Indoor pipe network evaluation method and device based on building digital model, terminal and medium

Abstract

The invention discloses an indoor pipe network evaluation method and device based on a building digital model, a terminal and a medium, and relates to the field of indoor pipe networks. The method comprises the following steps: extracting indoor pipe network data based on a building information model, and constructing an indoor pipe network model considering a spatial geometrical relationship according to the indoor pipe network data; attacking the network model of the indoor pipe network, and evaluating the performance of the indoor pipe network from a topology dimension and a space dimension to obtain an indoor pipe network performance change curve and an influence area range of each attacked node; and determining an indoor pipe network evaluation result according to the indoor pipe network performance change curve and each influence area range, thereby effectively solving the problems that in the prior art, complex geometric and topological coupling characteristics of a pipe network in an indoor three-dimensional space are not fully considered, and the space complexity and dynamic change of the indoor pipe network cannot be effectively dealt with; and intelligent operation and maintenance and risk early warning of the indoor pipe network are influenced.

Description

Technical Field

[0001] The present invention relates to the field of indoor pipe networks, and in particular to an indoor pipe network evaluation method, device, terminal and medium based on building digital modeling. Background Art

[0002] Indoor pipe networks are a core component of urban infrastructure, directly impacting the daily lives of city residents and crucial for the smooth functioning of cities. Indoor pipe network components are complex and diverse in their 3D geometric primitives, and many span multiple floors, resulting in a dense spatial layout and complex indoor positioning.

[0003] Existing indoor pipe networks primarily abstractly extract valves as nodes and build mathematical models based on valve sensor data to monitor and control fluids within the network. However, this focus on two-dimensional pipe network modeling and analysis fails to fully consider the complex geometric and topological coupling characteristics of indoor three-dimensional pipe networks. This makes it impossible to effectively address the spatial complexity and dynamic changes of indoor pipe networks, hindering their intelligent operation and maintenance and risk warning capabilities.

[0004] Therefore, the existing technology still needs to be improved and developed. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide an indoor pipe network evaluation method, device, terminal and medium based on building digital modeling in response to the above-mentioned defects of the existing technology, aiming to solve the problem that the existing technology fails to fully consider the complex geometric and topological coupling characteristics of the pipe network in the indoor three-dimensional space, cannot effectively cope with the spatial complexity and dynamic changes of the indoor pipe network, and affects the intelligent operation and maintenance and risk warning of the indoor pipe network.

[0006] The technical solutions adopted by the present invention to solve the problem are as follows: In a first aspect, an embodiment of the present invention provides an indoor pipe network assessment method based on a building digital model, wherein the method comprises: Extracting indoor pipe network data based on a building information model, and constructing an indoor pipe network model based on the indoor pipe network data; Attacking the indoor pipe network model to determine the indoor pipe network performance change curve and the impact area of each attacked node; An indoor pipe network evaluation result is determined according to the indoor pipe network performance change curve and the range of each of the impact areas.

[0007] In one implementation method, constructing an indoor pipe network model based on the indoor pipe network data includes: Constructing valves and pipe fittings in the indoor pipe network data into nodes; The component connection relationship in the indoor pipe network data is obtained, and the indoor pipe network model is determined according to the component connection relationship and each of the nodes.

[0008] In one implementation method, determining the indoor pipe network model according to the component connection relationship and each of the nodes includes: Generate edge relationships of nodes based on the component connection relationships and each of the nodes; A preset custom tolerance and a preset deviation parameter are obtained, and the edge relationship of the node is corrected based on the preset custom tolerance and the preset deviation parameter to determine the indoor pipe network model.

[0009] In one implementation method, attacking the indoor pipe network model to determine the indoor pipe network performance change curve includes: Attacking the indoor pipe network model to determine indoor pipe network performance corresponding to the indoor pipe network model after each node is attacked; The indoor pipe network performance change curve is determined according to the performance of each indoor pipe network.

