initialize the micro-element attributes, and according to the construction process of the arch dam deck and the corresponding construction events, update the micro-element attributes, i.e., the state and attributes of the deck surface, according to the update rules in 3). The deck surface state update process is as follows, see below. Figure 3 As shown.

[0044] (1) Based on the template detection at the engineering site, the warehouse surface boundary and obstacle coordinates are obtained, and the warehouse surface is established. (warehouse surface) (Refers to the pouring zones set up on the surface of the silo). (2) Divide the warehouse surface into grids according to the preset accuracy and generate micro-elements. Obtain the corresponding coordinates of the center point of each infinitesimal element; (3) Initialize the state of the sump, that is, change the identity characteristics of the micro-element in the corresponding area to the corresponding characteristic value. When the micro-element is located in the casting area, set its casting state to the basic state. At the same time, the current billet layer number is rounded up. Concrete thickness Vibration time =0; (4) Update the features of the micro-element according to the occurrence of the state update event and the corresponding rules. ; (5) Determine whether the current billet layer has been updated according to the present invention. If it has been updated, record the current time. Then the total construction time of the previous layer is the current time. Subtract the last billet layer update time If no update occurs, further checks will be made on the design thickness of the silo surface and whether the characteristic values ​​of the pouring state indicate a vibratory compaction state. Verification was conducted. It should be noted that the attribute characteristics of the micro-element were updated after changes in the state characteristic values ​​of operations such as unloading, leveling, and vibration. After the update, the determination was made by whether the layer in which the micro-element was located within the pouring area had changed compared to the layer before the update. The layer in which the micro-element is located, as mentioned in this invention, refers to the layer in which the micro-element rises (numerical value) matches the thickness of the concrete layer, and is then determined based on the previously defined layers (scale). For example, if the concrete thickness reaches 1.2m, and the defined layer height is 0.5m, then the layer in which the micro-element is located belongs to the 3rd layer.

[0045] (6) Concrete thickness based on the spatial characteristics of micro-element classes Whether the design thickness of the silo surface has been achieved, and the characteristic values ​​of the pouring state. Is it in the vibratory state? A comprehensive judgment is made as to whether the pouring operation has been completed.

[0046] (7) If the determination is no, repeat (5)-(6); if the determination is yes, the surface pouring status stops updating.

Claims

1. A method for constructing an N-dimensional information model characterizing the micro-element casting process of an arch dam, characterized in that: The method for constructing the N-dimensional information model characterizing the micro-element casting process of the arch dam surface includes the following steps: 1) Construct a three-dimensional geometric information model of the arch dam; 2) Divide the three-dimensional geometric information model obtained in step 1) into infinitesimal elements to obtain infinitesimal elements; 3) Based on the micro-element obtained in step 2), establish an N-dimensional information model based on the casting silo; 4) Define the update rules for the infinitesimal elements obtained in step 2); 5) Update the N-dimensional information model based on the casting silo obtained in step 3) based on the update rule in step 4) to obtain an N-dimensional information model representing the micro-element casting process of the arch dam silo surface.

2. The method for constructing an N-dimensional information model characterizing the micro-element casting process of an arch dam surface according to claim 1, characterized in that: The specific implementation method of step 2) is as follows: Based on the three-dimensional geometric information model constructed in step 1), a single pouring chamber is divided according to the height of the billet layer, and micro-element division is carried out on the basis of the first billet layer. The height of the divided micro-element is the same as the real-time pouring height of the concrete in each part of the chamber. Preferably, the micro-element division is based on the control points of the casting silo surface, setting a minimum rectangular area that can include the entire area of ​​the silo surface, and using the real-world coordinate system as the coordinate system of the three-dimensional geometric information model; at the same time, the entire casting silo surface is divided into multiple square networks of the same area, and each network corresponds to a micro-element.

3. The method for constructing an N-dimensional information model characterizing the micro-element casting process of an arch dam surface according to claim 2, characterized in that: The expression for establishing the N-dimensional information model based on the casting silo in step 3) is: A~(N,I,M,C,T,S,Q,f) in: A is a regular infinitesimal element in the model after the surface is reduced to infinitesimal elements; N is the dimension of the infinitesimal space; I is a set of identity features; M is a set of material characteristics; C is the set of construction features; T is a set of time features; S is a set of spatial features; Q is the quality control set; f is the raster attribute change rule; The term ~ represents the mapping relationship between the infinitesimal element A and the set of multi-dimensional attributes within the subsequent parentheses.