[0010] In one implementation method, the attack includes a deliberate attack on the indoor pipe network model, and determining the indoor pipe network performance corresponding to each node of the indoor pipe network model after the attack includes: Sort each node in the indoor pipe network model according to the centrality corresponding to each node to determine a node sequence; The indoor pipe network model is intentionally attacked according to the node sequence, and the indoor pipe network performance corresponding to the indoor pipe network model is determined after each node is attacked.

[0011] In one implementation method, sorting each node in the indoor pipe network model according to the centrality corresponding to each node to determine the node sequence includes: Calculating the betweenness centrality and closeness centrality corresponding to each node in the indoor pipe network model; The nodes are sorted according to the betweenness centrality and the closeness centrality corresponding to each node to determine the node sequence.

[0012] In one implementation method, attacking the indoor pipe network model to determine the impact area of each attacked node includes: Attacking the nodes of the indoor pipe network model and calculating the bounding box range corresponding to each neighboring node within a preset spatial distance of the attacked node; The impact area range of the attacked node is determined according to the range of each bounding box.

[0013] In a second aspect, an embodiment of the present invention further provides an indoor pipe network evaluation device based on a building digital model, wherein the indoor pipe network evaluation device based on a building digital model comprises: An indoor pipe network model construction module is used to extract indoor pipe network data based on a building information model and construct an indoor pipe network model based on the indoor pipe network data; A topological dimension and spatial dimension evaluation module, used to attack the indoor pipe network model, determine the indoor pipe network performance change curve and the impact area of each attacked node; The indoor pipe network evaluation result determination module is used to determine the indoor pipe network evaluation result according to the indoor pipe network performance change curve and the range of each of the impact areas.

[0014] In a third aspect, an embodiment of the present invention further provides a terminal comprising a memory and one or more processors; the memory stores one or more programs; the programs include instructions for executing any of the indoor pipe network assessment methods based on building digital models as described above; and the processor is used to execute the programs.

[0015] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium on which a plurality of instructions are stored, wherein the instructions are suitable for being loaded and executed by a processor to implement any of the above-mentioned indoor pipe network evaluation methods based on building digital models.

[0016] Beneficial effects of the present invention: The embodiments of the present invention extract indoor pipe network data based on a building information model, construct an indoor pipe network model based on the indoor pipe network data; attack the indoor pipe network model to determine the indoor pipe network performance change curve and the impact area range of each attacked node; and determine the indoor pipe network evaluation result based on the indoor pipe network performance change curve and the impact area range. Because the present invention extracts indoor pipe network data from the building information model of the indoor pipe network to construct an indoor pipe network model that retains spatial geometric relationships, and analyzes the topological and spatial dimensions based on the indoor pipe network model, it can effectively solve the problem that the existing technology fails to fully consider the complex geometric and topological coupling characteristics of pipe networks in indoor three-dimensional space, cannot effectively deal with the spatial complexity and dynamic changes of indoor pipe networks, and affects the intelligent operation and maintenance and risk warning of indoor pipe networks. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] 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 only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 It is a flow chart of an indoor pipe network evaluation method based on building digital modeling provided by an embodiment of the present invention.

[0019] Figure 2 It is a flowchart of a specific embodiment of the indoor pipe network evaluation method based on building digital model provided by an embodiment of the present invention.

[0020] Figure 3 It is a schematic diagram of connecting pipe fittings provided by an embodiment of the present invention.

[0021] Figure 4 This is a schematic diagram of the connection between pipe segments and pipe fittings provided by an embodiment of the present invention.

[0022] Figure 5 It is a schematic diagram of an indoor pipe network model provided by an embodiment of the present invention.

[0023] Figure 6 Schematic diagram of an attack provided by an embodiment of the present invention.

[0024] Figure 7 It is a schematic diagram of the internal modules of the indoor pipe network evaluation device based on building digital model provided by an embodiment of the present invention.