4. The method for constructing an N-dimensional information model characterizing the micro-element casting process of an arch dam surface according to claim 3, characterized in that: The identity feature set I is the identity identifier of entities within the construction system; the expression of the identity feature set I is: I={FA,PA,OA,RSA|fa,pa,oa,rsa=0,1} in: FA, PA, OA, and RSA are respectively the set of features of the template, casting, obstacle coverage, and reinforcement area of ​​the micro-element at the current position; The values ​​fa, pa, oa, and rsa represent the characteristic values ​​of the template, casting, obstacle coverage, and reinforcement area of ​​the micro-element, respectively.

5. The method for constructing an N-dimensional information model characterizing the micro-element casting process of an arch dam surface according to claim 3, characterized in that: The material feature set M records material information related to casting, and the expression for the material feature set M is: M = {m | m = cs, cg, rs, rsn} in: m is a material characteristic class; cs, cg, rs, and rsn represent the concrete strength grade, concrete gradation, steel reinforcement specifications, and steel reinforcement quantity of the micro-element at the current position, respectively.

6. The method for constructing an N-dimensional information model characterizing the micro-element casting process of an arch dam surface according to claim 3, characterized in that: The construction feature set C encompasses information about the pouring construction process, and the expression for the construction feature set C is: C = {c | c = CM, VM, RA, SC} in: c is a construction feature class; CM, VM, RA, and SC represent the set of construction machinery operation modes, concrete vibration methods, resource allocation, and surface construction sets for the micro-element at the current location, respectively. in: CM = {cm | cm = L, V, C} L={l|l=l i ,i=0,1,2,3,4} V={v|v=v j ,j=0,1,2,3} C={c|c=c k ,k=0,1,2,3} in: The cm refers to the motion mode class of construction machinery; L, V, and C are sets of operating modes determined by the operating modes of the leveling machinery, vibrating trolley, and cable crane lifting tank. The values ​​l, v, and c are the characteristic values ​​of the operating mode determined by the operating mode of the leveling machinery, the vibrating trolley, and the cable crane hoisting tank. When l is l0, l1, l2, l3, and l4, the corresponding modes are no corresponding machinery, stationary waiting, driving adjustment, forward working cycle, and backward working cycle, respectively. When v is v0, v1, v2, and v3, the corresponding modes are no corresponding machinery, stationary waiting, driving adjustment, and vibrating working cycle, respectively. When c is c0, c1, c2, and c3, the corresponding modes are no corresponding machinery, hoisting tank descending, unloading, and hoisting tank ascending, respectively. VM = {vm | vm = 0, 1} RA={ra|ra=ccn,lmn,vmn,mn} in: vm is the characteristic value of the vibration mode of the current micro-element; The ra is a resource configuration class; CCN, LMN, VMN, and MN represent the number of cable cranes, leveling machinery, vibrating trolleys, and construction personnel currently configured in the pouring silo. SC = {sc | sc = s1, s2, s3, s4} in: The sc is a characteristic value of the pouring state of the sump. When the sc value is s1, s2, s3, and s4, it represents the foundation state, unloading state, leveling state, and vibration state, respectively.

7. The method for constructing an N-dimensional information model characterizing the micro-element casting process of an arch dam surface according to claim 3, characterized in that: The time feature set T incorporates construction progress information into the model, displaying the start time, end time, duration, and connection between different construction stages of each pouring section through a time series. The expression for the time feature set T is: T = {t | t = st, ft, dt, cp} in: t is a time feature class; st, ft, dt, and cp represent the start time, end time, duration, and completion progress of the current pouring chamber, respectively.