[0025] Figure 8 This is a principle block diagram of a terminal provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0026] The present invention discloses a method, device, terminal, and medium for indoor pipe network assessment based on building digital modeling. To further clarify the objectives, technical solutions, and effects of the present invention, the present invention is further described below with reference to the accompanying drawings and examples. It should be understood that the specific examples described herein are intended only to illustrate the present invention and are not intended to limit the present invention.

[0027] It will be understood by those skilled in the art that, unless expressly stated otherwise, the singular forms "a", "an", "said" and "the" used herein may also include the plural forms. It should be further understood that the term "comprising" used in the description of the present invention refers to the presence of the features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof. It should be understood that when we refer to an element as being "connected" or "coupled" to another element, it may be directly connected or coupled to the other element, or there may be intermediate elements. In addition, "connected" or "coupled" as used herein may include wireless connections or wireless couplings. The term "and / or" used herein includes all or any units and all combinations of one or more associated listed items.

[0028] It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by those skilled in the art in the art to which the present invention belongs. It should also be understood that terms such as those defined in common dictionaries should be understood to have meanings consistent with their meanings in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless specifically defined as herein.

[0029] Indoor pipe networks are a core component of urban infrastructure, directly impacting the daily lives of city residents and crucial for the smooth functioning of cities. Indoor pipe network components are complex and diverse in their 3D geometric primitives, and many span multiple floors, resulting in a dense spatial layout and complex indoor positioning.

[0030] Existing indoor pipe networks primarily abstractly extract valves as nodes and build mathematical models based on valve sensor data to monitor and control fluids within the network. However, this focus on two-dimensional pipe network modeling and analysis fails to fully consider the complex geometric and topological coupling characteristics of indoor three-dimensional pipe networks. This makes it impossible to effectively address the spatial complexity and dynamic changes of indoor pipe networks, hindering their intelligent operation and maintenance and risk warning capabilities.

[0031] To address the above-mentioned shortcomings of the prior art, the present invention provides an indoor pipe network assessment method based on building digital models. The method extracts indoor pipe network data based on a building information model, constructs an indoor pipe network model based on the indoor pipe network data, attacks the indoor pipe network model, determines the indoor pipe network performance change curve and the impact area range of each attacked node, and determines the indoor pipe network assessment result based on the indoor pipe network performance change curve and the impact area range. Because the present invention extracts indoor pipe network data from the building information model of the indoor pipe network to construct an indoor pipe network model that preserves the spatial geometric relationships of the indoor pipe network, and analyzes the topological and spatial dimensions based on the indoor pipe network model, it can effectively address the problem that the prior art fails to fully consider the complex geometric and topological coupling characteristics of pipe networks in indoor three-dimensional space, cannot effectively address the spatial complexity and dynamic changes of indoor pipe networks, and thus affects the intelligent operation and maintenance and risk warning of indoor pipe networks.

[0032] Exemplary methods: like Figure 1 As shown, the method includes: Step S100: extracting indoor pipe network data based on a building information model, and constructing an indoor pipe network model according to the indoor pipe network data.

[0033] Indoor pipe networks refer to all types of piping systems within a building, including drainage, gas, heating, ventilation, and more. Indoor pipe network data describes the indoor pipe network, including the names and parameters of various components within the pipe network, as well as the connections between them. This embodiment extracts indoor pipe network data based on Building Information Modeling (BIM) and constructs an indoor pipe network model based on this data. This model enables accurate assessment of indoor pipe networks with dense spatial layouts and complex indoor positioning.

[0034] In one implementation, constructing an indoor pipe network model based on the indoor pipe network data includes: Step S101: construct valves and pipe fittings in the indoor pipe network data into nodes; Step S102: Obtain component connection relationships in the indoor pipe network data, and determine the indoor pipe network model according to the component connection relationships and each of the nodes.