8. The method for constructing an N-dimensional information model characterizing the micro-element casting process of an arch dam according to claim 3, characterized in that: The spatial feature set S is a further refinement of spatial information based on three-dimensional space. The spatial feature set is as follows: S = {s|sa = ci, ch, pr} in: The sa is a spatial feature class; ci, ch, and pr are the spatial position of the current micro-element, the concrete thickness, and the current pouring volume, respectively. Preferably, the quality control set Q integrates quality inspection data during the pouring process, evaluating the quality of in-situ pouring using two types of time: the coverage time of a single layer and the duration of concrete vibration. The expression for the quality control set Q is: Q = {q | q = vt, ct} in: q represents a quality control feature class; vt is the concrete vibration time of the current micro-element; ct represents the concrete covering time.

9. The method for constructing an N-dimensional information model characterizing the micro-element casting process of an arch dam surface according to any one of claims 1-8, characterized in that: The update rule in step 4) is specifically: 4.1) After dividing the material into infinitesimal elements, the positive half-axis of the two-dimensional rectangular coordinate system is defined as the direction from upstream to downstream of the arch dam. The origin of the coordinate system is the point where the corner of the control surface coincides with the corner of the circumscribed rectangle. The positive half-axis of the X-axis is defined as the direction from the left bank platform to the right bank platform of the arch dam. Each infinitesimal element obtains its corresponding coordinate c. i = (x ij y ij ) represents the coordinate information of the center of the infinitesimal element in the i-th row and j-th column, and the method of selecting the coincident corner point as the origin and the coordinate information will not be changed; 4.2) Set the corresponding feature value of the micro-element identity feature class of the three types of foundation areas, namely template, pouring, obstacle coverage and reinforcement, to 1 respectively; micro-elements in the area outside the pouring silo and the obstacle coverage area in the pouring silo containing corridors cannot be unloaded, leveled and vibrated; in addition, areas with a large amount of reinforcement in similar structural silos can be unloaded, but cannot be leveled and vibrated by a vibrator. 4.3) For the micro-elements of the pouring area, according to the different grade requirements of concrete strength and gradation, and steel reinforcement specifications and quantity in different pouring areas, assign the corresponding material characteristic class characteristic value to the corresponding pouring area; 4.4) During the pouring process; for the micro-elements in the pouring area, according to the corresponding operating modes of different positions of different construction machinery, assign characteristic values ​​(l) corresponding to their motion mode classes. i v j c k ); 4.5) During the pouring process, vibration can be divided into mechanical vibration and manual vibration according to the vibration method; for the micro-element of the pouring area, the vibration method characteristic value is assigned to the mechanically vibrated area as 1, otherwise it is 0; 4.6) During the pouring process; for the micro-elements in the pouring area, according to the current resource allocation of the pouring chamber, assign the corresponding quantity to the resource allocation class of the micro-elements in the pouring area; 4.7) Set a time step Δt. When pouring begins, assign the start time st=t0 to the pouring chamber in the time feature class of the micro-element; when pouring is completed, assign the completion time ft=t0+nΔt to the pouring chamber in the time feature class of the micro-element, and the duration dt=nΔt; preferably, the time step refers to the interval time from the start of the previous pouring step to the same pouring step. 4.8) For the micro-element of the casting area, the volume of the casting hopper for spatial characteristics is: pr=n×w 2 ×h in: The n is the number of micro-elements in the current pouring chamber whose identity characteristic is the pouring area; w is the side length of the projected square; h is the height of the pouring trough; 4.9) The change in the pouring status of the silo surface caused by the cable crane unloading event is shown as follows: in: The s （x，y，t） The characteristic value of the pouring state of the slab surface at time t (x, y) represents the value of the pouring state at time t. The c （x，y，t） The mechanical operation mode characteristic value of the point (x, y) determined by the cable crane canister at time t is represented. The DLA represents the unloading area; The ch （x，y，t） It is the concrete thickness in the spatial feature class (x, y) at time t; The (x) i y i (i, j) represents the coordinates of the infinitesimal element at position (i, j); The (x) c y c () indicates the coordinates of the center of the unloading pile; The h dlc It is the height of the unloading pile; r is the radius of the unloading pile; S2 represents the characteristic value of the silo surface pouring at time t (x, y), which is the characteristic value when the silo surface is unloading. C2 represents the characteristic value of the mechanical operation