[0035] Specifically, if Figure 2 As shown, constructing an indoor pipe network model based on indoor pipe network data includes: defining indoor pipe network nodes. Exporting indoor pipe network data in an open building data standard format (IFC format) based on building information modeling software. Define valve component entities and pipe fitting component entities in the indoor pipe network data in an open building data standard format as nodes of the indoor pipe network model, and distinguish them with unique identifiers (IDs). Define indoor pipe network edge relationships. Based on the component connection relationship in the indoor pipe network data, establish edge relationships between the component entities of valves and pipe fittings, thereby obtaining an indoor pipe network model. In this embodiment, indoor pipe network data in an open building data standard format is exported through building information modeling software, and node and edge relationships are defined based on the indoor pipe network data, so that the constructed indoor pipe network model can comply with industry standards and can simplify the indoor pipe network while retaining the spatial geometric relationship of the indoor pipe network.

[0036] In one implementation, determining the indoor pipe network model according to the component connection relationship and each of the nodes includes: Step S1021: Generate edge relationships of nodes based on the component connection relationships and the nodes; Step S1022: Obtain a preset custom tolerance and a preset deviation parameter, correct the edge relationship of the node based on the preset custom tolerance and the preset deviation parameter, and determine the indoor pipe network model.

[0037] Specifically, between nodes (valves, pipe fittings), edge relationships are mainly established through component entities of pipe segments, or through direct connections between component entities. Based on component connection relationships, this embodiment defines two types of edge relationships: one is direct connection between pipe fittings; the other is connection established through one or more pipe segments, such as Figure 3 、 Figure 4 As shown, Figure 3 In the middle, the pipes are directly connected to each other. Figure 4 To connect two pipe fittings through a pipe segment. In some cases, pipe fittings are connected through 1-N pipe segments. For these cases, the connection relationship between pipe segments and pipe fittings is determined based on the component connection relationship, and edges are further constructed. The correspondence between the actual pipe network and the open building data standard format is shown in Table 1.

[0038] Table 1 Correspondence between the actual pipe network and the open building data standard format

[0039] Based on the defined node and edge relationships, the geometric data types are converted into unified geometric primitives (TopoDS_Shape format) and stored with component identifiers and node edge relationships.

[0040] For the edge relationship of node identification, the "intersection-separation" three-dimensional topological relationship is used to correct the edge relationship. Based on the preset custom tolerance and preset deviation parameters, if there is an intersection relationship between the two, it is recorded in the node topological relationship set (i.e., node identifier combination), and their identifiers are stored in the topological relationship list to form the connectivity relationship between the pipe network components. Based on the definition of the edge relationship and the connectivity relationship between the pipe network components, the indoor pipe network model is established, such as Figure 5 As shown in the figure, this embodiment uses preset custom tolerances and deviation parameters to detect the three-dimensional topological relationships between component entities, accurately identifying their intersection and separation states, and then determining the topological relationships of pipe network nodes, achieving accurate construction of edge relationships in indoor pipe network models. This method effectively overcomes the limitations of existing three-dimensional topological relationship recognition methods, which only apply to regular entities and are difficult to transfer, and significantly improves the accuracy of topological relationship recognition in indoor pipe network models.

[0041] Step S200: attack the indoor pipe network model to determine the indoor pipe network performance change curve and the impact area range of each attacked node.

[0042] In simple terms, it simulates the aging, man-made damage, and construction that may occur in real-life indoor pipe networks, and attacks the nodes of the indoor pipe network model. Figure 6 As shown, Figure 6(a) is the indoor pipe network model before the attack. When the attack is carried out on node 1, making node 1 invalid, the first-order edge relationship associated with node 1 becomes invalid, and we get Figure 6 The indoor pipe network model shown in (b) is shown. When each node is attacked, the indoor pipe network performance changes of the indoor pipe network model are evaluated from the topological dimension. After attacking several nodes, an indoor pipe network performance change curve is obtained. The impact area of the attacked node is evaluated from the spatial dimension. The impact area represents the spatial impact range of the attacked node. By evaluating the indoor pipe network model from both the topological and spatial dimensions, this embodiment can effectively address situations such as complex and diverse indoor pipe network geometric primitives and dense spatial layouts, thereby improving the accuracy of the evaluation results.

[0043] In one implementation, attacking the indoor pipe network model to determine the indoor pipe network performance change curve includes: Step S201: attacking the indoor pipe network model to determine the indoor pipe network performance corresponding to the indoor pipe network model after each node is attacked; Step S202: Determine the indoor pipe network performance change curve according to the performance of each indoor pipe network.

[0044] Specifically, when an attack is launched on a node in the indoor pipe network model, rendering it inoperable, the attacked node and its first-order adjacent edges are removed from the indoor pipe network model. After each attack, the indoor pipe network performance corresponding to the indoor pipe network model is calculated. After several attacks, an indoor pipe network performance curve is generated based on the performance of each indoor pipe network corresponding to the indoor pipe network model.

[0045] The performance of the indoor pipe network is determined by the maximum connected subgraph ratio corresponding to the indoor pipe network model and the global efficiency of the network. Among them, the maximum connected subgraph ratio is used to evaluate the maximum connectivity level of the network, reflecting the current network's ability to maintain node connectivity and integrity. If the indoor pipe network model can still maintain a high maximum connected subgraph ratio after removing several nodes, it means that the remaining nodes are still interconnected. Nodes with larger connected subgraphs have better effectiveness. Maximum connected subgraph ratio The calculation formula is: , Where, represents the number of nodes in the largest connected component after network failure, represents the total number of nodes in the network, Indicates the The closer the maximum connected subgraph ratio of the network is to 1, the more complete and reliable the structure of the indoor pipe network is; conversely, the closer it is to 0, the greater the impact of node removal on the indoor pipe network is, and the greater the vulnerability of the indoor pipe network is.

[0046] Global efficiency quantifies the ability of the indoor pipe network to resist external disturbances after nodes are removed. 、 The node is The neighbor nodes of the node, when removed After the node 、 If there is no path to the node, is infinite, then The reciprocal of is close to 0, and the connectivity efficiency is the lowest. Therefore, the average connectivity efficiency between the nodes of the indoor pipe network is expressed as express: ; in, is the number of nodes in the indoor pipe network model, is a node The set of neighbor nodes of Removing a node After that, the node and nodes The shortest path length between . If and If there is no path between is defined as infinite and its contribution to local efficiency is 0.

[0047] In one implementation, the attack includes a deliberate attack on the indoor pipe network model, and determining the indoor pipe network performance corresponding to the indoor pipe network model after each node is attacked includes: Step S2011: sorting each node in the indoor pipe network model according to the centrality corresponding to each node to determine a node sequence; Step S2012: Perform a deliberate attack on the indoor pipe network model according to the node sequence, and determine the indoor pipe network performance corresponding to the indoor pipe network model after each node is attacked.

[0048] Specifically, the attack includes two attack strategies: random attack and intentional attack. Random attack is to attack the nodes in the indoor pipe network model by random. Random attack mainly corresponds to accidental pipe damage caused by pipe aging, natural disasters, etc. Intentional attack is to attack based on the importance of the node or manually select the node. Intentional attack mainly corresponds to planned pipe damage or shutdown caused by human operation, pipe construction, etc. In this embodiment, two attack strategies, random attack and intentional attack, are adopted for the three-dimensional indoor pipe network. However, there is no restriction on the order of random attack and intentional attack. The three-dimensional indoor pipe network can be attacked randomly first, and then the intentional attack; or the three-dimensional indoor pipe network can be attacked intentionally first, and then the random attack.