mode of the point (x, y) determined by the cable crane at time t when the can is unloading material; △t represents the time step corresponding to the completion of one pouring step by the corresponding construction machinery; 4.10) When the closing machinery performs a closing operation and moves forward, the formula for the change in grid attributes caused by the closing operation is as follows: in: The l （x，y，t） The mechanical operation mode characteristic value of the point (x, y) determined by the closing machinery at time t is represented. LA represents the closing area of ​​the closing machinery within adjacent time steps; The V （t） This represents the volume of concrete material within the leveling blade at time t; the concrete height within the leveling area from time t-Δt to time t is updated to h. （t） ; S3 refers to the pouring state characteristic value of the silo surface at time t (x, y) being in the flat state. The l3 refers to the mechanical operation mode characteristic value of the point (x, y) determined by the closing machinery at time t, which is the operation mode characteristic value of whether the working cycle is forward or backward. 4.11) When the vibratory compaction trolley is performing vibration operation (v3 is the working vibration), the average thickness of the concrete after vibration is completed is equal to the sum of the concrete thicknesses after the previous adjacent vibration operation time divided by the number of micro-elements in the vibration area. Then, the sum of the average thicknesses of the concrete after vibration is divided by the thickness of the blank layer of the micro-elements existing in the pouring zone, rounded down, and then 1 is added to obtain the blank layer of the current zone. The specific formula for the grid attribute change caused by the vibration operation is expressed as follows: in: The S4 is the characteristic value of the surface pouring state at time t (x, y), which is the characteristic value when vibrating. The v （x，y，t） The mechanical operation mode characteristic value of the point (x, y) determined by the closing machinery at time t is represented. VA represents the vibration area of ​​the vibratory trolley within adjacent time steps; P represents the pouring silo zone area; The vt （x，y，t） The vibration time at point (x, y) at time t; The n(X) represents the number of infinitesimal elements within region X; The pl （t） This indicates the billet layer in which the partition is located at time t; d represents the thickness of the blank layer; The int （t） This indicates taking the integer part of x downwards; The ct （ch） The concrete covering time is defined as the concrete thickness ch. 4.12) The current progress of concrete pouring for the foundation layer is as follows: 。 10. The method for constructing an N-dimensional information model characterizing the micro-element casting process of an arch dam surface according to claim 9, characterized in that: Specifically, step 5) involves: initializing the micro-element attributes based on the construction process of the arch dam surface and the corresponding construction events; updating the micro-element attributes according to the update rules in step 4); and finally obtaining an N-dimensional information model representing the micro-element pouring process of the arch dam surface. Preferably, the update process for updating the micro-element attributes in step 5) is as follows: 5.1) Based on the coordinates of the slab surface boundary and obstacles obtained from the on-site template inspection, establish the slab surface BLK, where the slab surface BLK refers to the pouring zone set up on the slab surface excluding obstacles; 5.2) Divide the warehouse surface micro-element mesh on the warehouse surface BLK according to the adjusted preset accuracy, generate micro-element A, and obtain the corresponding coordinates of the center point coordinates of each micro-element. 5.3) Initialize the state of the slab surface, that is, change the identity characteristics of the micro-element in the corresponding area to the corresponding characteristic value. When the micro-element is located in the pouring area, set its pouring state to the basic state s1; at the same time, round up the current layer number to pl=1, and set the concrete thickness ch and vibration time vt to 0. 5.4) Update the infinitesimal element A according to the occurrence of the state update event and steps 4.9)-4.12) of the update rules in step 4); 5.5) After the micro-element A is updated, determine whether the current billet layer has been updated. If it has been updated, record the current time t. i Then the total construction time of the previous layer is the current time t. i Subtract the last billet layer update time t i-1 If no update occurs, further verification is needed to determine whether the design thickness of the silo surface and the characteristic value of the pouring state are in the vibration state s4. 5.6) Based on whether the concrete thickness ch of the micro-element spatial characteristic class reaches the design thickness of the placement surface, and whether the pouring state characteristic value s is in the vibration state s4, a comprehensive judgment is made on whether the pouring operation is completed. 5.7) If the determination is negative, repeat steps 5.5)-5.6). If the determination is positive, the pouring status of the slab surface will stop updating.

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