[0049] A random attack is performed on the indoor pipe network model to determine a first indoor pipe network performance change curve and a first impact area range corresponding to each attacked node, wherein the first indoor pipe network performance change curve is composed of the indoor pipe network performance corresponding to the indoor pipe network model after each node is randomly attacked, and the first impact area range is the impact area range corresponding to each randomly attacked node; an intentional attack is performed on the indoor pipe network model to determine a second indoor pipe network performance change curve and a second impact area corresponding to each attacked node, wherein the second indoor pipe network performance change curve is composed of the indoor pipe network performance corresponding to the indoor pipe network model after each node is intentionally attacked, and the second impact area range is the impact area range corresponding to each intentionally attacked node; the pipe network performance change curve corresponding to the indoor pipe network model is determined based on the first pipe network performance change curve and the second pipe network performance change curve; the impact area range corresponding to each attacked node is determined based on the first impact area range and the second impact area range.

[0050] When a random attack is carried out on the indoor pipe network model, a node in the indoor pipe network model is randomly selected, and the indoor pipe network performance and the affected area range corresponding to the indoor pipe network model after the node is attacked are calculated; the steps of randomly selecting a node in the indoor pipe network model for attack, and calculating the indoor pipe network performance and the affected area range of the indoor pipe network model after the node is attacked are repeated until the number of attacks is greater than or equal to the preset number of attacks or all nodes in the indoor pipe network model have been attacked.

[0051] Considering that the centrality of the node can accurately reflect the relative influence of the node in the pipe network, when the indoor pipe network model is intentionally attacked, the nodes in the indoor pipe network model are first sorted according to the centrality of each node to obtain a node sequence. Then, the nodes in the indoor pipe network model are attacked according to the node sequence, and the indoor pipe network performance corresponding to the indoor pipe network model after each node is attacked is calculated.

[0052] In one implementation, sorting each node in the indoor pipe network model according to the centrality corresponding to each node to determine the node sequence includes: Step S20121: Calculate the betweenness centrality and closeness centrality corresponding to each node in the indoor pipe network model; Step S20122: Sort each node according to the betweenness centrality and the closeness centrality corresponding to each node to determine the node sequence.

[0053] Specifically, the indicators for measuring the centrality of a node include degree centrality, betweenness centrality, closeness centrality, and Katz centrality. Combining the calculation results of each centrality indicator with the display of a three-dimensional visualization graph, betweenness centrality and closeness centrality are determined as centrality determination indicators in the embodiment. Among them, betweenness centrality means that under the benchmark of the shortest path, the more times a node passes through, the more important the node is in the indoor pipe network. Node Betweenness centrality The calculation method is expressed as: ; in, Representation node arrive The total number of shortest paths, Representation node arrive The shortest path through the number of is the number of nodes in the indoor pipe network model.

[0054] Closeness centrality measures the average shortest path length from a node to all other nodes in the indoor network. Nodes with higher closeness centrality have shorter average distances to other nodes in the indoor network and can more quickly exert influence on the entire network. Closeness centrality is calculated as: ; in, For nodes The closeness centrality of Indicates the network medium slave node The average distance length of transmission to other nodes is expressed as follows: ; Representation node To Node The distance between For nodes The number of other nodes that transmitted.

[0055] In one implementation, attacking the indoor pipe network model to determine the impact area of each attacked node includes: Step S203: attacking the nodes of the indoor pipe network model, and calculating the bounding box range corresponding to each neighboring node within a preset spatial distance of the attacked node; Step S204: Determine the impact area of the attacked node according to the bounding box ranges.

[0056] Specifically, the impact area is an indicator based on the geometric coordinates of the complex network, which is used to quantify the size of the area that may be affected after the failure of a single or multiple components. and the set influence radius r , As a variable, it can represent the vertex coordinates of the bounding box range and determine the range of an axis-aligned bounding box: ; The impact zone is the union of the bounding boxes of all components. The larger the bounding box, the wider the potential impact range and the greater the number of affected components. By calculating the number of components within this area, the potential impact of a local failure on the entire pipe network system can be effectively assessed. In this embodiment, the impact zone is calculated based on the distribution of nodes in the indoor pipe network model.

[0057] When a node in the indoor pipe network model is attacked randomly or intentionally, the influence area of each neighboring node within a preset spatial distance (e.g., 1 meter, 5 meters) of the attacked node within the bounding box is calculated. The influence area of the attacked node is determined based on the influence area of each neighboring node within the bounding box. This embodiment introduces the Pearson correlation coefficient analysis method to detect the degree of correlation between the centrality index of a node and the scope of its influence area. The detection result represents the robustness of the pipe network topology in the spatial dimension. This embodiment introduces a preset spatial distance to quantify the influence range after the node fails, and accordingly removes the nodes of the indoor pipe network model within the preset spatial distance, thereby overcoming the limitation of traditional methods that only analyze topological features.

[0058] Step S300: Determine an indoor pipe network evaluation result according to the indoor pipe network performance change curve and the range of each of the impact areas.

[0059] Simply put, the topological evaluation results corresponding to the indoor pipe network model are obtained based on the indoor pipe network performance change curve; the spatial evaluation results corresponding to the indoor pipe network model are determined based on the scope of each impact area; and the indoor pipe network evaluation results are determined based on the topological and spatial evaluation results. This embodiment integrates the topological and spatial evaluation results to analyze the spatial correlation between the impact area scope and the centrality index, so that the indoor pipe network evaluation results can provide theoretical reference and decision support for the optimized layout of the indoor pipe network.

[0060] Based on the above embodiments, the present invention also provides an indoor pipe network evaluation device based on building digital model, such as Figure 7 As shown, the device includes: Indoor pipe network model construction module 01, used to extract indoor pipe network data based on the building information model, and construct an indoor pipe network model according to the indoor pipe network data; The topological dimension and spatial dimension evaluation module 02 is used to attack the indoor pipe network model to determine the indoor pipe network performance change curve and the impact area of each attacked node; The indoor pipe network evaluation result determination module 03 is configured to determine the indoor pipe network evaluation result according to the indoor pipe network performance change curve and the range of each of the impact areas.

[0061] Based on the above embodiment, the present invention further provides a terminal, whose principle block diagram can be shown as follows: Figure 8 As shown. The terminal includes a processor, a memory, a network interface, and a display screen connected via a system bus. The processor of the terminal is used to provide computing and control capabilities. The memory of the terminal includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the terminal is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, an indoor pipe network evaluation method based on building digital modeling is implemented. The display screen of the terminal can be a liquid crystal display or an electronic ink display.

[0062] Those skilled in the art will understand that Figure 8 The principle block diagram shown in the figure is only a block diagram of a partial structure related to the solution of the present invention, and does not constitute a limitation on the terminal to which the solution of the present invention is applied. The specific terminal may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0063] In one implementation, the terminal has one or more programs stored in its memory and is configured to be executed by one or more processors. The one or more programs include instructions for performing an indoor pipe network assessment method based on building digital modeling.

[0064] Those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments can be implemented by instructing the relevant hardware using a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the above-described method embodiments. Any reference to memory, storage, database, or other media used in the various embodiments provided herein may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct RAMbus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM).

[0065] In summary, the present invention discloses an indoor pipe network assessment method, device, terminal, and medium based on a building digital model. The method extracts indoor pipe network data based on a building information model, constructs an indoor pipe network model based on the indoor pipe network data, attacks the indoor pipe network model, determines the indoor pipe network performance change curve and the impact area range of each attacked node, and determines the indoor pipe network assessment result based on the indoor pipe network performance change curve and the impact area range. Because the present invention extracts indoor pipe network data from the building information model of the indoor pipe network to construct an indoor pipe network model that retains the spatial geometric relationship of the indoor pipe network, and analyzes the topological and spatial dimensions based on the indoor pipe network model, it can effectively solve the problem that the existing technology fails to fully consider the complex geometric and topological coupling characteristics of the pipe network in the indoor three-dimensional space, cannot effectively deal with the spatial complexity and dynamic changes of the indoor pipe network, and affects the intelligent operation and maintenance and risk warning of the indoor pipe network.

[0066] It should be understood that the application of the present invention is not limited to the above examples. For those skilled in the art, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to the present invention.

Claims

1. A method for evaluating indoor pipe networks based on building digital models, characterized in that: The method comprises: Extracting indoor pipe network data based on a building information model, and constructing an indoor pipe network model based on the indoor pipe network data; Attacking the indoor pipe network model to determine the indoor pipe network performance change curve and the impact area of each attacked node; An indoor pipe network evaluation result is determined according to the indoor pipe network performance change curve and the range of each of the impact areas.

2. The indoor pipe network evaluation method based on building digital model according to claim 1 is characterized in that: Constructing an indoor pipe network model according to the indoor pipe network data includes: Constructing valves and pipe fittings in the indoor pipe network data into nodes; The component connection relationship in the indoor pipe network data is obtained, and the indoor pipe network model is determined according to the component connection relationship and each of the nodes.

3. The indoor pipe network evaluation method based on building digital model according to claim 2 is characterized in that: Determining the indoor pipe network model according to the component connection relationship and each of the nodes includes: Generate edge relationships of nodes based on the component connection relationships and each of the nodes; A preset custom tolerance and a preset deviation parameter are obtained, the edge relationship is corrected based on the preset custom tolerance and the preset deviation parameter, and the indoor pipe network model is determined.

4. The indoor pipe network evaluation method based on building digital model according to claim 1 is characterized in that: Attacking the indoor pipe network model to determine the indoor pipe network performance change curve includes: Attacking the indoor pipe network model to determine indoor pipe network performance corresponding to the indoor pipe network model after each node is attacked; The indoor pipe network performance change curve is determined according to the performance of each indoor pipe network.

5. The indoor pipe network evaluation method based on building digital model according to claim 4 is characterized in that: The attack includes a deliberate attack, which attacks the indoor pipe network model, and determines the indoor pipe network performance corresponding to the indoor pipe network model after each node is attacked, including: Sort each node in the indoor pipe network model according to the centrality corresponding to each node to determine a node sequence; The indoor pipe network model is intentionally attacked according to the node sequence, and the indoor pipe network performance corresponding to the indoor pipe network model is determined after each node is attacked.

6. The indoor pipe network evaluation method based on building digital model according to claim 5 is characterized in that: Sorting each node in the indoor pipe network model according to the centrality corresponding to each node to determine a node sequence includes: Calculating the betweenness centrality and closeness centrality corresponding to each node in the indoor pipe network model; The nodes are sorted according to the betweenness centrality and the closeness centrality corresponding to each node to determine the node sequence.

7. The indoor pipe network evaluation method based on building digital model according to claim 1 is characterized in that: Attacking the indoor pipe network model to determine the impact area of each attacked node includes: Attacking the nodes of the indoor pipe network model and calculating the bounding box range corresponding to each neighboring node within a preset spatial distance of the attacked node; The impact area range of the attacked node is determined according to the range of each bounding box.

8. An indoor pipe network evaluation device based on building digital model, characterized in that: The device comprises: An indoor pipe network model construction module is used to extract indoor pipe network data based on a building information model and construct an indoor pipe network model based on the indoor pipe network data; A topological dimension and spatial dimension evaluation module, used to attack the indoor pipe network model, determine the indoor pipe network performance change curve and the impact area of each attacked node; The indoor pipe network evaluation result determination module is used to determine the indoor pipe network evaluation result according to the indoor pipe network performance change curve and the range of each of the impact areas.

9. A terminal, characterized in that: The terminal includes a memory and one or more processors; the memory stores one or more programs; the program contains instructions for executing the indoor pipe network assessment method based on building digital model as described in any one of claims 1-7; and the processor is used to execute the program.

10. A computer-readable storage medium having a plurality of instructions stored thereon, characterized in that: The instructions are loaded and executed by the processor to implement the steps of the indoor pipe network evaluation method based on building digital modeling as described in any one of claims 1 to 7 above.

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